Generative Artificial Intelligence and Ethicality in Entrepreneurs’ Creativity

Abstract We explore the complex relationship between generative artificial intelligence (G-AI) and the ethical aspects of creative activities. Based on the dual concepts of attribution theory and entrepreneurs’ self-regulation, we examine how G-AI impacts entrepreneurs’ creativity, including unethical creativity, and those displaying traits linked to the ‘dark side’ of the human personality. Using data from India and Bangladesh, we test the core hypothesis that G-AI increases creativity within an entrepreneurial context. Contrary to prevailing narratives about G-AI’s ability to enhance human creativity, our findings show that G-AI’s direct influence on creativity is statistically insignificant. More importantly, our results highlight that G-AI use is positively related to unethical creativity—a form of innovation that breaches normative standards—especially among entrepreneurs with high levels of narcissistic and Machiavellian traits. Our study advances attribution theory and self-regulation by revealing how entrepreneurs’ internal conflicts, such as the tension between aspirational creativity and opportunistic self-interest, interact with their self-control to produce unethical creativity. We offer important insights into how G-AI can be employed responsibly and ethically in entrepreneurial venturing.

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Publication Details

Journal
Journal of Business Ethics
Published
2026-03-26
DOI
https://doi.org/10.1007/s10551-026-06301-z
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative Artificial Intelligence and Ethicality in Entrepreneurs’ Creativity

Boyka Simeonova, Nazha Gali, Md Imtiaz Mostafiz, Shekh Farhad Uddin Ahmed et al.
Journal of Business Ethics
Creativity in Education and Neuroscience
article

Generative Artificial Intelligence and Ethicality in Entrepreneurs’ Creativity

Boyka Simeonova, Nazha Gali, Md Imtiaz Mostafiz, Shekh Farhad Uddin Ahmed, Mathew Mat Hughes
article en

Abstract

Abstract We explore the complex relationship between generative artificial intelligence (G-AI) and the ethical aspects of creative activities. Based on the dual concepts of attribution theory and entrepreneurs’ self-regulation, we examine how G-AI impacts entrepreneurs’ creativity, including unethical creativity, and those displaying traits linked to the ‘dark side’ of the human personality. Using data from India and Bangladesh, we test the core hypothesis that G-AI increases creativity within an entrepreneurial context. Contrary to prevailing narratives about G-AI’s ability to enhance human creativity, our findings show that G-AI’s direct influence on creativity is statistically insignificant. More importantly, our results highlight that G-AI use is positively related to unethical creativity—a form of innovation that breaches normative standards—especially among entrepreneurs with high levels of narcissistic and Machiavellian traits. Our study advances attribution theory and self-regulation by revealing how entrepreneurs’ internal conflicts, such as the tension between aspirational creativity and opportunistic self-interest, interact with their self-control to produce unethical creativity. We offer important insights into how G-AI can be employed responsibly and ethically in entrepreneurial venturing.

Journal of Business Ethics
University of Leicester (GB), National University of Ireland, Maynooth (IE), International University of Business Agriculture and Technology (BD), University of Windsor (CA)
Decent work and economic growth
Openalex Percentile: Top 11%
Creativity in Education and Neuroscience
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