Purpose

This article examines the mechanisms through which big data analytics capabilities (BDAC) contribute to creating sustainable value and analyzes the mediating roles that supply chain management capabilities (SCMC), as well as circular economy practices (CEP), play through their impact on sustainable performance.

Design/methodology/approach

Following a literature review, a serial mediation model is presented. Hypotheses regarding direct and mediating relationships are tested to determine their potential for sustainability impact and circularity. Partial least squares structural equation modeling (PLS-SEM) has been applied for causal and predictive purposes.

Findings

The results indicate that big data analytics capabilities do not have a direct positive impact on sustainable performance but influence indirectly through SCMC and CEP.

Originality/value

Although some authors have addressed the associations between IT business value, supply chain (SC), and sustainability, this paper provides empirical evidence related to these relationships. Additionally, this study performs novel predictive analyses.

中文翻译：

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打开大数据可持续价值创造的黑匣子：供应链管理能力与循环经济实践的中介作用

目的

本文研究了大数据分析能力 (BDAC) 有助于创造可持续价值的机制，并分析了供应链管理能力 (SCMC) 以及循环经济实践 (CEP) 通过其对可持续绩效的影响所发挥的中介作用.

设计/方法/途径

在文献回顾之后，提出了一个连续的调解模型。测试关于直接和中介关系的假设以确定它们对可持续性影响和循环的潜力。偏最小二乘结构方程模型 (PLS-SEM) 已应用于因果关系和预测目的。

发现

结果表明，大数据分析能力对可持续绩效没有直接的积极影响，而是通过 SCMC 和 CEP 间接影响。

原创性/价值

尽管一些作者已经解决了 IT 业务价值、供应链 (SC) 和可持续性之间的关联，但本文提供了与这些关系相关的经验证据。此外，本研究还进行了新颖的预测分析。