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Entrepreneurial cognition and artificial intelligence adoption – contingency role of innovation ecosystem resource mobilization and entrepreneurial bricolage

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Version 2 2025-09-04, 16:18
Version 1 2025-05-20, 08:49
journal contribution
posted on 2025-09-04, 16:18 authored by Md Imtiaz MostafizMd Imtiaz Mostafiz, Farhad Uddin Ahmed, Mohammad Faisal Ahammad, Puteh Noraihan A Rahman
<p dir="ltr">The integration of artificial intelligence (AI) is reshaping the mechanisms by which firms<br>operate. To better understand this integration, this study aims to answer how<br>entrepreneurs’ belief systems and mental frameworks shape their intention to AI adoption,<br>particularly within an ecosystem, where firms are characterized by bricolage. With a focus<br>on the Information and Communications Technology (ICT) ecosystem (i.e. a vanguard in<br>embracing AI), we propose a rhetoric theoretical framework of entrepreneurial cognition,<br>resource mobilization from the ecosystem, and bricolage. Grounded in the social cognitive<br>theory, we investigate 236 firms operating in the ICT sector in Bangladesh using structural<br>equation modelling. Key findings from our study evident the positive impact of<br>entrepreneurial cognition on firms’ inclination towards AI adoption. Intriguingly, this<br>relationship is further strengthened when entrepreneurial cognition is coupled with the<br>mobilization of resources within the ecosystem. In the context of an emerging economy like<br>Bangladesh, the principle of bricolage also plays a crucial role in overcoming resource<br>constraints through resourcefulness and creativity. The research concludes with<br>implications for policymakers and suggestions for future studies.</p>

History

Author affiliation

College of Business Marketing & Strategy

Version

  • VoR (Version of Record)

Published in

R&D Management

Publisher

Wiley

issn

0033-6807

eissn

1467-9310

Copyright date

2025

Available date

2025-05-20

Language

en

Deposited by

Mr Md Imtiaz Mostafiz

Deposit date

2025-05-18

Data Access Statement

The data used in this study are securely deposited at the Sheffield Hallam University repository and only accessible by Dr. Md Imtiaz Mostafiz (lead researcher). According to Sheffield Hallam University data policy, it will only be made available after 3 years from the research publication.