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首页> 外文期刊>Procedia - Social and Behavioral Sciences >Enablers for Competitiveness of Indian Manufacturing Sector: An ISM-Fuzzy MICMAC Analysis
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Enablers for Competitiveness of Indian Manufacturing Sector: An ISM-Fuzzy MICMAC Analysis

机译：印度制造业竞争力的推动力：ISM模糊MICMAC分析

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Now a days global competitive scenario plays a critical role in success of Indian manufacturing sector. The present study argues that innovation can play a very important role in providing this competitiveness of Indian manufacturing sector. The study identifies 11 enablers for promotion of innovation in the Indian manufacturing sector. Based on the rigorous literature review 11 major innovation enablers (IEs) are obtained. The Delphi technique is applied as a potentially valuable tool for the grouping these enablers. The study, analyse the impact of innovation enablers (IEs) to enhance the manufacturing competitiveness and categories into three phases firstly, identification of innovation enablers, secondly, qualitative analysis of enablers and final quantitative analysis of the innovation enablers. The research theme has been categories into three segments, i.e. identifying the enablers from the literature, conduct interviews with directors of different departments and analysis of the manufacturing industries. The study involves 100 manufacturing companies across India and the data is gathered using a 5-point Likert scale. Interpretive Structural Modeling (ISM) has been used to analyse the relationships among these enablers as well as fuzzy MICMAC (Matriced’ Impacts Croise's Multiplication Applique?e a UN Classement) analysis used to find out driving and the dependence power of enablers. To identify the driving and the dependence power of various IEs the final outcomes of ISM are used as input to the fuzzy MICMAC analysis. This analysis serves to identify which (IEs) is performing as the most leading one to raise the competitiveness of manufacturing industries. This study plays a vital role to enhance the competitiveness of manufacturing industries in India.
机译：如今，全球竞争形势对印度制造业的成功至关重要。本研究认为，创新在提高印度制造业的竞争力方面可以发挥非常重要的作用。该研究确定了11个促进印度制造业创新的推动力。根据严格的文献综述，获得了11个主要的创新推动力（IE）。 Delphi技术被用作对这些促成因素进行分组的潜在有价值的工具。本研究从三个方面分析了创新推动因素（IEs）对提高制造业竞争力和类别的影响，首先是创新推动因素的识别，其次是定性分析，最后是创新推动因素的定量分析。研究主题分为三个部分，即从文献中确定促成因素，与不同部门的负责人进行访谈以及对制造业进行分析。该研究涉及印度各地的100家制造公司，并使用5点Likert量表来收集数据。解释性结构建模（ISM）已用于分析这些促成因素之间的关系，以及用于确定促动因素和促成因素的依赖性的模糊MICMAC（矩阵式影响Croise乘法应用联合国分类）分析。为了确定各种IE的驱动力和依赖性，将ISM的最终结果用作模糊MICMAC分析的输入。这项分析有助于确定哪些（IE）在提高制造业竞争力方面表现最出色。这项研究对于提高印度制造业的竞争力起着至关重要的作用。

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