The Mediating Role of Digital Skills in the Impact of Career Adapt-Ability on Career Sustainability in Sports Centers

The Mediating Role of Digital Skills in the Impact of Career Adapt-Ability on Career Sustainability in Sports Centers | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The Mediating Role of Digital Skills in the Impact of Career Adapt-Ability on Career Sustainability in Sports Centers Oktay Yiğit, Alptuğ Soyer This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9006672/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study aimed to examine the impact of career adaptability on the career sustainability of personnel working in sports centers and to reveal the mediating role of digital skills in this relationship. The study employed the relational survey model, one of the quantitative research methods. The sample of the study consists of personnel working at a sports center located in the province of Kayseri. The data collection tool was a questionnaire comprising four sections. The first section includes questions regarding demographic information, the second section features the "Career Adapt-Abilities Scale," the third section contains the "Career Sustainability Scale," and the final section includes the "Digital Skills Scale.". The SPSS 26 and AMOS software were utilized for data analysis; following descriptive statistics, the Hayes Process Macro analysis was employed to examine the mediating role of digital skills in the effect of the independent variable on the dependent variable. The results of the research determined that the career adaptability of sports center employees has a significant and positive effect on career sustainability. Additionally, it was identified that career adaptability significantly increases digital skills, and digital skills, in turn, positively affect career sustainability. The findings of the Hayes Process analysis demonstrated that digital skills play a partial mediating role in the relationship between career adaptability and career sustainability. These results reveal that not only psychosocial adaptability skills, but also digital competencies are essential for strengthening the career sustainability of employees. Digital Skills Sports Centers Career Sustainability Career Adapt-Abilities Figures Figure 1 Figure 2 1. Introduction The digitalization process that began in the 21st century has led to significant changes both economically and socially. These changes have caused a fundamental transformation in many areas, from the way business is conducted and processes are carried out to the ways in which people are employed (Garcia Romanos & Martínez-Ros, 2023: 695). Furthermore, while creating new employment opportunities, this process has made continuous learning and digital skills a necessity for employees. Therefore, educational programs also need to change to increase digital literacy at the societal level (Nazarova et al., 2024 ). The sports industry is also keeping pace with this development, paving the way for the emergence of the digital sports industry. Therefore, digital skills emerge as an important factor in the development of the digital sports industry. Today, supporting digital sports development alongside educational improvements has become a necessity (Liu, Wei, She & Qiujing, 2024 : 629). In this regard, the concept of career adaptation skills, which encompasses employees' ability to adapt to new situations and develop themselves, has gained importance. Individuals encounter new job roles and career transitions at different times in their careers. This situation has necessitated that individuals reorganize their goals, attitudes, personality, and job characteristics. Career Adapt-abilities emerge as an effective factor in enabling these necessary adjustments (Klehe et al., 2011: 218). Career adapt-ability is a critical skill that individuals must possess both in performing their duties and in making career decisions in their professional lives (Dufy, 2010: 420). Career adapt-ability is a psychosocial construct that refers to the resources individuals use to cope with expectations, transitions, and traumas they experience while performing their duties in their professional lives (Savickas, 1997 : 255). These resources are dimensioned as anxiety, control, curiosity, and confidence (Savickas and Porfeli, 2012: 663). Due to its evolving and changing nature, the sports industry presents both opportunities and threats in terms of career. Therefore, the career adaptation skills of individuals within the sports industry are becoming increasingly important (Uyar, Uyar, & Erdeveciler, 2024 ). It is believed that the digital skills individuals will acquire by using their career adaptation skills to keep up with developing technology will be important for career sustainability. Career sustainability is critically important in terms of individuals' personal success, organizational performance, and the healthy functioning of labor markets (De Vos & Van der Heijden, 2017 : 42). The digitalizing business world is transforming both the structure and processes of work; this situation also changes the competencies expected from human resources. Today, employees who stand out thanks to their digital skills are preferred more, and this directly affects career sustainability (Rogers, 2016 : 14; Oğan and Çetiner, 2024: 120). Therefore, ensuring sustainability for both businesses and employees requires the development of career management processes that also encompass digital competencies. ( Oğan and Çetiner, 2024: 120 ). Sophie and Crispus ( 2024 : 412) mention in their work that digital skills are of vital importance in the employment of individuals in the developing and globalizing business world. They also found that high digital skills have a positive relationship with high employment rates and job satisfaction. Oğan and Çetiner (2024: 117) determined in their study that there is a positive relationship between digital skills and career sustainability among executive assistants. GhaviPanjeh, Hosseini Asgarabadi, and Piri ( 2025 ) emphasized that specialized skills, technology integration, job flexibility, continuous professional development, and the alignment of individual competencies with job requirements are critical for building a sustainable career path in sports organizations. While studies revealing the impact of career fit on digital competencies (Anwar, Djudiyah, Hasanati, & Sulaiman, 2023) and career sustainability (Rudolph, Lavigne, & Zacher, 2017 ) exist in the literature, no study modeling the mediating effect of digital competencies on the impact of career fit on career sustainability has been found. The absence of a study tailored to this model, particularly in the context of sports centers, creates a significant gap in the field. This research aims to fill this gap. Therefore, the purpose of this study is to examine the effect of career adapt-ability of employees in sports centers on career sustainability and to test the mediating role of digital skills in this relationship. In this way, it is aimed to contribute to the literature on career psychology, digital transformation, and sports facility management at both theoretical and practical levels. This study offers three unique contributions: Conceptual contribution: By integrating career adapt-ability and digital skills, it provides a new perspective on sustainable career understanding. Contextual contribution: Given the limited research conducted specifically on sports centers, this study provides a unique sectoral context. Applied contribution: It provides guidance to managers at sports centers on developing strategic human resources policies that support employee career development in the age of digital transformation. In conclusion, because we are in the age of digitalization, individuals' career sustainability depends not only on their psychosocial adaptation skills but also on their ability to effectively use digital skills. In this context, the model created by the research presents an important research topic both academically and in the field of application. The findings of the study are expected to shed light on the human resources dimension of digital transformation strategies in sports centers and to form the basis for practices that will support the long-term career success of employees. 2. Conceptual Framework and Hypothesis Development 2.1. Career Adapt-Abilities Before defining career adapt-ability, it is necessary to mention the career construction theory that forms the theoretical basis of this concept. Career construction theory (Savickas, 2005 ) defines individual development as a process guided by adaptation to a social environment to achieve environmental integration. This model focuses solely on the job role because it addresses social expectations for individuals to prepare for and participate in job roles and then cope with career transitions between professional positions (Savickas and Porfeli, 2012: 661). Career adapt-ability is a psychosocial construct that refers to the resources individuals use to cope with expectations, transitions, and traumas experienced in their professional lives (Savickas, 1997 : 255). "This construct consists of four dimensions: anxiety, control, curiosity, and confidence. These resources also form the self-regulation skill in career development (Savickas and Porfeli, 2012: 663). Chen, Fang, Liu, Pang, Wen, Chen, and Gu (2020) stated in their study that career adapt-abilities may benefit skills related to career sustainability, such as adapting to changes, balancing career roles, and maintaining skills while coping with career roles. Considering studies showing that career adapt-ability may affect career sustainability, the following hypothesis was formulated. H1. The career adapt-abilities of sports center employees have a positive effect on their career sustainability. 2.2. Career Sustainability Career sustainability is a dynamic structure that involves protecting and developing the resources individuals possess and adapting to changes, ensuring the long-term continuity of the job roles they experience throughout their working lives in terms of health, meaning/happiness, and productivity. (Van der Heijden & De Vos, 2015 ; De Vos, Van der Heijden & Akkermans, 2020). The foundation of a sustainable career lies in the preservation and enhancement of individual resources (Hobfoll, 2001 ), the fulfillment of psychological needs (Ryan & Deci, 2000 ), and lifelong adaptation strategies (Baltes et al., 1999 ; Carstensen, 2006 ). When examining individuals' career development processes, it is seen that they develop in a dynamic and unpredictable economic environment. Therefore, the importance of career sustainability has increased even more for individuals, institutions, and society (Lawrence et al., 2015 ; Chin, Jawahar, & LI, 2021 : 1). Today, with the rapid development of technology, economic fluctuations, and the impact of globalization, work environments have become even more dynamic; this situation has made it necessary for individuals, institutions, and states to place greater importance on career transformation and career adaptation processes (Aşkun, 2023 : 533). In this context, it is considered that possessing digital skills and career adaptation to adapt to technological developments may have an impact on career sustainability. 