Artificial Intelligence Use in Collaborative Network Processes

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Abstract The paper seeks to outline the impact of artificial intelligence (AI) on collaborative networks (CNs) by thoroughly examining the current literature. Given the growth of AI and its limited exploration in many business strategies, especially when collaboration among networked partners is established, this paper focuses on defining the research lines and AI application in CN processes by advancing some relevant ideas about how AI can improve networks’ resilience and antifragility. It discusses research on the integration of AI in CN from the following perspectives: (i) the collaborative processes addressed, (ii) the level of decision-making, (iii) the partners involved in the collaboration; (iv) the technologies that are jointly used with AI to support CN processes; (v) the programming languages implemented to develop AI algorithms; (vi) the sectors in which it AI is mainly implemented, and (vi) the potentialities of IA in CN in an increasingly turbulent and disruptive business world. The literature review has provided a global comprehension of the interplay between CN processes and AI-driven advancements, providing a response about the technologies that can merge with AI to support CN processes. The results derived from the literature analysis have allowed the establishment of a conceptual framework for AI use in CNs and outline future research directions in this field of study.
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Artificial Intelligence Use in Collaborative Network Processes | 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 Artificial Intelligence Use in Collaborative Network Processes Beatriz Andres, David Fernandez-Garcia, Pala Urze, Emilia Araujo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4106721/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 paper seeks to outline the impact of artificial intelligence (AI) on collaborative networks (CNs) by thoroughly examining the current literature. Given the growth of AI and its limited exploration in many business strategies, especially when collaboration among networked partners is established, this paper focuses on defining the research lines and AI application in CN processes by advancing some relevant ideas about how AI can improve networks’ resilience and antifragility. It discusses research on the integration of AI in CN from the following perspectives: (i) the collaborative processes addressed, (ii) the level of decision-making, (iii) the partners involved in the collaboration; (iv) the technologies that are jointly used with AI to support CN processes; (v) the programming languages implemented to develop AI algorithms; (vi) the sectors in which it AI is mainly implemented, and (vi) the potentialities of IA in CN in an increasingly turbulent and disruptive business world. The literature review has provided a global comprehension of the interplay between CN processes and AI-driven advancements, providing a response about the technologies that can merge with AI to support CN processes. The results derived from the literature analysis have allowed the establishment of a conceptual framework for AI use in CNs and outline future research directions in this field of study. artificial intelligence collaborative processes collaborative networks digital transformation resilience Full Text Additional Declarations No competing interests reported. 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. 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