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  • Open Access


    Women Entrepreneurship Index Prediction Model with Automated Statistical Analysis

    V. Saikumari*, V. Sunitha

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1797-1810, 2023, DOI:10.32604/iasc.2023.034038

    Abstract Recently, gender equality and women’s entrepreneurship have gained considerable attention in global economic development. Prior to the design of any policy interventions to increase women’s entrepreneurship, it is significant to comprehend the factors motivating women to become entrepreneurs. The non-understanding of the factors can result in the endurance of low living standards and the design of expensive and ineffectual policies. But female involvement in entrepreneurship becomes higher in developing economies compared to developed economies. Women Entrepreneurship Index (WEI) plays a vital role in determining the factors that enable the flourishment of high potential female entrepreneurs which enhances economic welfare and… More >

  • Open Access


    Modeling and Simulation of Entrepreneur Individual Based on Dynamic and Complex System Computing

    Xueling Nie1,∗, Xinlu Zou1, Dishi Zhu2

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 207-214, 2019, DOI:10.32604/csse.2019.34.207

    Abstract There are disadvantages such as lack of resources and experience in college students’ entrepreneurship and the current research belong to the investigation and research, lacking the prediction simulation model research. Based on the theory of individual learning and the theory of complex systems, this study analyzes the mechanism of college students’ entrepreneurial process through dynamic learning theory, establishes the model of college students’ entrepreneurial subject, studies the different learning styles of college students, and discusses the influence of environmental dynamics on college students’ chance recognition. Through simulation and practice analysis, it is concluded that college students’ entrepreneurship is the process… More >

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