An Analytic Hierarchy Process Model for Government Project Advisor Selection

Abstract

The objective of this research is to develop a technical model for advisor selection to study and analyze government projects. The researcher identified relevant factors through an extensive review of related literature and the Public Procurement and Supplies Administration Act, B.E. 2560 (2017). Five main factors and 17 sub-factors were initially identified. After that, the researcher applied the Delphi technique to interview 24 experts. The interviews were conducted in two rounds. In the first round, the experts assessed the relevance and significance of each factor for the technical evaluation of advisor selection, using the IOC-based technical assessment, resulting in four main factors and 13 minor factors. The second-round interview was then performed to determine the significance weights of main and minor factors using the Analytic Hierarchy Process. The results showed that the weighted values of four main factors which were the performance and previous experience carried the highest weight (0.53), followed by method and implementation (0.25), personnel responsible (0. 14) and financial (0. 08) respectively. To further validate the model, a five-rating scale questionnaire was distributed to 70 stakeholders. The results indicated that the most important factors were the performance and previous experience, method and implementation, personnel responsible. The financial factor was also considered important. In conclusion, the developed technical model aligns closely with stakeholder perspectives. The three most significant main factors accounted for a combined weight of 0.92. The model can be adapted for other government projects to select the advisor.