Research themes in big data analytics for policymaking: Insights from a mixed-methods systematic literature review

Arho Suominen (Corresponding Author), Arash Hajikhani

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

The use of big data and data analytics are slowly emerging in public policy-making, and there are calls for systematic reviews and research agendas focusing on the impacts that big data and analytics have on policy processes. This paper examines the nascent field of big data and data analytics in public policy by reviewing the literature with bibliometric and qualitative analyses. The study encompassed scientific publications gathered from SCOPUS (N = 538). Nine bibliographically coupled clusters were identified, with the three largest clusters being big data's impact on the policy cycle, data-based decision-making, and productivity. Through the qualitative coding of the literature, our study highlights the core of the discussions and proposes a research agenda for further studies.
Original languageEnglish
Pages (from-to)464-484
JournalPolicy and Internet
Volume13
Issue number4
Early online date14 Jun 2021
DOIs
Publication statusPublished - Dec 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • bibliometric
  • big data
  • content analysis
  • data analytics
  • public policy

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