Adopting Industry 4.0 by leveraging organisational factors

dc.contributor.author Deepak Kumar Srivastava
dc.contributor.author Vikas Kumar
dc.contributor.author Banu Yetkin Yetkin Ekren
dc.contributor.author Arvind Upadhyay
dc.contributor.author Mrinal Tyagi
dc.contributor.author Archana Kumari
dc.date.accessioned 2025-10-06T17:49:59Z
dc.date.issued 2022
dc.description.abstract The manufacturing sector needs to focus on social environmental and technological factors to integrate Industry 4.0 in production planning logistics and supply chains. Technical Education Institutes (TEIs) can play a key role in achieving this ambition as they are responsible for the workforce of the digital future. To this end a learning factory is often referred to as a realistic manufacturing environment. However the existing research regarding the successful adoption of a learning factory based on Industry 4.0 is scant in the literature. We therefore aim to address this research gap by examining key factors that affect the decision to adopt Industry 4.0 in technical education institutes. We have adopted the theoretical lens of the Technology-Organisation-Environment (T-O-E) framework to study industry 4.0 adoption in TEIs. The findings based on 134 valid responses from TEIs in India indicate that the organisational dimension is critical in determining whether or not to adopt Industry 4.0. Our study shows that top management support internal resources and the capabilities of the teaching staff are vital for the adoption of Industry 4.0. Additionally our findings indicate that significant differences exist between public and private TEIs concerning the adoption of Industry 4.0. © 2022 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.techfore.2021.121439
dc.identifier.issn 00401625
dc.identifier.issn 0040-1625
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121431205&doi=10.1016%2Fj.techfore.2021.121439&partnerID=40&md5=c0541b0addcea8483fd32d554ba7b21d
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8738
dc.language.iso English
dc.publisher Elsevier Inc.
dc.relation.ispartof Technological Forecasting and Social Change
dc.source Technological Forecasting and Social Change
dc.subject Empirical Study, Industry 4.0, Learning Factory, T-o-e, Technical Education Institutes, Engineering Education, Human Resource Management, Industry 4.0, Production Control, Technical Presentations, Empirical Studies, Environmental Factors, Learning Factory, Manufacturing Sector, Organizational Factors, Social Factor, Technical Education Institute, Technical Educations, Technological Factors, Technology Organization Environments, Supply Chains, Education, Empirical Analysis, Learning, Manufacturing, Teaching, Technology Adoption
dc.subject Engineering education, Human resource management, Industry 4.0, Production control, Technical presentations, Empirical studies, Environmental factors, Learning factory, Manufacturing sector, Organizational factors, Social factor, Technical education institute, Technical educations, Technological factors, Technology organization environments, Supply chains, education, empirical analysis, learning, manufacturing, teaching, technology adoption
dc.title Adopting Industry 4.0 by leveraging organisational factors
dc.type Article
dspace.entity.type Publication
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gdc.description.startpage 121439
gdc.description.volume 176
gdc.identifier.openalex W4200062365
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gdc.oaire.keywords Empirical Study
gdc.oaire.keywords HE
gdc.oaire.keywords 380
gdc.oaire.keywords T-O-E
gdc.oaire.keywords Technical education institutes
gdc.oaire.keywords Industry 40
gdc.oaire.keywords Learning Factory
gdc.oaire.keywords Industry 4.0
gdc.oaire.keywords Innovation, Operations Management and Supply
gdc.oaire.keywords Digital Futures
gdc.oaire.keywords Empirical study
gdc.oaire.keywords Learning factory
gdc.oaire.keywords HF5001_Business
gdc.oaire.keywords Technical Education Institutes
gdc.oaire.popularity 6.807934E-8
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gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0502 economics and business
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gdc.opencitations.count 83
gdc.plumx.crossrefcites 80
gdc.plumx.mendeley 337
gdc.plumx.scopuscites 96
person.identifier.scopus-author-id Srivastava- Deepak Kumar (57196741367), Kumar- Vikas (36835614000), Yetkin Ekren- Banu Yetkin (23488489800), Upadhyay- Arvind (57193437808), Tyagi- Mrinal (57201954367), Kumari- Archana (57206445346)
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