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A note on big data analytics capability development in supply chain

机译:供应链中大数据分析能力开发的注意事项

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Big data analytics (BDA) are gaining importance in all aspects of business management. This is driven by both the presence of large-scale data and management's desire to root decisions in data. Extant research demonstrates that supply chain and operations management functions are among the biggest sources and users of data in the company. Therefore, their decision-making processes would benefit from increased use of BDA technologies. However, there is still a lack of understanding of what determines a company's ability to build BDA capability to gain a competitive advantage. In this study, we attempt to answer this fundamental question by identifying the factors that assist a company in or inhibit it from building its BDA capability and maximizing its gains through BDA technologies. We base our findings on a qualitative analysis of data collected from field visits, interviews with senior management, and secondary resources. We find that, in addition to technical capacity, competitive landscape and infra-firm power dynamics play an important role in building BDA capability and using BDA technologies.
机译:大数据分析(BDA)在业务管理的所有方面都取得了重要性。这是由大规模数据和管理欲望数据中的数据决策的存在驱动。现存研究表明,供应链和运营管理功能是公司中数据最大的来源和用户之一。因此,他们的决策过程将受益于增加BDA技术的使用。然而,仍然缺乏对决定公司建立BDA能力来获得竞争优势的能力的理解。在这项研究中,我们试图通过识别协助公司的因素或抑制其BDA能力并通过BDA技术最大限度地提高其收益来回答这一基本问题。我们基于从实地访问,与高级管理层的访谈和二级资源收集的数据进行定性分析的调查结果。我们发现,除技术能力外,竞争风景和红外线动力动力学在建立BDA能力和使用BDA技术方面发挥着重要作用。

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