Purpose

Drawing on the dynamic capability view, this study aims to examine the relationships between big data analytics capability (BDAC) and sustainable supply chain performance (SSCP) by exploring the mediating effects of knowledge development (KD) in terms of knowledge acquisition, information distribution, shared meaning and achieved memory.

Design/methodology/approach

Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling was used to test the research hypotheses.

Findings

It was found that all the dimensions of KD were positively related to BDAC and SSCP. Although no direct association was established between BDAC and SSCP, the empirical findings indicated that all the dimensions of KD fully mediated the relationship between BDAC and SSCP. This highlights that organizations need to harness KD because developing BDAC alone may not be sufficient.

Originality/value

No previous research has explored how KD dimensions such as knowledge acquisition, information distribution, shared meaning and achieved memory mediate the relationship between BDAC and SSCP. This paper addresses this gap in the literature and contributes to the existing debate to better understand the conditions in which BDAC affects SSCP. Pointers for future research are also identified.

中文翻译：

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将大数据分析能力与可持续供应链绩效联系起来：知识开发的中介作用

目的

本研究借鉴动态能力观，旨在通过探索知识开发（KD）在知识获取、信息分发、共享意义并获得记忆。

设计/方法论/途径

通过问卷调查的方式收集了 300 个制造组织的数据。结构方程模型用于检验研究假设。

发现

结果发现，KD的所有维度都与BDAC和SSCP呈正相关。尽管BDAC和SSCP之间没有建立直接关联，但实证研究结果表明KD的所有维度都充分调节了BDAC和SSCP之间的关系。这凸显了组织需要利用 KD，因为仅开发 BDAC 可能还不够。

原创性/价值

之前没有研究探讨知识获取、信息分布、共享意义和实现记忆等 KD 维度如何调节 BDAC 和 SSCP 之间的关系。本文解决了文献中的这一空白，并为现有的争论做出了贡献，以更好地理解 BDAC 影响 SSCP 的条件。还确定了未来研究的方向。