Critical Factors Affecting Construction Price Index: An Integrated Fuzzy Logic and Analytical Hierarchy Process

Nowadays, many construction engineering and technology enterprises are evolving to find that prosperity is driven and inspired by an open economy with dynamic markets and fierce multifaceted competition. Besides brand and product uniqueness, the ability to quickly provide customers with quotes are matters of concern. Such a requirement for prompt cost estimation of construction investment projects with the use of a construction price index poses a significant challenge to contractors. This is because the nature of the construction industry is shaped by changes in domestic and foreign economic factors, socio-financial issues, and is under the influence of various micro and macro factors. This paper presents a fuzzy decision-making approach for calculating critical factors that affect the construction price index. A qualitative approach was implemented based on in-depth interviews of experts in the construction industry in Vietnam. A synthetic comparison matrix was calculated using Buckley approach. The CoA approach was applied to defuzzified the fuzzy weights of factors that affect the construction price index. The research results show that the top five critical factors affecting the construction price index in Vietnam are (1) consumer price index, (2) gross domestic product, (3) basic interest rate, (4) foreign exchange rate, and (5) total export and import

Speed profile optimization of an electrified train in Cat Linh-Ha Dong metro line based on pontryagin's maximum principle

An urban railway is a complex technical system that consumes large amounts of energy, but this means of transportation still has been obtained more and more popularity in densely populated cities because of its features of high-capacity transportation capability, high speed, security, punctuality, lower emission, reduction of traffic congestion. The improved energy consumption and environment are two of the main objectives for future transportation. Electrified trains can meet these objectives by the recuperation and reuse of regenerative braking energy and by the energy - efficient operation. Two methods are to enhance energy efficiency: one is to improve technology (e.g., using energy storage system, reversible or active substations to recuperate regenerative braking energy, replacing traction electric motors  by energy-efficient traction system as permanent magnet electrical motors; train's mass reduction by lightweight material mass...); the other is to improve operational procedures (e.g. energy efficient driving including: eco-driving; speed profile optimization; Driving Advice System (DAS); Automatic Train Operation (ATO); traffic management optimization...). Among a lot of above solutions for saving energy, which one is suitable for current conditions of metro lines in Vietnam. The paper proposes the optimization method based on Pontryagin's Maximum Principle (PMP) to find the optimal speed profile for electrified train of Cat Linh-Ha Dong metro line, Vietnam in an effort to minimize the train operation energy consumption

Social Capital and Corporate Performance: Evidence from State Capital Enterprises in Vietnam

The research has been conducted to explore the combination of three intangible resources, including social capital, entrepreneurship, and resilience capability on the performance of State Capital Enterprises (SCEs) in Vietnam. Both qualitative and quantitative approaches are applied in the study. An in-depth interview of ten CEOs at SCEs in Vietnam was made to explore new indicators for the contextual latent variables in the research models. By employing the data from the authors’ survey of 568 SCEs in Vietnam in 2019, using Cronbach’s alpha, confrmatory factor analysis (CFA) and path analysis (SEM), the mechanism that social capital impacts on SCE performance has been analyzed. In addition to the direct role, social capital indirectly affects corporate performance through entrepreneurship and resilience capability. It was found that social capital has a larger impact on entrepreneurship than resilience capacity. However, the contribution of resilience capacity to the frm performance is much more than the entrepreneurship’s in Vietnamese context. This study enriches the theory by proposing a measurement scale of the contextual latent variables as a result of in-depth interviews with experts using a qualitative analysis technique. In addition, the path analysis fndings suggest practical implications for managers to effectively use their resources in SCEs

How to drive brand engagement and EWOM intention in social commerce: A competitive strategy for the emerging market

