Machine learning for the identification of competent project managers in the medium complexity construction projects of Nepal | |
| Author | Samrakshya Karki |
| Call Number | AIT Thesis no.CM-20-02 |
| Subject(s) | Machine learning Project managers--Nepal Construction projects--Nepal |
| Note | A thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Construction, Engineering and Infrastructure Management |
| Publisher | Asian Institute of Technology |
| Abstract | Project manager’s competency is crucial in construction sector for the successful completion of projects, particularly in case of developing countries like Nepal. Therefore, it is very essential to select competent project managers by finding the competency factors required by them. Hence, this research aims to identify the characteristics of competent project managers by expert opinion method and to evaluate their competency level by questionnaire survey to develop a prediction model using supervised machine learning approach via WEKA, a machine learning tool which predicts Project manager’s performance as “Higher than expected”, “Expected” or “Lower than expected” for the medium complexity construction projects of Nepal (from 200,000 USD up to 10 Million USD). The results illustrate that the project managers in Nepal have high score in leadership skills, personal characteristics, team development and delegation, communication skills, technical skills, problem solving/coping with situation skills and stakeholder/relationship management skills. Furthermore, among the seven classifiers (Naïve Bayes, Sequential Minimal Optimization, Multilayer Perceptron, Logistic, KStar, J48 & Random Forest), the accuracy given by Sequential Minimal Optimization algorithm is highest of all in both the percentage split and k-folds cross validation method. The model developed using Sequential Minimal Optimization classifier by k-folds cross-validation (k=10) is acknowledged as a final model. At final, both practical and research recommendations were proposed for the improvement of competency factors that are lagging behind in the project managers of Nepal and for the further development and use of model. |
| Year | 2020 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Construction Engineering and Infrastructure Management (CM) |
| Chairperson(s) | Hadikusumo, Bonaventura H.W.; |
| Examination Committee(s) | Santoso, Djoen San;Huynh Trung Luong; |
| Scholarship Donor(s) | AIT Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2020 |