反思印度的管理知识:人工智能时代改变模式、去殖民化和本土化的紧迫性

IF 1.7 Q3 MANAGEMENT
Abhoy K. Ojha
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引用次数: 0

摘要

印度的管理研究深受自然科学范式的影响。此外,印度的大多数研究都以美国的理论为主导,阻碍了本土研究。这是殖民时代英国对印度知识的影响和后殖民时代美国对管理知识的新殖民主义影响的结果。这种情况是不正常的,因为管理干预措施很可能以不适合具体情况的知识为基础。当务之急是纠正这种状况,因为基于人工智能的工具正在改变知识的创造、传播和学习方式,从而伤害本土知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reflecting on management knowledge in India: Urgency to change the paradigm, decolonise and indigenise in the age of Artificial Intelligence

Management research in India has been strongly impacted by paradigms from the natural sciences. Further, most research in India is dominated by US-based theories that discourage indigenous research. This is an outcome of British impact on knowledge in India during the colonial era and US-driven neo-colonial influences on management knowledge in the post-colonial era. This is dysfunctional as managerial interventions are likely to be based on knowledge that is unsuitable for the context. There is an urgency to correct the situation as AI based tools are changing the way knowledge is created, disseminated, and learnt, hurting indigenous knowledge.

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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
31
审稿时长
68 days
期刊介绍: IIMB Management Review (IMR) is a quarterly journal brought out by the Indian Institute of Management Bangalore. Addressed to management practitioners, researchers and academics, IMR aims to engage rigorously with practices, concepts and ideas in the field of management, with an emphasis on providing managerial insights, in a reader friendly format. To this end IMR invites manuscripts that provide novel managerial insights in any of the core business functions. The manuscript should be rigorous, that is, the findings should be supported by either empirical data or a well-justified theoretical model, and well written. While these two requirements are necessary for acceptance, they do not guarantee acceptance. The sole criterion for publication is contribution to the extant management literature.Although all manuscripts are welcome, our special emphasis is on papers that focus on emerging economies throughout the world. Such papers may either improve our understanding of markets in such economies through novel analyses or build models by taking into account the special characteristics of such economies to provide guidance to managers.
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