Sharma Rishabh, Nibedita Barsha, Gupta Himanshu
Department of Management Studies & Industrial Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, 826004, Jharkhand, India.
J Environ Manage. 2025 May;381:125170. doi: 10.1016/j.jenvman.2025.125170. Epub 2025 Apr 5.
The global transition to renewable energy is not merely a technological shift but a profound socio-economic transformation, necessitating a reimagining of workforce roles, skill development, and industrial adaptation. However, existing studies on Industry 5.0 have primarily focused on technological advancements, such as the integration of smart systems, IoT, and AI, without adequately addressing their role in workforce transformation and skill enhancement. In terms of socio-economic development, research has largely emphasized how Industry 5.0 technologies drive innovation, with little focus on how they can be harnessed for broader socio-economic growth. Additionally, methodological gaps exist, as prior studies have not comprehensively employed an integrated decision-making framework to prioritize and structure strategic workforce interventions. Addressing these gaps, this study explores and ranks key strategies for leveraging Industry 5.0 to enhance workforce capabilities and socio-economic progress. The Best-Worst Method (BWM) is utilized to determine the relative importance of these strategies, while Interpretive Structural Modelling (ISM) is applied to analyze their interdependences. MICMAC analysis further categorizes strategies based on their driving and dependence power, culminating in developing a strategic roadmap through integrating ISM results with the Interpretive Logic-Knowledge Base matrix (ILB). The findings underscore the crucial roles of "Policy Governance and Community Engagement" and "Skill Development and Educational Innovation" in facilitating an inclusive and effective energy transition. By offering a structured framework, this study provides actionable insights for policymakers to design targeted workforce reskilling initiatives, develop inclusive industrial policies, and foster public-private partnerships to accelerate the transition to renewable energy.
全球向可再生能源的转型不仅仅是技术上的转变，更是一场深刻的社会经济变革，需要重新构想劳动力角色、技能发展和产业适应。然而，现有的关于工业5.0的研究主要集中在技术进步上，如智能系统、物联网和人工智能的集成，而没有充分探讨它们在劳动力转型和技能提升中的作用。在社会经济发展方面，研究主要强调工业5.0技术如何推动创新，而很少关注如何利用这些技术实现更广泛的社会经济增长。此外，还存在方法上的差距，因为先前的研究没有全面采用综合决策框架来确定战略劳动力干预措施的优先级和结构。为了弥补这些差距，本研究探索并对利用工业5.0提升劳动力能力和社会经济进步的关键战略进行了排名。采用最佳-最差方法（BWM）来确定这些战略的相对重要性，同时运用解释结构模型（ISM）来分析它们之间的相互依存关系。MICMAC分析进一步根据战略的驱动和依赖力量对其进行分类，最终通过将ISM结果与解释逻辑-知识库矩阵（ILB）相结合，制定出战略路线图。研究结果强调了“政策治理与社区参与”以及“技能发展与教育创新”在促进包容性和有效能源转型中的关键作用。通过提供一个结构化框架，本研究为政策制定者提供了可操作的见解，以设计有针对性的劳动力再培训计划、制定包容性产业政策，并促进公私伙伴关系，从而加速向可再生能源的转型。
