Abstract
The prioritization of projects in higher education institutions is a complex decision-making problem. In this paper we deal with two scenarios within Higher Education Institutions. The first scenario is a need to prepare an action plan for activities that will result in the implementation of a portfolio of projects at the institutional level. The second scenario is making a decision on whether to start a new project application, and if so, which project to choose in a situation where project teams have several project ideas and limited resources. The purpose of the paper is to show how to include corporate strategy in the decision-making process and use the Analytic Network Process as a multiple criteria decision-making methodology which can be used in solving project selection problems.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Aczel J, Saaty TL (1983) Procedures for synthesizing ratio judgment. J Math Psychol 27: 93–102
Alidi AS (1996) Use of the analytic hierarchy process to measure the initial viability of industrial projects. Int J Proj Manage 14(4): 205–208
Badri MA, Davis D, Davis DA (2001) A comprehensive 0–1 goal programming model for project selection. Int J Proj Manage 19: 243–252
Bayazit O (2006) Use of analytic network process in vendor selection decisions. Benchmarking: Int J 13(5): 566–579
Begičević N, Divjak B, Hunjak T (2007) Prioritization of e-learning form: a multicriteria methodology. Cent Eur J Oper Res 15(4): 405–419
Begičević N, Divjak B, Hunjak T (2009) Decision making on project selection in high education sector using the analytic hierarchy process. In: Proceedings of the 31st international conference on information technology interfaces, University computing centre SRCE, University of Zagreb
Cheng EWL, Li H (2005) Analytic network process applied to project selection. J Constr Eng Manage 131(4): 459–466
COST (2008) http://www.cost.esf.org. Accessed 20 Aug 2008
Danila N (1989) Strategic evaluation and selection of R&D projects. R&D Manage 19: 1
Dey PK (2006) Integrated project evaluation and selection using multiple attribute decision-making technique. Int J Prod Econ 103: 90–103
ESF European Science Foundation (2008) http://www.esf.org/. Accessed 10 Aug 2008
Eureka (2008) http://www.eureka.be. Accessed 10 Aug 2008
FOI (2008) UniZg, Faculty of Organization and Informatics, University of Zagreb. http://www.foi.hr. Accessed 15 Oct 2008
FP Framework Program (2008) http://cordis.europa.eu/fp7. Accessed 20 Aug 2008
Huang CC, Chu PY, Chiang YH (1996) A fuzzy AHP application in government-sponsored R&D project selection. Int J Proj Manage 14(4): 205–208
Lee JW, Kim SH (2000) Using analytic network process and goal programming for interdependent information system project selection. Comput Oper Res 27(4): 367–382
Lee H, Park Y, Choi H (2009) Comparative evaluation of performance of national R&D programs with heterogeneous objectives: a DEA approach. Eur J Oper Res 196: 847–855
Liang C, Qing L (2007) Enterprise information system project selection with regard to BOCR. Int J Proj Manage (article in press, corrected proof)
LLP Lifelong Learning Program (2008) http://ec.europa.eu/education/programmes/llp. Accessed 8 Aug 2008
Meade LA, Presley A (2002) R&D project selection using ANP. Potentials IEEE 21(2): 22–28
Mohanty RP, Agarwal R, Choudhury AK, Tiwari MK (2005) A fuzzy ANP-based approach to R&D project selection: a case study. Int J Prod Res 43(24):5199–5216 (18) Number 24/15
Montibeller G, Franco LA, Lord E, Iglesias A (2009) Structuring resource allocation decisions: a framework for building multi-criteria portfolio models with area-grouped options. Eur J Oper Res 199: 846–856
Moselhi O, Deb B (1993) Project selection considering risk. Constr Manage Econ 11: 45–52
Saaty TL (2001a) Decision making with dependence and feedback the analytic network process, 2nd edn. RWS, Pittsburgh
Saaty TL (2001b) Decision making in complex environments: the analytic network process for decision making with dependence and feedback. RWS, Pittsburgh
Saaty TL, Ozdemir MS (2005) The encyclicon, vol. 1. RWS, Pittsburgh
Saaty TL, Peniwati K (2008) Group decision making: drawing out and reconciling differences, vol 1. RWS, Pittsburgh
Saaty TL, Vargas LG (2006) Decision making with the analytic networking process. Springer’s International Series, New York
SuperDecisions Software (2006) http://www.superdecisions.com. For more information contact Creative Decisions Foundation
Tempus (2008) http://ec.europa.eu/education/programmes/tempus. Accessed 10 Aug 2008
Wang J, Yujie X, Zhun L (2009) Research on project selection system of pre-evaluation of engineering design project bidding. Int J Proj Manage 27: 584–599
Wong ETT, Norman G, Flanagan R (2000) A fuzzy stochastic technique for project selection. Constr Manage Econ 18: 407–414
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Begičević, N., Divjak, B. & Hunjak, T. Decision-making on prioritization of projects in higher education institutions using the analytic network process approach. Cent Eur J Oper Res 18, 341–364 (2010). https://doi.org/10.1007/s10100-009-0113-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10100-009-0113-3