Role of ChatGPT and Skilled Workers for Business Sustainability: Leadership Motivation as the Moderator
Demetris Vrontis,
Ranjan Chaudhuri () and
Sheshadri Chatterjee
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Demetris Vrontis: School of Business, University of Nicosia, Nicosia 1700, Cyprus
Ranjan Chaudhuri: Research Center, Léonard de Vinci Pôle Universitaire, La Défense, 92 916 Paris, France
Sheshadri Chatterjee: Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, West Bengal 721302, India
Sustainability, 2023, vol. 15, issue 16, 1-14
Abstract:
ChatGPT is an AI tool that was primarily developed by OpenAI with the support of its GPT-3.5 and GPT-4 platforms and large language models. ChatGPT has been fine-tuned with both supervised and reinforcement learning technology. Various types of organizations are interested in adopting applications supported by GPT-3.5 and GPT-4 platforms, but there is an acute shortage of trained workers in this field. Research is needed to investigate the role of this very new technology and skilled workers in maintaining business sustainability. Also, few studies have investigated the role of leadership motivation in accelerating business sustainability. Therefore, this study aims to examine the role of ChatGPT and skilled employees in business sustainability. It also investigates the moderating impact of leadership motivation on business sustainability. With the help of resource-based view (RBV) and the extant literature, a theoretical model was developed, which was then validated using the PLS-SEM technique on feedback from 209 respondents. The study finds that both ChatGPT and skilled workers have significant impact on improving business sustainability. The study also demonstrates that leadership motivation significantly impacts business sustainability.
Keywords: disruptive innovation; ChatGPT; sustainability; PLS-SEM; leadership motive; RBV (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:16:p:12196-:d:1213831
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