Transformational Entrepreneurship and Digital Platforms: A Combination of ISM-MICMAC and Unsupervised Machine Learning Algorithms

نویسندگان

چکیده

For many years, entrepreneurs were considered the change agents of their societies. They use initiative and innovative minds to solve problems create value. In aftermath digital transformation era, a new group have emerged who are called transformational entrepreneurs. various platforms Surprisingly, despite importance, they not been sufficiently investigated. Therefore, this research scrutinizes elements affecting entrepreneurship in platforms. To do so, authors two-phase method. First, interpretive structural modeling (ISM) Matrices d’Impacts Croises Multiplication Appliqué Un Classement (MICMAC) used suggest model. ISM is qualitative method reach visualized hierarchical structure. Then, four unsupervised machine learning algorithms ensure accuracy proposed The findings reveal that leadership could mediate relationship between entrepreneurial mindset thinking transformation, interdisciplinary approaches, value creation logic, technology diffusion. GMM full type, however, has best among covariance types, with an 0.895. From practical point view, paper provides important insights for practitioners, entrepreneurs, public actors help them develop skills. results also serve as guideline companies regarding how manage consequences crisis such pandemic. provide significant insight higher education policymakers.

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ژورنال

عنوان ژورنال: Big data and cognitive computing

سال: 2023

ISSN: ['2504-2289']

DOI: https://doi.org/10.3390/bdcc7020118