了解大数据分析能力和可持续供应链

IF 3 3区管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information Systems Management Pub Date : 2021-03-30 DOI:10.1080/10580530.2021.1900464

D. Cetindamar, B. Shdifat, Eila Erfani

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引用次数: 27

摘要

摘要本文介绍了文献中关于大数据分析能力（BDAC）和可持续供应链绩效（SSCP）的知识。对系统文献综述的详细分析指出，缺乏将这两个独立的工作流联系起来的研究。该论文为有兴趣了解大数据对可持续性影响的研究人员提出了一项研究议程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Understanding Big Data Analytics Capability and Sustainable Supply Chains

ABSTRACT This paper presents the knowledge available in the literature regarding big data analytics capability (BDAC) and sustainable supply chain performance (SSCP). A detailed analysis of systematic literature reviews points out the lack of studies bridging these two separate streams of work. The paper puts forward a research agenda for researchers interested in understanding the impact of big data on sustainability.

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来源期刊

Information Systems Management 工程技术-计算机：信息系统

CiteScore

14.60

自引率

1.60%

发文量

审稿时长

>12 weeks

期刊介绍： Information Systems Management (ISM) is the on-going exchange of academic research, best practices, and insights based on managerial experience. The journal’s goal is to advance the practice of information systems management through this exchange. To meet this goal, ISM features themed papers examining a particular topic. In addition to themed papers, the journal regularly publishes on the following topics in IS management. Achieving Strategic IT Alignment and Capabilities IT Governance CIO and IT Leadership Roles IT Sourcing Planning and Managing an Enterprise Infrastructure IT Security Selecting and Delivering Application Solutions Portfolio Management Managing Complex IT Projects E-Business Technologies Supporting Knowledge Work The target readership includes both academics and practitioners. Hence, submissions integrating research and practice, and providing implications for both, are encouraged.