Brand engagement and eWOM intention have been found to be critical factors driving competitive advantage for companies, as the evolution of social networking sites has changed the perspective of how companies engage with customers. Based on social exchange theory, the current research proposes an empirical model that emphasizes (1) the unique role of social commerce characteristics, including personalization, socialization, and information availability, in enhancing consumer-brand engagement, (2) the connection between consumer-brand engagement and eWOM intention, and (3) the moderating influence of trust towards such connection. A survey of 248 Facebook users with online shopping experience was employed. By using PLS-graph 3.0, structural equation modelling, the findings demonstrate that personalization and socialization positively influence brand engagement, which in turn leads to eWOM intention. Furthermore, trust moderates the brand engagement-eWOM intention relationship. Unexpectedly, information availability has shown no significant effect on brand engagement. The study encompasses the knowledge of social exchange theory into the social commerce environment by investigating the linkage between the social commerce environment and brand engagement. It contributes value to marketing theories by describing the moderating role of trust from the viewpoint of Gen Y. In addition, the study's findings may shed light on how firms in emerging markets can increase competitiveness by stimulating brand engagement and eWOM intention, as well as enhancing consumer trust in the comments regarding the products/services within the social commerce environment. © 2020 Tomas Bata University in Zlín. All rights reserved.Internal Grant Agency of the Faculty of Management and Economics, Tomas Bata University in Zlin [IGA/FaME/2018/015

Investigating determinants of quality of life: The case of older people in Ho Chi Minh City

This study was conducted to investigate the factors affecting the quality of life in terms of the health of the elderly in Ho Chi Minh City (HCMC), Vietnam. Health production theory was used to form the analytical framework for the study. The data set of 300 surveyed elderly people, which was randomly drawn from the list of 841,000 older people in HCMC by Excel random function, was used for quantitative analysis, including Exploratory Factor Analysis (EFA) and linear regression. Research results show that gender and marital status are not statistically significant while education, employment, bonding, bridging, and linking social capital statistically significant impact on the quality of life of the elderly. Specifically, the level of education improves the quality of life while employment reduces the quality of life. This finding is an important implication for policies related to the retirement age of employees. The research results have also provided empirical evidence on the potential of social capital, a resource existing in the network of relationships, in improving the quality of life besides other traditional resources. This finding is an important basis for policymakers in mobilizing social capital resources in the context of resource scarcity

Disputes in Managing Projects: A Case Study of Construction Industry in Vietnam

The construction industry in developing countries like Vietnam, which incorporates small and medium construction enterprises, is typically more prone to disputes and contract dispute-related lawsuits. A dispute may occur at any time in the life cycle of the project. It is sometimes solved with the intermediation of a lawyer or directly by stakeholders. Understanding the causes of disputes in a construction project not only improves the efficiency of a company but also increases the success of projects. This study was carried out using a questionnaire survey at construction projects in Ho Chi Minh City. Sample data with 117 observations were analyzed to find the disputing factors in construction projects: diversity of working style among the parties; reluctance to work; and poor teamwork. Correlation coefficient on a rank of factors between design consultant and contractor; Design consultant and project owners are positively correlated. The Exploratory Factor Analysis (EFA) analysis identified six groups of factors in construction disputes: cooperation, technology, economics, productivity, information, and behavior. The findings are useful for enterprise practice and provide participants with an overview of sources of dispute. Thus, a more complete risk management plan can be formulated, which will accelerate project progress and improve the likelihood of success

A Novel Self-organizing Fuzzy Cerebellar Model Articulation Controller Based Overlapping Gaussian Membership Function for Controlling Robotic System

This paper introduces an effective intelligent controller for robotic systems with uncertainties. The proposed method is a novel self-organizing fuzzy cerebellar model articulation controller (NSOFC) which is a combination of a cerebellar model articulation controller (CMAC) and sliding mode control (SMC). We also present a new Gaussian membership function (GMF) that is designed by the combination of the prior and current GMF for each layer of CMAC. In addition, the relevant data of the prior GMF is used to check tracking errors more accurately. The inputs of the proposed controller can be mixed simultaneously between the prior and current states according to the corresponding errors. Moreover, the controller uses a self-organizing approach which can increase or decrease the number of layers, therefore the structures of NSOFC can be adjusted automatically. The proposed method consists of a NSOFC controller and a compensation controller. The NSOFC controller is used to estimate the ideal controller, and the compensation controller is used to eliminate the approximated error. The online parameters tuning law of NSOFC is designed based on Lyapunov’s theory to ensure stability of the system. Finally, the experimental results of a 2 DOF robot arm are used to demonstrate the efficiency of the proposed controller