Cyber-resilient Industry 4.0: digital system failures,algorithmic bias and governance challenges for sustainable smart cities

Objectives: This paper examines a central tension within Industry 4.0. Digitalisation can improve efficiency, monitoring capacity and decision making, but it also creates vulnerabilities linked to digital system failures, cyber incidents and algorithmic bias. The study analyses how these risks condition sustainable and resilient digital transformation in industrial environments and why they are relevant to smart cities. Prior work: The paper builds on research on Industry 4.0, digital transformation and productivity, together with studies on cyber physical systems, smart city security, Internet of Things (IoT) vulnerabilities, artificial intelligence (AI) enabled cyber defence and algorithmic governance. It connects these strands to move beyond technical performance and cybersecurity alone. Approach: The study follows a conceptual and analytical approach, supported by selected secondary evidence from Spain and the European context. Spain provides a contextual empirical anchor for illustrating the operational and social relevance of cyber risk, while the European framework supports the analysis of cybersecurity, algorithmic transparency, human oversight and AI governance. Results: The analysis shows that Industry 4.0 should not be assessed only through automation, efficiency or productivity gains. Its sustainability also depends on resilient digital infrastructures and on the governance conditions under which algorithmic systems are deployed. Under opacity, scale and limited accountability, such systems may amplify hidden biases and generate persistent harms in workforce management, supplier selection and investment allocation. Implications: The findings are relevant for researchers, policy makers and practitioners involved in smart industry and smart city strategies, as they stress the need to align innovation with resilience, accountability and organisational trust. Value: The paper contributes an integrated framework linking cyber resilience, algorithmic governance and social sustainability, showing that sustainable digital transformation requires both resilient infrastructures and accountable automated decisions.

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Publication Details

Journal
Smart Cities and Regional Development (SCRD) Journal
Published
2026-10-26
DOI
https://doi.org/10.25019/mvv99y39
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Cyber-resilient Industry 4.0: digital system failures,algorithmic bias and governance challenges for sustainable smart cities

Sonia García-Moreno
Smart Cities and Regional Development (SCRD) Journal
Smart Cities and Technologies
article

Cyber-resilient Industry 4.0: digital system failures,algorithmic bias and governance challenges for sustainable smart cities

Sonia García-Moreno
article en

Abstract

Objectives: This paper examines a central tension within Industry 4.0. Digitalisation can improve efficiency, monitoring capacity and decision making, but it also creates vulnerabilities linked to digital system failures, cyber incidents and algorithmic bias. The study analyses how these risks condition sustainable and resilient digital transformation in industrial environments and why they are relevant to smart cities. Prior work: The paper builds on research on Industry 4.0, digital transformation and productivity, together with studies on cyber physical systems, smart city security, Internet of Things (IoT) vulnerabilities, artificial intelligence (AI) enabled cyber defence and algorithmic governance. It connects these strands to move beyond technical performance and cybersecurity alone. Approach: The study follows a conceptual and analytical approach, supported by selected secondary evidence from Spain and the European context. Spain provides a contextual empirical anchor for illustrating the operational and social relevance of cyber risk, while the European framework supports the analysis of cybersecurity, algorithmic transparency, human oversight and AI governance. Results: The analysis shows that Industry 4.0 should not be assessed only through automation, efficiency or productivity gains. Its sustainability also depends on resilient digital infrastructures and on the governance conditions under which algorithmic systems are deployed. Under opacity, scale and limited accountability, such systems may amplify hidden biases and generate persistent harms in workforce management, supplier selection and investment allocation. Implications: The findings are relevant for researchers, policy makers and practitioners involved in smart industry and smart city strategies, as they stress the need to align innovation with resilience, accountability and organisational trust. Value: The paper contributes an integrated framework linking cyber resilience, algorithmic governance and social sustainability, showing that sustainable digital transformation requires both resilient infrastructures and accountable automated decisions.

Smart Cities and Regional Development (SCRD) JournalVol. 10
University of Castilla-La Mancha (ES)
Openalex Percentile: Top 15%
Smart Cities and Technologies
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