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Information technology is an enabling factor affecting supply chain performance in Indian SMEs: A structural equation modelling approach

机译:信息技术是影响印度中小企业供应链绩效的推动因素:一种结构方程建模方法

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摘要

Purpose - The purpose of this paper is to identify the success factors for supply chain in Indian small-and medium-scale enterprises (SMEs) and establish a causal relationship among them. In the present scenario, the SMEs are under huge pressure to achieve the supply chain competitive advantage and to improve operation and logistic effectiveness and, at the same time, remain tractable to the demand uncertainty and volatility in the market. To enhance the performance of supply chain in SMEs, the managers need to identify the internal as well as the external factors that affect the supply chain performance of SMEs in India. They need to understand the causal relationship of these factors. Design/methodology/approach - There may be a number of factors that are critical for achieving acceptable supply chain performance, and these factors have been identified by principal component analysis (PCA). In all, 29 factors have been identified by using PCA and the dominating 29 factors are categorized into 6 constructs, and finally, the structural equation modelling (SEM) methodology using the AMOS 4.0 program has been adopted as the primary methodology for this paper to assess the causal relationship among six constructs. Findings - In this paper, the authors analyzed the structural relations among information technology (IT), logistic effectiveness, operational effectiveness, customer relationship, supplier relationship and SCM competitive advantage. Results indicate that IT holds the key to achieve the SCM competitive advantage in SCM practices of SMEs in India. Research limitations/implications - The proposed models for enabling factors are tested in firms with a limited numbers of factors in highly competitive environment. More factors may be incorporated, which will help for a clear understanding and establishing the causal relationship among the various enabling factors. Practical implications - Although managers of Indian SMEs are aware of various enabling factors, a systematic approach is required for identifying enabling factors, and as these factors may have complex interrelation between them for analyzing supply chain performance in SMEs, it is essential that such an approach is in place. The paper presented here will help the SMEs managers in identifying the areas in which they need to focus their attention to improve SCM practices. A structural equation modelling is developed to show the complex relationship between the factors that affect the performance. In addition to that, the proposed structural equation model acts as a good guideline to improve the performance of the supply chain in India. Originality/value - The paper provides a structural equation model to develop a map of the causal relationships and magnitude among identified enabling factors.
机译:目的-本文的目的是确定印度中小型企业(SME)供应链成功的因素,并建立它们之间的因果关系。在目前的情况下,中小型企业承受着巨大的压力,要获得供应链的竞争优势,并提高运营和物流效率,同时,对于市场的需求不确定性和动荡仍然保持着可控制的压力。为了提高中小型企业供应链的绩效,管理人员需要确定影响印度中小型企业供应链绩效的内部和外部因素。他们需要了解这些因素的因果关系。设计/方法/方法-可能有许多因素对于实现可接受的供应链绩效至关重要,这些因素已通过主成分分析(PCA)进行了识别。总共使用PCA识别了29个因素,并将主要的29个因素归类为6个结构,最后,采用AMOS 4.0程序的结构方程模型(SEM)方法被用作本文评估的主要方法六个构念之间的因果关系。调查结果-在本文中,作者分析了信息技术(IT),物流效率,运营效率,客户关系,供应商关系和供应链管理竞争优势之间的结构关系。结果表明,IT是在印度中小企业的SCM实践中实现SCM竞争优势的关键。研究的局限性/意义-在竞争激烈的环境中,具有有限数量因素的公司对提议的因素模型进行了测试。可以合并更多因素,这将有助于清晰地理解并建立各种促成因素之间的因果关系。实际意义-尽管印度中小企业的经理了解各种促成因素,但仍需要一种系统的方法来识别促成因素,并且由于这些因素之间可能存在复杂的相互关系以分析中小企业的供应链绩效,因此,这种方法至关重要到位。本文介绍的论文将帮助中小型企业管理者确定他们需要集中精力改进SCM实践的领域。开发了结构方程模型,以显示影响性能的因素之间的复杂关系。除此之外,建议的结构方程模型可作为改善印度供应链绩效的良好指南。独创性/价值-本文提供了一个结构方程模型,可以绘制出已确定的促成因素之间的因果关系和数量级图。

著录项

  • 来源
    《Journal of modelling in management》 |2016年第1期|269-287|共19页
  • 作者单位

    School of Mechanical Engineering, Kalinga Institite of Industrial Technology (KIIT), Bhubaneswar, India;

    Industrial Engineering Department, Pusan National University, Busan, South Korea;

    School of Mechanical Engineering, Kalinga Institite of Industrial Technology (KIIT), Bhubaneswar, India;

    Department of Industrial Engineering, Pusan National University, Busan, South Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Decision making; Data analysis; Modelling;

    机译:做决定;数据分析;造型;
  • 入库时间 2022-08-18 02:35:38

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