Developing a smart operational research with hybrid practice theories

Katharina Burger*, Leroy White, Mike Yearworth

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)
203 Downloads (Pure)

Abstract

The growth of technology-rich data-driven decision environments is seen by some as a challenge to the future relevance of Operational Research. Extant research remains unspecific about the distinct contribution that Operational Research can make in environments that are influenced by big data, data science and analytics. This paper explores the possibility that these environments hold the potential for a new integrative Operational Research offering, which we conceptualise as Smart Operational Research. In developing this proposal, we combine automated co-occurrence analysis of a corpus of literature with human-driven data interpretation to identify instantiations of hybrid decision-making. We then bring theory and practice together to outline the Smart Operational Research framework with the overall aim to enhance actionable insight and positive results for Operational Research practitioners.
Original languageEnglish
Pages (from-to)1137-1150
Number of pages14
JournalEuropean Journal of Operational Research
Volume277
Issue number3
Early online date27 Mar 2019
DOIs
Publication statusPublished - 19 Sep 2019

Structured keywords

  • Digital Societies

Keywords

  • Decision processes
  • Hybrid practice theories
  • Decision-support
  • Hybridity
  • Co-occurrence mapping

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