Tanapat Namjan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Tanapat Namjan has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Afaq Ahmad
Oslo Metropolitan University
1 shared publication - Burachat Chatveera
Department of Civil Engineering, Faculty of Engineering, Rangsit Campus, Thammasat University, Pathum Thani 12121, Thailand
1 shared publication - Gritsada Sua-Iam
Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Phra Nakhon, Bangkok 10800, Thailand
1 shared publication - Nutchapongpol Kongchasing
Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Phra Nakhon (RMUTP), 1381 Pracharat Sai 1 Road, Wong Sawang, Bang Sue, Bangkok 10800, Thailand
1 shared publication - Preeda Chaimahawan
School of Engineering, University of Phayao, Phayao, Thailand
1 shared publication - Sunun Monkaew
Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Phra Nakhon (RMUTP), 1381 Pracharat Sai 1 Road, Wong Sawang, Bang Sue, Bangkok 10800, Thailand
1 shared publication
Latest Publications
- Open Access
Contractor-Based Evaluation of Construction Cost Overrun Factors Using Matrix Analysis
The construction cost overrun is an important issue that should be addressed, as it directly impacts many construction companies. Our research objective is to study and rank the impacts of empirical attitudes on construction cost overruns using the matrix analysis method. The research began with a focus group of 78 respondents, including 40 project engineers from contractor construction companies, 18 heads of government sectors related to construction projects, and 20 construction academicians. Based on expert interviews and the focus group discussion, 13 relevant factors were identified, and a questionnaire survey was subsequently conducted for data collection. The results showed that labor shortages were the most important factor influencing construction cost overruns, with the highest eigenvector value of 0.1687. The ranking of factors based on the percentages of average construction cost overruns includes labor shortages, variation orders, financial capacity, material price fluctuations, and drawing conditions, accounting for 18.3%, 15.7%, 12.8%, 10.2%, and 9.0%, respectively. These findings demonstrate the applicability of matrix analysis as a systematic approach for prioritizing empirical managerial attitudes influencing construction cost overruns, thereby providing a structured basis for decision-making in construction cost risk management.
Open AccessContractor-Based Evaluation of Construction Cost Overrun Factors Using Matrix Analysis
The construction cost overrun is an important issue that should be addressed, as it directly impacts many construction companies. Our research objective is to study and rank the impacts of empirical attitudes on construction cost overruns using the matrix analysis method. The research began with a focus group of 78 respondents, including 40 project engineers from contractor construction companies, 18 heads of government sectors related to construction projects, and 20 construction academicians. Based on expert interviews and the focus group discussion, 13 relevant factors were identified, and a questionnaire survey was subsequently conducted for data collection. The results showed that labor shortages were the most important factor influencing construction cost overruns, with the highest eigenvector value of 0.1687. The ranking of factors based on the percentages of average construction cost overruns includes labor shortages, variation orders, financial capacity, material price fluctuations, and drawing conditions, accounting for 18.3%, 15.7%, 12.8%, 10.2%, and 9.0%, respectively. These findings demonstrate the applicability of matrix analysis as a systematic approach for prioritizing empirical managerial attitudes influencing construction cost overruns, thereby providing a structured basis for decision-making in construction cost risk management.