What makes for digital entrepreneurs? The role of AI-related drivers for nascent digital start-up activities

Cong Doanh Duong

51 citations0/0 files storedEuropean Journal of Innovation Management

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Entrepreneurship Studies and Influences Digital Innovation in Industries Migration, Ethnicity, and Economy

Abstract

Purpose Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms (e.g. digital entrepreneurial opportunity exploration and exploitation), and how these individually, congruently, and incongruently trigger their behavioral responses (e.g. nascent digital start-up activities). Design/methodology/approach Utilizing a sample of 1326 MBA students in Vietnam with a stratified sampling approach, multiple linear regression and polynomial regression with response surface analysis were used to test hypotheses. Findings The findings reveal that ChatGPT adoption in entrepreneurship and perceived AI competencies have a positive and significant impact on individuals’ digital entrepreneurial opportunity exploration and exploitation, which in turn, positively affects nascent digital start-up activities. Moreover, the study also reports that digital entrepreneurial opportunity exploration and exploitation can be congruently combined with each other to trigger the effects of nascent digital start-up activities. Practical implications Some valuable recommendations based on the findings have been provided for practitioners and policymakers. Originality/value The study contributes to the academic landscape by validating the SOR model within the context of AI adoption and entrepreneurship. It emphasizes the sequential processes of stimulus, cognitive responses, and behavioral outcomes, shedding light on nuanced effects in the digital entrepreneurial landscape.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.2000The Promise of Entrepreneurship as a Field of Research 2016Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship 2023Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations 2021Understanding and managing the threat of common method bias: Detection, prevention and control 2010Polynomial Regression with Response Surface Analysis: A Powerful Approach for Examining Moderation and Overcoming Limitations of Difference Scores 2006Social sources of information in opportunity recognition: Effects of mentors, industry networks, and professional forums

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