Search results

The purpose of this paper is to predict implementation cost contingencies for residential construction projects in flood-prone areas, where floods with storms frequently cause serious damage and problems for people.

Expert interviews are conducted to identify the study variables. Based on bills of quantities and project documents, historical data on residential construction projects in flood-prone areas are collected. Pearson correlation analysis is first used to check the correlations among the study variables. To overcome multicollinearity, principal component analysis is used. Then, stepwise multiple regression analysis is used to develop the cost prediction model. Finally, non-parametric bootstrap method is used to develop range estimation of the implementation cost.

A list of project-related variables, which could significantly affect implementation costs of residential construction projects in flood-prone areas, is identified. A model, which is developed based on an integration of principle component analysis and regression analysis, is robust. Regarding range estimation, 10, 50 and 90 percent cost estimates, which could provide information about the uncertainty levels in the estimates, are established. Furthermore, implementation cost contingencies which could show information about the variability in the estimates are determined for example case projects. Such information could be critical to cost-related management of residential construction projects in flood-prone areas.

This study attempts to predict implementation cost contingencies for residential construction projects in flood-prone areas using non-parametric bootstrap method. Such contingencies could be useful for project cost budgeting and/or effective cost management.

This study aims to discover the impact of failure factors on stakeholder coordination performance (SCP) in the finishing phase of high-rise building projects.

Firstly, this study identifies potential failure factors affecting coordination performance as well as criteria for measuring SCP in the finishing phase of high-rise building projects. Afterwards, a survey questionnaire is designed to collect data from high-rise building projects in Vietnam. Using the factor analysis method, the study discovers the failure constructs. A structural equation model is then built to uncover the relationships between failure constructs and SCP.

The study identified four failure constructs which could significantly affect SCP, namely traditional adversarial relationship (TAR), incompetent parties (IP), poor project planning and organization (PPO) and delays of parties toward construction works (DP). The developed model indicated that TAR, PPO and IP significantly affected stakeholders' coordination performance in the finishing phase of high-rise building projects.

The results of the study fill the gap in knowledge by discovering the causal relationships between failure constructs and SCP in high-rise building projects. The results might provide an initial guideline for stakeholders during the finishing phase of high-rise building projects to enhance their coordination performance.

The purpose of this paper is to develop several predictive models for estimating the structural construction cost and establish range estimation for the structural construction cost using design information available in early stages of residential building projects.

Information about residential building projects is collected based on project documents from construction companies with regard to the design parameters and the actual structural construction costs at completion. Storey enclosure method (SEM) is fundamental for determining the building design parameters, forming the potential variables and developing the cost estimation models using regression analysis. Nonparametric bootstrap method is used to establish range estimation for the structural construction cost.

A model which is developed from an integration of advanced SEM, principle component analysis and regression analysis is robust in terms of predictability. In terms of range estimation, cumulative probability-based range estimates and confidence intervals are established. While cumulative probability-based range estimates provide information about the level of uncertainty included in the estimate, confidence intervals provide information about the variability of the estimate. Such information could be very crucial for management decisions in early stages of residential building projects.

This study could provide practitioners with a better understanding of the uncertainty and variability included in the cost estimate. Hence, they could make effective improvements on cost-related management approaches to enhance project cost performance.

This study aims to relate knowledge creation factors (KCFs) to construction organizations’ effectiveness, which can be measured by different effectiveness outcomes (EOs).

Data with regard to KCFs and EOs are collected from construction organizations in Vietnam using a survey questionnaire. Regression analysis is used to relate KCFs to EOs.

Various lists of specific KCFs that may significantly affect EOs are identified. Furthermore, several key KCFs that could play a vital role in enhancing different EOs are highlighted.

Owing to the use of data collected from construction organizations in Vietnam, the results of this study cannot be directly applied to other types of organization in other countries without using any other extra data.

Based on the results of relating KCFs to different EOs, construction organizations would know which specific KCFs are vital to their organizational effectiveness. Hence, they may enhance different organizational effectiveness aspects by focusing more on such KCFs.

In this study, 16 KCFs and 10 EOs which may be useful for organization-level knowledge management practices in construction are introduced. Furthermore, the specific controllable KCFs vital to different EOs are identified. Hence, construction organizations would establish KCFs-based strategies for their management activities to improve various organizational effectiveness aspects.

Design-build (DB) has become widely prosperous in recent years. This new approach could be applicable to construction projects in either developed or developing countries. However, the implementation process of DB in Vietnam encounters difficulties due to the unfamiliarity and inexperience with the approach. This study aims to identify the correlation and causality between critical success factors (CSFs) and DB project performance measured by key performance indicators (KPIs).

A questionnaire was used to collect the project data from public and private sector DB projects in Vietnam. The correlation between CSFs and KPIs was identified through correlation analysis. Then, the causality was explored through regression analysis.

The results of correlation indicate that parties’ capabilities play an important role in determining the success or failure of DB projects. In addition, the results of causality highlight six CSFs which significantly affect DB project performance, including resolving conflicts quickly; effective overall managerial actions in planning, organizing, leading and controlling; project participants’ satisfaction with the financial return from the project; competent multidisciplinary project team; project team members’ good/active attitudes to the job; and adequate funding throughout the project. It was also shown that there is no significant difference about the project performance between public and private sector DB projects.

