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The Data-based Power of Big-tech Multinational Enterprises

Ke Rong, Ronaldo Parente, Ziliang Deng*, Zhengyao Kang, Ram Mudambi, William Newburry

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Despite the increasing recognition of digital globalization in international business (IB) literature, there is a more pressing need for a comprehensive understanding of the unprecedented power generated by big-tech multinational enterprises (MNEs). This paper suggests that harnessing data ubiquity globally, instantaneously, and continuously represents a defining feature and a revolutionary power source for big-tech MNEs. By leveraging global data value chains through a mutually reinforcing data-AI feedback loop of data access, analysis, and application, big-tech MNEs can reshape IB practices and challenge global regulatory frameworks. Drawing on power-dependence theory, our research framework highlights a logic of power mutuality characterized by the interplay between power generation and power counterbalance. These two forces provide a holistic lens for examining how big-tech MNEs create data-based power, but are simultaneously countered by the economic and sociopolitical stakeholders of big-tech MNEs. We propose promising avenues for future research on MNEs’ data strategies, global data value chains, foreignness and liabilities of data, and global data governance.
Original languageEnglish
Pages (from-to)220-235
Number of pages16
JournalJournal of International Business Studies
Volume57
Issue number2
Early online date24 Dec 2025
DOIs
Publication statusPublished - 1 Mar 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

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