供应链网络与信用质量信息共享的关系

Hakimi Haris
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摘要

目的——本文的目的是检验组织供应链网络和信息共享对信用质量的影响,或者更具体地说,是桥接关系(结构网络)还是强联系(关系网络)以及供应链中组织的信息共享能够提高信用质量的可得性。设计/方法/方法-在马来西亚的制造业进行了一项调查,并使用100份有效问卷来测试所有假设。然后采用偏最小二乘路径模型对数据进行分析。实际意义-尽管深入访谈补充了本研究中的调查,但尚未探讨复杂的供应链结构和融资过程。研究结果表明,强纽带、桥接纽带和信息共享对组织信用质量有正向影响,可进一步提升组织信用质量。原创性/价值-尽管它们在维持国民经济中起着至关重要的作用,但组织受到无风险融资的关键约束的困扰。基于调查,本研究发现影响组织信用质量的三个重要因素是:关注信息共享、桥梁纽带和供应链强纽带,这三个因素与组织信用质量的属性有关。本研究表明,组织更好地嵌入供应链网络可能具有融资优势,但根据供应链中信息不对称的约束条件,会产生不同的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship between Supply Chain Network and Information Sharing Toward Credit Quality
Purpose – The purpose of this paper is to examine the effect of organization supply chain network and information sharing on influencing credit quality, or more specifically, whether bridging tie (structural network) or strong tie (relational network) and information sharing of organizational in the supply chain can improve the availability of credit quality. Design/methodology/approach – A survey was conducted in manufacturing industry in Malaysia and 100 valid questionnaires were used to test all the hypotheses. The data were then analyzed by employing partial least squares path modeling. Practical implication - Although in-depth interviews complemented the survey in this study, the complex supply chain structure and financing processes have not been explored. Findings – The results suggest that strong tie, bridging tie and information sharing of organizational can lead to a positive effect on credit quality, which can further enhance the credit quality for organization. Originality/value – Despite their crucial role in sustaining national economies, organization are beset by the critical constraint of risk-free financing. Based on a survey, this research finds that the credit quality of organization is affected by three important factors: concerns information sharing, bridging ties and strong ties in supply chain that relates to the attributes of credit quality of organization. This study implies that a organization may have a financing advantage for better embedding in the supply chain network, but different effects will be experienced according to constraints associated with information asymmetry in the supply chain.
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