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Welcome to our literature corpus!

Below is a collection of Behavioural OR (BOR) articles, thoughtfully selected by the COB members of our EURO working group on BOR. Here, you’ll find insights into the core themes, methods, and discoveries that shape our research. This corpus not only highlights BOR contributions to advancing knowledge but also serves as a resource for collaborators, students, and professionals interested in exploring the depth and impact of our work.

BOR literature corpus:

  1. Ackermann, F. (2024). Managing grand challenges: Extending the scope of problem structuring methods and behavioural operational research. European Journal of Operational Research.
  2. Aubert, A. H., & Lienert, J. (2024). Operational Research for, with, and by citizens: An overview. European Journal of Operational Research, 316(3), 800-814.
  3. Elsawah, S., Bakhanova, E., Hämäläinen, R. P., & Voinov, A. (2023). A competency framework for participatory modeling. Group Decision and Negotiation, 32(3), 569-601.
  4. Franco, A., Hämäläinen, R., Rouwette, E., Leppänen, I. (2021). Taking stock of behavioural OR: A review of behavioural studies with an intervention focus. European Journal of Operational Research, 293 (2),  401–418.
  5. Tavella, E., Papadopoulos, T., & Paroutis, S. (2021). Artefact appropriation in facilitated modelling: An adaptive structuration theory approach. Journal of the Operational Research Society, 72(11), 2381-2395.
  6. Lahtinen, T. J., Hämäläinen, R. P., & Jenytin, C. (2020). On preference elicitation processes which mitigate the accumulation of biases in multi-criteria decision analysis. European Journal of Operational Research, 282(1), 201-210.
  7. Kunc, M., Harper, P., & Katsikopoulos, K. (2018). A review of implementation of behavioural aspects in the application of OR in healthcare. Journal of the Operational Research Society, 71(7), 1055-1072.
  8. Lahtinen, T. J., Guillaume, J. H., & Hämäläinen, R. P. (2017). Why pay attention to paths in the practice of environmental modelling?. Environmental Modelling & Software, 92, 74-81.
  9. O’Keefe, R. M. (2016). Experimental behavioural research in operational research: What we know and what we might come to know. European Journal of Operational Research, 249(3), 899-907.
  10. White, L. (2016). Behavioural operational research: Towards a framework for understanding behaviour in OR interventions. European Journal of Operational Research, 249(3), 827-841.
  11. White, L., Burger, K., & Yearworth, M. (2016). Understanding behaviour in problem structuring methods interventions with activity theory. European journal of operational research, 249(3), 983-1004.
  12. Monks, T., Robinson, S., & Kotiadis, K. (2016). Can involving clients in simulation studies help them solve their future problems? A transfer of learning experiment. European Journal of Operational Research, 249(3), 919-930.
  13. Franco, L. A., Hämäläinen, R. P. (2016). Engaging with behavioral operational research: On methods, actors and praxis. In: Behavioral Operational Research: Springer, 3–25.
  14. Franco, L. A., & Hämäläinen, R. P. (2016). Behavioural operational research: Returning to the roots of the OR profession. European Journal of Operational Research, 249(3), 791-795.
  15. Siebert, J., & Keeney, R. L. (2015). Creating more and better alternatives for decisions using objectives. Operations Research, 63(5), 1144-1158.
  16. Fasolo, B., & e Costa, C. A. B. (2014). Tailoring value elicitation to decision makers’ numeracy and fluency: Expressing value judgments in numbers or words. Omega, 44, 83-90.
  17. Ormerod, R. J. (2014). The mangle of OR practice: towards more informative case studies of ‘technical’projects. Journal of the Operational Research Society, 65(8), 1245-1260.
  18. Hämäläinen, R. P., Luoma, J., & Saarinen, E. (2013). On the importance of behavioral operational research: The case of understanding and communicating about dynamic systems. European Journal of Operational Research, 228(3), 623-634.

  19. Fransoo, J. C., & Wiers, V. C. (2008). An empirical investigation of the neglect of MRP information by production planners. Production Planning and Control, 19(8), 781-787.

BOR Network Graph

The network graph below visualizes the connections between Behavioural OR (BOR) articles listed  above. Each node represents an individual BOR article, with connections indicating how these articles are interconnected through their citations. For more detailed information, click on any node to access the full article directly. This interactive feature allows for easy exploration of the relationships between these influential publications in the field, carefully selected by the BOR COB members for their relevance and impact.

(see also https://www.researchrabbitapp.com/collection/public/PZ95O9MKLO)