УТИЦАЈ СУБЈЕКТИВНИХ ПРЕФЕРЕНЦИЈА НА ПРОЦЕС ОДЛУЧИВАЊА У ВИШЕКРИТЕРИЈУМСКОМ МОДЕЛУ ЈАВНИХ НАБАВКИ/INFLUENCE OF SUBJECTIVE PREFERENCES ON THE DECISION-MAKING PROCESS IN A MULTI-CRITERIA MODEL OF PUBLIC PROCUREMENT
Abstract
Improvement of business is one of the primary goals of any business entity. One of the basic prerequisites for a successful business is the proper allocation of public resources. In this sense, the public procurement system is an important component in improving the efficiency of public finances, which are of special interest to modern society. This paper discusses the role and importance of the method of multi-criteria analysis for the evaluation of public procurement. The idea for this kind of analysis is the result of research into the possibility of applying different methods of decision making in the modern approach to decision making in the sector of public procurement. The emphasis is placed on those methods that use the alternative ranking. In addition to the theoretical dimension, the paper also presents one method of multi-criteria analysis, the AHP method, applied to empirical data obtained from the Gerontology center “Jelenac” in Aleksinac.
Key words: multi-criteria analysis, multi-criteria decision making, AHP method, t-test, public procurement.
Апстракт
Унапређење пословања је један од основних циљева сваког привредног субјекта. Једна од основних претпоставки за успешно пословање је правилна алокација јавних ресурса. У том смислу, систем јавних набавки представља важну компоненту за унапређење ефикасности јавних финансија које су од посебног интереса за савремено друштво. У овом раду разматра се улога и значај метода вишекритеријумске анализе за оцену јавних набавки. Идеја за оваквом врстом анализе настала је као резултат истраживања могућности примене различитих метода вишеатрибутног одлучивања у савременом приступу доношења одлука у сектору јавних набавки. Акценат је на оним методама које користе рангирање алтернатива. Рад, поред теоријске димензије, презентује и један од метода вишекритеријумске анализе, АХП метод, на емпиријским подацима добијеним од стране Герантолошког центра „Јеленац“ из Алексинца.
Кључне речи: вишекритеријумска анализа, вишекритеријумско одлучивање, АХП метод, t-тест, јавне набавке
Full Text:
PDF (Cрпски)References
Alonso J.A., Lamata M.T. (2006). Consistency In The Analytic Hierarchy Process: A New Approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 14(4), 445−459.
Afshari A., Mojahed M. & Yusuff R.M. (2010). Simple additive weighting approach to Personnel Selection problem. International Journal of Innovation, Management and Technology, 1(5), 511−515.
Chocholik J.K., Bouchard S.E., Tan J.K.H., & Ostrow D.N. (1999). The Determination of Relevant Goals and Criteria Used to Select an Automated Patient Care Information System A Delphi Approach, Journal of the American Medical Informatics Association, 6(3), 219−233. doi:10.1136/jamia.
0060219
Choua S.-Y., Changa Y.-H., & Shenc C.-Y. (2008).A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes. European Journal of Operational Research, 189(1), 132−145.
Chu T. W., Kalaba R. E., & Spingarn K., (1979). A comparison of two methods for determining the weights of belonging to fuzzy sets. Journal of Optimization Theory and Applications, 27 (4), 531−538.
Cook R.L.& Stewart T.R. (1975). A Comparison of Seven Methods for Obtaining Subjective Descriptions of Judgmental Policy. Organizational Behavior and Human Performance, 13(1), 31−45.
Curtis I. (2004). Valuing ecosystem goods and services: a new approach using a surrogate market and the combination of a multiple criteria analysis and a Delphi panel to assign weights to the attributes. Ecological Economics, 50 (3–4), 163–194.
Kwong C. K., & Bai H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of Intelligent Manufacturing, 13(5), 367−377.
Jaskowski P., Biruk S., & Bucon R. (2010). Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment. Automation in Construction, 19(2), 120–126.
Lin H.Y., Liao C.J. & Chang Y.H. (2010). Applying fuzzy simple additive weighting system to health examination institution location selection. Industrial Engineering and Engineering Management (IE&EM), IEEE 17th International Conference, 646−650.
Милићевић М.Р., & Жупац Г.Ж. (2012). Субјективни приступ одређивању тежина критеријума [Subjective approach to criteria weighting]. Војно технички гласник, 60(2), 48−70
Park C.-S., Han I., (2002). A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction. Expert Systems with Applications, 23(3), 255–264.
Podvezko V. (2009). Application of AHP technique. Journal of Business Economics and Management, 10(2), 181-189.
Saaty T.L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234−281.
Saaty T.L. (1980). Multicriteria decision making: the Analytic Hierarchy Process. New York: McGraw-Hill
Saaty T.L., & Vargas L.G. (2013). Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks. International Series in Operations Research & Management Science
Srdjevic B. (2005). Combining different prioritization methods in AHP synthesis, Computers & Operations Research, 25, 1897-1919.
Јанковић-Милић В., & Станковић Ј. (2010). Бајесијански приступ вишекритеријумско јанализи у пословном одлучивању [Bayesian approach to multi-criteria analysis in business decision making]. Врњачка бања
Tahriri F., Osman M.R., Ali A., Yusuff R.M., Esfandiary A. (2008). AHP approach for supplier evaluation and selection in a steel manufacturing company. Journal of Industrial Engineering and Management, 1(2), 54−76.
Takeda E., Cogger K.O., & Yu P.L. (1987). Estimating criterion weights using eigenvectors: A comparative study. European Journal of Operational Research, 29(3), 360–369.
Torfia F., Farahanib R. Z., & Rezapourd S. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives, Applied Soft Computing, 10(2), 520–528.
Tzengc G.-H, Yanga J.L., Chiub H.N., & Yeh R.H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences, 178(21), 4166–4183.
Tzengc G.-H. & Huang J.-J. (2011). Multiple Attribute Decision Making: Methods and Applications. Chapman and Hall/CRC
Zopounidis C. & Doumpos M. (2002). Multi-criteria Decision Aid in Financial Decision Making: Methodologies and Literature Review. Journal of Multi-Criteria Decision Analysis, 11(4-5), 167−186.
Refbacks
- There are currently no refbacks.
© University of Niš, Serbia
Creative Commons licence CC BY-NC-ND
Print ISSN: 0353-7919
Online ISSN: 1820-7804