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

Arho Suominen, Arash Hajikhani

Tutkimustuotos: ArtikkeliTieteellinenvertaisarvioitu

13 Sitaatiot (Scopus)
8 Lataukset (Pure)

Abstrakti

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.

AlkuperäiskieliEnglanti
Sivut464-484
JulkaisuPolicy and internet
Vuosikerta13
Numero4
DOI - pysyväislinkit
TilaJulkaistu - 2021
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Health(social science)
  • Public Administration
  • Health Policy
  • Computer Science Applications

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