Journal of Management Research and Review (JMRR) · Research article · Open access
HR Analytics as an Organizational Learning Capability: Dynamic Capabilities, Absorptive Capacity, And Double-Loop Learning
BELINGA BESSALA Jacob Patrick
22 July 2026 · Vol. 2, Issue 7, pp. 530-541
DOI: 10.65150/EP-jmrr/V2E7/2026-08
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What is this article about?
Objective: This article reconceptualises HR analytics from a decision-support tool to an organisational learning capability by integrating three theoretical traditions that have not been jointly mobilised in the HR analytics literature: dynamic capabilities theory, absorptive capacity, and organisational learning theory. Design/methodology: A theoretical integrative review (Torraco, 2005) synthesizes three bodies of literature through a structured analytical protocol.
Article at a glance
- Published
- 22 July 2026
- Volume / issue / pages
- Vol. 2, Issue 7, pp. 530-541
- ISSN
- 3051-3588 (online) · 3051-357X (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Objective: This article reconceptualises HR analytics from a decision-support tool to an organisational learning capability by integrating three theoretical traditions that have not been jointly mobilised in the HR analytics literature: dynamic capabilities theory, absorptive capacity, and organisational learning theory. Design/methodology: A theoretical integrative review (Torraco, 2005) synthesizes three bodies of literature through a structured analytical protocol. Published empirical findings from prior studies are reinterpreted under the integrated theoretical lens as secondary empirical anchoring. Findings: HR analytics maturity activates dynamic HR capabilities (sensing, seizing, reconfiguring) that produce organisational learning only when absorptive capacity mediates the conversion of analytical outputs into actionable knowledge. Learning depth, from single-loop correction to double-loop reconfiguration, determines the strategic quality of human capital decisions. Eight propositions and four contextual moderators are formalised. Implications: This article offers a novel application, among the first in the HR analytics domain, of the dynamic capabilities-absorptive capacity-organizational learning nexus, shifting the field’s guiding question from “What can HR analytics do?” to “How does an organisation learn through HR analytics?”
Keywords: HR analytics, dynamic capabilities, absorptive capacity, organisational learning, double-loop learning, evidence-based HRM
Cite this article
BELINGA BESSALA Jacob Patrick (2026). HR Analytics as an Organizational Learning Capability: Dynamic Capabilities, Absorptive Capacity, And Double-Loop Learning. Journal of Management Research and Review, 2(7), 530-541. https://doi.org/10.65150/EP-jmrr/V2E7/2026-08
@article{BELINGA2026,
title = {HR Analytics as an Organizational Learning Capability: Dynamic Capabilities, Absorptive Capacity, And Double-Loop Learning},
author = {BELINGA BESSALA Jacob Patrick},
journal = {Journal of Management Research and Review},
year = {2026},
volume = {2},
number = {7},
pages = {530-541},
doi = {10.65150/EP-jmrr/V2E7/2026-08},
url = {https://doi.org/10.65150/EP-jmrr/V2E7/2026-08}
}Questions about this article
Who wrote this article?
BELINGA BESSALA Jacob Patrick.
Where and when was it published?
In Journal of Management Research and Review, Volume 2, Issue 7, pages 530-541, published by EP Journals Group on 22 July 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jmrr/V2E7/2026-08 (https://doi.org/10.65150/EP-jmrr/V2E7/2026-08).
How do I cite this article?
APA: BELINGA BESSALA Jacob Patrick (2026). HR Analytics as an Organizational Learning Capability: Dynamic Capabilities, Absorptive Capacity, And Double-Loop Learning. Journal of Management Research and Review, 2(7), 530-541. https://doi.org/10.65150/EP-jmrr/V2E7/2026-08
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