Cross-Cultural Management in AI-Augmented Workplaces: Opportunities and Challenges

Rajora, Himanshi ORCID: https://orcid.org/0000-0001-5686-3030, Jeffery, Dilshad and Amoozegar, Azadeh (2026) Cross-Cultural Management in AI-Augmented Workplaces: Opportunities and Challenges. In: Automating Intelligence With Cloud-Native AI Tools. IGI Global Scientific Publishing, Hershey, pp. 113-125. ISBN 9798337374444

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Abstract

The contemporary global business environment is being simultaneously reshaped by two powerful forces: the deepening integration of cross- cultural teams and the rapid proliferation of artificial intelligence (AI). This chapter examines the intersection of these trends, exploring the opportunities and challenges of managing culturally diverse, AI-augmented workforces. We argue that AI is not culturally neutral but, when guided by cultural competence, can strengthen global collaboration, decision- making, and inclusion. Conversely, if implemented without regard for cultural nuances, AI risks amplifying biases, eroding trust, and creating new forms of digital exclusion. This chapter begins by establishing the theoretical foundations of cross- cultural management and AI augmentation. A framework for culturallycompetent AI integration is proposed, focusing on managerial strategies and tool selection. The chapter concludes with a discussion of the social, ethical, and managerial implications, calling for a more inclusive and critically aware approach to AI-augmented workplaces.

Item Type: Book Section
Uncontrolled Keywords: Corporate strategies | Corporates | Environmental forecasting | Environmental scanning | Language processing | Machine-learning | Natural languages | Paradigm shifts | Planning and execution | Strategic modeling
Subjects: Social Sciences and humanities > Business, Management and Accounting > General Management
Depositing User: Mrs Tulika Kumar
Date Deposited: 03 Mar 2026 10:55
Last Modified: 06 May 2026 09:36
Official URL: https://doi.org/10.4018/979-8-3373-7442-ch009
URI: https://pure.jgu.edu.in/id/eprint/10977

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