The major aim of this research is to demonstrate that causal relationships exist among various risk factors that necessitate identification of risk paths, rather than individual risk factors, during risk assessment of construction projects. International construction projects have more complex risk-emergence patterns because they are affected by global and foreign country conditions and project-related factors. Identification of a network of interactive risk paths, each of which initiated from diverse vulnerabilities of the project system, is considered to be a better reflection of the real conditions of construction projects than the use of generic risk checklists. In this study, using the data from 166 projects carried out by Turkish contractors in international markets and utilizing structural equation modeling (SEM) techniques, 36 interrelated risk paths were identified and the total effects of each vulnerability factor and risk path on cost overrun were assessed. SEM findings demonstrate that every r...

Managing knowledge effectively is critical to the survival and advance of a company, especially in project-based industries such as construction. However, capturing knowledge in construction projects is a tedious task, as knowledge is usually experience based, tacit, and hard to pass on to others. In this study, a survey was carried out among eight leading Turkish construction contractors that are operating within the international construction market. The specific objectives of this survey are to find out how the tacit and explicit knowledge are captured, stored, shared, and used in forthcoming projects, as well as major drivers and barriers for knowledge management. Based on the survey, it was determined that most of these firms do not have a knowledge management strategy and a systematic way of capturing and storing tacit knowledge. A conceptual framework is proposed to formalize the knowledge-capturing process within construction companies. To demonstrate how the conceptual framework can be implemente...

Risk management is about identifying risks, assessing their impacts, and developing mitigation strategies to ensure project success. The difference between the expected and actual project outcomes is usually attributed to risk events and how they are managed throughout the project. Although there are several reference frameworks that explain how risks can be managed in construction projects, a major bottleneck is the lack of a common vocabulary for risk-related concepts. Poor definition of risk and patterns of risk propagation in a project decrease the reliability of risk models that are constructed to simulate project outcomes under different risk occurrence scenarios. This study aims to extend previous studies in risk management by presenting an ontology for relating risk-related concepts to cost overrun. The major idea is that cost overrun depends on causal relations between various risk sources (namely, risk paths) and sources of vulnerability that interfere with these paths. Ontology is used to devel...

International joint ventures (IJVs) have become popular because of their importance as a strategic alternative in global competition. The measurement of the performance of IJVs has been an important research topic for a few decades, however there is no consensus on an appropriate definition and measurement of IJV performance. In this study, a model is proposed to assess IJV performance in construction. The validity of the proposed drivers and measures of performance is investigated and relationships between them are analyzed. The effects of interpartner fit/relations, structural IJV characteristics, host country factors, and project-related factors on IJV performance are examined through a questionnaire survey. IJV performance is defined by a four-dimensional construct that considers the performance of the project, the IJV partners, the IJV organization itself, and the perceptions of the IJV partners. The results point out the significance of the interpartner fit and the quality of partner relations for a...

Joint ventures have become popular because of their importance as a strategic alternative in global competition. One of the reasons why international joint ventures (IJVs) are difficult to manage is because the cultural distance between IJV partners has significant impact on alliance performance. Since construction projects are highly sensitive to external risks, the effect of the culture in the location in which the IJV operates is also significant. In this study, the effect of cultural similarity/difference relative to the national and organizational characteristics of partner companies on IJV performance is examined through a questionnaire survey. The impact of the cultural similarity/difference between an IJV partner and the host country is also assessed. The results of the study suggest that differences in organizational culture have a greater impact on IJV performance than differences in national and host country culture. The findings also reveal that similarity between the national cultures of IJV ...

The construction industry is overwhelmed by an increasing number and severity of disputes. The primary objective of this research is to predict the occurrence of disputes by utilizing machine learning (ML) techniques on empirical data. For this reason, variables affecting dispute occurrence were identified from the literature, and a conceptual model was developed to depict the common factors. Based on the conceptual model, a questionnaire was designed to collect empirical data from experts. Chi-square tests were conducted to reveal the associations between input variables and dispute occurrence. Alternative classification techniques were tested, and support vector machine (SVM) classifiers achieved the best average accuracy (90.46%). Ensemble classifiers combining the tested classification techniques were developed for enhanced prediction performance. Experimental results showed that the best ensemble classifier, obtained from the majority voting technique, can achieve 91.11% average accuracy. Based on Chi-square tests, the most influential factors on dispute occurrence were found as variations and unexpected events in projects. Other important predictors were all related to the skills of the parties involved. This study contributes to the construction dispute domain in three ways: (1) by proposing a conceptual model that combined the diverse efforts in the literature for identifying variables affecting dispute occurrence; (2) by highlighting the influential factors, such as response rate and communication skills, as indicators for potential disputes; and (3) by providing an empirical ML-based model with enhanced prediction capabilities that can function as an early-warning mechanism for decision-makers.