信息共享、伙伴关系和协作对供应链绩效的影响

Q3 Engineering

Advances in Systems Science and Applications Pub Date : 2019-09-29 DOI:10.25728/ASSA.2019.19.3.689

Alfredo Tutuhatunewa, S. Surachman, P. B. Santoso, I. Santoso

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引用次数: 2

摘要

供应链在企业组织发展中发挥着重要作用，以获得竞争优势。供应链研究仍在继续，主要是为了提高供应链绩效。许多文献都写到了信息共享、伙伴关系过程和协作在提高供应链绩效方面的作用。本研究旨在探讨信息共享、供应链伙伴关系和协作对中小企业供应链绩效的影响。研究对象是印度尼西亚东爪哇的苹果农业。采用偏最小二乘法（PLS）进行分析。研究结果表明，信息共享对供应链协作只有间接影响。信息共享对中小企业供应链绩效的间接影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Influence of Information Sharing, Partnership, and Collaboration on Supply Chain Performance

Supply chain plays an important role in the development of business organizations to achieve competitive advantage. Supply chain studies are continuing mainly to improve supply chain performance. Many of the literature write about the role of information sharing, partnership processes and collaboration in improving the performance of the supply chain. This research was conducted to find the relationship and influence of information sharing, supply chain partnership, and collaboration on supply chain performance on SMEs. The object of research is apple agroindustry, in East Java, Indonesia. The analysis was conducted with Partial Least Square (PLS). The results indicate only an indirect effect of information sharing on supply chain collaboration. Also, indirect effect of information sharing on supply chain performance of SMEs.

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来源期刊

Advances in Systems Science and Applications Engineering-Engineering (all)

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.