Acceptance of learning management system in university students: an integrating framework of modified UTAUT2 and TTF theories

Sharif, Arshian; Afshan, Sahar; Qureshi, Muhammad Asif

doi:10.1504/ijtel.2019.098810

Cited by 38 publications

(55 citation statements)

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“…The hypothesis H1 revealed that performance expectancy (PE) did not affect users' reuse intentions (RI). The finding is followed the prior similar research of Sharif et al (2019), who found PE had no effects on user behavioral intentions. H2 -H3 found that effort expectancy (EE) and social influence (SI) positively impacted users' reuse intentions.…”

Section: Resultssupporting

confidence: 84%

Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic

Wang

Khan

Khan³

2021

IJRBS

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The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers.

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Section: Resultssupporting

confidence: 84%

Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic

Wang

Khan

Khan³

2021

IJRBS

View full text Add to dashboard Cite

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“…The primary purpose of CFA is to determine the validity and reliability of the constructs that the study has included (Sharif et al, 2019). In this regard, the validity of the factors has been evaluated using factor loadings.…”

Section: Confirmatory Factor Analysis (Cfa)mentioning

confidence: 99%

Impact of COVID-19 on transportation and logistics: a case of China

Chu

et al. 2021

Economic Research-Ekonomska Istraživanja

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Recent research has shown that the COVID-19 pandemic has holistically affected the financial and industrial sectors of China, in a considerably adverse manner. This paper aims to examine the impact of the COVID-19 virus on the transportation and logistics sector in China. In this regard, the study opted for a quantitative method of research design, along with primary data collection. The explanatory variable here is the COVID-19 virus, whereas, the dependent variables are air freight, ocean freight, and land freight. The data analysis technique used is the Structural Equation Modelling (SEM) analysis, comprising of the Confirmatory Factor Analysis (CFA) and the path assessment method. A structured survey questionnaire was also used, and the survey questionnaire scale was set from strongly agree to disagree strongly. The findings revealed that the effect of COVID-19 on air freight is statistically negative and significant. Moreover, the impact of COVID-19 on land freight is statistically negative and significant, whereas the effect of COVID-19 is statistically insignificant in the context of ocean freight, particularly during the period of the COVID-19 pandemic. Therefore, keeping these results in consideration, policymakers can enhance their support, so as to increase the performance of the logistics and transportation sector in China.

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“…Therefore, the measurement model results indicate that the least value of Cronbach Alpha is computed to be 0.692 of remote work while 0.828 for the same variable in terms of composite reliability. That shows that all the constructs are statistically reliable (Afshan et al, 2018;Afshan & Sharif, 2016;Sharif et al, 2019). On the other hand, convergent validity is used to determine the relatedness between the variables, according to (Wong, 2019).…”

Section: Confirmatory Factor Analysis (Cfa)mentioning

confidence: 99%

Determining the impact of Covid-19 on the business norms and performance of SMEs in China

Sun

Zhang

Dincă

et al. 2021

Economic Research-Ekonomska Istraživanja

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This study's key purpose was to examine the impact of COVID-19 on SMEs' business norms and performance in China. The primary quantitative data have been collected through a survey questionnaire based on 330 participants. For analyzing the collected data, the use of the SEM technique has been made in this study. The researcher has adopted the data from the managers and employees belonging to the SMEs in China who are the research respondents. The data has been gathered from a sample size of 330. The number of distributed questionnaires was 340, whereas the responses gained were nearly 335, out of which 330 responses were selected. In the SEM technique, a CFA test was conducted to confirm the model's reliability and validity, whereas the results of path assessment were presented to examine the association between the variables. The findings of this study have confirmed the significant impact of COVID-19 on innovative operational procedures, profitability, remote work, and stakeholder satisfaction and safety.

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Acceptance of learning management system in university students: an integrating framework of modified UTAUT2 and TTF theories

Cited by 38 publications

References 0 publications

Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic

Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic

Impact of COVID-19 on transportation and logistics: a case of China

Determining the impact of Covid-19 on the business norms and performance of SMEs in China

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