The data-based power of big-tech multinational enterprises

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.

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Publication Details

Journal
Journal of International Business Studies
Published
2025-12-24
DOI
https://doi.org/10.1057/s41267-025-00828-5
Primary Topic
Cybersecurity and Cyber Warfare Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

The data-based power of big-tech multinational enterprises

Ke Rong, William Newburry, Zhengyao Kang, Ram Mudambi et al.
Journal of International Business Studies
Cybersecurity and Cyber Warfare Studies
article

The data-based power of big-tech multinational enterprises

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

Abstract

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.

Journal of International Business StudiesVol. 57(2)
Florida International University (US), Peking University (CN), University of Bristol (GB), Institute of Economics (CN), Temple University (US), Tsinghua University (CN)
National Science Foundation, National Natural Science Foundation of China, Tsinghua University, National Office for Philosophy and Social Sciences
Partnerships for the goals
Openalex Percentile: Top 21%
Cybersecurity and Cyber Warfare Studies
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