2.3. Digital Skills Today, organizations in the workplace need employees who can generate knowledge, transmit this knowledge through digital channels, and possess high-level digital skills more than ever before. In the 21st century, employees' digital skills, such as information, communication, collaboration, critical thinking, creativity, and problem solving, have become a critical factor that directly affects their job performance, career development, and career sustainability (Van Laar, Van Deursen, Van Dijk & De Haan, 2017 ). Audrin, Audrin & Salamin ( 2024 ) identified eight dimensions related to digital skills in their work to dimension digital skills in the workplace and develop a validated scale. These dimensions are Technology use, Cybersecurity, Content management, Communication and collaboration, Critical inquiry, Responsibility, Well-being, and Identity and development. As in many sectors, the sports industry has also been affected by digital developments. Digitalization has brought a dynamic structure to the sports industry, causing change and development in all areas related to sports. In sports, digitalization has improved and increased the performance of sports stakeholders (Demir, 2023 ,). These changes have affected many areas such as training, competition management, interaction with fans, and performance analysis (Ak, 2021 ). The era of digitalization has also begun in human resources management in sports, with core activities in this field moving to digital environments (Taştan, 2021 ). The ability of those working in the sports industry to effectively use digital platforms, data analysis tools, and communication technologies is now considered a fundamental professional competency. (Ratten, 2019 ). Therefore, it has become important for employees who will be employed in this field and those who are already employed to have digital skills in order to continue their careers. A review of the literature reveals that digital skills are associated with career sustainability (Bouwmans, Nguyen, and Lub, 2022 , Oğan and Çetiner, 2024) and career adaptability skills (Omar, Romli, Azeem, and Zakaria, 2023 , Denizli and Taçkın, 2018), but it has been determined that this is not often seen in the field of sports. Furthermore, no study has been found that models the mediating role of digital skills in the effect of career adapt-abilities on career sustainability specifically in sports centers. Therefore, the following hypotheses have been formulated. H2. The career adapt-abilities of sports center employees have a positive effect on their digital abilities. H3. The digital skills of sports center employees have a positive effect on their career sustainability. H4. Digital skills play a mediating role in the effect of career adapt-abilities on career sustainability among sports center employees. 3. Results Research Model A model was designed using correlational analysis methods from quantitative research designs to determine the effect of the mediating role in the study. Research Group The population for this study was defined as 400 personnel employed at a public owned sports centre in Kayseri province. The sample consisted of 226 personnel selected using simple random sampling. According to the Roasoft (2025) sample size calculation software, it was determined that the sample size representing this population should be at least 197 personnel with a 5% margin of error. Data Collection Tools A questionnaire consisting of four sections was used as the data collection tool in this research. The first section contained personal information form, the second section contained the “Career Adapt-ability Scale”, the third section contained the “Career Sustainability Scale”, and the last section contained the “Digital Skills Scale”. Personal Information Form Personal information was gathered through six questions regarding gender, age, marital status, education level, Position in the Institution, and years of work experience. Career Adaptabilities Scale The Career Adaptabilities Scale, developed by Savickas and Profeli (2012) and adapted into Turkish by Kanten ( 2012 ), consisted of 19 items. The scale had four dimensions: anxiety, control, curiosity, and confidence. The scale was a 5-point Likert type, with statements ranging from strongly agree to strongly disagree. The Cronbach's Alpha values for the scale were found to be 0.61 for the anxiety dimension, 0.77 for the control dimension, 0.79 for the curiosity dimension, and 0.81 for the confidence dimension. These values indicate that the scale can be used in scientific research in the field of social sciences. Career Sustainability Scale The Career Sustainability Scale, developed by Chin, Jawahar and Li ( 2021 ) and adapted into Turkish by Arar and Çetiner ( 2023 ), consisted of 12 items and 2 subscales (professionalism and adaptation, complementarity). The scale was a 6-point Likert type, with statements ranging from 1. Strongly agree to 6. Strongly disagree. The Cronbach's Alpha value for the professionalism and adaptation dimension of the scale was 0.94, while that for the complementarity sub-dimension was 0.92. Based on these results, it was decided that the scale could be used in the research. Data Collection Tools A questionnaire consisting of four sections was used as the data collection tool in this research. The first section contained personal information form, the second section contained the “Career Adapt-ability Scale”, the third section contained the “Career Sustainability Scale”, and the last section contained the “Digital Skills Scale”. Personal Information Form Personal information was gathered through six questions regarding gender, age, marital status, education level, Position in the Institution, and years of work experience. Career Adaptabilities Scale The Career Adaptabilities Scale, developed by Savickas and Profeli (2012) and adapted into Turkish by Kanten ( 2012 ), consisted of 19 items. The scale had four dimensions: anxiety, control, curiosity, and confidence. The scale was a 5-point Likert type, with statements ranging from strongly agree to strongly disagree. The Cronbach's Alpha values for the scale were found to be 0.61 for the anxiety dimension, 0.77 for the control dimension, 0.79 for the curiosity dimension, and 0.81 for the confidence dimension. These values indicate that the scale can be used in scientific research in the field of social sciences. Career Sustainability Scale The Career Sustainability Scale, developed by Chin, Jawahar and Li ( 2021 ) and adapted into Turkish by Arar and Çetiner ( 2023 ), consisted of 12 items and 2 subscales (professionalism and adaptation, complementarity). The scale was a 6-point Likert type, with statements ranging from 1. Strongly agree to 6. Strongly disagree. The Cronbach's Alpha value for the professionalism and adaptation dimension of the scale was 0.94, while that for the complementarity sub-dimension was 0.92. Based on these results, it was decided that the scale could be used in the research. Digital Skills Scale The "Digital Skills Scale," developed by Oğan and Çetiner, consisted of 16 items and four sub-dimensions: digital business intelligence, digital flexibility, digital agility, and digital collaboration. The scale was a 5-point Likert-type scale, ranging from 1 (Never) to 5 (Always). The Cronbach’s Alpha coefficient for the scale was found to be 0.88. This result indicated that the scale was suitable for use in scientific studies. Statistical Analysis SPSS 26 and AMOS software were utilized for the analysis of the data obtained within the scope of the study. The normality distribution of the variables was analyzed by examining the skewness and kurtosis values. It was determined that these values were between ± 1.5; therefore, the data exhibited a normal distribution. Tabachnick and Fidell ( 2013 ) stated that data would display a normal distribution if skewness and kurtosis values fell between − 1.5 and + 1.5. Additionally, it was observed that there was no multicollinearity problem (VIF < 10). The fact that VIF values were below 10 served as an indicator that there was no multicollinearity issue. Descriptive statistics (frequency and percentage) were utilized for the analysis of personal information questions. Regarding the research model, confirmatory factor analyses (CFA) of the variables were performed first. Subsequently, descriptive statistics such as mean and standard deviation were calculated, and Pearson correlation and Cronbach’s Alpha tests were applied to these variables. To determine the mediating role in the research model, the Hayes Process Macro was employed. Version 4.2 of this test, which was developed by Hayes (2018) as a plug-in for the SPSS software, was used with Model 4, as it was appropriate for the research design. Coefficients were calculated using the bootstrapping technique with 5,000 resamples at a 95% confidence interval (ensuring that the BootLLCI lower limit and BootULCI upper limit did not include the value of zero). 4. Discussion Discussions The test of the first hypothesis of the study found that career adapt-abilities have a positive effect on career sustainability among sports center employees. In a meta-analysis conducted by Rudolph, Lavigne, and Zacher ( 2017 ), it was observed that career adapt-abilities are positively related to adjustment responses associated with career sustainability, such as career identity, career satisfaction, organizational commitment, employability, promotion potential, and self-reported job performance. De Vos and Van Der Heijden ( 2017 ) define career sustainability as an individual's ability to maintain long-term employability. In this context, it can be said that career adapt-abilities are an important personal resource that increases the career sustainability of individuals working in sports organizations. Furthermore, Hall ( 2004 ) has demonstrated that adapt-abilities supports individuals in maintaining their validity in the changing conditions of modern working life. In this regard, it can be said that career adapt-abilities are an important personal resource that increases the career sustainability of individuals working in sports organizations. Similarly, Hartman, Fuqua, and Jenkins ( 1988 ) stated that individuals with a high internal locus of control have more sustainable careers, while Haenggli and Hirschi ( 2020 ) revealed that career adapt-abilities are a decisive factor in career success. However, there are also examples in the literature where the relationship between career adapt-abilities and career sustainability is not consistent across studies. For example, Ashton and Green ( 1996 ) reported that career adapt-abilities have a limited effect on employment sustainability in certain sectors. Similarly, Grubb and Lazerson (2005) indicated that educational level is a factor that strengthens this relationship, emphasizing that the effect of career adapt-abilities alone on sustainability may vary contextually. Therefore, the current findings are consistent with the general trend in the literature but also indicate that some context-specific differences may emerge. These results in the literature support the first hypothesis of the study. Testing the second hypothesis of the study revealed that the career adapt-abilities of sports center employees have a positive effect on their digital abilities. Today's societies, organizations, and jobs are undergoing a process of digitalization that is transforming them. Individuals who make up society generally focus on digital competencies in order to adapt to the technological revolution, increase their competitiveness and career skills, and reduce social exclusion. Even jobs where digital skills are not fundamental elements change significantly when digital objects and processes are integrated. This change forces employees and professionals to perform traditional tasks in very different ways (Piero and Martinez, 2022). Anwar, Djudiyah, Hasanati, and Sulaiman (2023) demonstrated through their experimental research that equipping bachelor's degree graduates with academic digital literacy skills has a positive effect on their career adaptability. Omar, Romli, Azeem, and Zakaria ( 2023 ) investigated the relationship between career adaptability skills and employability in their study and found a positive relationship between career adaptability skills and the sub-dimension of technology use and development in employability. Denizli and Taçkın (2018) also identified a positive relationship between attitudes toward information and communication technologies and career adapt-abilities. These findings show that career adaptabilities is an important personal capacity that supports the development of digital skills. On the other hand, some studies have revealed that the increase in digital skills does not necessarily have a positive effect on career adaptabilities, and that factors such as individual motivation, educational opportunities, and professional support are also decisive. For example, van Laar et al. ( 2017 ) stated that