| Title |
Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption / |
| Authors |
Kumar, Aman ; Shankar, Amit ; Hollebeek, Linda Desiree ; Behl, Abhishek ; Lim, Weng Marc |
| DOI |
10.1016/j.jbusres.2024.115160 |
| Full Text |
|
| Is Part of |
Journal of business research.. New York : Elsevier. 2025, vol. 189, art. no. 115160, p. [1-11].. ISSN 0148-2963 |
| Keywords [eng] |
artificial intelligence ; generative artificial intelligence ; generative AI ; GenAI ; adoption ; behavioral reasoning theory ; mixed methods |
| Abstract [eng] |
This study examines key reasons (for and against) that influence business-to-business (B2B) managers’ intention to adopt generative artificial intelligence (GenAI). We also investigate how GenAI adoption influences firm performance, along with the moderating effect of ethical leadership. Study 1 undertakes a series of in-depth interviews, yielding a set of hypotheses that are tested in Study 2. A total of 277 responses was collected from respondents in the USA, the UK, Canada, India, Australia, Malaysia, and Japan to test the proposed model using structural equation modeling. The findings highlight that need for uniqueness, information completeness, convenience, and deceptiveness significantly impact GenAI adoption. The results also highlight that GenAI adoption boosts firm performance. Finally, ethical leadership was found to moderate the effect of GenAI adoption on firm performance. This study enriches the GenAI, technology adoption, and behavioral reasoning theory literatures while also providing pertinent insights for firms intending to adopt GenAI. |
| Published |
New York : Elsevier |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
