Predicting students’ intention to continue business courses on online platforms during the Covid-19: An extended expectation confirmation theory

Alam, Samsul; Hoque, S.M. Saiful; Mahmud, Imran; Akter, Rozina; Rana, Sudhir

doi:10.1016/j.ijme.2022.100706

Cited by 24 publications

(24 citation statements)

References 86 publications

(136 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on ECM ( Dai et al, 2020 ; Zhao et al, 2022 ) and TAM ( Wu and Chen, 2017 ), scholars have proved that individual factors and environmental factors can promote learners’ continuance learning intention. However, the research objects mainly involve language courses, mental health courses, and business courses ( Alam et al, 2022 ; Cai and Wang, 2022 ; Wang et al, 2022 ), whereas the research on DA technology courses is lacking. Based on the S-O-R model, this study filled the missing gaps with respect to DA technology courses on key influencing factors affecting college students’ continuance learning intention; more specifically, the findings not only aided to clarify the influence path and mechanism of internal v. external factors, but also enriched the research system of college students’ continuance learning intention.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies on continuance intention to learn courses focused primarily on the learning platform of the curriculum. Scholars discussed the continuance intention of learners on different online learning platforms, including mainly the Massive Open Online Course (MOOC) platform ( Kim et al, 2021 ), mobile learning interfaces ( Alam et al, 2022 ) and other digital engagement platforms. Dai et al (2020) , drawing on the Expectation Confirmation Model (ECM), explored the factors underlying the continuance intention to learn on MOOC platform.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring college students’ continuance learning intention in data analysis technology courses: the moderating role of self-efficacy

Liu,

Ye,

Tan

2023

Front. Psychol.

View full text Add to dashboard Cite

IntroductionIn today’s digital economy, data resources have gained strategic recognition. Enterprises view data analytic capabilities as a core organizational competitiveness. This study explored factors influencing college students’ continuance learning intention in data analysis technology courses to inform the role of self-efficacy on the relationship between interactivity and continuance learning intention.MethodsThe research model underpinning the study was based on the Stimulus-Organism-Response model and flow theory. The model was validated using SmartPLS. A total of 314 valid questionnaires were collected via the standard online survey approach.ResultsAmong internal factors, study results showed both cognitive interest and self-efficacy had significant positive effects on continuance learning intention. Also, cognitive interest had a significant positive effect on self-efficacy. Among external stimuli, content quality, software quality, and interactivity had significant positive effects on self-efficacy. Software quality did not have a significant effect on cognitive interest. Importantly, self-efficacy registered a significant moderating role on the relationship between interactivity and continuance learning intention.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring college students’ continuance learning intention in data analysis technology courses: the moderating role of self-efficacy

Liu,

Ye,

Tan

2023

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Social influence theory describes how patients may inflate their satisfaction to foster a positive doctor–patient relationship, resulting in “satisfaction inflation” ( Raza et al, 2020 ). Expectancy confirmation theory emphasizes that satisfaction depends on the gap between service expectations and actual experience ( Alam et al, 2022 ). When social pressure regulates expectations, patient satisfaction evaluations may deviate.…”

Section: Theory and Hypothesesmentioning

confidence: 99%

Bounded rationality in healthcare: unraveling the psychological factors behind patient satisfaction in China

Qian,

Wang,

Huang

et al. 2024

Front. Psychol.

View full text Add to dashboard Cite

IntroductionPatient satisfaction is a crucial metric to gauge the quality of medical services, but the psychological factors influencing patient satisfaction remain insufficiently explored.MethodsThis study examines these psychological factors by applying the theory of bounded rationality to 1,442 inpatients in Hangzhou, China, whose data were collected using a questionnaire. One-way ANOVA, correlation analysis, and hierarchical regression were used to analyze patient satisfaction and its associated factors. Additionally, the path analysis of the structural equation model revealed the mechanisms behind the key psychological factors that influenced patient satisfaction.ResultsMedical risk perception, the social cognition of the medical environment, and social desirability bias had significant positive impacts on patient satisfaction. By contrast, negative emotions had a significant negative impact on patient satisfaction. Notably, patients’ negative emotions had both a suppressive effect and a positive moderating effect on the relationship between medical risk perception and patient satisfaction. Similarly, social desirability bias had a suppressive effect on the correlation between the social cognition of the medical environment and patient satisfaction, albeit with a negative moderating effect.DiscussionThese results suggest that when evaluating and improving patient satisfaction, accounting only for the factors that directly influence medical service quality is insufficient, as the indirect and moderating effects of patients’ negative emotions and the social cognition of the medical environment must also be considered. Medical service providers should thus address patients’ negative emotions, establish good doctor–patient relationships, optimize service environments, provide managers with medical risk education and training on negative emotions, and prioritize patient-centered care. Additionally, the government and relevant health departments should optimize medical policies, enhance fairness and accessibility, and create a positive social cognitive environment through public education and awareness campaigns.

show abstract

“… Kang and Park (2022) found that management students' satisfaction with online modules was positively influenced by instructors' useful interaction (feedback) during the sessions. Similarly, Alam, Mahmud, Hoque, Akter, and Rana (2022) revealed that task skills (TS) and task challenges (TC) significantly influenced business students' enjoyment and ultimately led to their satisfaction levels. Baber (2021) identified that instructor characteristics (attitude, competency, and interaction), student characteristics (motivation, mindset, and collaboration), and technology acceptance model (perceived ease of use and perceived usefulness) were positively associated with management students' behavioral intention to accept and use e-learning during the pandemic COVID-19.…”

Section: Research Themesmentioning

confidence: 99%

Teaching and learning delivery modes in higher education: Looking back to move forward post-COVID-19 era

Imran

Fatima

Salem

et al. 2023

The International Journal of Management Education

View full text Add to dashboard Cite

Predicting students’ intention to continue business courses on online platforms during the Covid-19: An extended expectation confirmation theory

Cited by 24 publications

References 86 publications

Exploring college students’ continuance learning intention in data analysis technology courses: the moderating role of self-efficacy

Exploring college students’ continuance learning intention in data analysis technology courses: the moderating role of self-efficacy

Bounded rationality in healthcare: unraveling the psychological factors behind patient satisfaction in China

Teaching and learning delivery modes in higher education: Looking back to move forward post-COVID-19 era

Contact Info

Product

Resources

About