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Risk Management in Knowledge Sharing: A Cross - Cultural Approach for Multinational Corporations

Abstract
This study examines the role of risk management and cultural dimensions in cross-border knowledge sharing processes within multinational corporations (MNCs). Grounded by the Knowledge-Based View and Hofstede’s cultural framework, the study investigates how MNCs navigate the complexities of cultural diversity, institutional environments, and knowledge protection while promoting effective knowledge sharing. Adopting a qualitative approach, semi-structured interviews were conducted with 15 professionals across various industries and regions, with the data analyzed through thematic analysis. The findings highlight key strategies employed by MNCs, such as trust-building initiatives, culturally adaptive communication practices, and governance mechanisms that balance formal controls with informal social structures. Notably, the study identifies language barriers as a significant risk factor that can impede knowledge sharing, even in culturally integrated environments. By synthesizing perspectives from cross cultural communication, risk management, and knowledge-sharing literature, the research provides an in depth understanding of how MNCs can improve organizational learning, foster innovation, and strengthen coordination while effectively managing risks in international operations. This study contributes to theoretical advancements by expanding the Knowledge-Based View to incorporate risk management and provides practical recommendations for developing adaptive knowledge-sharing strategies in complex international business contexts.
Degree
Master 2-years
Other description
MSc in International Business and Trade
URI
https://hdl.handle.net/2077/88419
Collections
  • Master theses
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IBT 2025-8.pdf (1.068Mb)
Date
2025-06-26
Author
Ðang, Hien Xuan Nhi
Safiah, Heba
Keywords
Knowledge sharing
Cultural dimensions
Risk management
Multinational corporations
Cross-cultural management
Knowledge-Based View
Series/Report no.
Master Degree Project 2025:8
Language
eng
Metadata
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