Digitalization and organizational capabilities: a mechanism-based integrative review

Purpose This study addresses the fragmented understanding of how digitalization shapes organizational capabilities by identifying and synthesizing the underlying mechanisms. Methods A mechanism-based systematic literature review was conducted on 116 core studies published in Q1 journals between 2015 and 2024. A structured multi-stage screening and classification process was applied to identify key mechanisms and their interrelationships. Results The findings reveal four mechanism families—enabling, cognitive, collaborative, and adaptive—and twelve sub-mechanisms explaining how digital structures, cognition, and collaboration interact to reconfigure organizational capabilities. Three dominant causal chains—enabling → adaptive, cognitive → adaptive, and collaborative → adaptive—are identified. Based on these results, the Digital Capability System (DCS) is proposed, conceptualizing capability evolution as a recursive, multi-level, and boundary-spanning system. Discussion This study contributes by moving beyond linear antecedent–outcome models and advancing a mechanism-based, multi-level perspective on digital capability development. It also identifies key research gaps, including static treatments of infrastructure, output-biased innovation measures, and cross-level inconsistencies, and provides an agenda for future research and practical guidance for designing digitally enabled capability systems.

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Publication Details

Journal
Frontiers in Psychology
Published
2026-04-30
DOI
https://doi.org/10.3389/fpsyg.2026.1745412
Primary Topic
Digital Transformation in Industry
Type
article
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article

Digitalization and organizational capabilities: a mechanism-based integrative review

Yiqi Zhou, Sen Jia, Khai Wah Khaw
Frontiers in Psychology
Digital Transformation in Industry
article

Digitalization and organizational capabilities: a mechanism-based integrative review

Yiqi Zhou, Sen Jia, Khai Wah Khaw
article en

Abstract

Purpose This study addresses the fragmented understanding of how digitalization shapes organizational capabilities by identifying and synthesizing the underlying mechanisms. Methods A mechanism-based systematic literature review was conducted on 116 core studies published in Q1 journals between 2015 and 2024. A structured multi-stage screening and classification process was applied to identify key mechanisms and their interrelationships. Results The findings reveal four mechanism families—enabling, cognitive, collaborative, and adaptive—and twelve sub-mechanisms explaining how digital structures, cognition, and collaboration interact to reconfigure organizational capabilities. Three dominant causal chains—enabling → adaptive, cognitive → adaptive, and collaborative → adaptive—are identified. Based on these results, the Digital Capability System (DCS) is proposed, conceptualizing capability evolution as a recursive, multi-level, and boundary-spanning system. Discussion This study contributes by moving beyond linear antecedent–outcome models and advancing a mechanism-based, multi-level perspective on digital capability development. It also identifies key research gaps, including static treatments of infrastructure, output-biased innovation measures, and cross-level inconsistencies, and provides an agenda for future research and practical guidance for designing digitally enabled capability systems.

Frontiers in PsychologyVol. 17
Universiti Sains Malaysia (MY), University of Malaya (MY)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Digital Transformation in Industry
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