factors such as education and organizational support play a mediating role in the relationship between digital competence and professional adjustment. This result shows that the effect of digital skills on career adaptabilities can be strengthened by contextual factors. These evaluations of the literature support the result of the study's second hypothesis. The study found that the digital skills of sports organization employees have a positive impact on their career sustainability when testing the third hypothesis. In their study on human resource management and the development of digital skills to enable organizations to achieve economic sustainability, Zervas and Stiakakis (2024) stated that by developing their digital skills, employees can exist in the business world, advance, and improve themselves. In a meta-analysis conducted by Rudolph, Lavigne, and Zacher ( 2017 ), it was observed that career adapt-abilities are positively related to adjustment responses associated with career sustainability, such as career identity, career satisfaction, and employability. Similarly, De Vos and Van der Heijden ( 2017 ) define career sustainability as an individual's ability to maintain long-term employability. In this context, it can be said that career adaptabilities are an important personal resource that increases the career sustainability of individuals working in sports organizations. Furthermore, Hall ( 2004 ) revealed that career adaptabilities supports individuals in maintaining their validity in the changing conditions of modern working life. This finding shows that developing digital skills in employees increases career sustainability. Duică, Florea, Duică, and Tănăsescu ( 2020 ) emphasized the importance of digital skills for sustainable organizations in the new digital world. They stated that individuals who specialize in this way can develop their skills, minimize risks, increase the likelihood of making the right decisions, and improve their performance. Based on these results, it can be said that developing digital skills is important for organizational and career sustainability in sports organizations. Bouwmans, Nguyen, and Lub ( 2022 ) conducted a literature review and stated that developing digital skills is important for sustainable employment from the perspective of employees. However, while some studies find this relationship strong in every study, different results are also found in the literature. For example, Caroline et al. ( 2025 ) emphasize that the relationship between digital skills and career outcomes is sensitive to contextual factors in the literature. In this regard, systematic literature reviews reveal that the relationship between digital literacy and skills and employability and innovative work behavior can vary according to educational level, organizational context, and sector characteristics. Furthermore, Schwab (2016) noted that the impact of digital skills is more closely related to professional agility and learning culture. Oğan and Çetiner (2024) found a positive relationship between the digital skills of executive assistants in the workplace and their career sustainability. In his review study, Çınar ( 2025 ) stated that digitalization and digital skills play an important role in the future, transformation, and sustainability of the sports industry. These findings in the literature support the third hypothesis of the study. Analyses related to the final hypothesis of the study reveal that digital skills play a partial mediating role in the effect of career adaptabilities on career sustainability among sports organization employees. The fact that no study in the literature addresses these three variables within the same model strengthens the originality of the research. Therefore, the discussion section is structured in light of studies examining similar mediating relationships, even if they do not directly correspond to the model. Şen and Torlak ( 2025 ) found that digitalization plays a mediating role in the relationship between organizational culture and organizational agility. Sarı and Yahya (2024) observed a strong mediating effect of digitalization on the impact of a company's competitive strategy on its performance. Uğur (2024) found that digital transformation plays a mediating role between human-centered design approaches and business model innovation. In contrast, some studies have found the mediating role of digital skills on career development to be limited. For example, Kane and colleagues ( 2015 ) stated that the effect of digital competencies on individual and organizational outcomes largely depends on contextual factors such as organizational culture, learning opportunities, and managerial support. Such studies show that the mediating effect of digital competencies is shaped not only by itself but also by the organizational context in which it exists. These studies indirectly inform our work regarding the use of different variables to examine the mediating role of digitalization. Schweitzer, Lyons, and Smith (2023) argue that career adaptabilities, a dynamic process in achieving future career goals, enhances career sustainability. While Anwar et al. ( 2025 ) emphasize the importance of acquiring digital skills in the career adaptabilities of bachelor's degree graduates, Zhang and Chin (2024) reveal in their study that innovative work behaviors have a positive relationship with all dimensions of career sustainability in terms of digital skill acquisition. These three studies provide evidence that could support the mediating relationship presented in our model. In conclusion, the findings of this study clearly demonstrate that digital skills play a partial mediating role in the effect of career adapt-abilities on career sustainability in sports centers. It is recommended that measures be taken to develop the career adapt-abilities and digital skills of personnel employed in sports centers for the construction of a sustainable career. Furthermore, it is recommended that future studies include the sub-dimensions of the variables in the model and test it in different sports organizations. Academically, conducting different studies using a larger sample size and including the sub-dimensions of the variables in the model will contribute more to this field. 5. Conclusion In conclusion, the findings of this study clearly demonstrate that digital skills play a partial mediating role in the effect of career adapt-abilities on career sustainability in sports centers. It is recommended that measures be taken to develop the career adapt-abilities and digital skills of personnel employed in sports centers for the construction of a sustainable career. Furthermore, it is recommended that future studies include the sub-dimensions of the variables in the model and test it in different sports organizations. Academically, conducting different studies using a larger sample size and including the sub-dimensions of the variables in the model will contribute more to this field. Declarations Funding Not applicable. Conflict of interest / Competing interests The authors declare that they have no conflict of interest. Ethics approval and consent to participate This study was conducted in accordance with ethical standards. Ethical approval was obtained from the relevant institutional ethics committee, and informed consent was obtained from all participants prior to data collection. Consent for publication Not applicable. Data availability The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request. Materials availability Not applicable. Code availability Not applicable. Author contribution All authors contributed equally to the conception and design of the study, data collection, analysis, and interpretation of the results. 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Tables Table 1 Distribution of Skewness, Kurtosis, and VIF Values for the Variables of the Study Variables Skewness s Kurtosis s VIF Career Adapt-Abilities -0,58 0,16 1,05 0,32 2,22 Career Sustainability -0,99 0,16 1,03 0,32 2,22 Digital Skills -0,47 0,16 -0,05 0,32 2,22 When Table 1 was examined, it was observed that the skewness and kurtosis values of the variables under study were between + 1.5 and − 1.5, indicating that the data follow a normal distribution. Furthermore, the VIF values for all variables were 2.22, indicating that there was no multicollinearity problem (VIF < 10). When Table 2 was examined, it was determined that the majority of the participants consisted of individuals who were male (66.4%, n = 150), 36 years of age and older (50.4%, n = 114), and single (53.1%, n = 120). Additionally, it was found that the majority had an education level of bachelor's degree and above (57.5%, n = 130), held other positions (45.6%, n = 103) within the institution, and had a tenure of 3 years and above (66.8%, n = 151). Table 2 Distribution of demographic variables Variables f % Gender Female 76 33.6 Male 150 66.4 Total 226 100.0 Age Aged 35 and under 112 49.6 Aged 36 and older 114 50.4 Total 226 100.0 Marital Status Married 106 46.9 Single 120 53.1 Total 226 100.0 Educational Status Undergraduate degree and below 96 42.5 Bachelor's degree and above 130 57.5 Total 226 100.0 Position in the Institution Administrative Staff 50 22.1 Coach/Instructor 73 32.3 Other 103 45.6 Total 226 100.0 Years of Work Experience 2 years and below 75 33.2 3 years and above 151 66.8 Total 226 100.0 As a result of the confirmatory factor analysis conducted in Table 3 , it was determined that the scales of career adapt-abilities, career sustainability, and digital abilities were valid in terms of application, as their goodness-of-fit values met the acceptance criteria. Table 4 Reliability values of the scales Scales Items Cronbach Alpha (a) Career Adapt-Abilities 19 0.96 Career Sustainability 12 0.96 Digital Skills 16 0.95 When examining Model 1 in Table 6 , it was found that career adaptabilities in sports centres had a significant and positive effect on career sustainability (95% CI [0.1042; 1.1594], ß=1.045, t = 18.06, p = 0.00). This model was found to be significant, with 59.3% of the variation in the dependent variable explained by the independent variable (R² = 0.593, F = 326.33, p = 0.00). This result confirms H 1 hypothesis. Table 5 Descriptive statistics and correlation analyses 1 Variables x̄ sd 1 2 3 Career Adapt-Abilities 4.17 0.58 1 2 Career Sustainability 4.95 0.78 0.770** 1 3 Digital Skills 4.15 0.60 0.742** 0.722** 1 **p < 0.01 When Table 5 was examined, it was determined that the means of the variables, namely career adapt-abilities (x̄=4.17 ± 0.58), career sustainability (x̄=4.95 ± 0.78), and digital skills (x̄=4.15 ± 0.60) showed a high trend. Furthermore, it was found that the relationships between the variables were significant (p < 0.01) and positive." Table 6 Bootstrap regression analyses of the research via PROCESS macro. The Impact of Career Adapt-Ability Skills on Career Sustainability Regression BootCI Model Summary Model 1 ß SE t p BootLLCI BootULCI R 2 F p Constant 0.585 0.24 2.39 0.01 0.1042 1.0664 0.593 326.33 0.00 (X)→(Y) 1.045 0.05 18.06 0.00 0.9313 1.1594 The Impact of Career Adapt-Abilities on Digital Skills Regression BootCI Model Summary Model 2 ß SE t p BootLLCI BootULCI R 2 F p Constant 0.951 0.19 4.87 0.00 0.5672 1.3364 0.550 274.58 0.00 (X)→(M) 0.766 0.04 16.57 0.00 0.6753 0.8576 The Impact of Career Adapt-Abilities and Digital Skills on Career Sustainability Regression BootCI Model Summary Model 3 ß SE t p BootLLCI BootULCI R 2 F p Constant 0.165 0.24 0.68 0.49 -03094 0.6397 0.643 201.38 0.00 (X)→(Y) 0.707 0.08 8.73 0.00 0.5475 0.8666 (M)→(Y) 0.441 0.07 5.63 0.00 0.2869 0.5959 When Model 2 was examined, it was found that career adaptabilities in sports centres had a significant and positive effect on digital abilities (95% CI [0.6753; 0.8576], ß=0.766, t = 16.57, p = 0.00). This model was found to be significant, with 55% of the variation in the dependent variable explained by the independent variable (R² = 0.550, F = 274.58, p = 0.00). This result confirms H 2 hypothesis. When Model 3 was examined, it was observed that when digital adaptability (%95 CI [0.2869; 0.5959], ß=0.441, t = 5.63, p = 0.00) was included in the model, the impact of career adapt-abilities on career sustainability decreased (%95 CI [0.5475; 0.8666], ß=0.707, t = 8.73, p = 0.00) but remained significant. This situation indicates that digital skills (M) may have a partial mediation effect on the relationship between career adapt-abilities (X) and career sustainability (Y). It was determined that this model was significant and that 64.3% of the variance in the dependent variable was explained by the independent variables (R 2 = 0.643, F = 201.38, p = 0.00). While these results supported the H3 hypothesis, they also provided information regarding the validity of the H4 hypothesis. Table 7 Mediation effect analysis of the research via PROCESS macro. Carreer Adapt-Abilities (X) → Carreer Sustainability(Y) BootCI Effect BootSE t p BootLLCI BootULCI Total Effect 1.045 0.05 18.06 0.00 0.9313 1.1594 Direct Effect 0.707 0.08 8.73 0.00 0.5475 0.8666 Carreer Adapt-Abilities (X) → Digital Skills → Carreer Sustainability (Y) BootCI Mediation Model Effect BootSE BootLLCI BootULCI Indirect Effect 0.338 0.09 0.1255 0.3859 Partial Mediation When Table 7 was examined, it was determined that the indirect effect (ß=0.338), which was the difference between the total effect (ß=1.045) and the direct effect (ß=0.707), was significant (95% CI [0.1255; 0.3859]) and high (33.8%). These results indicate that digital skills play a partial mediating role in the effect of career adaptability on career sustainability in sports centres. Therefore, H4 hypothesis was confirmed. Additional Declarations No competing interests reported. 