26224ab4184a136f282-c16 20230217042704120 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2023 11 6 Department of Construction Management,Mass Rapid Transit Authority of Thailand, Bangkok Thailand Dr. Kittipos Kawesittisankhun https://orcid.org/0000-0003-4727-8803 Dr. Jakrapong Pongpeng https://orcid.org/0000-0003-1761-3017 Department of Civil Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok Thailand Under the current circumstances of highly competitive business operations, contractors should allocate their resources to develop the project team competencies, then leading to the improvement of the contractors’ business competencies. A question is how the contractors’ limited resources should be allocated to develop the project team competencies and thus maximize the contractor's business competencies. A literature review shows that few research works have addressed this question, showing a knowledge gap that should be filled. Therefore, this research aimed to answer this question by developing a linear programming model that suggests optimal resource allocation to improve the project team competencies. A survey case study in the Thai construction industry was used to illustrate the model application. The results of the model application show that the optimal proportion of resource allocation to develop the project team competencies should be as follows: physical health (32.80%), communication (16.30%), knowledge (15.60%), decision-making (10.60%), relationship management (9.80%), systematic construction work (9.80%), and systematic management (5.20%). These results can be used as a suggestion for the contractors’ optimal resource allocation to develop their project team competencies and maximize contractor business competencies. 03 30 2023 26 32 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true The authors had not received any funding. There is no conflict of interest to the best of our knowledge. The article does not require ethical approval and consent to participate in evidence. Data sharing is irrelevant in this article because no datasets were analyzed during the study. All authors have equal participation in this article. 10.35940/ijrte.F7469.0311623 https://www.ijrte.org/portfolio-item/F74690311623/