Organizational Learning in Industry 4.0: Applying Crossan's 4I Framework with Double Loop Learning

Fuente: arXiv
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Main Authors: Akram, Nimra, Ahmad, Atif, Maynard, Sean B
Format: Preprint
Published: 2025
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author Akram, Nimra
Ahmad, Atif
Maynard, Sean B
author_facet Akram, Nimra
Ahmad, Atif
Maynard, Sean B
contents The Advanced Dynamic Security Learning (DSL) Process Model is an Industry 4.0 cybersecurity incident response architecture proposed in this paper. This model addresses proactive and reflective cybersecurity governance across complex cyber-physical systems by combining Argyris and Schön's double-loop learning theory with Crossan's 4I organizational learning framework. Given that 65% of industrial companies suffer ransomware attacks annually and many of them lack cybersecurity awareness, this reveals the gravity of cyber threats. Feedforward and feedback learning loops in this paradigm help promote strategic transformation and ongoing growth. The DSL model helps Industry 4.0 organizations adapt to growing challenges posed by the projected 18.8 billion IoT devices by bridging operational obstacles and promoting systemic resilience. This research presents a scalable, methodical cybersecurity maturity approach based on a comprehensive analysis of the literature and a qualitative study.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21813
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Organizational Learning in Industry 4.0: Applying Crossan's 4I Framework with Double Loop Learning
Akram, Nimra
Ahmad, Atif
Maynard, Sean B
Cryptography and Security
The Advanced Dynamic Security Learning (DSL) Process Model is an Industry 4.0 cybersecurity incident response architecture proposed in this paper. This model addresses proactive and reflective cybersecurity governance across complex cyber-physical systems by combining Argyris and Schön's double-loop learning theory with Crossan's 4I organizational learning framework. Given that 65% of industrial companies suffer ransomware attacks annually and many of them lack cybersecurity awareness, this reveals the gravity of cyber threats. Feedforward and feedback learning loops in this paradigm help promote strategic transformation and ongoing growth. The DSL model helps Industry 4.0 organizations adapt to growing challenges posed by the projected 18.8 billion IoT devices by bridging operational obstacles and promoting systemic resilience. This research presents a scalable, methodical cybersecurity maturity approach based on a comprehensive analysis of the literature and a qualitative study.
title Organizational Learning in Industry 4.0: Applying Crossan's 4I Framework with Double Loop Learning
topic Cryptography and Security
url https://arxiv.org/abs/2512.21813