Identifying the correlation and causality between CSFs and different aspects of DB project performance could help project participants to know the controllable CSFs on which they must focus more. Hence, they could manage these CSFs properly to increase the chance of meeting time, cost and quality objectives of DB projects in which they are involved and achieving the owners’ satisfaction.

The findings of this study could provide project participants in Vietnam, as well as similar developing countries, with a better understanding of the impact of CSFs on different aspects of DB project performance. Hence, they could make effective CSFs-based improvements on their management-oriented approaches to enhance different aspects of DB project performance.

Farmers' risk attitudes and risk perceptions play an essential role in shaping risk management strategies to address risks and uncertainties. Contract farming is considered as one of the feasible approaches to tackle farmers' concerns. However, risk perspectives under various categories have not been included in studies on farmers' preferences for contract farming in the literature, especially in Vietnam. This study aims to determine factors affecting farmers' choices of different contract farming practices.

The explanatory factor analysis (EFA) and multinomial logit model (MNL) were applied to explore the impacts of risk perspectives on farmers' preferences for contract farming. Data have been collected from 211 rice farmers in An Giang Province, “the rice bowl” of the Mekong Delta, Vietnam.

The study found that farm size, cooperatives, extension, market access and trust have significantly impacted on contract participation while a delay payment was a barrier for farmers' motivation to opt for the contract. Farmers' contract choices were also influenced by their risk attitudes and perceptions under different risk dimensions. The financial, policy and human risk-averse behavior predisposed farmers to single out the full contract while the policy and human risk-loving and production, market and finance risk-averse respondents were in favor of the marketing contract. Moreover, the findings indicated that the more farmers concerned about risk of weather and market, the more choices for the full contract, whereas the risk perceptions of weather and policy encouraged farmers to use the limited contract. By contrast, farmers who perceived the impacts of risk of diseases/pests and human were likely to adopt the marketing contract.

This study just focuses on collecting data from farmers’ perspective. Future studies involving stakeholders such as enterprises and policy makers are strongly recommended so as to design suitable contracts and enforce contract schemes effectively in Vietnam.

The findings also contribute to the literature on different types of contracts and the multidimensional aspect of risk for rice production in Vietnam.

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.

A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.

The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.

The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

Cambodian and Laotian students (CLS) are among the largest groups of international students in intra-ASEAN student mobility as well as in Vietnamese higher education institutions (HEIs). However, little has been researched on the factors influencing CLS’s decision to choose Vietnam as destination country. The purpose of this study is to investigate why CLS decide to go overseas and choose Vietnam as their host country among other opportunities as well as their perceptions of the decision.

Using qualitative methods and employing purposive sampling, data were collected by semi-structured interviews from CLS studying in a HEI in the Mekong Delta of Vietnam. The data were analysed against the push–pull framework to understand factors influencing the participants’ decision.

The findings show that CLS in the study were “pushed” by the perceived higher value of a foreign qualification and family encouragements. In terms of pull factors, they were attracted to choose Vietnam as the host country most observably due to scholarship opportunities. However other pull factors were also significant, especially the lack of certain skills in home countries and its congruence with Vietnam’s competitive strength in offering courses for those skills. In retrospect, the participants expressed a sense of optimism, though there was also certain reservation.

The small sample restrict the generalisability of the findings.

As an exploratory study, the findings can lay the ground for largerscale studies investigating CLS mobility in Vietnam and be employed for inbound student mobility policymaking reference for HEIs in Vietnam as well as in other developing countries.

This study investigates why Cambodian and Laotian international students decide to go to Vietnam, a developing country in the lesser-known part of international student mobility landscape. This is a topic that remains under-researched in the Asia-bound student mobility literature. Insights from the study can not only contribute to the scholarly gap but also offer implications for HEIs in Vietnam and other Asian countries.

This chapter explores the influences of Vietnamese culture coupled with national policies on gender equality on academic women’s advancement into senior leadership positions.

In-depth interviews with 20 mid-level women leaders and five top-level leaders were conducted at four different higher education institutions in the Mekong Delta (MD) in southern Vietnam. In addition, document analysis and participant observations contributed to the overall analysis, which allowed for the cross-check of data from multiple sources to investigate the participants’ understanding, perception, conceptualization, and interpretation of their experiences of advancing in their careers.

Findings show that there is a large gap between the policies and gender practices. Gender equality does not exist in reality, regardless of tremendous efforts from the Vietnamese government and policy makers to ensure it in all spheres of life. Additionally, patriarchal hierarchy remains dominant in the institutional administrative system, and Vietnamese Confucian ideology continues to confine and adversely affect both men’s and women’s perceptions of women’s social roles, status, and forms of social participation. Nevertheless, academic women still develop professionally and find their own ways to advance to a few key leadership positions at their institutions.

The sample of this study is limited to academic women in the MD in Vietnam. Future research should include more women and universities and colleges, from not only the southern part but also other regions of Vietnam. Further, international and comparative studies should be conducted to see differences in experiences of academic women from several Southeast Asian countries as they move up their career ladder.

Because there have not been any empirical studies about women and leadership in academia in the MD, this study serves as a resource and foundation for improving gender policies and practices as well as future research on this topic and gender issues of colleges and universities in Vietnam.