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Operational Research for the Real World: big questions from a small island☆

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  • G Royston

    (Operational Research Society, Birmingham, UK)

Abstract

The address explores three questions that are important for operational research: ‘Where do we come from?’, ‘What are we?’ and ‘Where are we going?’ First, it looks briefly at the history of O.R. from Babbage to Blackett and the importance of a ‘union of theory and practice’ in our work. Then it looks at O.R.'s identity and image and argues that we do have a reasonably clear idea of our identity, although we do not give sufficient prominence to our contribution to improving system design. It also argues that the ‘brand image’ of O.R. has become diluted and needs to be simple, distinctive, relevant and compelling. In considering how we might achieve that, by addressing the third question, it proposes that we should grow our capability and activity in accommodating ‘analytics’, in building in behavioural science, in coping with complex systems, in developing design thinking and in encouraging evaluation. It also suggests strengthening bridges between academics and practitioners, between those working in different specialisms and in diverse sectors and between O.R. and the public. Finally, it argues that such developments would assist O.R. to reinforce our bridge between science and the humanities and enable us to better meet the challenges of the ‘real world’.

Suggested Citation

  • G Royston, 2013. "Operational Research for the Real World: big questions from a small island☆," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(6), pages 793-804, June.
  • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:6:p:793-804
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    Citations

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    Cited by:

    1. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
    2. Duan, Yanqing & Cao, Guangming & Edwards, John S., 2020. "Understanding the impact of business analytics on innovation," European Journal of Operational Research, Elsevier, vol. 281(3), pages 673-686.
    3. Burger, Katharina & White, Leroy & Yearworth, Mike, 2019. "Developing a smart operational research with hybrid practice theories," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1137-1150.
    4. Leitner, Stephan & Wall, Friederike, 2022. "Micro-level dynamics in hidden action situations with limited information," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 372-393.
    5. Harper, Alison & Mustafee, Navonil & Yearworth, Mike, 2021. "Facets of trust in simulation studies," European Journal of Operational Research, Elsevier, vol. 289(1), pages 197-213.
    6. Ranyard, J.C. & Fildes, R. & Hu, Tun-I, 2015. "Reassessing the scope of OR practice: The Influences of Problem Structuring Methods and the Analytics Movement," European Journal of Operational Research, Elsevier, vol. 245(1), pages 1-13.
    7. Chen, Yi-Ting & Sun, Edward W. & Lin, Yi-Bing, 2020. "Merging anomalous data usage in wireless mobile telecommunications: Business analytics with a strategy-focused data-driven approach for sustainability," European Journal of Operational Research, Elsevier, vol. 281(3), pages 687-705.
    8. Andreas Tolk & Jennifer A. Richkus & F. LeRon Shults & Wesley J. Wildman, 2023. "Computational Decision Support for Socio-Technical Awareness of Land-Use Planning under Complexity—A Dam Resilience Planning Case Study," Land, MDPI, vol. 12(5), pages 1-20, April.
    9. White, Leroy, 2016. "Behavioural operational research: Towards a framework for understanding behaviour in OR interventions," European Journal of Operational Research, Elsevier, vol. 249(3), pages 827-841.
    10. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2021. "Limited intelligence and performance-based compensation: An agent-based model of the hidden action problem," Papers 2107.03764, arXiv.org.

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