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    Modeling user perception of bus service quality: A case study in mauritius
    (2020-01-01)
    Champahom, Thanapong
    ;
    Jomnonkwao, Sajjakaj
    ;
    Karoonsoontawong, Ampol
    ;
    Hantanong, Natthaporn
    ;
    Beeharry, Roodheer
    This paper evaluates the perceived bus service quality by passengers in Mauritius. Structural equation modeling (SEM) was used to identify the unobserved latent variables relevant to public passenger bus service and reveal the relationships between these latent variables and customer satisfaction. The data were obtained from a customer satisfaction survey collected from 501 participants in Mauritius and three latent variables that described the expected service quality characteristics, namely Vehicle, Management, and Driver. The SEM results revealed that the most significant expectation was the quality of the vehicle that included the cleanliness and vehicle body. The second was driver and crews and the personal attributes of the bus service crew. The third anticipation was the overall management of the service. The findings of this research can provide crucial information for public transport bus operators to enable them not only to retain their current customers but also attract new customers.
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    What Makes university students use cloud-based e-learning?: Case study of KMITL students
    (2015-01-13)
    Atchariyachanvanich, Kanokwan
    ;
    Siripujaka, Nutchanon
    ;
    Jaiwong, Nattapong
    Cloud computing technology has been influential in overcoming problems in e-learning systems, such as the lack of scalability and storage limitation. Therefore, a framework for applying cloud computing on e-learning systems has been prepared. However, to develop a cloud-based e-learning system that matches well with the learners' needs and solves the current problems, it is important to know the learners' requirements. This research evaluated the key significant factors required for university students to use Cloud-based e-learning based on a research model, including the theory of motivation, and characteristics of cloud computing. In total, 250 students from King Mongkut's Institute of Technology Ladkrabang were surveyed by questionnaire. Data analysis was performed by factor and multiple regression analyses. Overall the factors that influence the intention to use cloud-based e-learning were identified as the availability, collaboration, cloud-based e-learning notifications, intrinsic motivation and extrinsic motivation. However, these account for only 62.9% of the usage intention, and so other factor(s) still remain to be determined.
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    Integrated factor analysis and fuzzy analytic network process (FANP) model for supplier selection based on supply chain risk factors
    (2015-01-01)
    Sinrat, S.
    ;
    Atthirawong, W.
    Currently, the supply chain management is an important part of several organizations. The risk in supply chain is a potential variation of outcomes which decreases the efficiency in operations. The supplier selection is one of the most critical functions to the success of a manufacturing firm. The objective of this study was to develop the supplier evaluation in supply chain risk approach based on an integrated factor analysis and Fuzzy Analytic Network Process (FANP) model. The model has applied to an electrical and electronic industry in Thailand. The framework of this study had two main thoughts. The first part was to investigate supply chain risk factors from data collection via questionnaire. The questionnaire was answered by 225 respondents in electrical and electronic companies in Thailand. By means of the statistical technique of factor analysis, it was revealed that supply chain risk factors can be categorized into six factors and thirty sub-factors. The second part was to develop a mathematical model for supplier selection decisions via using FANP by incorporating supply chain risk factors acquired from the first part. A detailed step by step implementation method for determining fuzzy scales and calculating weights factors and sub-factors were discussed and finally issues prioritize risk value for alternative best supplier were also mentioned.
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    Applying genetic algorithm and fourier series to WQI of Tha Chin river in Thailand
    (2012-12-01)
    Amornsamankul, Somkid
    ;
    Pimpunchat, Busayamas
    ;
    Duangchai-Yoosook, Sartja
    ;
    Triampo, Wannapong
    Water pollution is the main problem that effects on the community in Thailand. The Pollution Control Department in Thailand has indexed the water quality using eight parameters. In this paper, the main propose is to reduce eight parameters of water quality index(WQI) to four parameters which are dissolved oxygen (DO), total solid (TS), biological oxygen demand (BOD), and suspended solid (SS). The factor analysis, correlation analysis and fourier series are used to simulate the data. The data obtained from Tha Chin river during 2002 - 2007 is used in this model. The genetic algorithm is applied to find the weight of each parameter. The result shows that the modified WQI using four parameters provides the same result obtained from the model using eight parameters.