Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations

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

Information Systems Management Pub Date : 2021-12-15 DOI:10.1080/10580530.2022.2011124

C. Olszak, J. Zurada, D. Cetindamar

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引用次数: 1

Abstract

Again, the main objective of this Special Issue (SI) is to provide organizations with a theoretical, conceptual, and applied grounded discussion of Business Intelligence and Big Data (BI & BD) to aid in innovative and sustainable development and effective decisionmaking. In total, this SI of Information Systems Management constitutes eight papers, six of which appeared volume 38 issue 4. The remaining two articles appear in this issue. Initially, papers were presented at HICSS and invited by the special issue editors for the special issue. The theme shifts toward sustainability in the last two articles of the SI. The seventh article’s title exposes straightforward its intent: “Knowledge and Innovation Management to Support Supply Chain Innovation and Sustainability Practices.” In their article, Danny Samson and Marianne Gloet extend exploratory research on the contribution of knowledge and innovation management (KIM) to innovation and sustainability activities. The article presents findings from several small to medium-sized Australian food and beverage exporters as part of a longitudinal research study. The final paper of the SI is written by Dilek Cetindamar, Baraah Shdifat, and Eila Erfani and is entitled “Understanding Big Data Analytics Capability and Sustainable Supply Chains.” The article presents the knowledge available in the literature regarding big data analytics capability (BDAC) and sustainable supply chain performance (SSCP). The authors then point out the gaps in the literature and offer a few areas for future studies. Again, we hope you find a wide range of topics in this SI, focusing on the theme of Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations, to be current and informative.

查看原文本刊更多论文

商业智能和大数据促进组织创新和可持续发展

同样，本期特刊（SI）的主要目标是为组织提供商业智能和大数据（BI&BD）的理论、概念和应用基础讨论，以帮助创新和可持续发展以及有效决策。本信息系统管理SI共有八篇论文，其中六篇出现在第38卷第4期。剩下的两篇文章出现在本期。最初，论文在HICSS上发表，并受到特刊编辑的邀请。在SI的最后两篇文章中，主题转向了可持续性。第七篇文章的标题直截了当地揭示了其意图：“支持供应链创新和可持续性实践的知识和创新管理。”在他们的文章中，Danny Samson和Marianne Gloet对知识和创新管理（KIM）对创新和可持续发展活动的贡献进行了探索性研究。作为纵向研究的一部分，本文介绍了澳大利亚几家中小型食品和饮料出口商的研究结果。SI的最后一篇论文由Dilek Cetindamar、Baraah Shdifat和Eila Erfani撰写，题为“理解大数据分析能力和可持续供应链”。文章介绍了文献中关于大数据分析功能（BDAC）和可持续供应链路性能（SSCP）的知识。然后，作者指出了文献中的空白，并为未来的研究提供了一些领域。同样，我们希望您能在本SI中找到广泛的主题，重点是商业智能和大数据促进组织创新和可持续发展的主题，使其与时俱进，内容丰富。

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

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.