Model for investment decision making by applying the multi-criteria analysis method

  • Adis Puška College of Computer Science and Business Communications eMPIRICA
  • Admir I Beganović The University of Business Studies Banja Luka, Bosnia and Herzegovina
  • Sead Šadić PHI Health Center Brčko
Keywords: methods of multi-criteria analysis, making the investment decision,

Abstract


When making an investment decision the investor has got many alternative investment options available. The task of the investor is to choose one investment that will best accomplish the objectives of the investment project. In order for an investment to be possible, it is common practice to create a document that plans and especially outlines the form of the investment project. In order to choose an investment that best meets the goals of the project, it is necessary to evaluate the project. There are evaluation methods available for the investor to assess the effectiveness of an investment project.  The results given by these methods are usually conflicting, thus causing difficulties for the investor’s decision-making abilities. This paper presents a model for improving the decision process in investment. The purpose of this model is to indicate the need for using methods such as the multi-criteria analysis method in order to evaluate the effectiveness of an investment. Due to the fact that the results of the evaluation methods are often different, it is necessary to take into account that there are a number of criteria that need to be acknowledged, in order to make the best investment decision. Multi-criteria analysis can be used to rank potential investment projects and enhances the decision-making process that is required to meet the goals of an investment.

References

Amiri, M.P. (2010). Project selection for oil-fields development by using AHP and fuzzy TOPSIS method. Expert systems with applications, 37 (9), 6218-66224.

Aragonés-Beltrán, P., Chaparro-González. F., Pastor-Ferrando J.-P., & Pla-Rubio, A. (2014). An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66 (1), 222-238.

Bendeković, J. (1993). Planning of investment projects. Book III, Zagreb: The institute of economics. (in Croatian)

Bukumirović, M., & Čupić, A. (2005). Evaluation of the characteristics of the postal center infrastructure. PosTel 2005, 315-324. (in Serbian)

Ehrhardt, M.C., & Brigham, E.F. (2011). Corporate Finance: A Focused Approach. Fourth Edition, Mason, OH: South-Western Cengage Learning.

Fabozzi, F.J., & Drake, P.P. (2010). The Basics of Finance, Hoboken. New Jersey: John Wiley & Sons.

Fabozzi, F.J., & Peterson, P.P. (2003). Financial Managment and Analysis. Second Edition, Hoboken N.J.: John Wiley & Sons.

Hashemi, S. S., Razavi Hajiagha, S. H., Zavadskas, E. K., & Mahdiraji, H. A. (2016). Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information. Applied Mathematical Modelling, 40 (2), 1554-1564.

Jeremić, Lj. (2008). Fundamentals of finance. Belgrade: Singidunum University. (in Serbian)

Jovanović, P. (2006). Investment management. Sixth edition. Belgrade: Faculty of Organisational Sciences. (in Serbian)

Ključnikov, A., Belás, J., Kozubíková, L., & Paseková, P. (2016). The Entreprenurial Perception of SME Business Environment Quality in the Czech Republic. Journal of Competitiveness, 8 (1), 66-78.

Krčmar, M. (2002). Financial maths and investment decision making methods. Sarajevo: Kemigrafika-Trade. (in Bosnian)

Kumar, S. (2006). Integrated project evaluation and selection using multiple-attribute decision-making technique. International Journal of Production Economics, 103 (1), 90-103.

Lu, J., Zhang, G., & Ruan, D. (2007). Multi-Objective Group Decision Making – Methods, Software and Applications with Fuzzy Set Techniques. London: Imperial College Press.

Mahmoodzadeh, S., Shahrabi, J., Pariazar, M., & Zaeri, M. S. (2007). Project selection by using fuzzy AHP and TOPSIS technique. World Academy of Science, Engineering and Technology, 30, 333-338.

Manteghi, N., & Haddadpour Jahromi M.J. (2012). Innovative model to priority distributed generation technology. Procedia Technology, 1, 485-489.

