The Influence of Entrepreneurial Bricolage on Opportunity Recognition for New Ventures Based on Artificial Intelligence

Abstract

This study delves into the subtle relationships between entrepreneurial bricolage, the use of artificial intelligence (AI), entrepreneurial knowledge, and the identification of opportunities in the field of entrepreneurship. It fills information gaps about the impact of these elements on opportunity recognition while examining the mediating role of entrepreneurial expertise. The major goal of this study was to investigate how entrepreneurial bricolage and AI adoption influence opportunity recognition, with a particular emphasis on the mediating role of entrepreneurial knowledge. Furthermore, the study hoped to contribute empirical data that could improve our knowledge of how these aspects interact. A structured questionnaire was provided to 420 entrepreneurs as part of a quantitative study methodology to collect data. For data analysis, SPSS was used, which included descriptive statistics, correlation analysis, regression analysis, and mediation analysis. According to the findings, entrepreneurial knowledge serves as a bridge between entrepreneurial bricolage and opportunity recognition, as well as between AI utilization and opportunity recognition. As a result, the study presents empirical evidence demonstrating the importance of entrepreneurial bricolage, AI adoption, and entrepreneurial knowledge in improving opportunity recognition. These findings highlight the importance of these aspects and their interdependence in the context of entrepreneurship. This work has practical consequences for businesses, politicians, and researchers alike by shining light on the optimal allocation of resources, the adoption of AI, and the cultivation of knowledge to better opportunity recognition. Furthermore, it adds empirical data on the role of entrepreneurial knowledge as a mediator in the theoretical understanding of entrepreneurship and innovation.

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