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Introduction","content":"\u003cp\u003eThe digitalization process that began in the 21st century has led to significant changes both economically and socially. These changes have caused a fundamental transformation in many areas, from the way business is conducted and processes are carried out to the ways in which people are employed (Garcia Romanos \u0026amp; Mart\u0026iacute;nez-Ros, 2023: 695). Furthermore, while creating new employment opportunities, this process has made continuous learning and digital skills a necessity for employees. Therefore, educational programs also need to change to increase digital literacy at the societal level (Nazarova et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). The sports industry is also keeping pace with this development, paving the way for the emergence of the digital sports industry. Therefore, digital skills emerge as an important factor in the development of the digital sports industry. Today, supporting digital sports development alongside educational improvements has become a necessity (Liu, Wei, She \u0026amp; Qiujing, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2024\u003c/span\u003e: 629). In this regard, the concept of career adaptation skills, which encompasses employees' ability to adapt to new situations and develop themselves, has gained importance. Individuals encounter new job roles and career transitions at different times in their careers. This situation has necessitated that individuals reorganize their goals, attitudes, personality, and job characteristics. Career Adapt-abilities emerge as an effective factor in enabling these necessary adjustments (Klehe et al., 2011: 218). Career adapt-ability is a critical skill that individuals must possess both in performing their duties and in making career decisions in their professional lives (Dufy, 2010: 420). Career adapt-ability is a psychosocial construct that refers to the resources individuals use to cope with expectations, transitions, and traumas they experience while performing their duties in their professional lives (Savickas, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1997\u003c/span\u003e: 255). These resources are dimensioned as anxiety, control, curiosity, and confidence (Savickas and Porfeli, 2012: 663). Due to its evolving and changing nature, the sports industry presents both opportunities and threats in terms of career. Therefore, the career adaptation skills of individuals within the sports industry are becoming increasingly important (Uyar, Uyar, \u0026amp; Erdeveciler, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). It is believed that the digital skills individuals will acquire by using their career adaptation skills to keep up with developing technology will be important for career sustainability. Career sustainability is critically important in terms of individuals' personal success, organizational performance, and the healthy functioning of labor markets (De Vos \u0026amp; Van der Heijden, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2017\u003c/span\u003e: 42). The digitalizing business world is transforming both the structure and processes of work; this situation also changes the competencies expected from human resources. Today, employees who stand out thanks to their digital skills are preferred more, and this directly affects career sustainability (Rogers, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2016\u003c/span\u003e: 14; Oğan and \u0026Ccedil;etiner, 2024: 120). Therefore, ensuring sustainability for both businesses and employees requires the development of career management processes that also encompass digital competencies. ( Oğan and \u0026Ccedil;etiner, 2024: 120 ). Sophie and Crispus (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2024\u003c/span\u003e: 412) mention in their work that digital skills are of vital importance in the employment of individuals in the developing and globalizing business world. They also found that high digital skills have a positive relationship with high employment rates and job satisfaction. Oğan and \u0026Ccedil;etiner (2024: 117) determined in their study that there is a positive relationship between digital skills and career sustainability among executive assistants. GhaviPanjeh, Hosseini Asgarabadi, and Piri (\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) emphasized that specialized skills, technology integration, job flexibility, continuous professional development, and the alignment of individual competencies with job requirements are critical for building a sustainable career path in sports organizations. While studies revealing the impact of career fit on digital competencies (Anwar, Djudiyah, Hasanati, \u0026amp; Sulaiman, 2023) and career sustainability (Rudolph, Lavigne, \u0026amp; Zacher, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) exist in the literature, no study modeling the mediating effect of digital competencies on the impact of career fit on career sustainability has been found. The absence of a study tailored to this model, particularly in the context of sports centers, creates a significant gap in the field. This research aims to fill this gap. Therefore, the purpose of this study is to examine the effect of career adapt-ability of employees in sports centers on career sustainability and to test the mediating role of digital skills in this relationship. In this way, it is aimed to contribute to the literature on career psychology, digital transformation, and sports facility management at both theoretical and practical levels. This study offers three unique contributions: Conceptual contribution: By integrating career adapt-ability and digital skills, it provides a new perspective on sustainable career understanding. Contextual contribution: Given the limited research conducted specifically on sports centers, this study provides a unique sectoral context. Applied contribution: It provides guidance to managers at sports centers on developing strategic human resources policies that support employee career development in the age of digital transformation. In conclusion, because we are in the age of digitalization, individuals' career sustainability depends not only on their psychosocial adaptation skills but also on their ability to effectively use digital skills. In this context, the model created by the research presents an important research topic both academically and in the field of application. The findings of the study are expected to shed light on the human resources dimension of digital transformation strategies in sports centers and to form the basis for practices that will support the long-term career success of employees.\u003c/p\u003e"},{"header":"2. Conceptual Framework and Hypothesis Development","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Career Adapt-Abilities\u003c/h2\u003e \u003cp\u003eBefore defining career adapt-ability, it is necessary to mention the career construction theory that forms the theoretical basis of this concept. Career construction theory (Savickas, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2005\u003c/span\u003e) defines individual development as a process guided by adaptation to a social environment to achieve environmental integration. This model focuses solely on the job role because it addresses social expectations for individuals to prepare for and participate in job roles and then cope with career transitions between professional positions (Savickas and Porfeli, 2012: 661). Career adapt-ability is a psychosocial construct that refers to the resources individuals use to cope with expectations, transitions, and traumas experienced in their professional lives (Savickas, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1997\u003c/span\u003e: 255). \"This construct consists of four dimensions: anxiety, control, curiosity, and confidence. These resources also form the self-regulation skill in career development (Savickas and Porfeli, 2012: 663). Chen, Fang, Liu, Pang, Wen, Chen, and Gu (2020) stated in their study that career adapt-abilities may benefit skills related to career sustainability, such as adapting to changes, balancing career roles, and maintaining skills while coping with career roles. Considering studies showing that career adapt-ability may affect career sustainability, the following hypothesis was formulated.\u003c/p\u003e \u003cp\u003eH1. The career adapt-abilities of sports center employees have a positive effect on their career sustainability.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. Career Sustainability\u003c/h2\u003e \u003cp\u003eCareer sustainability is a dynamic structure that involves protecting and developing the resources individuals possess and adapting to changes, ensuring the long-term continuity of the job roles they experience throughout their working lives in terms of health, meaning/happiness, and productivity. (Van der Heijden \u0026amp; De Vos, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; De Vos, Van der Heijden \u0026amp; Akkermans, 2020). The foundation of a sustainable career lies in the preservation and enhancement of individual resources (Hobfoll, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2001\u003c/span\u003e), the fulfillment of psychological needs (Ryan \u0026amp; Deci, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2000\u003c/span\u003e), and lifelong adaptation strategies (Baltes et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Carstensen, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). When examining individuals' career development processes, it is seen that they develop in a dynamic and unpredictable economic environment. Therefore, the importance of career sustainability has increased even more for individuals, institutions, and society (Lawrence et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Chin, Jawahar, \u0026amp; LI, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2021\u003c/span\u003e: 1). Today, with the rapid development of technology, economic fluctuations, and the impact of globalization, work environments have become even more dynamic; this situation has made it necessary for individuals, institutions, and states to place greater importance on career transformation and career adaptation processes (Aşkun, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2023\u003c/span\u003e: 533). In this context, it is considered that possessing digital skills and career adaptation to adapt to technological developments may have an impact on career sustainability.