Abstract
The landscape for potential research funding is diverse, and occasionally, multiple opportunities are available simultaneously. Moreover, considering that the preparation of a well-founded research application is demanding in terms of resource expenditure, the ‘best’ opportunities are continuously evaluated and selected in the hope of maximizing the beneficial outcome of efforts invested in applications - but the definition of ‘best’, and thus the selection of opportunities has a tendency of being subjective and individual, researcher by researcher. In this work, we are suggesting that a research group or department will benefit form an explicit discussion and agreement about selection criteria - KPIs - and from applying such more objective and well understood criteria in the selection process. To reach this goal, we are also aiming at providing a structured approach to selection of sources for external research funding.
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References
Blume-Kohout, M.E., Kumar, K.B., Sood, N.: University R &D funding strategies in a changing federal funding environment. Sci. Public Policy 42(3), 355–368 (2015)
Davey, B.A., Priestley, H.A.: Introduction to lattices and order. Cambridge University Press, Cambridge (2005)
Gaspars-Wieloch, H.: Modifications of the Hurwicz’s decision rule. CEJOR 22, 779–794 (2014)
Saaty, T.L.: The analytic hierarchy process: decision making in complex environments. In: Avenhaus, R., Huber, R.K. (eds.) Quantitative Assessment in Arms Control. Springer, Boston (1994). https://doi.org/10.1007/978-1-4613-2805-6_12
Saaty, T.L., Ergu, D.: When is a decision-making method trustworthy? Criteria for evaluating multi-criteria decision-making methods. Int. J. Inf. Technol. Decis. Mak. (IJITDM) 14(06), 1171–1187 (2015)
Tahriri, F., Osman, M.R., Ali, A., Yusuff, R., Esfandiary, A.: AHP approach for supplier evaluation and selection in a steel manufacturing company. J. Ind. Eng. Manag. 1, 54–76 (2008)
Yager, R.R., Kacprzyk, J.: The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer, Norwell, MA (1997)
Yager, R.R.: OWA aggregation over a continuous interval argument with applications to decision making. IEEE Trans. Syst. Man Cybern. Part B 34(5), 1952–1963 (2004)
Wille, R.: Concept lattices and conceptual knowledge systems. Comput. Math. Appl. 23(6–9), 493–515 (1992)
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Encheva, S., Petersen, E.S., Lützhöft, M.H. (2023). Cooperative Decision Making for Selection of Application Strategies. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-031-18461-1_58
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DOI: https://doi.org/10.1007/978-3-031-18461-1_58
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