Ranking project success criteria in power engineering companies using fuzzy decision-making method

Nguyen, Phong Thanh; Nguyen, Thu Anh; Nguyen, Quyen Le Hoang Thuy To; Huynh, Vy Dang Bich; Vo-Ho, Viet-Khoa

doi:10.21833/ijaas.2018.08.011

Cited by 11 publications

(8 citation statements)

References 22 publications

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“…Finally, schedule management is one of the indicators used to assess the technical capacity of the contractor. The construction schedule of the work performed by the contractor must be in line with the overall progress of the project approved by the project owner (Luong et al, 2018;Nguyen et al, 2018c). The purpose of planning and managing the project schedule is to set the sequence of tasks (Khan et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

Identifying the key competitiveness indicators for construction contractors

al.¹

2019

Int. j. adv. appl. sci.

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In today's context of international economic integration and globalization, competition is an objective rule in the commodity production system. Competition is also part of the operational mechanisms of the global market economy. To improve enterprise competitiveness, construction companies need to be concerned. The process involves assessing the competitiveness of the contractors operating in construction activities and the publication of the ranking results to create transparency in the selection of the contractors and improve the quality of the bidding competition. This research identified the indicators necessary for assessing the competitiveness of a contractor in civil and industrial engineering in Vietnam. A survey was used to collect the data for the analysis. The results illustrate that the key competitiveness indicators (KCI) aggregated in six main groups: (1) management skills, (2) financing ability, (3) contractor image, (4) human resources strength, (5) relationships and marketing ability, and (6) technical capacity. This result provides useful information necessary to help construction contractors better understand their strengths and weaknesses and then take the related actions necessary to improve and develop their competitive strategies.

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Section: Resultsmentioning

confidence: 99%

Identifying the key competitiveness indicators for construction contractors

al.¹

2019

Int. j. adv. appl. sci.

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“…The following section manifests the computational process of the weights of the social capital indicators [34][35][36][37][38][39]:…”

Section: Research Methodology and Resultsmentioning

confidence: 99%

Application of Fuzzy Analytical Hierarchy Process based on Geometric Mean Method to Prioritize Social Capital Network Indicators

Huynh¹,

Nguyen²,

Nguyen³

et al. 2018

ijacsa

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Vietnam is striving to develop dynamically and overcome many human resource challenges. As the economy expands, the demand for jobs and human resource development has become increasingly critical. The pressures from reform and international integration are forcing many changes. New graduates must provide proof of their academic capabilities, while also actively developing their social capital to support their job search process. In fact, social capital is an essential capital for personal development as well as professional development of new graduates. This paper applies Fuzzy Analytical Hierarchy Process based on Geometric Mean Methodology to evaluate factors for measuring the social capital of graduates at Ho Chi Minh City Open University in Vietnam. The research results highlight the important role of social networks for graduates, in which a linking network is the most important, a bonding network is the second most important, and a bridging network is the third most important. In addition, the research shows that trust plays an even more important role than networks; and specific belief is more important than general belief.

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“…Also, the respondents were mainly heads or deputy heads of departments of human resources and administration. Finally, to calculate the weights of critical skills shortage in Vietnam's labor market, the fuzzy set theory based on analytic hierarchy process was adopted due to its advantage to deal with uncertainty, inaccuracy, and ambiguity of data input by experts [43][44][45][46][47]. For defuzzified the fuzzy weights, in this research, we applied the following CoA method [48]:…”

Section: Research Backgroundmentioning

confidence: 99%

Using Fuzzy Approach to Model Skill Shortage in Vietnam’s Labor Market in the Context of Industry 4.0

Nguyen

2020

Eng. Technol. Appl. Sci. Res.

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Human resource development is one of the main issues in the socio-economic development strategy and the transform of any regions in the context of the Industry 4.0. However, Vietnamese human resources have been poorly evaluated in the areas of quality, lack of dynamism, and creativity. Therefore, this paper presents fuzzy logic approach to ranking seven skills shortage in Vietnam’s Labor Market, namely lifelong learning, adaptive capacity, information technology capacity, creativity and innovation capacity, problem-solving capacity, foreign language competency, and organizing and managing competency. The result results shown that the problem solving skill is the largest gap between an enterprise’s requirements and the actual response of employees.

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Ranking project success criteria in power engineering companies using fuzzy decision-making method

Cited by 11 publications

References 22 publications

Identifying the key competitiveness indicators for construction contractors

Identifying the key competitiveness indicators for construction contractors

Application of Fuzzy Analytical Hierarchy Process based on Geometric Mean Method to Prioritize Social Capital Network Indicators

Using Fuzzy Approach to Model Skill Shortage in Vietnam’s Labor Market in the Context of Industry 4.0

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