Milićević, R.M., & Župac, Ž.G. (2012). An Objective Approach to Determining Criteria Weights. Vojnotehnički glasnik, 60 (1), 39-56. (in Serbian)

Mohanty, R.P. (1992). Project selection by a multiple-criteria decision-making method: an example from a developing country. International Journal of Project Management, 10(1), 31-38.

Mohanty, R.P., Agarwal, R., Choudhury, A.K., & Tiwari, M.K. (2005). A fuzzy ANP-based approach to R&D project selection: a case study. International Journal of Production Research, 43 (24), 5199-5216.

Nićin, N., & Pušara, N. (2010). Investment management. Belgrade: Belgrade Business School - Higher Education Institution for Applied Studies. (in Serbian)

Orsag, S. (2002). Capital budgeting - estimation of investment projects. Zagreb: Masmedia. (in Croatian)

Pangsri, P. (2015). Application of the Multi Criteria Decision Making Methods for Project Selection. Universal Journal of Management, 3 (1), 15-20.

Pavličić, D. (2002). Consistency of choice of the method of multi-factor analysis. Ekonomski anali, 44 (155), 59-82. (in Serbian)

Polat, G., Damci, A., Pelin Gurgun, A., & Demirli, I. (2016). Urban Renewal Project Selection Using the Integration of AHP and PROMETHEE Approaches. Procedia Engineering, 164, 339-346.

Puška, A. (2011). Sensitivity analysis in the function of investment decision making. Praktični menadžment, 2 (3), 80-86. (in Bosnian)

Puška, A. (2012). Making investment decisions using the TOPSIS method. EMC Review, 2 (3), 143-160. (in Bosnian)

Puška, A. (2013). Normalization of data and its impact on the ranking of investment projects. Poslovni Konsultant, 5 (22), 30-41. (in Bosnian)

Radojičić, M., & Vesić, J. (2003) One approach to modeling and expressing preferences in multi-criteria optimization. Menadžment u industriji, Book of Proceedings, 241-246. (in Serbian)

Ross, S., Westerfield, R., & Jaffe, J. (2002). Fundamentals of Corporate Finance, Sixth Edition, Alternate Edition, New York: McGraw−Hill.

Srđević, B, Srđević Z., & Zoranović T. (2002). PROMETHEE, TOPSIS AND CP in multi-criteria decision-making in agriculture. Letopis naučnih radova, 26 (1), 5-23. (in Serbian)

Srđević, B. (2002). Multiple criteria for the purpose of acoustics. Vodoprivreda, 34 (1-6), 35-45. (in Serbian)

Srđević, B. (2005). Discrete decision models in optimizing the use of the canal network in Vojvodina. Letopis naučnih radova Poljoprivrednog fakulteta, 29 (1), 19-30. (in Serbian)

Triantaphyllou E. (2000). Multi-criteria decision making methods: a comparative study, Massachusette: Kluwer Academic Publishers, Norvell.

Triantaphyllou, E., & Mann, S.H. (1995). Using the Analytic Hierachy Process for decision making in engineering applications: some challenges. International Journal of Industrial Engineering: Applications and Practice, 2 (1), 35-44.

Van Horne, J.C. & Wachowich, J.M. Jr. (2002). Basic of financial management. 9th edition, Zagreb: Mate.

Vernimmen, P. (2009). Corporate Finance: Theory and Practice. Second Edition, Hoboken N.J.: John Wiley & Sons.

Vidučić, Lj. (2006) Financial Management, Fifth Edition. Zagreb: RRIF – plus. (in Croatian)

Volarević, H., & Davosir Pongrac, D. (2010a). Capital budgeting Part III. Finansijski propisi i praksa, 16 (9), 57-66. (in Croatian)

Volarević, H., & Davosir Pongrac, D. (2010b). Capital budgeting Part IV. Finansijski propisi i praksa, 16(10), 65-72. (in Croatian)

Yoon, K.P., & Hwang, C-L. (1995). Multiple attribute decision making: an introduction. London: Sage Publications.

Published
2017/10/26
Section
Review Paper