Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/338014 
Year of Publication: 
2025
Citation: 
[Journal:] Digital Business [ISSN:] 2666-9544 [Volume:] 5 [Issue:] 2 [Article No.:] 100142 [Year:] 2025 [Pages:] 1-12
Publisher: 
Elsevier, Amsterdam
Abstract: 
Drawing on an integrated framework of the Entrepreneurial Event Model (EEM) and the Stimulus-Organism-Response (SOR) theory, this study investigates how AI-driven stimuli-specifically ChatGPT adoption and perceived AI competencies-influence individuals' cognitive perceptions (perceived feasibility and perceived desirability) and, in turn, their intentions to engage in digital social entrepreneurship. Employing a stratified sample of 986 students in Vietnam, we applied multiple linear regression and response surface analysis to test the proposed hypotheses. Findings reveal that both ChatGPT adoption and perceived AI competencies positively impact perceived feasibility and desirability, which independently and interactively drive intentions toward digital social entrepreneurship. Moreover, the congruence and imbalance between feasibility and desirability significantly shape entrepreneurial intentions. This research contributes by advancing an integrated EEM-SOR framework, offering new insights into how cognitive mechanisms operate in AI-driven digital social entrepreneurship. Practical recommendations are proposed for social entrepreneurs, educators, and policymakers seeking to foster AI-enabled social ventures.
Subjects: 
ChatGPT adoption in entrepreneurship
Intention toward digital social entrepreneurship
Perceived AI competencies
Perceived desirability
Perceived feasibility
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article
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