Statistical Implicative Analysis
Sofia Anastasiadou, Poulcheria A. Zirinoglou, Lambrini Seremeti, Andreas N. Masouras, Marcos Komodromos, Lazaros Anastasiadis · Advances in business strategy and competitive advantage book series · 2024
This chapter aims to introduce statistical implicative analysis (SIA), a groundbreaking statistical methodology that is transforming data analysis in the field of marketing. SIA is utilized to ascertain students' attitudes towards the use of artificial intelligence (AI) in entrepreneurship education. The study explores the future entrepreneurs' intentions to embrace AI and foster innovation within the realm of digital entrepreneurship. An extensive review of the literature and theoretical frameworks was conducted to assess the determinants and conceptual constructs influencing the utilization of AI in entrepreneurship. The proposed model was evaluated using responses from 523 participants. Statistical implicative analysis was employed to validate the hypotheses. The model's validation highlights that conceptual constructs such as performance expectancy of AI, entrepreneurial education, risk aversion, social support, business support, business climate, and perceived behavioral control have a significant impact on entrepreneurial intentions.