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

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    Authors
    Kapse, Chanduraj Pious
    Kumar, Anil
    Dash, Manoj Kumar
    Zavadskas, Edmundas Kazimieras
    Luthra, Sunil cc
    Affiliation
    Government Polytechnic, Nagpur, India
    BML 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
    
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    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.
    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: 10.1080/00207543.2018.1443523
    Publisher
    Taylor and Francis
    Journal
    International Journal of Production Research
    URI
    http://hdl.handle.net/10545/623203
    DOI
    10.1080/00207543.2018.1443523
    Additional Links
    https://www.tandfonline.com/doi/full/10.1080/00207543.2018.1443523
    Type
    Article
    Language
    en
    ISSN
    0020-7543
    1366-588X
    ae974a485f413a2113503eed53cd6c53
    10.1080/00207543.2018.1443523
    Scopus Count
    Collections
    Centre for Supply Chain Improvement

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