EXPLORING THE IMPACT OF AI INTEGRATION IN BUSINESS INCUBATORS AND ACCELERATORS ON ENTREPRENEURSHIP EDUCATION AND STARTUP SUCCESS

Akunama Idiseimokumo Akubos (PhD), Dr Ebimieowei Barakabo

Abstract


This study investigated the impact of artificial intelligence (AI) integration in business incubators and accelerators on entrepreneurship education and startup success. The study aims to assess the effectiveness of AI-driven support systems, examine the influence of AI on startup selection and evaluation, explore the impact of AI technologies on startup growth and sustainability, and investigate the ethical and social implications of AI adoption in entrepreneurship education. A descriptive survey design was adopted for the study. Three research questions were raised to guide the study. The population of the study was all undergraduates of Business Education in tertiary institutions in Bayelsa State. A sample of 240 respondents drawn from the Department of Business Education in the 3 tertiary institutions was used for the study. The instrument for data collection was a structured questionnaire styled as an “AI-Driven Support System Questionnaire” developed by the researcher and validated by experts. The reliability analysis was done using Cronbach Alpha Formula, which yielded a value of 0.89. The research questions were answered using mean and standard deviation. The findings revealed that integrating AI technologies into entrepreneurship education programs within business incubators and accelerators can foster innovation, promoting equitable access to entrepreneurial opportunities, and driving economic growth.

Keywords: Artificial Intelligence (AI), Integration, Business Incubators, Accelerators, Entrepreneurship Education, Startup Success


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