Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains

被引：151

作者：

Raut, Rakesh D. ^{[1
]}

Mangla, Sachin Kumar ^{[2
]}

Narwane, Vaibhav S. ^{[3
]}

Dora, Manoj ^{[4
]}

Liu, Mengqi ^{[5
]}

机构：

[1] Natl Inst Ind Engn NITIE, NITIE, Dept Operat & Supply Chain Management, Mumbai 400087, Maharashtra, India

[2] Univ Plymouth, Plymouth Business Sch, Knowledge Management & Business Decis Making, Plymouth PL4 8AA, Devon, England

[3] KJ Somaiya Coll Engn, Dept Mech Engn, Mumbai 400077, Maharashtra, India

[4] Brunel Univ London, Brunel Business Sch, Operat & Supply Chain Management, Uxbridge, Middx, England

[5] Hunan Univ, Business Sch, Changsha, Peoples R China

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2021年 / 145卷

关键词：

Big data analytics; Manufacturing firms; Supply chain and logistics management; LARG; Business performance and innovation; Sustainability; PREDICTIVE ANALYTICS; FIRM PERFORMANCE; COLLABORATIVE PERFORMANCE; OPTIMIZATION MODEL; DATA SCIENCE; MANAGEMENT; IMPACT; CAPABILITY; STRATEGY; TIME;

D O I：

10.1016/j.tre.2020.102170

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not been explored much in the literature. This study investigates the role of 'Big Data Analytics' (BDA) as a mediator between 'sustainable supply chain business performance' and key factors, namely, lean practices, social practices, environmental practices, organisational practices, supply chain practices, financial practices, and total quality management. A sample of 297 responses from thirtyseven Indian manufacturing firms was collected. The paper is beneficial for managers and practitioners to understand supply chain analytics, and it addresses challenges in the management of LARG practices to contribute to a sustainable supply chain.

引用

页数：25

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