HOW DO FINANCIAL INSTITUTIONS DEAL WITH HUMAN RESOURCE RISKS?

Human resource (HR) risks remain underexplored in both academic research and regulatory practice, despite their growing recognition as a key source of systemic risk in the financial sector. This study investigates the relationships between HR risk and other major risk domains, including Operational, Legal, AML, ESG, Strategic, and Governance risks. A systematic literature review of Scopus-indexed studies (2014–2025) identified only 22 relevant works, with just two briefly addressing staff-related risks and no established modeling framework. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), expert data from five EU financial institutions were analyzed. The results show that HR-specific threats explain 85.2% of the variance in HR risk, compared to only 12% in models using general threats. Findings suggest HR risk is tightly connected to governance, compliance, and organizational culture. Regulators and institutions should establish dedicated metrics, proactive controls, and strategic integration to mitigate HR risk.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17306955
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
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article

HOW DO FINANCIAL INSTITUTIONS DEAL WITH HUMAN RESOURCE RISKS?

Zenodo (CERN European Organization for Nuclear Research)
Diabetes, Cardiovascular Risks, and Lipoproteins
article

HOW DO FINANCIAL INSTITUTIONS DEAL WITH HUMAN RESOURCE RISKS?

article en

Abstract

Human resource (HR) risks remain underexplored in both academic research and regulatory practice, despite their growing recognition as a key source of systemic risk in the financial sector. This study investigates the relationships between HR risk and other major risk domains, including Operational, Legal, AML, ESG, Strategic, and Governance risks. A systematic literature review of Scopus-indexed studies (2014–2025) identified only 22 relevant works, with just two briefly addressing staff-related risks and no established modeling framework. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), expert data from five EU financial institutions were analyzed. The results show that HR-specific threats explain 85.2% of the variance in HR risk, compared to only 12% in models using general threats. Findings suggest HR risk is tightly connected to governance, compliance, and organizational culture. Regulators and institutions should establish dedicated metrics, proactive controls, and strategic integration to mitigate HR risk.

Zenodo (CERN European Organization for Nuclear Research)
Daugavpils University (LV)
Openalex Percentile: Top 38%
Diabetes, Cardiovascular Risks, and Lipoproteins
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