大数据创新的驱动因素和轨迹:综述、综合与未来研究方向

Nebojša Radojević, Erich Heumüller
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引用次数: 0

摘要

尽管收集和存储的数据量急剧增加,但大数据在创新中的确切作用仍然是一个争论不休的话题。因此,本文采用了系统的文献综述和定性分析技术,来识别、分析和综合现有的关于大数据如何驱动创新过程、创新过程发生在哪里以及迄今为止哪些理论视角塑造了大数据创新研究的概念贡献。我们的研究结果表明,大数据创新主要以开放创新的形式或在创新网络内进行合作,同时受到各种驱动因素的驱动。然而,针对现有但未满足的市场需求(“市场拉动”),有目的地应用大数据和分析进行创新的研究相对不足。与此同时,“传统”创新管理的理论视角在很大程度上构成了迄今为止对大数据创新的研究。我们将这些发现连贯地整合在一个总体框架内,并提出了一个广泛的未来研究议程。
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Drivers and Loci of Big Data Innovation: A Review, Synthesis, and Future Research Directions
Despite a drastic increase in the amount of data collected and stored, the exact role that big data plays in innovation remains a subject of a diverging debate. This paper hence employs a systematic literature review and qualitative analysis techniques to identify, analyze and synthesize extant conceptual contributions on how big data drives the innovation process, where this process takes place, and which theoretical perspectives have shaped the research on big data innovation so far. Our findings reveal that big data innovation primarily takes place cooperatively, in the form of open innovation or within innovation networks, and that it is simultaneously driven by a variety of drivers. However, purposeful applications of big data and analytics for innovating in response to existing but unsatisfied market needs ("market pull") remain comparatively underresearched. Concomitantly, the theoretical lenses of “traditional” innovation management have largely framed the research on big data innovation so far. We coherently integrate these findings within an overarching framework and suggest an extensive future research agenda.
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来源期刊
Journal of Innovation Management
Journal of Innovation Management Engineering-Engineering (miscellaneous)
CiteScore
3.50
自引率
0.00%
发文量
21
审稿时长
25 weeks
期刊最新文献
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