Examining the relationships between big data analytics capability, entrepreneurial orientation and sustainable supply chain performance: moderating role of trust

IF 4.5 Q1 MANAGEMENT

Benchmarking-An International Journal Pub Date : 2023-10-23 DOI:10.1108/bij-04-2023-0206

Syed Awais Ahmad Tipu, Kamel Fantazy

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引用次数: 0

Abstract

Purpose Using a dynamic capability view, this study examined the relationships between big data analytics capability (BDAC), entrepreneurial orientation (EO) and sustainable supply chain performance (SSCP) by exploring the moderating role of trust among supply chain partners. Design/methodology/approach Questionnaires were collected from 300 manufacturing organizations using snow sampling. The moderating connections and direct relationships were examined using Hays' process macro and structural equation modeling. Findings BDAC was positively related to EO and SSCP. When supply chain partners experienced low levels of trust, an increase in BDAC did not enhance SSCP. As trust increased, the relationship between BDAC and SSCP became more positive, underpinning the moderating effects of trust. Moreover, trust did not moderate the relationship between BDAC and EO. The moderating effect of trust on the relationship between EO and SSCP showed a positive relationship between EO and SSCP when trust was low; however, the relationship became negative when trust was high. Practical implications Developing technology alone may not be sufficient, as supply chain managers need to establish a strong business relationship based on mutual trust. However, they also need to be aware of the dangers of high levels of trust because these may negatively affect performance. Therefore, supply chain managers need to achieve an optimal level of trust that is neither excessive nor insufficient. Originality/value Advances in technology and entrepreneurial drive for supply chain sustainability make it pertinent to examine trust levels among supply chain partners and the varying impact on BDAC, EO and SSCP. The current study shows the negative aspects of too much trust among supply chain partners.

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考察大数据分析能力、创业导向和可持续供应链绩效之间的关系:信任的调节作用

本研究采用动态能力视角，通过探讨供应链合作伙伴信任的调节作用，考察大数据分析能力(BDAC)、创业导向(EO)和可持续供应链绩效(SSCP)之间的关系。设计/方法/方法采用雪样法从300家制造业组织中收集问卷。采用Hays过程宏观模型和结构方程模型考察了调节联系和直接关系。结果BDAC与EO、SSCP呈正相关。当供应链合作伙伴经历低水平的信任时，BDAC的增加并没有增强SSCP。随着信任的增加，BDAC和SSCP之间的关系变得更加正向，支持信任的调节作用。此外，信任对BDAC和绩效之间的关系没有调节作用。信任对主观行为与SSCP关系的调节作用显示，当信任水平较低时，主观行为与SSCP呈正相关;然而，当信任度高的时候，这种关系就变成了负相关。仅仅开发技术可能是不够的，因为供应链管理人员需要在相互信任的基础上建立牢固的业务关系。然而，他们也需要意识到高度信任的危险，因为这可能会对绩效产生负面影响。因此，供应链管理者需要达到既不过度也不不足的最佳信任水平。创新/价值技术的进步和企业对供应链可持续性的驱动使得研究供应链合作伙伴之间的信任水平以及对BDAC、EO和SSCP的不同影响至关重要。目前的研究显示了供应链合作伙伴之间过度信任的负面影响。

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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来源期刊

Benchmarking-An International Journal MANAGEMENT-

CiteScore

10.40

自引率

16.10%

发文量

154

期刊介绍： Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.