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<title>บทความ (Article)</title>
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<dc:date>2026-04-13T03:45:36Z</dc:date>
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<title>Index Comparing Level of Customers’ Image on Products of Messenger on Facebook and Instagram chat</title>
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<description>Index Comparing Level of Customers’ Image on Products of Messenger on Facebook and Instagram chat
Suntawat Soonthormahalap; Thanyanan Worasesthaphong
The purpose of this research was to construct index to compare levels of customers’ Image between&#13;
Messenger on Facebook and Instagram chat. Conceptual framework was based on American Customer&#13;
Satisfaction Index model. Stratified random sampling technique was applied to select 401 customers to answer&#13;
self-reported questionnaire. Data were analyzed by factor analysis and bivariate analysis. Research findings&#13;
revealed that levels of customers’ Image of Messenger on Facebook were significantly higher than those of&#13;
Instagram chat.
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<dc:date>2019-01-01T00:00:00Z</dc:date>
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<title>Factors Affecting Customers Satisfaction on Product of HomePro and Globalhouse</title>
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<description>Factors Affecting Customers Satisfaction on Product of HomePro and Globalhouse
Patcharee Wongrueng; Thanyanan Worasesthaphong
The purpose of this research was to determine factors affecting customer satisfaction/loyalty of&#13;
HomePro and Globalhouse Conceptual framework was based on American Customer Satisfaction Index Model.&#13;
Stratified random sampling technique was applied to select 407 customers to answer self-reported questionnaire.&#13;
Data were analyzed by Linear Regression Model. Research findings revealed that factors that significantly affected&#13;
customer satisfaction of HomePro and Globalhouse consisted of perceived quality and image.
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<dc:date>2019-01-01T00:00:00Z</dc:date>
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<title>Factors that Affect the Opportunity to Return to Use the Service Repeatedly of User Thai Post and Kerry Express in the Area of Muang District Prachuapkhirikhan Province</title>
<link>http://localhost:8080/xmlui/handle/123456789/1153</link>
<description>Factors that Affect the Opportunity to Return to Use the Service Repeatedly of User Thai Post and Kerry Express in the Area of Muang District Prachuapkhirikhan Province
Kanoakwan Ongard; Thanyanan Worasesthaphong
The purposes of this research were to reveal factors determining opportunity of revisiting customer.&#13;
Conceptual framework which is applied from the index model of the customer satisfaction. The data is collected&#13;
by using the stratified sampling from 423 people local and outsiders to answer self-reported questionnaire. Data&#13;
were analyzed by bivariate analysis and Ordered Probit model analysis. The result of the research can be&#13;
concluded that the factors such as image, satisfaction, suggestion, and loyalty of the customer positively yield&#13;
to the increasing chance of the repeat customer to happen according to the statistic from the data which can&#13;
be elaborated more that the most significant factor is the satisfaction. The conclusion can be drawn to the&#13;
improvement of Thai post office and Kerry satisfaction to fulfill the customer satisfaction which lead to the higher&#13;
chance of having repeat customer.
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<dc:date>2019-01-01T00:00:00Z</dc:date>
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<title>Index Comparing Level of Customers’ Satisfaction on Services of Chuenpran food center and the nine food center</title>
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<description>Index Comparing Level of Customers’ Satisfaction on Services of Chuenpran food center and the nine food center
Thanisara Chomchuenjai; Thanyanan Worasesthaphong
The purpose of this research was to construct index to compare levels of customers’ satisfaction&#13;
between Chuenpran food center and the nine food center. Conceptual framework was based on American&#13;
Customer Satisfaction Index model. Stratified random sampling technique was applied to select 400 customers&#13;
to answer self-reported questionnaire. Data were analyzed by factor analysis and bivariate analysis. Research&#13;
findings revealed that levels of customers’ satisfaction of Chuenpran food center were significantly higher than&#13;
those of the nine food center.
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<dc:date>2019-01-01T00:00:00Z</dc:date>
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