SECURE II: Unlocking the Potential of Artificial Intelligence for Entrepreneurial Success

Abstract

This study explores the potential of artificial intelligence (AI) in assisting novice entrepreneurs in evaluating the effectiveness of ex-ante measures of business model design and their impact on ex-post measures of performance. The study adopts a decision science approach to argue that entrepreneurs create business models by making choices based on what is valuable and possible rather than what is available. The Startup Evaluation Calculus with Research Evidence (SECURE I) framework has shown that the careful design of ex-ante measures can positively impact ex-post standards of firm performance. The study proposes a SECURE II framework integrating AI tools to improve the frameworks' predictive ability. By unlocking insights and patterns hidden in large volumes of data, AI can assist entrepreneurs in making informed decisions and becoming more responsive and agile to market needs. By unlocking patterns hidden in voluminous data, AI can assist entrepreneurs to predict Entrepreneurial Capability for making informed decisions and becoming more responsive and agile to market needs. The study's contributions include integrating Symbolic AI and Neural AI to aid entrepreneurial decision-making, enhancing the cognitive capacity of decision-making, and using an evaluation tool that incorporates automation and persuasiveness. The research relies on quantitative data and uses an experimental method to examine the effects of AI on entrepreneurial decision-making.