Developing Workforce Capability in the Context of HR Ecosystem Learning

ABSTRACT For many organizations, developing workforce capabilities is central as it involves refining critical human resource processes such as upskilling or the acquisition of new profiles. These processes are becoming increasingly complex to manage as organizations collaborate within larger work ecosystems. Surprisingly, little research has addressed how multiple organizations collaborate to support the development of workforce capabilities, potentially leading to ecosystem‐level learning of HR patterns. Using a multi‐respondent qualitative research design, we examine how various stakeholders in a workforce ecosystem—including freelance workers, organizations, and public entities—elaborate HR patterns for cross‐boundary workers. HR pattern development by multiple actors is achieved through coordination among them, supported by top‐ and middle‐level managers from within organizations. HR ecosystem learning is energized by centrifugal and centripetal forces depending on pivotal actors, either distancing themselves from or keeping close to usual organizational patterns, which requires an intricate balance. We highlight the specific theoretical and practical implications for HR ecosystem learning.

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Publication Details

Journal
Human Resource Management Journal
Published
2026-02-28
DOI
https://doi.org/10.1111/1748-8583.70042
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Developing Workforce Capability in the Context of HR Ecosystem Learning

Juani Swart, Thierry Ruaud, Sophie D'Armagnac, Eric Michael Laviolette
Human Resource Management Journal
AI and HR Technologies
article

Developing Workforce Capability in the Context of HR Ecosystem Learning

Juani Swart, Thierry Ruaud, Sophie D'Armagnac, Eric Michael Laviolette
article en

Abstract

ABSTRACT For many organizations, developing workforce capabilities is central as it involves refining critical human resource processes such as upskilling or the acquisition of new profiles. These processes are becoming increasingly complex to manage as organizations collaborate within larger work ecosystems. Surprisingly, little research has addressed how multiple organizations collaborate to support the development of workforce capabilities, potentially leading to ecosystem‐level learning of HR patterns. Using a multi‐respondent qualitative research design, we examine how various stakeholders in a workforce ecosystem—including freelance workers, organizations, and public entities—elaborate HR patterns for cross‐boundary workers. HR pattern development by multiple actors is achieved through coordination among them, supported by top‐ and middle‐level managers from within organizations. HR ecosystem learning is energized by centrifugal and centripetal forces depending on pivotal actors, either distancing themselves from or keeping close to usual organizational patterns, which requires an intricate balance. We highlight the specific theoretical and practical implications for HR ecosystem learning.

Human Resource Management Journal
TBS Education (FR), University of Bath (GB), Bath Spa University (GB)
Openalex Percentile: Top 34%
AI and HR Technologies
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