Industry 5.0: analyzing the challenges in implementation using grey influence analysis

IF 7.4 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
R. Rajesh
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引用次数: 0

Abstract

Purpose

The author explores the challenges to implementation of Industry 5.0 in the manufacturing sector, considering the developing economy context and studying the causal relationships among factors using an advanced causal modelling technique, the Grey Influence Analysis (GINA). The challenges were further classified based on importance and their influencing power.

Design/methodology/approach

The author uses the novel causal modelling technique of GINA to study and understand the influence relations among the challenges to implementation of Industry 5.0.

Findings

Based on the results from the expert response-based study in the Indian manufacturing industry, it is seen that the Regulatory challenges (RGC) appear to be the most important challenge that needs to be tackled first, while implementing Industry 5.0. Integration with existing systems and Ethical challenges (ETC) emerge as the second and third most important in the category of challenges, as per the results from the GINA analysis.

Research limitations/implications

The RGC and the ETC need to be addressed prior to implementation and it is necessary to check whether the technologies comply with regulations and whether it creates serious job displacements. While implementation, the challenges with integration to existing systems can be appropriately tackled.

Practical implications

As a practical implication of the study, the author suggests that a proactive and reactive approach can be adopted to implement the Industry 5.0 concepts to reality. The RGC can be viewed for the adoption of technology, integration challenges can be viewed by understanding the existing systems, and ETC can be addressed by understanding the workforce in combination with technologies.

Originality/value

The shift in focus on sustainability and resilience has transformed the conventional industries to think beyond efficiency and productivity, toward being more responsible to society. The study analyzes the challenges to implementation of Industry 5.0 and the causal relations among them considering an expert response-based study.

工业5.0:运用灰色影响分析法分析实施中的挑战
作者探讨了在制造业实施工业5.0所面临的挑战,考虑到发展中的经济背景,并使用先进的因果建模技术灰色影响分析(GINA)研究了因素之间的因果关系。根据挑战的重要性和影响力,进一步对其进行分类。设计/方法/方法作者使用新颖的GINA因果建模技术来研究和理解实施工业5.0所面临的挑战之间的影响关系。根据印度制造业专家响应研究的结果,可以看出,在实施工业5.0时,监管挑战(RGC)似乎是首先需要解决的最重要的挑战。根据GINA分析的结果,与现有系统的集成和道德挑战(ETC)成为挑战类别中第二和第三重要的挑战。研究的限制/影响在实施研究前,必须先向研资局和科技发展委员会提出建议,并检查有关技术是否符合规例,以及是否会造成严重的工作流失。在实现过程中,可以适当地解决与现有系统集成的挑战。作为研究的实际意义,作者建议采用主动和被动的方法来实现工业5.0概念。研究资助局可以采用技术,集成挑战可以通过了解现有系统来看待,ETC可以通过了解劳动力与技术的结合来解决。对可持续性和弹性的关注已经改变了传统行业,使其不再局限于效率和生产力,而是对社会更负责任。本研究采用基于专家响应的研究方法,分析了实施工业5.0所面临的挑战以及这些挑战之间的因果关系。
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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
期刊介绍: The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.
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