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Access type: UnknownAuthor: search.filters.author.Vajrapatkul, Adirek

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    A Bank’s Customer Citizenship Behaviour in the Multinomial Logistic Regression Model
    (2024-01-01)
    Vajrapatkul, Adirek
    ;
    Rojniruttikul, Nuttawut
    -This research aimed to study the factors affecting customer citizenship behavior (CCB) in the banking industry. The data were collected from questionnaires from bank customers in six districts of Bangkok, Thailand. The data were analyzed using EFA and MLR techniques. The study identified three latent variables that could affect the level of CCB, namely good corporate governance, quality of self-service technology, and quality of on-site service. The results showed that good corporate governance in transparency, accountability, and fairness significantly improves the level of CCB. In addition, the quality of self-service technology, which provided convenience to bank customers, could lead to increased CCB. Regarding on-site service quality, the results also showed that it was an important factor in increasing CCB. In terms of the impact of demographic variables, people aged 41 to 45, women, and low-income earners were more likely to have high levels of CCB compared to the reference group. This research emphasizes the need to adhere to corporate governance, quality of self-service technology, quality of on-site service, and customer characteristics to enhance CCB and bank success.
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    The Projection of Thai Manufacturing Export in the Bayesian VAR Model
    (2022-08-07)
    Rojniruttikul, Nuttawut
    ;
    Vajrapatkul, Adirek
    This research aims to study the effects of manufacturing value-added, consumer price index, and exchange rate on manufacturing exports in the context of Thailand by utilizing the Bayesian Vector Autoregression (BVAR) model with the annual modified data from 1960 to 2019. This model shows the interactions between these four variables and the forecast result. It was revealed that the effect of the exchange rate can pass through the consumer price index, which further affects manufacturing exports. According to the research results, government authorities should pay attention to domestic price control by controlling the general price level by indirectly controlling the exchange rate, which passes through its effect on domestic prices, and directly controlling domestic prices via monetary and fiscal policy. In addition, manufacturers should pay attention to the reduction of the production cost by investing in modern technology and reducing the per unit cost, which leads to a price reduction.
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    The Effect of Technology on Economy
    (2022-08-07)
    Rojniruttikul, Nuttawut
    ;
    Vajrapatkul, Adirek
    This research aims to ingestigate the effect of technological progress on capital input. To meet the research objective, the simple closed economy DSGE model was constructed. The Bayesian technique is then employed to estimate the model parameters by using the quarterly detrended data of Thailand, which covers the period between 2001:Q1 and 2019:Q2, including GDP, policy rate, and employment. The result showed that technological progress can produce potential effects on major economic variables, namely labor, capital, price, return, consumption, and national income, and fits some previous studies. Therefore, government investment in technology and support for technology development should lead to economic growth.
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    ICT and Thai Economic Growth Nexus in the Bayesian VAR Model
    (2021-07-08)
    Rojniruttikul, Nuttawut
    ;
    Vajrapatkul, Adirek
    This work presents the effects of internet usage, mobile subscription, ICT export, and ICT import on Gross Domestic Product in the context of Thailand by utilizing the Bayesian vector autoregression (BVAR) model with the 24 periods of annual modified data running from 1993 to 2016. This model shows the interactions between these five variables and the forecast of GDP. The results from this work revealed that internet usage, mobile subscription, and ICT export positively affect GDP in the short run manner. Whereas ICT import showed little evidence of a negative effect on GDP. Also, this work confirms the superior forecast performance of BVER over traditional VAR. According to the results of the analysis, we hence recommend that government authorities should 1) invest or support the investments in ICT infrastructure related to internet and mobile utilization, 2) reduce the cost of acquiring internet and mobile equipment and the cost of accessing the internet and mobile service, and 3) support the ICT exporters.
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    On the Forecast of Thai Industry Value Added
    (2021-07-08)
    Rojniruttikul, Nuttawut
    ;
    Vajrapatkul, Adirek
    Industry value added is a crucial factor that keep the manufacturers to survive in the high business competitive environment. Also it encourage the economic growth by offering the opportunity to generate high income from international trade. Thus achieving in creating high level of value added become the point of interest for both manufacturers and governments. Hence, to investigate what determine such value added. This work is designed to present the effects of some business and economic variables, namely gross domestic product, consumer price index, domestic credit to the private sector, and gross capital formation on industry value added in the context of Thailand by utilizing the Bayesian vector autoregression (BVAR) model with the 58 periods of annual modified data running from 1960 to 2019. This model shows the interactions between these five variables and the forecast of industry value-added. The results from this work revealed that there exist the Granger Causality and reactions between domestic credit to private, domestic capital formulation, domestic general price level, growth of the gross domestic product, and industry value-added. Thus, we recommend that government authorities should 1) encourage more credit to manufacturers, 2) invest more in industrial-facilitate infrastructure and support more on private investment in capital formulation, 3) induce more country income, and 4) control the general price level within the country.