Insights into ChatGPT adoption (or resistance) in research practices: The behavioral reasoning perspective

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2025-03-09 DOI:10.1016/j.techfore.2025.124047

Hafiz Muhammad Usman Khizar , Aqsa Ashraf , Jingbo Yuan , Mohammed Al-Waqfi

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引用次数: 0

Abstract

The widespread and rapidly increasing usage of ChatGPT in education and research has attracted a considerable attention and controversies. Although its application has several benefits, various potential negative impacts and risks exist. To this end, drawing on the insights from the Behavioral Reasoning Theory (BRT), this study aims to investigate the factors that influence ChatGPT's adoption (or resistance) in research practices. We employed an exploratory qualitative research design and conducted semi-structured interviews with academic researchers to identify the reasons for and against the use of ChatGPT. The interview participants were purposefully selected management researchers with appropriate knowledge and experience of ChatGPT, who supervise research students and are actively publishing their research. We delineated themes and subthemes that emerged from the interviews to provide a more comprehensive understanding of the factors that influence the adoption (or resistance) of ChatGPT. This study contributes to the literature by extending the application of BRT in academic research and highlight the reasons for (and against) the adoption of ChatGPT among academic researchers. Moreover, these findings inform policy and practice to develop appropriate strategies for promoting ethical and responsible AI adoption.

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在研究实践中对ChatGPT采用（或抵制）的洞察：行为推理的观点

ChatGPT在教育和研究中的广泛和快速增长的使用引起了相当大的关注和争议。虽然它的应用有很多好处，但也存在各种潜在的负面影响和风险。为此，借鉴行为推理理论（BRT）的见解，本研究旨在探讨在研究实践中影响ChatGPT采用（或抵制）的因素。我们采用了探索性定性研究设计，并与学术研究人员进行了半结构化访谈，以确定使用ChatGPT的原因和反对原因。访谈的参与者是有目的地选择的具有ChatGPT适当知识和经验的管理研究人员，他们监督研究生并积极发表他们的研究。我们描述了访谈中出现的主题和子主题，以提供对影响ChatGPT采用（或抵制）的因素的更全面的理解。本研究通过扩展BRT在学术研究中的应用，并突出学术研究人员采用ChatGPT的原因，为文献做出贡献。此外，这些发现为政策和实践提供了信息，以制定适当的战略，促进合乎道德和负责任的人工智能采用。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

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