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  • 标题:Symetric Network Member of Interest to Improve Performance of Supply Chain Environment Role Adaptability, and Benefits Information Technology (Empirical Study on Textile SMEs in Banten Province)
  • 本地全文:下载
  • 作者:Moh . Mukhsin
  • 期刊名称:European Journal of Business and Management
  • 印刷版ISSN:2222-2839
  • 电子版ISSN:2222-2839
  • 出版年度:2014
  • 卷号:6
  • 期号:18
  • 页码:140-147
  • 语种:English
  • 出版社:The International Institute for Science, Technology and Education (IISTE)
  • 摘要:The research of actual conditions of Model Development Network Members Theoritical Symmetric Interests to Improve of Performance Supply Chain have made ??Banten had been conducted. The goal of this study were is to provide vital inputs related to the understanding of member interests Symmetric network with supply chain performance in Textile SMEs in Banten Province . While the specific objective of this study was to determine what variables have a significant influence on the performance of the supply chain in a way : exploring symmetric network members' interests to the principles of supply chain management by verifying certain propositions provide a model of planning and supply chain performance improvement sukeses in Textile SMEs in Banten Province . The study was conducted on entrepreneurs , Small and Medium Enterprises ( SMEs ) Textiles in Banten Province . to the manager of marketing, sales , production , and purchasing a number of SMEs in the Textile Banten Province company as much as 175 samples . Further testing of the entire hypothesis in this analysis using multivariate analysis techniques with methods of dependencies . Dependency method used is a multivariate analysis technique Structural Equational Modelling ( SEM ) . Testing five hypothesis proposed in the study based on the value of Critical Ratio (CR) causality. The results of the calculation of the goodness of fit criteria in the program show that AMOS 18 confirmatory analysis and Structural Equation Modeling in this study can be accepted as a model fit to the value of Chi-Square = 26.017, Probability = 0.300, REMSEA = 0.036, GFI = 0.945, AGFI = 0.893, CMIN / DF = 1.131, TLI = 0.961, and CFI = 0.975. Based model fit can be tested against five hypotheses proposed in this study Hypotheses developed in the empirical model is as follows.
  • 关键词:Symmetric interests of members of the network ; environment adaptability; the advantages of information technology and supply chain performance .
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