How Do Artificial Intelligence (AI) and Big Data (BD) Technologies Help Social Impact Enterprises Build Legitimacy? A Multiple-Case Study

被引:0
作者
Chen, Jie [1 ]
Wang, Zhongmin [2 ]
机构
[1] Hong Kong Metropolitan University, Hong Kong
[2] The First Affiliated Hospital of Nanjing Medical University, China
关键词
Artificial Intelligence; Big Data; China; Legitimacy; Social Impact Enterprise;
D O I
10.4018/JGIM.361905
中图分类号
学科分类号
摘要
This paper explores the role of artificial intelligence (AI) and big data (BD) technologies in social impact enterprises in China, particularly focusing on their social activities. It demonstrates that these technologies are instrumental in building pragmatic, moral, and cognitive legitimacy by enhancing transparency and efficiency in stakeholder interactions across both commercial and social networks. Additionally, the study highlights the vital role of social impact enterprises in maintaining infrastructure, public services, and social welfare in financially challenged regions amidst local government debt crises. The necessity for enterprises to align with historical and cultural norms, particularly Confucian values and kinship expectations, is also emphasized. This research bridges a critical gap in the literature, offering insights into the integration of technological innovation with social entrepreneurship, and providing a foundation for future studies and policy development. © 2024 IGI Global. All rights reserved.
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  • [1] Austin J., Stevenson H., Wei-Skillern J., Social and commercial entrepreneurship: Same, different, or both?, Entrepreneurship Theory and Practice, 30, 1, pp. 1-22, (2006)
  • [2] Austin J. E., Seitanidi M. M., Creating value in nonprofit-business collaborations: New thinking and practice, (2014)
  • [3] Bao H. X., Wang Z., Wu R. L., Understanding local government debt financing of infrastructure projects in China: Evidence based on accounting data from local government financing vehicles, Land Use Policy, 136, (2024)
  • [4] Battilana J., Lee M., Advancing research on hybrid organizing – Insights from the study of social enterprises, The Academy of Management Annals, 8, 1, pp. 397-441, (2014)
  • [5] Besharov M. L., Smith W. K., Multiple institutional logics in organizations: Explaining their varied nature and implications, Academy of Management Review, 39, 3, pp. 364-381, (2014)
  • [6] Bhatt B., Qureshi I., Riaz S., Social entrepreneurship in non-munificent institutional environments and implications for institutional work: Insights from China, Journal of Business Ethics, 154, 3, pp. 605-630, (2019)
  • [7] (2023)
  • [8] Brynjolfsson E., McAfee A., The business of artificial intelligence: What it can – and cannot – do for your organization, Harvard Business Review, (2017)
  • [9] Chao P., Chinese kinship, (2013)
  • [10] Charmaz K., Constructing grounded theory: A practical guide through qualitative analysis, (2006)