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

TL;DR

This paper introduces the DSL Process Model, integrating organizational learning theories to enhance cybersecurity incident response in Industry 4.0, addressing growing cyber threats and promoting systemic resilience.

Contribution

It proposes a novel cybersecurity architecture combining Double Loop Learning and Crossan's 4I framework tailored for Industry 4.0 environments.

Findings

The DSL model promotes strategic transformation and growth.

It offers a scalable cybersecurity maturity approach.

Addresses challenges from 18.8 billion IoT devices.

Abstract

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 Sch\"on'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.