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dc.contributor.authorKrishnan, S., Gupta, S., Kaliyan, M., Kumar, V., Garza-Reyes, J.A.
dc.date.accessioned2021-03-26T16:57:45Z
dc.date.available2021-03-26T16:57:45Z
dc.date.issued2021-03-23
dc.identifier.citationKrishnan, S., Gupta, S., Kaliyan, M., Kumar, V., Garza-Reyes, J.A. (2021). 'Assessing the key enablers for industry 4.0 adoption using MICMAC analysis: a case study'. International Journal of Productivity and Performance Management, pp. 1-46en_US
dc.identifier.issn1741-0401
dc.identifier.doi10.1108/IJPPM-02-2020-0053
dc.identifier.urihttp://hdl.handle.net/10545/625671
dc.description.abstractThe aim of this research is to assess the key enablers of Industry 4.0 (I4.0) in the context of the Indian automobile industry. It is done to apprehend their comparative effect on executing Industry 4.0 concepts and technology in manufacturing industries, in a developing country context. The progression to Industry 4.0 grants the opportunity for manufacturers to harness the benefits of this industry generation. Literature related to Industry 4.0 has been reviewed for the identification of key enablers of Industry 4.0. The enablers were further verified by academic professionals. Additionally, key executive insights had been revealed by using interpretive structural modelling (ISM) model for the vital enablers unique to the Indian scenario. We have also applied MICMAC analysis, to group the enablers of I4.0. The analysis of our data from respondents using ISM provided us with 7 levels of enabler framework. Our study adds to the existing literature on industry 4.0 enablers and findings highlight the specificities of the territories in India context. Our results show that top management is the major enabler to I4.0 implementation. Infact, it occupies the 7th layer of the ISM framework. Subsequently, government policies enable substantial support to develop smart factories in India. The findings of our work provides implementers of I4.0 in the automobile industry in the form of a robust framework. This framework can be followed by the automobile sector in enhancing their competency in the competitive market and ultimately provide a positive outcome for the Indian economic development led by these businesses. Furthermore, our work will guide decision-makers in enabling strategic integration of Industry 4.0, opening doors for the development of new business opportunities as well. The study proposes a framework for Indian automobile industries. The automobile sector was chosen for this study as it covers a large percentage of the market share of the manufacturing industry in India. Existing literature does not address the broader picture of I4.0 and most papers do not provide validation of the data collected. Our study thus addresses this research gap.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.relation.urlhttps://www.emerald.com/insight/content/doi/10.1108/IJPPM-02-2020-0053/full/htmlen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectIndustry 4.0en_US
dc.subjectEnablersen_US
dc.subjectISMen_US
dc.titleAssessing the key enablers for industry 4.0 adoption using MICMAC analysis: a case studyen_US
dc.typeArticleen_US
dc.contributor.departmentAmity University, Noida, Indiaen_US
dc.contributor.departmentThiagarajar School of Management, Madurai, Indiaen_US
dc.contributor.departmentUniversity of the West of Englanden_US
dc.contributor.departmentUniversity of Derbyen_US
dc.identifier.journalInternational Journal of Productivity and Performance Managementen_US
dcterms.dateAccepted2021-02
refterms.dateFOA2021-03-26T16:57:46Z
dc.author.detail780891en_US


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