调解
大数据
持续性
结构方程建模
供应链
供应链管理
分析
独创性
价值(数学)
业务
偏最小二乘回归
可持续经营
经验证据
商业价值
知识管理
实证研究
可持续价值
产业组织
过程管理
营销
计算机科学
经济
数据科学
微观经济学
心理学
数据挖掘
社会学
生物
社会科学
哲学
生态学
社会心理学
创造力
利润(经济学)
认识论
机器学习
作者
Randy Riggs,José L. Roldán,Juan C. Real,Carmen M. Felipe
标识
DOI:10.1108/ijpdlm-03-2022-0098
摘要
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.
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