Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Akram, Nimra, Ahmad, Atif, Maynard, Sean B
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward a Dynamic Intellectual Property Protection Model in High-Growth SMEs
by: Pitruzzello, Sam, et al.
Published: (2026)

Threat Intelligence Driven IP Protection for Entrepreneurial SMEs
by: Pitruzzello, Sam, et al.
Published: (2026)

Systematic Review of Cybersecurity in Banking: Evolution from Pre-Industry 4.0 to Post-Industry 4.0 in Artificial Intelligence, Blockchain, Policies and Practice
by: Tran, Tue Nhi
Published: (2025)

Secure Data Bridging in Industry 4.0: An OPC UA Aggregation Approach for Including Insecure Legacy Systems
by: Sain, Dalibor, et al.
Published: (2026)

Toward Web 4.0: Bidirectional Trust between AI Agents and Blockchain
by: Xia, Yunfeng, et al.
Published: (2026)

Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services
by: Akram, Junaid, et al.
Published: (2024)

A Blockchain-Enhanced Framework for Privacy and Data Integrity in Crowdsourced Drone Services
by: Akram, Junaid, et al.
Published: (2024)

hChain 4.0: A Secure and Scalable Permissioned Blockchain for EHR Management in Smart Healthcare
by: Alruwaill, Musharraf N., et al.
Published: (2025)

BRIDG-ICS: AI-Grounded Knowledge Graphs for Intelligent Threat Analytics in Industry~5.0 Cyber-Physical Systems
by: Nandiya, Padmeswari, et al.
Published: (2025)

A Review on the Application of Blockchain for the Next Generation of Cybersecure Industry 4.0 Smart Factories
by: Fernandez-Carames, Tiago M., et al.
Published: (2019)

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance
by: Lee, Gijung, et al.
Published: (2026)

An Edge-Computing based Industrial Gateway for Industry 4.0 using ARM TrustZone Technology
by: Gupta, Sandeep
Published: (2024)

Cybersecurity in Industry 5.0: Open Challenges and Future Directions
by: Santos, Bruno, et al.
Published: (2024)

AI-Driven Dynamic Firewall Optimization Using Reinforcement Learning for Anomaly Detection and Prevention
by: Ahmad, Taimoor
Published: (2025)

A Generic Machine Learning Framework for Radio Frequency Fingerprinting
by: Hiles, Alex, et al.
Published: (2025)

AUTOPSY: A Framework for Tackling Privacy Challenges in the Automotive Industry
by: Pape, Sebastian, et al.
Published: (2025)

MALIGN: Explainable Static Raw-byte Based Malware Family Classification using Sequence Alignment
by: Saha, Shoumik, et al.
Published: (2021)

It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
by: Rosenzweig, Ben, et al.
Published: (2025)

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration
by: Zuo, Xuhan, et al.
Published: (2024)

VR-based Blockchain-enabled Data Visualization Framework For Manufacturing Industry
by: Saha, Nitol, et al.
Published: (2024)

Pk-IOTA: Blockchain empowered Programmable Data Plane to secure OPC UA communications in Industry 4.0
by: Lorenzo, Rinieri, et al.
Published: (2025)

Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks
by: Ahmad, Taimoor
Published: (2025)

Consistent and Compatible Modelling of Cyber Intrusions and Incident Response Demonstrated in the Context of Malware Attacks on Critical Infrastructure
by: Maynard, Peter, et al.
Published: (2025)

Design and Implementation of a Controlled Ransomware Framework for Educational Purposes Using Flutter Cryptographic APIs on Desktop PCs and Android Devices
by: Gu, James, et al.
Published: (2025)

Machine Learning Driven Smishing Detection Framework for Mobile Security
by: Goel, Diksha, et al.
Published: (2024)

Advanced Data Collection Techniques in Cloud Security: A Multi-Modal Deep Learning Autoencoder Approach
by: Syed, Aamiruddin, et al.
Published: (2025)

Capability-Based Multi-Tenant Access Management in Crowdsourced Drone Services
by: Akram, Junaid, et al.
Published: (2025)

Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs
by: Mohsin, Ahmad, et al.
Published: (2024)

Integrating MLSecOps in the Biotechnology Industry 5.0
by: Pervez, Naseela, et al.
Published: (2024)

Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version)
by: Knauer, Jonathan, et al.
Published: (2024)

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
by: Yang, Yuxin, et al.
Published: (2024)

An Explainable Federated Framework for Zero Trust Micro-Segmentation in IIoT Networks
by: Gambo, Muhammad Liman, et al.
Published: (2026)

Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions
by: Khan, Naseem, et al.
Published: (2024)

TDML -- A Trustworthy Distributed Machine Learning Framework
by: Wang, Zhen, et al.
Published: (2024)

Leveraging Machine Learning for Wi-Fi-based Environmental Continuous Two-Factor Authentication
by: AlQahtani, Ali Abdullah S., et al.
Published: (2024)

Involuntary In-Context Learning: Exploiting Few-Shot Pattern Completion to Bypass Safety Alignment in GPT-5.4
by: Polyakov, Alex, et al.
Published: (2026)

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking
by: An, Li, et al.
Published: (2025)

Orion: A Fully Homomorphic Encryption Framework for Deep Learning
by: Ebel, Austin, et al.
Published: (2023)

Circumventing Platform Defenses at Scale: Automated Content Replication from YouTube to Blockchain-Based Decentralized Storage
by: Akram, Muhammad Zeeshan
Published: (2026)

Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes
by: Mazzone, Federico, et al.
Published: (2024)