Hospitality students at the online classes during COVID-19 – How personality affects experience?

Tavitiyaman, Pimtong; Ren, Lianping; Fung, Chloe

doi:10.1016/j.jhlste.2021.100304

Cited by 41 publications

(39 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The second identified research theme was focused on examining the antecedents and consequences of consumer emotions and psychological conditions during the COVID-19 pandemic. Particular attention has been paid to anxiety, which was examined in different research contexts [45,50,65]. Wong and Yang [45] tested a model of guests' experiences under enforced isolation and found a significant impact of anxiety on loneliness, with service quality acting as a buffer that mitigates this impact.…”

Section: Consumer Emotions and Psychological Conditionsmentioning

confidence: 99%

“…In a study on hospitable telemedicine experience, anxiety and loneliness were found to be reduced by patients' sense of empowerment [50]. In a hospitality education context, anxiety was caused by different students' personality traits [65]. Low levels of learning and financial anxiety influenced perceived online learning, which resulted in increased student satisfaction [65].…”

Section: Consumer Emotions and Psychological Conditionsmentioning

confidence: 99%

“…In a hospitality education context, anxiety was caused by different students' personality traits [65]. Low levels of learning and financial anxiety influenced perceived online learning, which resulted in increased student satisfaction [65].…”

Section: Consumer Emotions and Psychological Conditionsmentioning

confidence: 99%

“…However, this finding can be explained by the fact that many of the studies which did not adopt this technique used SEM for theory confirmation. These studies were drawing up on already existing theories, models, and/or frameworks, namely: protection motivation theory [28,30,40], perceived risk theory [29,51], theory of planned behavior [34], terror management theory [45], social exclusion theory [45], behavioral reasoning theory [38], innovation resistance theory [57], stimulus-organismresponse model [23,37,40], unified theory of use and acceptance of technology model [49], expectancy confirmation model [49], task-technology fit model [49], big five model of personality traits [65], and appraisal tendency framework [40]. Rather than for theory confirmation, PLS-SEM is more appropriate for theory development in hospitality and tourism research [68].…”

Section: Conclusion and Future Research Possibilitiesmentioning

confidence: 99%

“…The reviewed papers mostly utilized sample sizes with more than 300 respondents. In addition to consumers and consumer-related data, some studies also investigated managers/owners [22,46], staff members and professors [47], tourism experts [64], and hospitality students [65]. More research approaching different hospitality actors may be useful to address examined topics from a more holistic perspective.…”

Section: Conclusion and Future Research Possibilitiesmentioning

confidence: 99%

See 4 more Smart Citations

Sustainability in Hospitality Marketing during the COVID-19 Pandemic. Content Analysis of Consumer Empirical Research

Šerić

2021

Sustainability

View full text Add to dashboard Cite

This study performs content analysis of consumer empirical research dealing with sustainability issues in hospitality marketing literature during the outbreak of COVID-19. Papers published in the Social Sciences Citation Index (SSCI) ranked hospitality journals from January 2020 up to and including May 2021 are reviewed. The total of 46 papers met the search criteria and were subject to content analysis. The reviewed papers are classified based on research topics, variables, and themes; method and study design; data analysis; sample; industry; and location. Consumer perceptions are the dominant research theme, followed by technology innovation, communication and media, consumer emotions and psychological conditions, and other themes. Quantitative research is the main method with online surveys mostly used for study design. Analysis of moderation/mediation is the most frequently employed analytical method, whereas the majority of investigated samples have more than 300 cases. The restaurant industry received the highest attention, followed by hotel and other lodging industries, while the USA and Greater China are the most investigated geographical areas. Research findings are discussed according to the identified research themes and specific directions for future research are provided.

