Workforce Analytics in Multinational Corporations

Mark Huselid; Dana Minbaeva; Martin R. Edwards; Alec Levenson

doi:10.1016/j.orgdyn.2025.101145

Workforce Analytics in Multinational Corporations

Mark Huselid^*
, Dana Minbaeva
, Martin R. Edwards
, Alec Levenson

^*Corresponding author for this work

Department of Strategy and Innovation

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

Workforce Analytics (WFA) offers a strategic lens to align talent investments with multinational corporations’ (MNCs) global objectives. Unlike traditional HR or people analytics, WFA focuses on the entire workforce, emphasizing that certain “A positions” disproportionately drive value creation. As MNCs grapple with cultural complexities, diverse markets, and evolving regulations, WFA transcends conventional data accumulation and reporting. The ACAI model (Ask, Collect, Analyze, Influence) grounds WFA in strategic inquiry, data relevance, rigorous analysis, and evidence-based decision-making. This holistic, iterative approach transforms WFA from a static toolkit into a dynamic capability that enables MNCs to anticipate challenges, leverage innovation, and sustain competitive advantage in a complex global landscape.

Original language	English
Article number	101145
Journal	Organizational Dynamics
Volume	54
Issue number	3P1
Number of pages	5
ISSN	0090-2616
DOIs	https://doi.org/10.1016/j.orgdyn.2025.101145
Publication status	Published - Sept 2025

Bibliographical note

Published online: 21 March 2025.

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Cite this

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title = "Workforce Analytics in Multinational Corporations",

abstract = "Workforce Analytics (WFA) offers a strategic lens to align talent investments with multinational corporations{\textquoteright} (MNCs) global objectives. Unlike traditional HR or people analytics, WFA focuses on the entire workforce, emphasizing that certain “A positions” disproportionately drive value creation. As MNCs grapple with cultural complexities, diverse markets, and evolving regulations, WFA transcends conventional data accumulation and reporting. The ACAI model (Ask, Collect, Analyze, Influence) grounds WFA in strategic inquiry, data relevance, rigorous analysis, and evidence-based decision-making. This holistic, iterative approach transforms WFA from a static toolkit into a dynamic capability that enables MNCs to anticipate challenges, leverage innovation, and sustain competitive advantage in a complex global landscape.",

author = "Mark Huselid and Dana Minbaeva and Edwards, \{Martin R.\} and Alec Levenson",

note = "Published online: 21 March 2025.",

year = "2025",

month = sep,

doi = "10.1016/j.orgdyn.2025.101145",

language = "English",

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journal = "Organizational Dynamics",

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AU - Minbaeva, Dana

AU - Edwards, Martin R.

AU - Levenson, Alec

N1 - Published online: 21 March 2025.

PY - 2025/9

Y1 - 2025/9

N2 - Workforce Analytics (WFA) offers a strategic lens to align talent investments with multinational corporations’ (MNCs) global objectives. Unlike traditional HR or people analytics, WFA focuses on the entire workforce, emphasizing that certain “A positions” disproportionately drive value creation. As MNCs grapple with cultural complexities, diverse markets, and evolving regulations, WFA transcends conventional data accumulation and reporting. The ACAI model (Ask, Collect, Analyze, Influence) grounds WFA in strategic inquiry, data relevance, rigorous analysis, and evidence-based decision-making. This holistic, iterative approach transforms WFA from a static toolkit into a dynamic capability that enables MNCs to anticipate challenges, leverage innovation, and sustain competitive advantage in a complex global landscape.

AB - Workforce Analytics (WFA) offers a strategic lens to align talent investments with multinational corporations’ (MNCs) global objectives. Unlike traditional HR or people analytics, WFA focuses on the entire workforce, emphasizing that certain “A positions” disproportionately drive value creation. As MNCs grapple with cultural complexities, diverse markets, and evolving regulations, WFA transcends conventional data accumulation and reporting. The ACAI model (Ask, Collect, Analyze, Influence) grounds WFA in strategic inquiry, data relevance, rigorous analysis, and evidence-based decision-making. This holistic, iterative approach transforms WFA from a static toolkit into a dynamic capability that enables MNCs to anticipate challenges, leverage innovation, and sustain competitive advantage in a complex global landscape.

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DO - 10.1016/j.orgdyn.2025.101145

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