Assessment model for Industry 5.0: A holistic approach to readiness and integration

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration Pub Date : 2025-04-29 DOI:10.1016/j.jii.2025.100855

Cesar Cuevas-Lopez-de-Baro, Ignacio Mira-Solves, Antonio Verdú-Jover

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引用次数: 0

Abstract

Purpose

This study proposes a novel assessment model tailored to the unique requirements of Industry 5.0 transformation utilizing Socio-Technical Theory as a framework. The model seeks to give organizations actionable insights into navigating the complex socio-technical dynamics of I5.0, evaluating organizational readiness holistically, and guiding their transition to this new industrial paradigm across different perspectives and dimensions. By fostering this holistic approach to Industry 5.0 adoption, our study aims to impact industry, society, and institutions significantly.

Methodology

The model was developed using a two-phase research approach. The first phase involved a detailed systematic literature review and a systematic literature network analysis to identify the perspectives, critical dimensions, and guiding questions for the assessment based on Socio-Technical Theory. The second phase refined the preliminary model through expert feedback from industry specialists.

Findings

Our research proposed an assessment model for Industry 5.0, confirmed Socio-Technical Theory as a substantive framework, and identified four core perspectives: strategy, sustainability, human-centricity, and resilience. These perspectives encompass 25 critical dimensions, which were further analyzed through 64 guiding questions. Expert feedback validated the need for the model and highlighted its potential for application from both a strategic and a tactical perspective.

Originality

This study addresses a crucial gap in the literature by presenting a novel assessment model tailored to the unique challenges and opportunities presented by this emerging industrial paradigm. The model’s emphasis on holistic readiness and the integration of business strategies goes beyond conventional approaches by fostering a more nuanced understanding of the socio-technical dynamics shaping the future of industry and society. By applying Socio-Technical Theory (STT), this study provides a more comprehensive understanding of the socio-technical dynamics underlying I5.0 transformation. This innovative approach provides organizations with actionable insights into navigating the intricate interplay between advanced technologies, human factors, sustainability principles, and resilience strategies in complex situations, thus advancing both theoretical and practical knowledge in the field of Industry 5.0.

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工业5.0的评估模型：准备和集成的整体方法

目的本研究以社会技术理论为框架，针对工业5.0转型的独特需求，提出一种新的评估模型。该模型旨在为组织提供可操作的见解，以导航I5.0的复杂社会技术动态，全面评估组织准备情况，并指导他们从不同的角度和维度过渡到这种新的工业范式。通过培养采用工业5.0的整体方法，我们的研究旨在对行业、社会和机构产生重大影响。该模型采用两阶段研究方法开发。第一阶段包括详细的系统文献综述和系统的文献网络分析，以确定基于社会技术理论的评估视角、关键维度和指导性问题。第二阶段通过来自行业专家的专家反馈来完善初步模型。研究提出了工业5.0的评估模型，确认了社会技术理论作为工业5.0的实质性框架，并确定了四个核心视角：战略、可持续性、以人为本和弹性。这些观点包括25个关键维度，并通过64个指导性问题进一步分析。专家反馈证实了该模型的必要性，并从战略和战术角度强调了其应用潜力。本研究提出了一种新颖的评估模型，以适应这种新兴工业范式所带来的独特挑战和机遇，从而解决了文献中的一个关键空白。该模型强调整体准备和商业战略的整合，通过培养对塑造行业和社会未来的社会技术动态的更细致的理解，超越了传统方法。通过运用社会技术理论（STT），本研究对I5.0转型背后的社会技术动态有了更全面的理解。这种创新的方法为组织在复杂情况下导航先进技术、人为因素、可持续性原则和弹性策略之间错综复杂的相互作用提供了可行的见解，从而推进了工业5.0领域的理论和实践知识。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Industrial Information Integration Decision Sciences-Information Systems and Management

CiteScore

22.30

自引率

13.40%

发文量

100

期刊介绍： The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.