Developing textile entrepreneurial inclination model by integrating experts mining and ISM-MICMAC
Authors
Kapse, Chanduraj PiousKumar, Anil
Dash, Manoj Kumar
Zavadskas, Edmundas Kazimieras
Luthra, Sunil

Affiliation
Government Polytechnic, Nagpur, IndiaBML Munjal University
Indian Institute of Information Technology and Management
Vilnius Gediminas Technical University
State Institute of Engineering & Technology,Nilokheri, India
Issue Date
2018-03-05
Metadata
Show full item recordAbstract
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.Citation
Kapse, 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: 10.1080/00207543.2018.1443523Publisher
Taylor and FrancisJournal
International Journal of Production ResearchDOI
10.1080/00207543.2018.1443523Additional Links
https://www.tandfonline.com/doi/full/10.1080/00207543.2018.1443523Type
ArticleLanguage
enISSN
0020-75431366-588X
ae974a485f413a2113503eed53cd6c53
10.1080/00207543.2018.1443523