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Data supply chain (DSC): research synthesis and future directions

机译:数据供应链(DSC):研究综合和未来方向

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摘要

In the digital economy, the volume, variety and availability of data produced in myriad forms from a diversity of sources has become an important resource for competitive advantage, innovation opportunity as well as source of new management challenges. Building on the theoretical and empirical foundations of the traditional manufacturing Supply Chain (SC), which describes the flow of physical artefacts as raw materials through to consumption, we propose the Data Supply Chain (DSC) along which data are the primary artefact flowing. The purpose of this paper is to outline the characteristics and bring conceptual distinctiveness to the context around DSC as well as to explore the associated and emergent management challenges and innovation opportunities. To achieve this, we adopt the systematic review methodology drawing on the operations management and supply chain literature and, in particular, taking a framework synthetic approach which allows us to build the DSC concept from the pre-existing SC template. We conclude the paper by developing a set of propositions and outlining an agenda for future research that the DSC concept implies.
机译:在数字经济中,从多种来源以各种形式生成的数据的数量,种类和可用性已成为获取竞争优势,创新机会以及新的管理挑战的重要资源。在传统制造业供应链(SC)的理论和经验基础上,它描述了从原材料到消费的物理人工制品的流动,我们提出了数据供应链(DSC),数据是主要的人工制品流动。本文的目的是概述DSC的特征并将概念独特性带入DSC的周围环境,并探索相关的和紧急的管理挑战以及创新机会。为实现这一目标,我们采用了基于运营管理和供应链文献的系统评价方法,尤其是采用了一种框架综合方法,该方法使我们能够从现有的SC模板中构建DSC概念。我们通过提出一系列主张并概述DSC概念所隐含的未来研究议程来结束本文。

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