Current Trends in Public Sector Research. Proceedings of the 24th International Conference



This paper presents the application of expert decision methods for the formulation and prioritisation of the long-term economic, social and environmental policies in the Slovak Republic. The Partnership Agreement for the Slovak Republic is an underlying strategy for investments from the European Structural and Investment Funds in the period 2021-2027. Policies implemented under the Partnership Agreement will allocate €13.4b on four policy objectives. This paper concentrates on the policy objective 4 ‘Social development’. The authors co-operated with the Deputy Prime Minister Office and assembled panels of top Slovak experts on social and economic issues. The Delphi and Analytical hierarchy process methods were combined for analysing major development challenges and eliciting policy priorities. The methods combined the bottom-up and top-down approaches to policy making. Consecutive rounds of the ‘classical Delphi’ generated consensus by experts on major development challenges of the Slovak Republic in period 2021-2027. The ‘policy Delphi’ encouraged structured public dialogue in order to generate policy alternatives for solving development challenges. The Analytical Hierarchy Process enabled the structuring of complex policy decision problems. A hierarchy of decision goals, decision alternatives and decision criteria was constructed. Some nine policy measures were drafted and prioritised.

Klíčová slova

Delphi method; Analytical hierarchy process; Partnership Agreement; Long-term planning


[1] Kim, M., Jang, Y.C. and Lee, S. (2013): Application of Delphi-AHP methods to select the priorities of WEEE for recycling in a waste management decision-making tool. Journal of Environmental Management, 128(C): 941-948.


[2] Ferreira, P., Araújo, M.M., and O'Kelly, M.E. (2010): The Integration of Social Concerns into Electricity Power Planning: A Combined Delphi and AHP Approach. Pp 343-364 in S. Rebennack et al. (eds.), Handbook of Power Systems I, Energy Systems, Springer-Verlag Berlin Heidelberg 2010.



[3] Yang, C., Liu, T., Kao, C., Wang, H., and Township, T. (2010): Integrating AHP and DELPHI Methods to Construct A Green Product Assessment Hierarchy for Early Stages of Product Design and Development. International Journal of Operations Research. 7(3): 35-43.



[4] Kabir, G. and Hasin, M.A.A. (2013): Integrating modified Delphi method with fuzzy AHP for optimal power substation location selection. International Journal of Multicriteria Decision Making, 3(4): 381-398.



[5] Alipor, H., Nasab, S.N.H., Ardakani, A.H.H., Cheshmidari, M.N. and Shojaei. S. (2016): Comparison of Delphi and Analytic Hierarchy Process (AHP) techniques in locating flood spreading. Elixir Earth Science, 94: 39993-39999.



[6] Delbari, S.A., Ng, S.I., Yuhanis, A. A. and Jo, A.H. (2016): An investigation of key competitiveness indicators and drivers of full-service airlines using Delphi and AHP techniques. Journal of Air Transport Management, 52(C): 23-34.



[7] Schmid, J.V., Hager, A., Jechlitschka, K. and Kirschke, D. (2010): Programming rural development funds - An interactive linear programming approach applied to the EAFRD program in Saxony-Anhalt. Structural Change in Agriculture / Strukturwandel im Agrarsektor (SiAg). Working Papers 59523, Humboldt University Berlin, Department of Agricultural Economics.



[8] Niinikoski, E.R., Kelhä, L. and Isoherranen, V. (2017): The European Cohesion Policy and Structural Funds in Sparsely Populated Areas: A Case Study of the University of Oulu. International Journal of Management, Knowledge and Learning. 6(1): 77-96.



[9] Hasson, F. and Keeney, S. (2011): Enhancing rigour in the Delphi technique research. Technological Forecasting & Social Change, 78(9): 1695-1704.



[10] van Zolingen, S.J. and Klaassen, C.A. (2003): Selection processes in a Delphi study about key qualifications in Senior Secondary Vocational Education. Technological Forecasting and Social Change, 70(4): 317-340.



[11] Hanafin, S. (2004): Review of literature on the Delphi Technique. Dublin: National Children's Office.



[12] Rowe, G. and Wright, G. (1999): The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting, 15(4): 353-375.



[13] Rowe G., Wright G. (2001): Expert Opinions in Forecasting: The Role of the Delphi Technique. In: Armstrong J.S. (eds) Principles of Forecasting. International Series in Operations Research & Management Science, vol 30. Springer, Boston, MA.



[14] McMillan, S.S., King, M., and Tully, M.P. (2016): How to use the nominal group and Delphi techniques. International journal of clinical pharmacy, 38(3): 655-662.



[15] Habibi, A., Sarafrazi, A. and Izadyar, S. (2014): Delphi Technique Theoretical Framework in Qualitative Research. The International Journal of Engineering and Science, 3(4): 08-13.



[16] Saaty, T.L. and Özdemir. M.S. (2014): How Many Judges Should There Be in a Group? Annals of Data Science. 1: 359-368.



[17] Saaty, T. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1): 83-98.



[18] Tsyganok, V.V., Kadenko, S.V. and Andriichuk, O.V. (2012): Significance of expert competence consideration in group decision making using AHP. International Journal of Production Research, 50(17): 4785-4792.



[19] Bernasconi, M., Choirat, C. and Seri, R. (2014): Empirical properties of group preference aggregation methods employed in AHP: Theory and evidence. European Journal of Operational Research, 232(3): 584-592.



[20] Ossadnik, W., Schinke, S. and Kaspar, R.H. (2016): Group Aggregation Techniques for Analytic Hierarchy Process and Analytic Network Process: A Comparative Analysis. Group Decision and Negotiation, 25(2): 421-457.