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Rohita Dwivedi

Researcher at Prin. L. N. Welingkar Institute of Management Development and Research

Publications -  10
Citations -  1143

Rohita Dwivedi is an academic researcher from Prin. L. N. Welingkar Institute of Management Development and Research. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 4, co-authored 5 publications receiving 371 citations.

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Artificial Intelligence (AI) : Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

TL;DR: This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
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The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation

TL;DR: This research employed cited reference search to systematically review studies that cited UTAUT2 originating article and mapped to Johns' context dimensions to identify various limitations of the existing technology adoption research and to provide multi-level framework for future researchers with libraries of context dimensions.
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Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

TL;DR: In this article , the authors bring together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing to identify questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research.
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Group behavior in social media: Antecedents of initial trust formation

TL;DR: The study finds that peers are likely to invest blind faith in the content shared on social media groups without subjecting it to verification, and identifies the threat of biased peers, who spread irresponsible content with predetermined motives to influence members of certain socialMedia groups.