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3. Digital Skills\u003c/h2\u003e \u003cp\u003eToday, organizations in the workplace need employees who can generate knowledge, transmit this knowledge through digital channels, and possess high-level digital skills more than ever before. In the 21st century, employees' digital skills, such as information, communication, collaboration, critical thinking, creativity, and problem solving, have become a critical factor that directly affects their job performance, career development, and career sustainability (Van Laar, Van Deursen, Van Dijk \u0026amp; De Haan, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Audrin, Audrin \u0026amp; Salamin (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) identified eight dimensions related to digital skills in their work to dimension digital skills in the workplace and develop a validated scale. These dimensions are Technology use, Cybersecurity, Content management, Communication and collaboration, Critical inquiry, Responsibility, Well-being, and Identity and development. As in many sectors, the sports industry has also been affected by digital developments. Digitalization has brought a dynamic structure to the sports industry, causing change and development in all areas related to sports. In sports, digitalization has improved and increased the performance of sports stakeholders (Demir, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2023\u003c/span\u003e,). These changes have affected many areas such as training, competition management, interaction with fans, and performance analysis (Ak, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The era of digitalization has also begun in human resources management in sports, with core activities in this field moving to digital environments (Taştan, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The ability of those working in the sports industry to effectively use digital platforms, data analysis tools, and communication technologies is now considered a fundamental professional competency. (Ratten, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Therefore, it has become important for employees who will be employed in this field and those who are already employed to have digital skills in order to continue their careers. A review of the literature reveals that digital skills are associated with career sustainability (Bouwmans, Nguyen, and Lub, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2022\u003c/span\u003e, Oğan and \u0026Ccedil;etiner, 2024) and career adaptability skills (Omar, Romli, Azeem, and Zakaria, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2023\u003c/span\u003e, Denizli and Ta\u0026ccedil;kın, 2018), but it has been determined that this is not often seen in the field of sports. Furthermore, no study has been found that models the mediating role of digital skills in the effect of career adapt-abilities on career sustainability specifically in sports centers. Therefore, the following hypotheses have been formulated.\u003c/p\u003e \u003cp\u003eH2. The career adapt-abilities of sports center employees have a positive effect on their digital abilities.\u003c/p\u003e \u003cp\u003eH3. The digital skills of sports center employees have a positive effect on their career sustainability.\u003c/p\u003e \u003cp\u003eH4. Digital skills play a mediating role in the effect of career adapt-abilities on career sustainability among sports center employees.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003e \u003cb\u003eResearch Model\u003c/b\u003e \u003c/p\u003e \u003cp\u003eA model was designed using correlational analysis methods from quantitative research designs to determine the effect of the mediating role in the study.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eResearch Group\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe population for this study was defined as 400 personnel employed at a public owned sports centre in Kayseri province. The sample consisted of 226 personnel selected using simple random sampling. According to the Roasoft (2025) sample size calculation software, it was determined that the sample size representing this population should be at least 197 personnel with a 5% margin of error.\u003c/p\u003e \u003cp\u003e \u003cb\u003eData Collection Tools\u003c/b\u003e \u003c/p\u003e \u003cp\u003eA questionnaire consisting of four sections was used as the data collection tool in this research. The first section contained personal information form, the second section contained the \u0026ldquo;Career Adapt-ability Scale\u0026rdquo;, the third section contained the \u0026ldquo;Career Sustainability Scale\u0026rdquo;, and the last section contained the \u0026ldquo;Digital Skills Scale\u0026rdquo;.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePersonal Information Form\u003c/b\u003e \u003c/p\u003e \u003cp\u003ePersonal information was gathered through six questions regarding gender, age, marital status, education level, Position in the Institution, and years of work experience.\u003c/p\u003e \u003cp\u003e \u003cb\u003eCareer Adaptabilities Scale\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe Career Adaptabilities Scale, developed by Savickas and Profeli (2012) and adapted into Turkish by Kanten (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), consisted of 19 items. The scale had four dimensions: anxiety, control, curiosity, and confidence. The scale was a 5-point Likert type, with statements ranging from strongly agree to strongly disagree. The Cronbach's Alpha values for the scale were found to be 0.61 for the anxiety dimension, 0.77 for the control dimension, 0.79 for the curiosity dimension, and 0.81 for the confidence dimension. These values indicate that the scale can be used in scientific research in the field of social sciences.\u003c/p\u003e \u003cp\u003e \u003cb\u003eCareer Sustainability Scale\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe Career Sustainability Scale, developed by Chin, Jawahar and Li (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) and adapted into Turkish by Arar and \u0026Ccedil;etiner (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2023\u003c/span\u003e), consisted of 12 items and 2 subscales (professionalism and adaptation, complementarity). The scale was a 6-point Likert type, with statements ranging from 1. Strongly agree to 6. Strongly disagree. The Cronbach's Alpha value for the professionalism and adaptation dimension of the scale was 0.94, while that for the complementarity sub-dimension was 0.92. Based on these results, it was decided that the scale could be used in the research.\u003c/p\u003e \u003cp\u003e \u003cb\u003eData Collection Tools\u003c/b\u003e \u003c/p\u003e \u003cp\u003eA questionnaire consisting of four sections was used as the data collection tool in this research. The first section contained personal information form, the second section contained the \u0026ldquo;Career Adapt-ability Scale\u0026rdquo;, the third section contained the \u0026ldquo;Career Sustainability Scale\u0026rdquo;, and the last section contained the \u0026ldquo;Digital Skills Scale\u0026rdquo;.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePersonal Information Form\u003c/b\u003e \u003c/p\u003e \u003cp\u003ePersonal information was gathered through six questions regarding gender, age, marital status, education level, Position in the Institution, and years of work experience.\u003c/p\u003e \u003cp\u003e \u003cb\u003eCareer Adaptabilities Scale\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe Career Adaptabilities Scale, developed by Savickas and Profeli (2012) and adapted into Turkish by Kanten (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), consisted of 19 items. The scale had four dimensions: anxiety, control, curiosity, and confidence. The scale was a 5-point Likert type, with statements ranging from strongly agree to strongly disagree. The Cronbach's Alpha values for the scale were found to be 0.61 for the anxiety dimension, 0.77 for the control dimension, 0.79 for the curiosity dimension, and 0.81 for the confidence dimension. These values indicate that the scale can be used in scientific research in the field of social sciences.\u003c/p\u003e \u003cp\u003e \u003cb\u003eCareer Sustainability Scale\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe Career Sustainability Scale, developed by Chin, Jawahar and Li (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) and adapted into Turkish by Arar and \u0026Ccedil;etiner (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2023\u003c/span\u003e), consisted of 12 items and 2 subscales (professionalism and adaptation, complementarity). The scale was a 6-point Likert type, with statements ranging from 1. Strongly agree to 6. Strongly disagree. The Cronbach's Alpha value for the professionalism and adaptation dimension of the scale was 0.94, while that for the complementarity sub-dimension was 0.92. Based on these results, it was decided that the scale could be used in the research.\u003c/p\u003e \u003cp\u003e \u003cb\u003eDigital Skills Scale\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe \"Digital Skills Scale,\" developed by Oğan and \u0026Ccedil;etiner, consisted of 16 items and four sub-dimensions: digital business intelligence, digital flexibility, digital agility, and digital collaboration. The scale was a 5-point Likert-type scale, ranging from 1 (Never) to 5 (Always). The Cronbach\u0026rsquo;s Alpha coefficient for the scale was found to be 0.88. This result indicated that the scale was suitable for use in scientific studies.\u003c/p\u003e \u003cp\u003e \u003cb\u003eStatistical Analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eSPSS 26 and AMOS software were utilized for the analysis of the data obtained within the scope of the study. The normality distribution of the variables was analyzed by examining the skewness and kurtosis values. It was determined that these values were between \u0026plusmn;\u0026thinsp;1.5; therefore, the data exhibited a normal distribution. Tabachnick and Fidell (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2013\u003c/span\u003e) stated that data would display a normal distribution if skewness and kurtosis values fell between \u0026minus;\u0026thinsp;1.5 and +\u0026thinsp;1.5. Additionally, it was observed that there was no multicollinearity problem (VIF\u0026thinsp;\u0026lt;\u0026thinsp;10). The fact that VIF values were below 10 served as an indicator that there was no multicollinearity issue. Descriptive statistics (frequency and percentage) were utilized for the analysis of personal information questions. Regarding the research model, confirmatory factor analyses (CFA) of the variables were performed first. Subsequently, descriptive statistics such as mean and standard deviation were calculated, and Pearson correlation and Cronbach\u0026rsquo;s Alpha tests were applied to these variables. To determine the mediating role in the research model, the Hayes Process Macro was employed. Version 4.2 of this test, which was developed by Hayes (2018) as a plug-in for the SPSS software, was used with Model 4, as it was appropriate for the research design. Coefficients were calculated using the bootstrapping technique with 5,000 resamples at a 95% confidence interval (ensuring that the BootLLCI lower limit and BootULCI upper limit did not include the value of zero).