The emergence of “big data” offers organizations unprecedented opportunities to gain and maintain competitive advantage. Trying to exploit the strategic business potential embedded in big data, many organizations have started to renovate their business models or develop new ones, giving rise to the phenomenon of big-data business models. Although big-data business model research is still in its infancy, a significant number of studies on the topic have been published since 2014. We thus suggest it is time to perform a critical review and assessment of the literature at the intersection of business models and big data (analytics), thereby responding to recent calls for further research on and sustained analysis of big-data business models. In particular, our review uses three major criteria (big-data business model types, dimensions, and deployment) to assess the state of the big-data business model literature and identify shortcomings in this literature. On this basis, we derive and discuss five central research perspectives (supply chain, stakeholder, ethics, national, and process), providing guidance for future research and theory development in the area. These perspectives also have practical implications on how to address the current big-data business model deployment gap.

中文翻译：

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大数据商业模式：批判性文献综述和多视角研究框架

“大数据”的出现为组织提供了获得和保持竞争优势的前所未有的机会。为了挖掘大数据中蕴含的战略商业潜力，许多组织已经开始更新他们的商业模式或开发新的商业模式，从而产生了大数据商业模式的现象。尽管大数据商业模式研究仍处于起步阶段，但自 2014 年以来已经发表了大量关于该主题的研究。因此，我们建议是时候对商业模式和商业模式交叉领域的文献进行批判性审查和评估了。大数据（分析），从而响应最近对大数据商业模式进行进一步研究和持续分析的呼吁。特别是，我们的审查使用了三个主要标准（大数据商业模式类型、维度、和部署）来评估大数据商业模式文献的状态并找出这些文献中的缺点。在此基础上，我们推导出并讨论五个中心研究视角（供应链、利益相关者、伦理、国家和过程），为该领域未来的研究和理论发展提供指导。这些观点对于如何解决当前的大数据商业模式部署差距也具有实际意义。