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The degree of e-business entrepreneurship and long-term sustainability: an institutional perspective

Author

Listed:
  • Khaled Saleh Al Omoush

    (Al Zaytoonah University of Jordan)

  • Raed M. Al-Qirem

    (Al Zaytoonah University of Jordan)

  • Zaid M. Al Hawatmah

    (Al Zaytoonah University of Jordan)

Abstract

The purpose of this study is to develop and validate an institutional model to investigate the relationships among institutional drivers, the degree of e-business entrepreneurship, actual usage, and long-term sustainability of business organizations. A questionnaire was developed to collect data from 41 manufacturing firms with a sample of 328 respondents. Structural equation modeling using EQS was conducted to analyze the data. The results reveal a significant impact of institutional pressures on the degree of e-business entrepreneurship. The findings also reveal a direct relationship between the degree of e-business entrepreneurship and the actual usage of e-business innovations. Moreover, the degree of e-business entrepreneurship and the actual usage of e-business innovations have a direct impact on long-term sustainability. The present empirical study contributes to a better understanding of the existing theories and practices of e-business entrepreneurship and e-innovations in today’s business organizations. This study also provides insights into the drivers and the role of entrepreneurship in manufacturing firms with strategies of e-business adoption and use to gain long-term sustainability.

Suggested Citation

  • Khaled Saleh Al Omoush & Raed M. Al-Qirem & Zaid M. Al Hawatmah, 0. "The degree of e-business entrepreneurship and long-term sustainability: an institutional perspective," Information Systems and e-Business Management, Springer, vol. 0, pages 1-28.
  • Handle: RePEc:spr:infsem:v::y::i::d:10.1007_s10257-017-0340-4
    DOI: 10.1007/s10257-017-0340-4
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    References listed on IDEAS

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    3. Zheng Ye & Jianzhuang Zheng & Ruiyi Tu, 2020. "RETRACTED ARTICLE: Network evolution analysis of e-business entrepreneurship: big data analysis based on taobao intelligent information system," Information Systems and e-Business Management, Springer, vol. 18(4), pages 665-679, December.
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    5. Yuan Chen, 2020. "RETRACTED ARTICLE: Research on personalized recommendation algorithm based on user preference in mobile e-commerce," Information Systems and e-Business Management, Springer, vol. 18(4), pages 837-850, December.

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