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Modeling entrepreneurial decision-making process using concepts from fuzzy set theory

机译:使用模糊集理论中的概念对企业家决策过程进行建模

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Abstract Entrepreneurship and entrepreneurial culture are receiving an increased amount of attention in both academic research and practice. The different fields of study have focused on the analysis of the characteristics of potential entrepreneurs and the firm-creation process. In this paper, we develop and test an economic-psychological model of factors that influence individuals’ intentions to go into business. We introduce a new measure of entrepreneurial intention based on the logic fuzzy techniques. From a practical point of view, this theory offers a natural approach to the resolution of multidimensional and complex problems when the available information is sparse and/or of poor quality. As an illustration, the model is estimated using a data provided by the National Tunisian Global Entrepreneurship Monitor (GEM) 2010 Project, based on the analysis of a sample of 799 cases. A simulation study of the model suggests that entrepreneurial intention is related to a composite of some demographic, competencies, networks and perception factors. This is an important area of concern in entrepreneurship intention which improves our knowledge about the degree to which the individual holds a positive or negative personal valuation about being an entrepreneur. The modeling insights may also be valuable as input to the design of entrepreneurship curricula.
机译:摘要企业家精神和企业家文化在学术研究和实践中都受到越来越多的关注。不同的研究领域集中于对潜在企业家的特征和企业创造过程的分析。在本文中,我们开发并测试了影响个体经营意图的因素的经济心理模型。我们基于逻辑模糊技术介绍了一种新的创业意向测度。从实践的角度来看,当可用信息稀疏和/或质量较差时,该理论为解决多维和复杂问题提供了一种自然的方法。举例说明,该模型是使用国家突尼斯国家2010年全球创业监测计划(GEM)项目提供的数据,基于对799个案例的分析得出的。对模型的仿真研究表明,创业意向与某些人口,能力,网络和感知因素的综合有关。这是企业家意图中一个值得关注的重要领域,它提高了我们对个人对企业家的正面或负面个人评价的了解程度。建模见解作为创业课程设计的输入也可能是有价值的。

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