Browsing by Subject "System quality"
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ItemComparison of factors influencing Chinese people in Bangkok intention to use two online payment applications in ThailandThailand is the biggest travel destination for Chinese people, and more and more Chinese people come to Thailand to invest, travel, study and live. In addition to this, the trend for online payment application is more and more popular. Therefore, the main objective for this study was to find out and determined the factors influencing Chinese people in Bangkok intention to use Alipay and K-PLUS online payment application in Thailand. The factors that we studied were ease of use, convenience, system quality and usefulness. The survey method is applied questionnaire to collect data from a total of 385 respondents who had used both Alipay and K-PLUS online payment application in Thailand. The researcher applied both descriptive and inferential analysis to analyze the general information and test hypotheses. As the results, the researcher found out that ease of use, convenience, system quality and usefulness all has a significant positive influence on intention to use Alipay and K-PLUS online payment application.
ItemFactors impacting online learning usage during Covid-19 pandemic among sophomores in Sichuan Private UniversitiesThis study aims to examine factors impacting online learning usage among students in Sichuan private universities, China. The variables used to construct the conceptual framework are perceived ease of use, perceived usefulness, information quality, system quality, service quality, attitude towards using, satisfaction, behavioral intention and actual use. Research design, data and methodology: The quantitative approach (n=500) was conducted via online questionnaire, using judgmental sampling, quota sampling and convenience sampling. Before processing the data collection, content validity was reserved by index of item objective congruence (IOC). Pilot study of 40 samples was approved by Cronbach’s Alpha reliability test. Afterwards, the data was analyzed in SPSS using descriptive statistics, confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The results revealed that satisfaction had the strongest significant impact on behavioral intention, followed by perceived usefulness on attitude toward using, service quality on behavioral intention, behavioral intention on actual use, information quality on behavioral intention, perceived ease of use on attitude toward using and attitude toward using on behavioral intention. On the other hand, the relationship between system quality and behavioral intention was not significant. Conclusions: Academic practitioners were recommended to encourage online learning usage among students by developing better online learning system, technical support service and learning experience which led to successful adoption and learning effectiveness of students in higher education.
ItemFactors influencing online learning system usage among fourth-year students in higher education in Sichuan, China(Bangkok : Assumption University, 2022) Cao, YingquThis research aims to determine factors influencing online learning usage of students in higher education in Sichuan, China. The conceptual framework presents key constructs, including perceived ease of use, perceived usefulness, information quality, system quality, service quality, attitude toward use, satisfaction, behavioral intention, and actual use. The researcher applied a quantitative approach to collect data by distributing online questionnaires to 500 fourth-year students in three private universities. The sampling method used was nonprobability sampling, including judgmental sampling, quota sampling, and convenience sampling. Before the data collection, an index of item objective congruence (IOC) was used to validate items in the questionnaire, and Cronbach's Alpha Coefficient reliability test was used to measure the reliability of the questionnaire by conducting a pilot test with 40 participants. Afterward, data analysis was carried out employing descriptive analysis, confirmation factor analysis (CFA), and structural equation modeling (SEM). The findings revealed that the strongest significant relationship was the attitude toward use and behavioral intention, followed by behavioral intention and actual use, system quality and behavioral intention, and perceived ease of use and attitude toward use. Conversely, there were no supported relationships of service quality and behavioral intention, followed by information quality and behavioral intention, perceived usefulness and attitude toward use, and satisfaction and behavioral intention. Henceforth, academic practitioners and universities are recommended to provide an effective system, high service support standard, and promote the benefits of the online learning system to students.