\u003c/p\u003e "},{"header":"4. Discussion","content":"\u003cp\u003eDiscussions The test of the first hypothesis of the study found that career adapt-abilities have a positive effect on career sustainability among sports center employees. In a meta-analysis conducted by Rudolph, Lavigne, and Zacher (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2017\u003c/span\u003e), it was observed that career adapt-abilities are positively related to adjustment responses associated with career sustainability, such as career identity, career satisfaction, organizational commitment, employability, promotion potential, and self-reported job performance. De Vos and Van Der Heijden (\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) define career sustainability as an individual's ability to maintain long-term employability. In this context, it can be said that career adapt-abilities are an important personal resource that increases the career sustainability of individuals working in sports organizations. Furthermore, Hall (\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) has demonstrated that adapt-abilities supports individuals in maintaining their validity in the changing conditions of modern working life. In this regard, it can be said that career adapt-abilities are an important personal resource that increases the career sustainability of individuals working in sports organizations. Similarly, Hartman, Fuqua, and Jenkins (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e1988\u003c/span\u003e) stated that individuals with a high internal locus of control have more sustainable careers, while Haenggli and Hirschi (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) revealed that career adapt-abilities are a decisive factor in career success. However, there are also examples in the literature where the relationship between career adapt-abilities and career sustainability is not consistent across studies. For example, Ashton and Green (\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e1996\u003c/span\u003e) reported that career adapt-abilities have a limited effect on employment sustainability in certain sectors. Similarly, Grubb and Lazerson (2005) indicated that educational level is a factor that strengthens this relationship, emphasizing that the effect of career adapt-abilities alone on sustainability may vary contextually. Therefore, the current findings are consistent with the general trend in the literature but also indicate that some context-specific differences may emerge.\u003c/p\u003e \u003cp\u003eThese results in the literature support the first hypothesis of the study.\u003c/p\u003e \u003cp\u003eTesting the second hypothesis of the study revealed that the career adapt-abilities of sports center employees have a positive effect on their digital abilities. Today's societies, organizations, and jobs are undergoing a process of digitalization that is transforming them. Individuals who make up society generally focus on digital competencies in order to adapt to the technological revolution, increase their competitiveness and career skills, and reduce social exclusion. Even jobs where digital skills are not fundamental elements change significantly when digital objects and processes are integrated. This change forces employees and professionals to perform traditional tasks in very different ways (Piero and Martinez, 2022). Anwar, Djudiyah, Hasanati, and Sulaiman (2023) demonstrated through their experimental research that equipping bachelor's degree graduates with academic digital literacy skills has a positive effect on their career adaptability. Omar, Romli, Azeem, and Zakaria (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) investigated the relationship between career adaptability skills and employability in their study and found a positive relationship between career adaptability skills and the sub-dimension of technology use and development in employability. Denizli and Ta\u0026ccedil;kın (2018) also identified a positive relationship between attitudes toward information and communication technologies and career adapt-abilities. These findings show that career adaptabilities is an important personal capacity that supports the development of digital skills. On the other hand, some studies have revealed that the increase in digital skills does not necessarily have a positive effect on career adaptabilities, and that factors such as individual motivation, educational opportunities, and professional support are also decisive. For example, van Laar et al. (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) stated that factors such as education and organizational support play a mediating role in the relationship between digital competence and professional adjustment. This result shows that the effect of digital skills on career adaptabilities can be strengthened by contextual factors.\u003c/p\u003e \u003cp\u003eThese evaluations of the literature support the result of the study's second hypothesis.\u003c/p\u003e \u003cp\u003eThe study found that the digital skills of sports organization employees have a positive impact on their career sustainability when testing the third hypothesis. In their study on human resource management and the development of digital skills to enable organizations to achieve economic sustainability, Zervas and Stiakakis (2024) stated that by developing their digital skills, employees can exist in the business world, advance, and improve themselves. In a meta-analysis conducted by Rudolph, Lavigne, and Zacher (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2017\u003c/span\u003e), it was observed that career adapt-abilities are positively related to adjustment responses associated with career sustainability, such as career identity, career satisfaction, and employability. Similarly, De Vos and Van der Heijden (\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) define career sustainability as an individual's ability to maintain long-term employability. In this context, it can be said that career adaptabilities are an important personal resource that increases the career sustainability of individuals working in sports organizations. Furthermore, Hall (\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) revealed that career adaptabilities supports individuals in maintaining their validity in the changing conditions of modern working life. This finding shows that developing digital skills in employees increases career sustainability. Duică, Florea, Duică, and Tănăsescu (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) emphasized the importance of digital skills for sustainable organizations in the new digital world. They stated that individuals who specialize in this way can develop their skills, minimize risks, increase the likelihood of making the right decisions, and improve their performance. Based on these results, it can be said that developing digital skills is important for organizational and career sustainability in sports organizations. Bouwmans, Nguyen, and Lub (\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) conducted a literature review and stated that developing digital skills is important for sustainable employment from the perspective of employees. However, while some studies find this relationship strong in every study, different results are also found in the literature. For example, Caroline et al. (\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) emphasize that the relationship between digital skills and career outcomes is sensitive to contextual factors in the literature. In this regard, systematic literature reviews reveal that the relationship between digital literacy and skills and employability and innovative work behavior can vary according to educational level, organizational context, and sector characteristics. Furthermore, Schwab (2016) noted that the impact of digital skills is more closely related to professional agility and learning culture. Oğan and \u0026Ccedil;etiner (2024) found a positive relationship between the digital skills of executive assistants in the workplace and their career sustainability. In his review study, \u0026Ccedil;ınar (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) stated that digitalization and digital skills play an important role in the future, transformation, and sustainability of the sports industry. These findings in the literature support the third hypothesis of the study.\u003c/p\u003e \u003cp\u003eAnalyses related to the final hypothesis of the study reveal that digital skills play a partial mediating role in the effect of career adaptabilities on career sustainability among sports organization employees. The fact that no study in the literature addresses these three variables within the same model strengthens the originality of the research. Therefore, the discussion section is structured in light of studies examining similar mediating relationships, even if they do not directly correspond to the model. Şen and Torlak (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) found that digitalization plays a mediating role in the relationship between organizational culture and organizational agility. Sarı and Yahya (2024) observed a strong mediating effect of digitalization on the impact of a company's competitive strategy on its performance. Uğur (2024) found that digital transformation plays a mediating role between human-centered design approaches and business model innovation. In contrast, some studies have found the mediating role of digital skills on career development to be limited. For example, Kane and colleagues (\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) stated that the effect of digital competencies on individual and organizational outcomes largely depends on contextual factors such as organizational culture, learning opportunities, and managerial support. Such studies show that the mediating effect of digital competencies is shaped not only by itself but also by the organizational context in which it exists. These studies indirectly inform our work regarding the use of different variables to examine the mediating role of digitalization. Schweitzer, Lyons, and Smith (2023) argue that career adaptabilities, a dynamic process in achieving future career goals, enhances career sustainability. While Anwar et al. (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) emphasize the importance of acquiring digital skills in the career adaptabilities of bachelor's degree graduates, Zhang and Chin (2024) reveal in their study that innovative work behaviors have a positive relationship with all dimensions of career sustainability in terms of digital skill acquisition. These three studies provide evidence that could support the mediating relationship presented in our model.\u003c/p\u003e \u003cp\u003eIn conclusion, the findings of this study clearly demonstrate that digital skills play a partial mediating role in the effect of career adapt-abilities on career sustainability in sports centers. It is recommended that measures be taken to develop the career adapt-abilities and digital skills of personnel employed in sports centers for the construction of a sustainable career. Furthermore, it is recommended that future studies include the sub-dimensions of the variables in the model and test it in different sports organizations. Academically, conducting different studies using a larger sample size and including the sub-dimensions of the variables in the model will contribute more to this field.\u003c/p\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eIn conclusion, the findings of this study clearly demonstrate that digital skills play a partial mediating role in the effect of career adapt-abilities on career sustainability in sports centers. It is recommended that measures be taken to develop the career adapt-abilities and digital skills of personnel employed in sports centers for the construction of a sustainable career. Furthermore, it is recommended that future studies include the sub-dimensions of the variables in the model and test it in different sports organizations. Academically, conducting different studies using a larger sample size and including the sub-dimensions of the variables in the model will contribute more to this field.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest / Competing interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted in accordance with ethical standards. Ethical approval was obtained from the relevant institutional ethics committee, and informed consent was obtained from all participants prior to data collection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMaterials availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCode availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors contributed equally to the conception and design of the study, data collection, analysis, and interpretation of the results. All authors read and approved of the final manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eKanten S. Kariyer Uyum Yetenekleri \u0026Ouml;l\u0026ccedil;eği: ge\u0026ccedil;erlilik ve g\u0026uuml;venirlilik \u0026ccedil;alışması. S\u0026uuml;leyman Demirel \u0026Uuml;niversitesi Sosyal Bilimler Enstit\u0026uuml;s\u0026uuml; Dergisi. 