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Fostering path of ecological sustainable entrepreneurship within big data network system

Author

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  • Juying Zeng

    (Zhejiang University of Finance and Economics)

Abstract

Traditional growth modes has encountered with frustrating social and environmental problems, while the intervention and governance of controlling or alleviating the negative externalities of enterprises do not bring about satisfying results since the traditional entrepreneurs do not take social, environmental and sustainable responsibilities as their imperative responsibility. Furthermore, the previous literatures concerning entrepreneurship does not consider entrepreneurship with the advantage of big data internet system. In this sense, the research establishes a theoretically framework to understand the fostering path of ecological sustainable entrepreneurship within big data internet system, especially with the comprehension of the situation in developing context. The obtained conclusions are listed as follows. First, the theoretical framework of endogenous and exogenous motivations for traditional entrepreneurship takes economic achievement as the primary motivation for traditional growth. Second, the ecological sustainable entrepreneurship within big data internet system focuses on dealing with negative issues and realizing better off in both social and ecological aspects from the very beginning to the end. Finally and most importantly, the research provides the identification of fostering path of ecological sustainable entrepreneurship within big data internet system, and indicates the fostering path lies in the dimensions of (1) positive ecological or environmental, social, and sustainable concerns and actions during the whole period; (2) collective spirit, challenge and learning; (3) crowd funding in financial start-up capital; (4) shorten growth period; and (5) even greater economic profit than traditional enterprises.

Suggested Citation

  • Juying Zeng, 2018. "Fostering path of ecological sustainable entrepreneurship within big data network system," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 79-95, March.
  • Handle: RePEc:spr:intemj:v:14:y:2018:i:1:d:10.1007_s11365-017-0466-3
    DOI: 10.1007/s11365-017-0466-3
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    6. Tianlang Xiong & Zhishuo Ma & Zhuangzhuang Li & Jiangqianyi Dai, 2022. "The analysis of influence mechanism for internet financial fraud identification and user behavior based on machine learning approaches," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 996-1007, December.
    7. Alexa Böckel & Jacob Hörisch & Isabell Tenner, 2021. "A systematic literature review of crowdfunding and sustainability: highlighting what really matters," Management Review Quarterly, Springer, vol. 71(2), pages 433-453, April.
    8. Paola Bernardi & Alberto Bertello & Canio Forliano & Ludovico Bullini Orlandi, 2022. "Beyond the “ivory tower”. Comparing academic and non-academic knowledge on social entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 18(3), pages 999-1032, September.
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