Fostering responsible AI adoption in startups through entrepreneurial orientation: A sustainable approach

Safiya Mukhtar Alshibani, Diana Korayim, Ankit Mehrotra and Vaishali Agarwal

Technological Forecasting and Social Change, 2025, vol. 219, issue C

Abstract: In the dynamic and fluid business landscape, startups face the daunting task of maintaining their position and navigating the path of growth. Responsible AI (RAI) is technological support that promises to be a differentiator and propeller for startups. The study employed grounded theory method within a qualitative framework to analyze the themes from cross-cultural data. These themes aligned with the Entrepreneurial Orientation theory and the Responsible Innovation framework. The retrieved opinions were then divided into five sub-themes: innovativeness and reflexivity, proactiveness and anticipation, risk-taking and reflexivity, autonomy and inclusion, and competitive aggressiveness and responsiveness, which laid the foundation for understanding the drivers and adopters of RAI in startups. This research contributes to the literature on the emerging Responsible AI domain in businesses, particularly startups, by elaborating on the factors that would lead to the adoption of Responsible AI for business sustainability.

Keywords: Responsible AI; Startups; Entrepreneurial orientation theory; Gioia method; Grounded theory; Qualitative study (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:219:y:2025:i:c:s0040162525003038

DOI: 10.1016/j.techfore.2025.124272

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