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Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda
International Journal of Information Management ( IF 21.0 ) Pub Date : 2021-03-20 , DOI: 10.1016/j.ijinfomgt.2021.102347
Stefano Bresciani , Francesco Ciampi , Francesco Meli , Alberto Ferraris

This is the first systematic literature review concerning the interconnections between big data (BD) and co-innovation. It uses BD as a common perspective of analysis as well as a concept aggregating different research streams (open innovation, co-creation and collaborative innovation). The review is based on the results of a bibliographic coupling analysis performed with 51 peer-reviewed papers published before the end of 2019. Three thematic clusters were discovered, which respectively focused on BD as a knowledge creation enabler within co-innovation contexts, BD as a driver of co-innovation processes based on customer engagement, and the impact of BD on co-innovation within service ecosystems. The paper theoretically argues that the use of BD, in addition to enhancing intentional and direct collaborative innovation processes, allows the development of passive and unintentional co-innovation that can be implemented through indirect relationships between the collaborative actors. This study also makes eleven unique research propositions concerning further theoretical developments and managerial implementations in the field of BD-driven co-innovation.



中文翻译:

将大数据用于联合创新过程:绘制数据驱动型创新领域,提出理论发展建议并提供研究议程

这是有关大数据(BD)与协同创新之间相互联系的第一篇系统文献综述。它使用BD作为分析的通用视角,并集合了不同研究流(开放式创新,共同创建和协作式创新)的概念。该审查基于对2019年底之前发表的51篇同行评审论文进行书目耦合分析的结果。发现了三个主题集群,分别针对BD作为联合创新环境下的知识创造推动力,BD作为基于客户参与度的协同创新流程的驱动力,以及BD对服务生态系统内协同创新的影响。该论文从理论上说,使用BD除了增强有意和直接的协作创新过程外,允许通过协作参与者之间的间接关系来实现被动和无意识的联合创新。这项研究还提出了11个独特的研究命题,涉及BD驱动的协同创新领域中的进一步理论发展和管理实施。

更新日期:2021-03-21
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