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Competitiveness of Electronics manufacturing industry in India: an ISM-fuzzy MICMAC and AHP approach

机译：印度电子制造业的竞争力：一种基于ISM的MICMAC和AHP方法

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Purpose - The purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and apply the interpretive structural modeling, fuzzy Matriced' Impacts Croises Multiplication Appliquee a UN Classement (i.e. the cross-impact matrix multiplication applied to classification; MICMAC) and analytic hierarchy process (AHP) approaches. These factors have been explained with respect to managerial and government policymakers' standpoint in Indian context. Design/methodology/approach - This study presents a hierarchy and weight-based model that demonstrates mutual relationships among the significant factors of competitiveness of the Indian EMI. Findings - This study covers a wide variety of factors that form the bedrock of the competitiveness of the EMI. Interpretive structural modeling and fuzzy MICMAC are used to cluster the influential factors of competitiveness considering the driving and dependence power. AHP is used to rank the factors on the basis of weights. Results show that the "government role" and "foreign exchange market" have a significantly high driving power. On the other hand, the "capital resource availability" and "productivity measures" come at the top of the interpretive structural modeling hierarchy, implying high dependence power. Research limitations/implications - The study has strong practical implications for both the manufacturers and the policymakers. The manufacturers need to focus on the factors of competitiveness to improve performance; and at the same time; the government should come forward to build a suitable environment for business in light of the huge demand and frame suitable policies. Practical implications - The lackluster performance of the industry is because of the existing electronics policies and environmental conditions. The proposed interpretive structural modeling and fuzzy MICMAC and AHP frameworks suggest a better understanding of the key factors and their mutual relationship to analyze competitiveness of the electronics manufacturing industry in view of the Indian Government's "Make in India"initiatives. Originality/value - This paper contributes to the industry level competitiveness and dynamics of multi-factors approach and utilize the ISM-fuzzy MICMAC and AHP management decision tool in the identification and ranking of factors that influence the competitiveness of the EMI in the country.
机译：目的-本文的目的是确定并建立影响电子制造业（EMI）行业水平的因素的层次结构，并应用解释性的结构模型，即模糊矩阵式的影响Croises乘法应用联合国分类（即交叉影响矩阵乘法应用于分类； MICMAC）和层次分析法（AHP）方法。在印度背景下，已经针对管理和政府决策者的立场对这些因素进行了解释。设计/方法/方法-这项研究提出了一种基于等级和权重的模型，该模型演示了印度EMI竞争的重要因素之间的相互关系。调查结果-这项研究涵盖了构成EMI竞争基础的各种因素。解释性结构建模和模糊MICMAC用于考虑驱动力和依赖力来聚类竞争力的影响因素。 AHP用于基于权重对因素进行排名。结果表明，“政府角色”和“外汇市场”具有明显较高的驱动力。另一方面，“资本资源的可利用性”和“生产力措施”位于解释性结构建模层次结构的顶部，这意味着具有高依赖性。研究的局限性/意义-该研究对制造商和决策者都有很强的实际意义。制造商需要关注竞争因素以提高性能；同时政府应根据巨大的需求挺身而出，为企业建立合适的环境，并制定合适的政策。实际影响-行业的低迷表现是由于现有的电子政策和环境条件。拟议的解释性结构建模以及模糊的MICMAC和AHP框架建议根据印度政府的“印度制造”倡议，更好地理解关键因素及其相互关系，以分析电子制造业的竞争力。原创性/价值-本文有助于提高工业水平的竞争力和多因素方法的动力学性，并利用ISM模糊MICMAC和AHP管理决策工具来识别和排名影响该国家EMI竞争力的因素。

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