2012;2(12):191\u0026ndash;205.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSavıckas ML, ve Porfeli EJ. The Career Adapt-Abilities Scale: Construction, reliability, and measurement equivalence across 13 countries. J Vocat Behav. 2012;80:661\u0026ndash;73.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChin T, Jawahar IM, ve Li G. Development and validation of a career sustainability scale. 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Digital skills at work \u0026ndash; Conceptual development and empirical validation of a measurement scale. Technol Forecast Soc Chang. 2024;202:1\u0026ndash;13. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2024.123279\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2024.123279\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDemir A. (2023) Sporda dijital teknoloji kullanımı. H. Kula, editor, Sporda inovasyon ve yesil nesil teknolojiler, Efe Akademi Yayınlar\u0026amp;#305.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAk MO. Spor y\u0026ouml;netimi a\u0026ccedil;ısından teknolojinin spora entegresi cybathlon \u0026ouml;rneği. Pearson J. 2021;6(16):413\u0026ndash;27.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTaştan HŞ. (2021). Spor y\u0026ouml;netiminde dijitalleşme. İ. Erdoğan Tarak\u0026ccedil;ı ve B. G\u0026ouml;ktaş, editor, Dijital gelecek dijital d\u0026ouml;n\u0026uuml;ş\u0026uuml;m, Efe Akademi Yayınlar\u0026amp;#305.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRatten V. Sports technology and ınnovation: assessing cultural and social factors. Palgrave Macmillan. 2019. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/978-3-319-75046-0\u003c/span\u003e\u003cspan address=\"10.1007/978-3-319-75046-0\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAnwar Z, Djudiyah D, Hasanati N, Sulaiman A. (2025). The Impact of Academic Digital Literacy on Career Adaptation Among Recent Undergraduate Graduates. AL-ISHLAH: Jurnal Pendidikan, 17(2), 3244\u0026ndash;3253.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBouwmans M, Nguyen TV, Lub X. (2022). Restructured Work and Employees: A Systematic Literature Review on Digital Transformation Skills for Sustainable Employment.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDe Vos A, Van der Heijden BI. Current thinking on contemporary careers: the key roles of sustainable HRM and sustainability of careers. Curr Opin Environ Sustain. 2017;28:41\u0026ndash;50.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGrubb WN, Lazerson M. The education gospel: The economic power of schooling. Harvard University Press; 2007.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHall DT. The protean career: A quarter-century journey. J Vocat Behav. 2004;65(1):1\u0026ndash;13.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAshton D, Green F. Education, training and the global economy. Cheltenham, UK, Brookfield, VT: E. Elgar; 1996.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSchwab K, Samans R. (2016, January). The future of jobs: Employment, skills and workforce strategy for the fourth industrial revolution. In World Economic Forum (pp. 1\u0026ndash;32).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCaroline A, Coun MJ, Gunawan A, Stoffers J. A systematic literature review on digital literacy, employability, and innovative work behavior: emphasizing the contextual approaches in HRM research. Front Psychol. 2025;15:1448555.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKane GC, Palmer D, Phillips AN, Kiron D, Buckley N. Strategy, not technology, drives digital transformation. MIT Sloan management review; 2015.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDistribution of Skewness, Kurtosis, and VIF Values for the Variables of the Study\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariables\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSkewness\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003es\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eKurtosis\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003es\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eVIF\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCareer Adapt-Abilities\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0,58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0,16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1,05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0,32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2,22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCareer Sustainability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0,99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0,16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1,03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0,32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2,22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDigital Skills\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0,47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0,16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0,05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0,32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2,22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"6\"\u003eWhen Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e was examined, it was observed that the skewness and kurtosis values of the variables under study were between +\u0026thinsp;1.5 and \u0026minus;\u0026thinsp;1.5, indicating that the data follow a normal distribution. Furthermore, the VIF values for all variables were 2.22, indicating that there was no multicollinearity problem (VIF\u0026thinsp;\u0026lt;\u0026thinsp;10).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"6\"\u003eWhen Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e was examined, it was determined that the majority of the participants consisted of individuals who were male (66.4%, n\u0026thinsp;=\u0026thinsp;150), 36 years of age and older (50.4%, n\u0026thinsp;=\u0026thinsp;114), and single (53.1%, n\u0026thinsp;=\u0026thinsp;120). Additionally, it was found that the majority had an education level of bachelor's degree and above (57.5%, n\u0026thinsp;=\u0026thinsp;130), held other positions (45.6%, n\u0026thinsp;=\u0026thinsp;103) within the institution, and had a tenure of 3 years and above (66.8%, n\u0026thinsp;=\u0026thinsp;151).\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDistribution of demographic variables\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eVariables\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ef\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eGender\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e33.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e150\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e66.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eAge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAged 35 and under\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e112\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e49.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAged 36 and older\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e114\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e50.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eMarital Status\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMarried\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e106\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e46.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSingle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e120\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e53.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eEducational Status\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUndergraduate degree and below\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e42.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBachelor's degree and above\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e130\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e57.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003ePosition in the Institution\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAdministrative Staff\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e22.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoach/Instructor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e32.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e103\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e45.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eYears of Work\u003c/p\u003e \u003cp\u003eExperience\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2 years and below\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e33.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 years and above\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e151\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e66.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eAs a result of the confirmatory factor analysis conducted in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, it was determined that the scales of career adapt-abilities, career sustainability, and digital abilities were valid in terms of application, as their goodness-of-fit values met the acceptance criteria.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e\u003cimg 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\" width=\"609\" height=\"344\"\u003e\u003c/p\u003e\u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eReliability values of the scales\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eScales\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eItems\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCronbach Alpha (a)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCareer Adapt-Abilities\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCareer Sustainability\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDigital Skills\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eWhen examining Model 1 in Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, it was found that career adaptabilities in sports centres had a significant and positive effect on career sustainability (95% CI [0.1042; 1.1594], \u0026szlig;=1.045, t\u0026thinsp;=\u0026thinsp;18.06, p\u0026thinsp;=\u0026thinsp;0.00). This model was found to be significant, with 59.3% of the variation in the dependent variable explained by the independent variable (R\u0026sup2; = 0.593, F\u0026thinsp;=\u0026thinsp;326.33, p\u0026thinsp;=\u0026thinsp;0.00). This result confirms H\u003csub\u003e1\u003c/sub\u003e hypothesis.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDescriptive statistics and correlation analyses\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003e1\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eVariables\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ex̄\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003esd\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eCareer Adapt-Abilities\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.17\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eCareer Sustainability\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.770**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e3\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eDigital Skills\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.742**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.722**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e**p\u0026thinsp;\u0026lt;\u0026thinsp;0.01\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003eWhen Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e5\u003c/span\u003e was examined, it was determined that the means of the variables, namely career adapt-abilities (x̄=4.17\u0026thinsp;\u0026plusmn;\u0026thinsp;0.58), career sustainability (x̄=4.95\u0026thinsp;\u0026plusmn;\u0026thinsp;0.78), and digital skills (x̄=4.