Role of ChatGPT and Skilled Workers for Business Sustainability: Leadership Motivation as the Moderator

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.

The Role of ChatGPT in Elevating Customer Experience and Efficiency in Automotive After-Sales Business Processes

“…The heightened operationalization of ChatGPT within organizations also generates a developmental direction in research, considering aspects such as employee engagement, leadership, process optimization, and process management. This development is evident in publications such as the one by Vrontis et al [57], highlighting the crucial role played by both ChatGPT and skilled workers in enhancing business sustainability. Additionally, Frederico [58] suggests that ChatGPT can serve as a significant tool supporting supply chain management.…”

ChatGPT és más nagy nyelvi modellek (LLM-ek) biztonsági kérdései, szervezeti és társadalmi hatásai

“…Ha ezek az adatok előítéletesek vagy nem reprezentatívak, az MI döntései is torzítottak lehetnek (Ofosu-Ampong et al 2023). Kockázat a túlzottan mechanikus és nem emberközpontú tanulási környezet kialakulása, ami csökkentheti a tanulás mélységét és/vagy minőségét (Vrontis et al 2023)…”

Charting the Course of AI in Business Sustainability: A Bibliometric Analysis

“…• Improve energy efficiency, reduce carbon emissions (Vrontis et al, 2023) • Increase the reliability of the recycling process and better waste management (Nañez Alonso et al, 2021) • Enhance performance and communication as a positive impact on the circular economy (Upadhyay et al, 2021) • Healthcare, by enhancing the use of robotic systems (Pee et al, 2019).…”

“…It's important to note that within organizations, sustainability entails the development of strategies and plans aimed at efficiently mitigating the environmental consequences arising from their operational activities and businesses must recognize that achieving sustainability calls for more than addressing environmental concerns; they also must safeguard the long-term wellbeing of society (Vrontis et al, 2023).…”