show abstract

Section: Consumer Emotions and Psychological Conditionsmentioning

confidence: 99%

Section: Consumer Emotions and Psychological Conditionsmentioning

confidence: 99%

Section: Consumer Emotions and Psychological Conditionsmentioning

confidence: 99%

Section: Conclusion and Future Research Possibilitiesmentioning

confidence: 99%

Section: Conclusion and Future Research Possibilitiesmentioning

confidence: 99%

See 3 more Smart Citations

Sustainability in Hospitality Marketing during the COVID-19 Pandemic. Content Analysis of Consumer Empirical Research

Šerić

2021

Sustainability

View full text Add to dashboard Cite

show abstract

Changes in university students’ behavioral intention to learn online throughout the COVID-19: Insights for online teaching in the post-pandemic era

et al. 2022

View full text Add to dashboard Cite

Many researchers investigated university students’ behavioural intention to undertake online courses during COVID. However, few examined how students’ intention might change throughout COVID by incorporating their learning capability and approaches. The universities in China went through a process from lockdown in February to reopening in September 2020. It provided a unique context for university students in China to experience emergent online learning for approximately six months before returning to normal face-to-face or blended learning on campus. The researchers conducted a questionnaire survey among 193 Chinese university students to investigate the changes in their behavioral intention to learn online throughout COVID. Additionally, the researchers explored the relationships between the participants’ behavioral intention and the factors of learning capability in general, application of specific online learning strategies, online course engagement levels, and academic performance. It was found that the participants’ intention to study online significantly increased during COVID and then slightly decreased after the university reopened. The participants’ intention of online learning after COVID was predicted by their prior intention, learning capability, application of online learning strategies, and online course engagement. The participants’ perceptions about online learning revealed that, when choosing future course delivery modes, they would a) reflect on their own disposition, capability, and needs, b) compare different learning modes, and c) examine course quality and teachers’ competency. The participants also shared advice regarding their expectation of future online courses which may help shape university educators’ pedagogical practices and provide insights for university online and blended course delivery from learners’ perspectives. Supplementary Information The online version contains supplementary material available at 10.1007/s10639-022-11320-0.

show abstract

Online learning during the Covid-19 pandemic: How university students’ perceptions, engagement, and performance are related to their personal characteristics

2023

View full text Add to dashboard Cite

University students faced unexpected challenges in online learning during the Covid-19 pandemic. Findings from early phases of the Covid-19 pandemic and before show that online learning experiences may vary from student to student and depend on several personal characteristics. However, the relative importance of different students’ personal characteristics for their online learning experiences at later phases of the Covid-19 pandemic is still unclear. This cross-sectional, correlational study investigates how personal characteristics of university students are related to five dimensions of online learning perception and to their engagement and performance in online courses. In an online survey, 413 students from German universities provided full information on their online learning experiences and personal characteristics in terms of demographic information, Big Five personality traits, self-regulation skills, three facets of self-efficacy, and two types of state anxiety. Results of multiple regression analyses show that students’ age was significantly positively related to all online learning perceptions and engagement in online courses. Our findings also confirm that self-regulation skills and academic and digital media self-efficacy are important factors in various online learning experiences. In contrast, students’ personality traits and state anxiety were less important for most online learning experiences. Noteworthy, several bivariate associations between personal characteristics and online learning experiences are not reflected in the multiple regression model. This underscores the need to consider relevant variables simultaneously to evaluate their relative importance and to identify key personal characteristics. Overall, our results show valuable starting points for theory development and educational interventions.

show abstract

Hospitality students at the online classes during COVID-19 – How personality affects experience?

Cited by 41 publications

References 51 publications

Sustainability in Hospitality Marketing during the COVID-19 Pandemic. Content Analysis of Consumer Empirical Research

Sustainability in Hospitality Marketing during the COVID-19 Pandemic. Content Analysis of Consumer Empirical Research

Changes in university students’ behavioral intention to learn online throughout the COVID-19: Insights for online teaching in the post-pandemic era

Online learning during the Covid-19 pandemic: How university students’ perceptions, engagement, and performance are related to their personal characteristics

Contact Info

Product

Resources

About