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Data mining and analysis of part-time entrepreneurs from the perspective of entrepreneurial ability

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Abstract

Part-time entrepreneurship—the process of starting a business while retaining a ‘day job’ in an existing organization—can be considered an entry strategy into full-time entrepreneurship rather than a form of entrepreneurship in itself. With the goal of examining how the entrepreneurial ability relates to the transition from part-time to full-time entrepreneur, we integrate insights from utility maximization theory with logic from the resource capability theory, then test hypotheses through simulation analysis of mathematical models and the empirical analysis of questionnaire data. The key findings of the study emphasize that part-time entrepreneurs with higher Resource allocation ability are more likely to turn into full-time entrepreneurs, and the opportunity-recognition ability is not verified by this assumption. Besides, Entrepreneurial resource positively regulates the relationship between two types of entrepreneurial ability and the transformation intention.

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Authors and Affiliations

  1. Business School, Hohai University, Nanjing, 211100, China

    Jun Sun & Chen Yang

  2. Collaborative Innovation Center Between World Water Valley and Water Ecological Civilization, Nanjing, 211100, China

    Yongchun Huang & Chen Yang

  3. School of Business Administration, Nanjing Audit University, Nanjing, 211100, China

    Dejin Su

Authors
  1. Jun Sun
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  2. Yongchun Huang
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  3. Dejin Su
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  4. Chen Yang
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Correspondence to Yongchun Huang.

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Sun, J., Huang, Y., Su, D. et al. Data mining and analysis of part-time entrepreneurs from the perspective of entrepreneurial ability. Inf Syst E-Bus Manage 18, 455–484 (2020). https://doi.org/10.1007/s10257-019-00425-8

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