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The big data-business strategy interconnection: a grand challenge for knowledge management. A review and future perspectives
Journal of Knowledge Management ( IF 6.6 ) Pub Date : 2020-06-03 , DOI: 10.1108/jkm-02-2020-0156
Francesco Ciampi , Giacomo Marzi , Stefano Demi , Monica Faraoni

Designing knowledge management (KM) systems capable of transforming big data into information characterised by strategic value is a major challenge faced nowadays by firms in almost all industries. However, in the managerial field, big data is now mainly used to support operational activities while its strategic potential is still largely unexploited. Based on these considerations, this study proposes an overview of the literature regarding the relationship between big data and business strategy.,A bibliographic coupling method is applied over a dataset of 128 peer-reviewed articles, published from 2013 (first year when articles regarding the big data-business strategy relationship were published) to 2019. Thereafter, a systematic literature review is presented on 116 papers, which were found to be interconnected based on the VOSviewer algorithm.,This study discovers the existence of four thematic clusters. Three of the clusters relate to the following topics: big data and supply chain strategy; big data, personalisation and co-creation strategies and big data, strategic planning and strategic value creation. The fourth cluster concerns the relationship between big data and KM and represents a ‘bridge’ between the other three clusters.,Based on the bibliometric analysis and the systematic literature review, this study identifies relevant understudied topics and research gaps, which are suggested as future research directions.,This is the first study to systematise and discuss the literature concerning the relationship between big data and firm strategy.

中文翻译:

大数据与业务战略的互联:知识管理的巨大挑战。回顾与未来展望

设计能够将大数据转换为具有战略价值特征的信息的知识管理(KM)系统是当今几乎所有行业的公司都面临的主要挑战。但是,在管理领域,大数据现在主要用于支持业务活动,而其战略潜力仍在很大程度上未被开发。基于这些考虑,本研究提出了有关大数据与业务战略之间关系的文献综述。书目耦合方法被应用于2013年(第一年有关大数据与业务战略的关系已发布到2019年。此后,系统地对116篇论文进行了文献综述,这些论文被发现基于VOSviewer算法而相互关联。这项研究发现了四个主题集群的存在。其中三个集群涉及以下主题:大数据和供应链战略;大数据,个性化和共创战略以及大数据,战略规划和战略价值创造。第四类涉及大数据与知识管理之间的关系,代表着其他三个类之间的“桥梁”。基于文献计量分析和系统的文献综述,本研究确定了相关的未被充分研究的主题和研究空白,建议作为未来研究研究方向。这是第一个系统化和讨论有关大数据与公司战略之间关系的文献的研究。大数据和供应链战略;大数据,个性化和共创战略以及大数据,战略规划和战略价值创造。第四类涉及大数据与知识管理之间的关系,代表着其他三个类之间的“桥梁”。基于文献计量分析和系统的文献综述,本研究确定了相关的未被充分研究的主题和研究空白,建议作为未来研究研究方向。这是第一个系统化和讨论有关大数据与公司战略之间关系的文献的研究。大数据和供应链战略;大数据,个性化和共创战略以及大数据,战略规划和战略价值创造。第四类涉及大数据与知识管理之间的关系,代表着其他三个类之间的“桥梁”。基于文献计量分析和系统的文献综述,本研究确定了相关的未被充分研究的主题和研究空白,建议作为未来研究研究方向。这是第一个系统化和讨论有关大数据与公司战略之间关系的文献的研究。
更新日期:2020-06-03
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