Developing textile entrepreneurial inclination model by integrating experts mining and ISM-MICMAC

Journal article


Kapse, Chanduraj Pious, Kumar, Anil, Dash, Manoj Kumar, Zavadskas, Edmundas Kazimieras and Luthra, Sunil 2018. Developing textile entrepreneurial inclination model by integrating experts mining and ISM-MICMAC. International Journal of Production Research. https://doi.org/10.1080/00207543.2018.1443523
AuthorsKapse, Chanduraj Pious, Kumar, Anil, Dash, Manoj Kumar, Zavadskas, Edmundas Kazimieras and Luthra, Sunil
Abstract

The 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.

KeywordsEnterprise Resources Planning (ERP); Textile industry; Strategy; Interpretive Structural Modelling (ISM); Institutional Policy
Year2018
JournalInternational Journal of Production Research
PublisherTaylor & Francis
ISSN0020-7543
1366-588X
Digital Object Identifier (DOI)https://doi.org/10.1080/00207543.2018.1443523
Web address (URL)http://hdl.handle.net/10545/623203
hdl:10545/623203
Publication dates05 Mar 2018
Publication process dates
Deposited08 Dec 2018, 11:06
Accepted19 Dec 2017
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Archived with thanks to International Journal of Production Research

ContributorsGovernment Polytechnic, Nagpur, India, BML Munjal University, Indian Institute of Information Technology and Management, Vilnius Gediminas Technical University, State Institute of Engineering & Technology,Nilokheri, India, Department of Textile Manufacturing, Government Polytechnic , Nagpur, India, School of Management, BML Munjal University , Gurgaon, India, Behavioural Economics Experiments & Analytics Laboratory, Indian Institute of Information Technology and Management, Gwalior, India, Faculty of Civil Engineering, Institute of Sustainable Construction, Vilnius Gediminas Technical University, Vilnius, Lithuania and State Institute of Engineering & Technology (Formerly known as Government Engineering College) , Nilokheri, India
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