Browsing by Subject "Information quality"
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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.
ItemThe new normal service quality and behavior food purchase intention during COVID-19This research aimed to determine the new normal service quality and behavior of food purchase intention during COVID-19. The objectives of this research were to explain that information quality has a significant impact on perceived risk. To determine service quality has a substantial effect on perceived risk, attitude, and satisfaction. To determine convenience has a significant effect on satisfaction. To explain the perceived value, perceived risk and attitude have a significant impact on purchase intention. The online questionnaire was used as a research tool for data collection at 400 sets in Bangkok, Thailand, thru convenience and snowball techniques in non-probability sampling. The data analysis was performed by descriptive statistics with frequency, mean, standard deviation. Then, inferencing statistics were used for hypothesis testing via simple linear regression and multiple linear regression at the significant level of 0.05. The results found that information quality and service quality have a substantial impact on perceived risk. Service quality has a significant effect on attitude. Also, service quality and convenience have a considerable effect on satisfaction. Lastly, the results revealed that perceived value, perceived risk, and attitude significantly impact purchase intention in the behavior of food purchase intention during COVID-19 on the new normal situation.