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.60) showed a high trend. Furthermore, it was found that the relationships between the variables were significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) and positive.\"\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBootstrap regression analyses of the research via PROCESS macro.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"10\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"10\" nameend=\"c10\" namest=\"c1\"\u003e \u003cp\u003eThe Impact of Career Adapt-Ability Skills on Career Sustainability\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eRegression\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eBootCI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c10\" namest=\"c8\"\u003e \u003cp\u003eModel Summary\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModel 1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026szlig;\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSE\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eBootLLCI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eBootULCI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003ep\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.585\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.1042\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.0664\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.593\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e326.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e(X)\u0026rarr;(Y)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.045\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e18.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.9313\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.1594\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"10\" nameend=\"c10\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Impact of Career Adapt-Abilities on Digital Skills\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eRegression\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003e\u003cb\u003eBootCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c10\" namest=\"c8\"\u003e \u003cp\u003e\u003cb\u003eModel Summary\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eModel 2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e\u0026szlig;\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eSE\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003et\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003ep\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003eBootLLCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003eBootULCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eR\u003c/b\u003e\u003csup\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003eF\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003ep\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.951\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.87\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.5672\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.3364\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.550\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e274.58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e(X)\u0026rarr;(M)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.766\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e16.57\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.6753\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.8576\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"10\" nameend=\"c10\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Impact of Career Adapt-Abilities and Digital Skills on Career Sustainability\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eRegression\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003e\u003cb\u003eBootCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c10\" namest=\"c8\"\u003e \u003cp\u003e\u003cb\u003eModel Summary\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eModel 3\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e\u0026szlig;\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eSE\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003et\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003ep\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003eBootLLCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003eBootULCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eR\u003c/b\u003e\u003csup\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003eF\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003ep\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.165\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-03094\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.6397\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.643\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e201.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e(X)\u0026rarr;(Y)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.707\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8.73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.5475\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.8666\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e(M)\u0026rarr;(Y)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.441\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.2869\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.5959\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"10\"\u003eWhen Model 2 was examined, it was found that career adaptabilities in sports centres had a significant and positive effect on digital abilities (95% CI [0.6753; 0.8576], \u0026szlig;=0.766, t\u0026thinsp;=\u0026thinsp;16.57, p\u0026thinsp;=\u0026thinsp;0.00). This model was found to be significant, with 55% of the variation in the dependent variable explained by the independent variable (R\u0026sup2; = 0.550, F\u0026thinsp;=\u0026thinsp;274.58, p\u0026thinsp;=\u0026thinsp;0.00). This result confirms H\u003csub\u003e2\u003c/sub\u003e hypothesis.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"10\"\u003eWhen Model 3 was examined, it was observed that when digital adaptability (%95 CI [0.2869; 0.5959], \u0026szlig;=0.441, t\u0026thinsp;=\u0026thinsp;5.63, p\u0026thinsp;=\u0026thinsp;0.00) was included in the model, the impact of career adapt-abilities on career sustainability decreased (%95 CI [0.5475; 0.8666], \u0026szlig;=0.707, t\u0026thinsp;=\u0026thinsp;8.73, p\u0026thinsp;=\u0026thinsp;0.00) but remained significant. This situation indicates that digital skills (M) may have a partial mediation effect on the relationship between career adapt-abilities (X) and career sustainability (Y). It was determined that this model was significant and that 64.3% of the variance in the dependent variable was explained by the independent variables (R\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.643, F\u0026thinsp;=\u0026thinsp;201.38, p\u0026thinsp;=\u0026thinsp;0.00). While these results supported the H3 hypothesis, they also provided information regarding the validity of the H4 hypothesis.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMediation effect analysis of the research via PROCESS macro.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCarreer Adapt-Abilities (X) \u0026rarr;\u003c/p\u003e \u003cp\u003eCarreer Sustainability(Y)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eBootCI\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEffect\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBootSE\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eBootLLCI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eBootULCI\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal Effect\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.045\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e18.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.9313\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.1594\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDirect Effect\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.707\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8.73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.5475\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.8666\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eCarreer Adapt-Abilities (X) \u0026rarr; Digital Skills \u0026rarr; Carreer Sustainability (Y)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e\u003cb\u003eBootCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003e\u003cb\u003eMediation Model\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eEffect\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eBootSE\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eBootLLCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003eBootULCI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndirect Effect\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.338\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.1255\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.3859\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003ePartial Mediation\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003eWhen Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e was examined, it was determined that the indirect effect (\u0026szlig;=0.338), which was the difference between the total effect (\u0026szlig;=1.045) and the direct effect (\u0026szlig;=0.707), was significant (95% CI [0.1255; 0.3859]) and high (33.8%). These results indicate that digital skills play a partial mediating role in the effect of career adaptability on career sustainability in sports centres. Therefore, H4 hypothesis was confirmed.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Digital Skills, Sports Centers, Career Sustainability, Career Adapt-Abilities","lastPublishedDoi":"10.21203/rs.3.rs-9006672/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9006672/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study aimed to examine the impact of career adaptability on the career sustainability of personnel working in sports centers and to reveal the mediating role of digital skills in this relationship. The study employed the relational survey model, one of the quantitative research methods. The sample of the study consists of personnel working at a sports center located in the province of Kayseri. The data collection tool was a questionnaire comprising four sections. The first section includes questions regarding demographic information, the second section features the \"Career Adapt-Abilities Scale,\" the third section contains the \"Career Sustainability Scale,\" and the final section includes the \"Digital Skills Scale.\". The SPSS 26 and AMOS software were utilized for data analysis; following descriptive statistics, the Hayes Process Macro analysis was employed to examine the mediating role of digital skills in the effect of the independent variable on the dependent variable. The results of the research determined that the career adaptability of sports center employees has a significant and positive effect on career sustainability. Additionally, it was identified that career adaptability significantly increases digital skills, and digital skills, in turn, positively affect career sustainability. The findings of the Hayes Process analysis demonstrated that digital skills play a partial mediating role in the relationship between career adaptability and career sustainability. These results reveal that not only psychosocial adaptability skills, but also digital competencies are essential for strengthening the career sustainability of employees.\u003c/p\u003e","manuscriptTitle":"The Mediating Role of Digital Skills in the Impact of Career Adapt-Ability on Career Sustainability in Sports Centers","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-10 07:43:26","doi":"10.21203/rs.3.rs-9006672/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a6d6ce1d-58fe-43e3-b3d3-fb1ec53140aa","owner":[],"postedDate":"March 10th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-27T06:55:27+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-10 07:43:26","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9006672","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9006672","identity":"rs-9006672","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}