Purpose

The purpose of this paper is to develop a theoretical model that explains the impact of big data analytics capabilities (BDAC) on company's supply chain innovation capabilities and sustainable supply chain performance. BDAC is represented through two dimensions of big data technological capabilities (BDTC) and big data personal capabilities (BDPC). Moreover, the relationships between BDTC and BDPC with sustainable supply chain performance through the mediation effect of supply chain innovation capabilities are examined.

Design/methodology/approach

The study used a quantitative research approach. A survey of 400 Jordanian manufacturing companies was carried out to conduct this research. However, the responses of 207 managers were valid to be used in the analysis. In this study, the SmartPLS software was used to perform structural equation modeling using a partial least squares approach (PLS-SEM) and to examine the measurement and structural model's validity and reliability.

Findings

According to the results of this study, BDPC has a significant positive impact on supply chain innovation capabilities. Furthermore, the findings indicate that supply chain innovation capabilities are the most influential predictor of sustainable supply chain performance and act as a positive significant mediator in the relationship between BDPC and firm sustainable performance. Surprisingly, the study found that BDTC had no significant effect on supply chain innovation capabilities. Besides that, no significant relationship exists between BDTC and firm sustainable performance via the mediation effect of supply chain innovation capabilities.

Originality/value

This study provides an integrated research model that incorporates BDAC, supply chain innovation capabilities, and sustainable supply chain performance in order to analyze supply chain innovation and sustainable supply chain performance. This suggests that the scope of the study is broader in terms of predicting sustainable supply chain performance. As a result, the study intends to fill a gap in the literature by explaining how BDAC affects supply chain innovation capabilities and firms sustainable performance. In addition, the role of supply chain innovation capabilities as a mediator between BDAC and sustainable supply chain performance is investigated.

中文翻译：

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大数据技术和个人能力对约旦制造企业可持续绩效的影响：创新的中介作用

目的

本文的目的是开发一个理论模型来解释大数据分析能力（BDAC）对公司供应链创新能力和可持续供应链绩效的影响。 BDAC通过大数据技术能力（BDTC）和大数据个人能力（BDPC）两个维度来表征。此外，通过供应链创新能力的中介作用，检验了BDTC和BDPC与可持续供应链绩效之间的关系。

设计/方法论/途径

该研究采用了定量研究方法。为了开展这项研究，我们对 400 家约旦制造公司进行了调查。然而，207 名经理的回答对于用于分析是有效的。在本研究中，SmartPLS 软件用于使用偏最小二乘法 (PLS-SEM) 进行结构方程建模，并检查测量和结构模型的有效性和可靠性。

发现

本研究结果显示，BDPC对供应链创新能力具有显着的正向影响。此外，研究结果表明，供应链创新能力是可持续供应链绩效最有影响力的预测因素，并且在 BDPC 与企业可持续绩效之间的关系中发挥着积极的重要中介作用。令人惊讶的是，研究发现BDTC对供应链创新能力没有显着影响。除此之外，BDTC与企业可持续绩效之间不存在通过供应链创新能力的中介作用的显着关系。

原创性/价值

本研究提供了一个整合BDAC、供应链创新能力和可持续供应链绩效的综合研究模型，以分析供应链创新和可持续供应链绩效。这表明该研究在预测可持续供应链绩效方面的范围更广泛。因此，该研究旨在通过解释 BDAC 如何影响供应链创新能力和企业可持续绩效来填补文献空白。此外，还研究了供应链创新能力作为 BDAC 和可持续供应链绩效之间中介的作用。