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dc.contributor.authorKapse, Chanduraj Pious
dc.contributor.authorKumar, Anil
dc.contributor.authorDash, Manoj Kumar
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorLuthra, Sunil
dc.date.accessioned2018-12-08T11:06:37Z
dc.date.available2018-12-08T11:06:37Z
dc.date.issued2018-03-05
dc.identifier.citationKapse, C.P. et al. (2018) ‘Developing textile entrepreneurial inclination model by integrating experts mining and ISM-MICMAC’, International Journal of Production Research, 56(14), pp.4709-4728, doi: 10.1080/00207543.2018.1443523en
dc.identifier.issn0020-7543
dc.identifier.issn1366-588X
dc.identifier.doi10.1080/00207543.2018.1443523
dc.identifier.urihttp://hdl.handle.net/10545/623203
dc.description.abstractThe Indian textile industry is lacking in an entrepreneurial inclination of a skilled young generation; because of this, the industry is facing a challenge to achieve sustainable development and growth. To overcome this problem, the goal of this work is to build an entrepreneurial inclination model in the context of the textile industry. For achieving this goal, a combined approach of an extensive literature review and experts mining has been used to establish the entrepreneurial inclination factors in phased of the study. In the second phase, an Interpretive Structural Modelling (ISM) with Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) has been applied to build a structural model and to find the driving force factors and dependence power. The results show that effective entrepreneurship courses, institutional policy, training and internship, institutional corporation and the involvement of institutional heads play a very significant role in encouraging youth towards entrepreneurship. The outcomes of the study can help both the government and academic institutes to draw up effective policy and develop an entrepreneurial culture which can help to create more entrepreneurs in the textile field.
dc.description.sponsorshipNAen
dc.language.isoenen
dc.publisherTaylor and Francisen
dc.relation.urlhttps://www.tandfonline.com/doi/full/10.1080/00207543.2018.1443523en
dc.rightsArchived with thanks to International Journal of Production Researchen
dc.subjectEnterprise Resources Planning (ERP)en
dc.subjectTextile industryen
dc.subjectStrategyen
dc.subjectInterpretive Structural Modelling (ISM)en
dc.subjectInstitutional Policyen
dc.titleDeveloping textile entrepreneurial inclination model by integrating experts mining and ISM-MICMACen
dc.typeArticleen
dc.contributor.departmentGovernment Polytechnic, Nagpur, Indiaen
dc.contributor.departmentBML Munjal Universityen
dc.contributor.departmentIndian Institute of Information Technology and Managementen
dc.contributor.departmentVilnius Gediminas Technical Universityen
dc.contributor.departmentState Institute of Engineering & Technology,Nilokheri, Indiaen
dc.identifier.journalInternational Journal of Production Researchen
dc.contributor.institutionDepartment of Textile Manufacturing, Government Polytechnic , Nagpur, India
dc.contributor.institutionSchool of Management, BML Munjal University , Gurgaon, India
dc.contributor.institutionBehavioural Economics Experiments & Analytics Laboratory, Indian Institute of Information Technology and Management, Gwalior, India
dc.contributor.institutionFaculty of Civil Engineering, Institute of Sustainable Construction, Vilnius Gediminas Technical University, Vilnius, Lithuania
dc.contributor.institutionState Institute of Engineering & Technology (Formerly known as Government Engineering College) , Nilokheri, India
dcterms.dateAccepted2017-12-19
html.description.abstractThe Indian textile industry is lacking in an entrepreneurial inclination of a skilled young generation; because of this, the industry is facing a challenge to achieve sustainable development and growth. To overcome this problem, the goal of this work is to build an entrepreneurial inclination model in the context of the textile industry. For achieving this goal, a combined approach of an extensive literature review and experts mining has been used to establish the entrepreneurial inclination factors in phased of the study. In the second phase, an Interpretive Structural Modelling (ISM) with Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) has been applied to build a structural model and to find the driving force factors and dependence power. The results show that effective entrepreneurship courses, institutional policy, training and internship, institutional corporation and the involvement of institutional heads play a very significant role in encouraging youth towards entrepreneurship. The outcomes of the study can help both the government and academic institutes to draw up effective policy and develop an entrepreneurial culture which can help to create more entrepreneurs in the textile field.


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