Summary: | 碩士 === 長榮大學 === 經營管理研究所 === 99 === Entrepreneurship has been an important topic of academic research for the past several decades. By examining the entrepreneurship process, researchers have identified a variety of factors that influence the members of society who engage in entrepreneurial activity and those who do not. For entrepreneurs to seize the right opportunities for new businesses, opportunity recognition is an important concept in research on entrepreneurship, and there is now a critical mass of literature to shed light on the concept. Many studies have addressed opportunity discovery and opportunity exploitation; however, very little research has focused on opportunity recognition and whether there are similarities or differences between the determinants of entrepreneurial opportunity recognition and national culture across countries. We analyzed Hofstede culture dimension, Global Entrepreneurship Monitor (GEM) and World Values Survey (WVS) data applied the artificial intelligence self-organizing map (SOM) approach to fill this research gap.
In this study, 17 countries that participated in both GEM and WVS from 2003 to 2007 were selected for analysis. Our research found that each of the factors studied in this analysis were influential in entrepreneurial opportunity recognition. Furthermore, the factors result in six specific patterns of entrepreneurs. We also examined the stability on the SOM plane of the six patterns of entrepreneurial opportunity recognition. The study reveals interesting patterns of entrepreneurial opportunity recognition in the context of global entrepreneurial activities.
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