Effect of Big Data Analytics in Reverse Supply Chain: An Indian Context

IF 0.9 Q4 MANAGEMENT

International Journal of Information Systems and Supply Chain Management Pub Date : 2022-01-01 DOI:10.4018/ijisscm.287128

Ajay Behera, Sasmita Mohapatra, Rabindra Mahapatra, H. Das

引用次数: 1

Abstract

The main purpose of this paper is to know about the recent status of big data analytics (BDA) on various manufacturing and reverse supply chain levels (RSCL) in Indian industries. In particular, it emphasises on understanding of BDA concept in Indian industries and proposes a structure to examine industries’ development in executing BDA extends in reverse supply chain management (RSCM). A survey was conducted through questionnaires on RSCM levels of 330 industries. Of the 330 surveys that were mailed, 125 completed surveys were returned, corresponding to a response rate of 37.87 percent, which was slightly greater than previous studies (Queiroz and Telles, 2018).The information of Indian industries with respect to BDA, the hurdles with boundaries to BDA-venture reception, and the connection with reverse supply chain levels and BDA learning were recognized.

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大数据分析在逆向供应链中的作用:印度背景

本文的主要目的是了解印度工业中各种制造和逆向供应链水平(RSCL)的大数据分析(BDA)的最新状况。特别地，它强调了对印度工业中BDA概念的理解，并提出了一个结构来检查工业在执行BDA扩展在逆向供应链管理(RSCM)中的发展。通过问卷调查330个行业的RSCM水平。在邮寄的330份调查中，有125份已完成的调查被退回，对应的回复率为37.87%，略高于之前的研究(奎罗兹和泰勒斯，2018)。认识到印度行业在BDA方面的信息、BDA风险接收的边界障碍以及与逆向供应链层次和BDA学习的联系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Information Systems and Supply Chain Management MANAGEMENT-

CiteScore

1.90

自引率

43.80%

发文量

期刊介绍： The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.