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The role of data science and data analytics for innovation: a literature review

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  • Pedro Natividade Joergensen
  • Michael Zaggl

Abstract

Data science and data analytics (DS/DA) have been quickly adopted by decision-makers in organisations. Their relation to specific functions within organisations, however, remain unclear. Therefore, this study focuses on their relationship to innovation and aim to clarify the role of DS/DA relative to innovation and decision-making. To this end, we conducted a literature review. Based on a systematic query in the Web of Science, we identified 172 relevant articles, which address DS/DA and innovation. Our findings suggest a prevalence of different understandings of DS/DA relative to innovation and decision-making. Specifically, we identified three distinct categories of articles: (1) “Innovation as a result of DS/DA”, (2) “DS/DA as a result of innovation”, (3) “Diffusion of DS/DA technology”, and sorted the remaining in a fourth category “Miscellaneous”. Our study contributes to the understanding of DS/DA and its ambiguous relationship to innovation and decision-making. We outline implications for academics, practitioners, and educators.

Suggested Citation

  • Pedro Natividade Joergensen & Michael Zaggl, 2024. "The role of data science and data analytics for innovation: a literature review," Journal of Business Analytics, Taylor & Francis Journals, vol. 7(4), pages 207-223, October.
    • Handle: RePEc:taf:tjbaxx:v:7:y:2024:i:4:p:207-223
    DOI: 10.1080/2573234X.2024.2365917
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