Published Dec 19, 2021
Tamara Kaftandzieva Violeta Cvetkoska


In an uncertain economic environment, the decision-making process regarding personal finances relies heavily on personal experience and behavior, and is largely influenced by a variety of psychological and socio-demographic factors. The aim of this paper is to analyze the key factors of the decision-making process regarding financial choices of the population of young adults in the Republic of North Macedonia, and to further explain young people’s motives for the proposed decision and the conditions under which the decision was made. The research was conducted through an AHP-based questionnaire that was distributed to respondents ranging in age from 18 to 35 years. According to the obtained results, the respondents value financial security the most, hence their primary choice is investment in real estate and commodities. Young adults are less inclined to invest, especially in the more complex financial instruments. The developed AHP model will help young people make better, fact-based financial choices.

How to Cite

Kaftandzieva, T., & Cvetkoska, V. (2021). FINANCIAL DECISION MAKING AMONG YOUNG ADULTS: AN AHP APPROACH. International Journal of the Analytic Hierarchy Process, 13(3).


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financial decision-making, personal finance, young population, AHP

Aczel, J., & Saaty, T. L. (1983). Procedures for synthesizing ratio judgment. Journal of Mathematical Psychology, 27, 93-102. Doi:

Antony, A., & Joseph, A. I. (2017). Influence of behavioural factors affecting investment decision - An AHP analysis. Metamorphosis: A Journal of Management Research, 16(2), 107-114. Doi:

Carlin, B. I., & Robinson, D. T. (2012). Financial education and timely decision support: Lessons from junior achievement American Economic Review, 102(3), 305-308. Doi:

Chang, C.-W., Wu, C.-R., Lin, C.-T., & Chen, H.-C. (2007). An application of AHP and sensitivity analysis for selecting the best slicing machine. Computers & Industrial Engineering, 52(2), 296-307. Doi:

Charness, G., & Gneezy, U. (2010). Portfolio choice and risk attitudes: An experiment. Economic Inquiry, 48(1), 133-146. Doi:

de Almeida-Filho, A. T., de Lima Silva, D. F., & Ferreira, L. (2020). Financial modelling with multiple criteria decision making: A systematic literature review. Journal of the Operational Research Society, 1-19. Doi:

Escobar, A. L., López, R. R., Guerrero, G. J. E., & Cuadrado, S. E. (2020). Design of strategies for the implementation and management of a complementary monetary system using the SWOT-AHP methodology. Sustainability, 12(17), 1-23. Doi:

Eurostat (2020). Youth unemployment rate by sex, age and country of birth. Available at: (Accessed on: May 20, 2020).

Franek, J., & Kashi, K. (2014). A review and critique of MADM methods and applications in business and management. International Journal of the Analytic Hierarchy Process, 6(2), 180-201. Doi:

Gawlik, R. (2019). Enhancing the work-life balance through AHP modeling of early career decision-making. International Journal of the Analytic Hierarchy Process, 11(2), 181-194. Doi:

Goyal, P., Kumar, D., & Kumar, V. (2020). Application of multi-criteria decision analysis (MCDA) in the area of sustainability: A literature review. International Journal of the Analytic Hierarchy Process, 12(3), 512-545. Doi:

Kahneman, D., & Riepe, M. (1998). Aspects of investor psychology. The Journal of Portfolio Management, 24(4), 52-65. Doi:

Kahneman, D., & Tversky, A. (1972). Subjective probability: A judgment of representativeness. Cognitive Psychology, 3(3), 430-454. Doi:

Khan, A. U., & Ali, Y. (2020). Analytical Hierarchy Process (AHP) and Analytic Network Process methods and their applications: A twenty-year review from 2000 to 2019. International Journal of the Analytic Hierarchy Process, 12(3), 369-459. Doi:

Lusardi, A. (2008). U.S. household savings behavior: The role of financial literacy, information and financial education programs. In Foote, C., Goette, L., & Meier, S. (Eds), Policymaking Insights from Behavioral Economics. Federal Reserve Bank of Boston, 109-149. Doi:

Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications - A review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516-571. Doi:

Obeidat, M. S., Qasim, T., & Khanfar, A. (2018). Implementing the AHP multi-criteria decision approach in buying an apartment in Jordan. Journal of Property Research, 35(1), 53-71. Doi:

OECD (2020). Financial literacy of adults in South East Europe. Available at:
(Accessed on: May 18, 2020).

OECD INFE (2011). Measuring financial literacy: Core questionnaire. In Measuring financial literacy: Questionnaire and guidance notes for conducting an internationally comparable survey of financial literacy. Paris: OECD. Doi:

Pradhan, S., Olfati, M. & Patel, G. (2019). Integrations and applications of Analytic Hierarchy Process with Data Envelopment Analysis - A literature review. International Journal of the Analytic Hierarchy Process, 11(2), 228-268. Doi:

Ryan, J. S. & Ryan, C. (2015). Managing your personal finances, 7th Edition. Cengage Learning.

Roy, P. K., & Shaw, K. (2021). A credit scoring model for SMEs using AHP and TOPSIS. International Journal of Finance & Economics, 1-20. Doi:

Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, priority setting, resource allocation. New York, NY: McGraw-Hill.

Saaty, T. L. (1986). Axiomatic foundation of the Analytic Hierarchy Process. Management Science, 32(7), 841-855. Doi:

Saaty, T. L. (2012). Decision-making for leaders. The Analytic Hierarchy Process for decisions in a complex world. Pittsburgh, PA: RWS Publications.

Saaty, T.L., & Kearns, K.P. (1991). Analytical planning: The organization of systems. The Analytic Hierarchy Process Series, Vol. IV. Pittsburgh, PA: RWS Publications.

Saaty, T. L., & Peniwati, K. (2007). Group decision-making: Drawing out and reconciling differences. Pittsburgh, PA: RWS Publications.

Sato, Y. (2009). How to measure human perception in survey questionnaires. International Journal of Analytic Hierarchy Process, 1(2), 64-82. Doi:

Spectrum Financial Resources (2021). Personal financial planning questionnaire, 1925786CD12B8C94.pdf
(Accessed on: January 20, 2020)

Steuer, R. E., & Na, P. (2003). Multiple criteria decision-making combined with finance: A categorized bibliographic study. European Journal of Operational Research, 150(3), 496-515. Doi:

Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1-29. Doi:

Wu, W., Kou, G., Peng, Y., & Ergu, D. (2012). Improved AHP group decision-making for investment strategy selection. Technological and Economic Development of Economy, 18(2), 299-316. Doi:

Zopounidis, C., & Doumpos, M. (2013). Multicriteria decision systems for financial problems. TOP, 21(2), 241-261. Doi:

Zopounidis, C., Doumpos, M., & Niklis, D. (2018). Financial decision support: An overview of developments and recent trends. EURO Journal on Decision Processes, 6(1-2), 63-76. Doi:

Zopounidis, C., Galariotis, E., Doumpos, M., Sarri, S., & Andriosopoulos, K. (2015). Multiple criteria decision-aiding for finance: An updated bibliographic survey. European Journal of Operational Research, 247(2), 339-348. Doi: