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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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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