Evaluating the Effectiveness of Employee Training Programs on Performance and Job Satisfaction: A Study of the Indian IT Industry

Evaluating the Effectiveness of Employee Training Programs on Performance and Job Satisfaction: A Study of the Indian IT Industry | 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 Evaluating the Effectiveness of Employee Training Programs on Performance and Job Satisfaction: A Study of the Indian IT Industry SVB Subrahmanyeswara Rao, K Srinivas, D Praveenadevi, B G K Murthy, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9416529/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 The Indian information technology (IT) sector, a US $ 283 billion industry that employs more than 5.4 million people, spends much of its money on training and development of their employees. However, few thorough qualitative evaluations of how well training programs work exist. This study fills that gap by examining how structured training programs affect job satisfaction and performance among three IT companies in India. A multiple case study design was utilised, which was based on Kirkpatrick's four-level evaluation model, Baldwin and Ford's training model, and Bandura's social cognitive theory. Semistructured in-depth interviews were administered to 27 participants, including trainees, line managers, and human resource professionals, selected purposefully from Tier-1 and Tier-2 IT companies based in Bangalore and Hyderabad. We used the Gioia method to analyse the data, which gave us first-order concepts, second-order themes, and aggregate dimensions. The results reveal four main areas: (1) training design alignment, (2) transfer climate and managerial support, (3) perceived performance enhancement, and (4) intrinsic satisfaction and retention intention. Quantitative indicators that back up qualitative stories show that training participants reported a 22.4% increase in how quickly they could finish tasks and a 1.7-point increase in their overall job satisfaction scores (on a 5-point scale) after the training. The study gives the Indian IT context an inductively derived Contextual Training Effectiveness Framework (CTEF), provides L&D professionals with useful suggestions, and highlights ways for future research to be performed over time and across sectors. Management Effectiveness of Employee Training Job Satisfaction Employee Performance Indian IT Industry Kirkpatrick Model Transfer of Training Qualitative Case Study Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9416529","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":623037539,"identity":"df1b081a-ea6b-45f9-8340-e3e0d29daed7","order_by":0,"name":"SVB Subrahmanyeswara 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