Identification of cause and effect relationships among barriers of Industry 4.0 using decision-making trial and evaluation laboratory method

Nimawat, Dheeraj; Gidwani, B.D.

doi:10.1108/bij-08-2020-0429

Cited by 55 publications

(41 citation statements)

References 105 publications

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“…However, the researchers agree that the investigation of barriers related to i4.0 implementation remains unexplored in the extant literature [ 8 , 22 , 32 , 34 ]. Therefore, the discussion of such challenges or barriers to i4.0 will be presented here because understanding these barriers is important in implementing emerging and digital manufacturing technologies [ 35 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

et al. 2021

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This research aims to identify, rank, and create an interplay among the psychological barriers to adopting Industry 4.0 technologies in the manufacturing sector. A comprehensive literature review tracked by a discussion with industry and academic experts recognized 20 barriers. Based on three widely acclaimed statistical techniques, hybrid AHP-TOPSIS (Analytical Hierarchy Process-Technique for Order Performance by Similarity to Ideal Solution) and ISM (Interpretative Structural Modeling), critical psychological barriers have been investigated. A group of 8 experts from industry and academia with at least 10 years of experience was consulted for AHP and ISM techniques. Whereas TOPSIS was conducted by 443 operational-level users, including managers and supervisors of different functional areas of the manufacturing industry located in Pakistan. The findings reveal that ‘Fear of job losses’, ‘Fear of data loss/Risk of security breaches, ‘Lack of advanced & continued education of employees’ and ‘Lack of standards and reference architecture’, with highest importance weights, emerged as the most prominent psychological barriers in developing economies. Then the interrelations among these barriers resulted in a four-layered structural model. The driver barriers identified in the final model advocate that development in ‘advanced & continued education of employees’, ‘standards & reference architecture’ and ‘minimization of fear of job & data loss’ can expedite the adoption of industry 4.0 (i4.0) technologies. The study uniquely develops hierarchical relationships among the psychological barriers for adopting i4.0 in the manufacturing context using AHP-TOPSIS and ISM techniques. The study would be valuable for practitioners, decision-makers and companies that wish to focus their efforts and resources on removing the most critical barriers and challenges for the seamless implementation of Industry 4.0.

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Section: Literature Reviewmentioning

confidence: 99%

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

et al. 2021

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“…The manufacturing sector has picked up Industry 4.0 adoption at a faster pace to improve industrial efficiency. However, there are barriers to the convergence of vertical and horizontal production systems such as lack of technology readiness and cost of implementations (Nimawat and Gidwani, 2021). To some extent, RPA helps in improved interactions in the transformation journey.…”

Section: Manufacturingmentioning

confidence: 99%

Robotic process automation for industry: adoption status, benefits, challenges and research agenda

Pramod

2021

BIJ

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PurposeThis study intends to find the industries that have leveraged Robotic Process Automation (RPA) technology and elucidate the extent of the adoption of RPA in various industry domains with benefits. The identification of tasks eligible for RPA itself is a challenge. Therefore, the study further brings out the challenges faced in various industry verticals and postulates the future direction of research and applications in RPA.Design/methodology/approachThe study focuses on articles from popular databases such as SCOPUS, Web of Science and Google scholar. PRISMA methodology is used for systematic literature review and 113 papers are shortlisted for study. Three questions are framed to carry out the review and set the research direction.FindingsIt is evident from this study that RPA has been widely used in banking and related areas with moderate use in healthcare and manufacturing leading to operational efficiency and productivity. However, there are a lot more opportunities in other domains that need to be taped by leveraging technology advancements and a research agenda has been devised by postulating future directions.Originality/valueThe study brings out a new comprehensive perspective as regards RPA implementation across domains. There is no promising study found that gathers three-dimensional aspects of the meta-themes applications, benefits and challenges. The study summarizes the research agenda and projects the industry domains that have not yet explored, the benefits of RPA. This will be a good reference article for those who develop RPA techniques and organizations that have plans to go for RPA.

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“…They note that to achieve a more efficient integration between logistics systems and the physical Internet, significant investments must be made in material handling facilities, transportation assets and intelligence-based systems. An empirical study by Nimawat and Gidwani (2021) concludes that high investment costs pose a critical barrier for manufacturers pursuing Industry 4.0.…”

Section: Bij 2810mentioning

confidence: 99%

The impact of Logistics 4.0 on corporate sustainability: a performance assessment of automated warehouse operations

Nantee

Sureeyatanapas

2021

BIJ

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PurposeThe purpose of this study is to gain a better understanding of the impacts of Logistics 4.0 initiatives (focusing on automated warehousing systems) on the economic, environmental and social dimensions of firms' sustainability performance. To achieve this objective, a new framework for the assessment of sustainable warehousing in the 4.0 era is developed.Design/methodology/approachThe framework, developed via the item-objective congruence index, Q-sort method and interviews with experts, is employed to assess performance changes through management interviews in two warehousing companies after the implementation of automation technologies.FindingsMost aspects of both companies' sustainability performance are considerably improved (e.g. productivity, accuracy, air emission, worker safety and supply chain visibility); however, the outcome for some criteria might be worsened or improved depending on each company's solutions and strategies (e.g. increasing electricity bills, maintenance costs and job losses).Practical implicationsThe findings provide insight into the effective implementation of warehousing technologies. The proposed framework is also a valid and reliable instrument for sustainability assessment for warehousing operators, which companies can utilise for self-assessment.Originality/valueThis paper contributes to establishing a body of literature that explores the previously unclarified effects of Logistics 4.0 on firms' sustainability performance. The proposed framework, which captures critical concerns of corporate sustainability and technological adaptation, is also the first of its kind for warehouse performance assessment.

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Identification of cause and effect relationships among barriers of Industry 4.0 using decision-making trial and evaluation laboratory method

Cited by 55 publications

References 105 publications

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

Robotic process automation for industry: adoption status, benefits, challenges and research agenda

The impact of Logistics 4.0 on corporate sustainability: a performance assessment of automated warehouse operations

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