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This study aims to investigate how consumer's use of online food delivery (OFD) services is driven by its self-protective nature. Drawing on protection motivation theory, the unified theory of use and acceptance of technology, and diffusion of innovation theory, an integrated model was tested with 1,000 empirical data points to explain consumers' OFD use during the pandemic. Results confirmed the self-protective nature of OFD use by uncovering a significant positive effect of fear of COVID-19 on consumers' OFD ordering frequency. Perceived vulnerability contributed more strongly to an individual's fear of COVID-19 than perceived severity in dining activities. These findings theoretically expand the current understanding of OFD services and provide practical implications for OFD platforms, restaurateurs, and governments.
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Background: Post-COVID-19 syndrome is a new and debilitating disease without adequate treatment options. eHealth could be a reasonable approach for symptom management. Objectives: This study aims to evaluate the acceptance for eHealth interventions for symptom management in individuals with post-COVID-19 syndrome, as well as drivers and barriers influencing acceptance. Design: Cross-sectional study. Methods: This study was conducted from January 19 until 24 May 2022. Recruitment took place with a web-based survey. Acceptance and predictors of eHealth interventions were measured by the extended UTAUT model. Included in the model were the core predictor performance expectancy, social influence, and effort expectancy. Previously diagnosed mental illness was estimated and mental health by using the well-established Generalized Anxiety Disorder Scale-7 and the Patient Health Questionnaire Depression Scale. The effect of sociodemographic and medical data was assessed. Multiple hierarchical regression analyses as well as group comparisons were performed. Results: 342 individuals with post-COVID-19 syndrome were examined. The acceptance of eHealth interventions for symptom management was moderate to high (M = 3.60, SD = 0.89). Acceptance was significantly higher in individuals with lower/other education, patients with moderate to severe symptoms during initial COVID-19 infection, still significantly impaired patients, and individuals with a mental illness. Identified predictors of acceptance were age (ß = .24, p < .001), current condition including moderate (ß = .49, p = .002) and still significantly impaired (ß = .67, p < .001), digital confidence (ß = .19, p < .001), effort expectancy (ß = .26, p < .001), performance expectancy (ß = .33, p < .001), and social influence (ß = .26, p < .001). Conclusion: Patients with post-COVID-19 syndrome reported a satisfying level of acceptance and drivers and barriers could be identified. These factors need to be considered for the implementation and future use of eHealth interventions.
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Aim/Purpose The main aims of this research are to explore the moderating effects of gender on the relationships of such factors and the intention to use mobile learning, to examine the factors that influence m-learning acceptance in the universities and higher education institutions (HEI) in Iraq, and to investigate the influence of the intention to use on the actual use of mobile learning in (HEI). Background Over recent decades, mobile learning has played an increasingly important role in the teaching and learning process, especially for higher education. As such, acceptance and use of mobile learning has become a topic of interest within the education sector. In this regard, UTAUT is one of the widely used models for examining users' intention for use and acceptance of information technology.Methodology A survey method was used in this study involving a sample of 323 participants recruited from several universities in Iraq. Contribution This study has made significant contributions to the advancement of m -learn- ing in Iraq by developing a mobile learning model that can help guide practi- tioners to promote and facilitate the use of such an approach in universities.Findings The findings showed that gender moderated the relationships of social influ- ence (SI), effort expectancy (EE), and performance expectancy (PE) with re- spondents' intention to use m-learning. In addition, the findings confirmed the perceived enjoyment, performance expectancy (PE), effort expectancy (EE), self-efficacy (SE), and social influence (SI) had significant direct effects on in- tention to use m-learning. Furthermore, the respondents' intention to use or be- havioral intention had a significant impact on the actual use of m-learning.Recommendations for PractitionersIt is vital for university management and practitioners to encourage students about the advantages of mobile learning in higher education institutions. In Iraq, the research in mobile learning is still very new and there are few studies have analyzed the gender effect on the mobile technology acceptance in learn- ing. This study provides a roadmap of the gender effect on variables that could influence mobile learning acceptance in higher education institutions in Iraq.Recommendations for Researchers The gender moderation effect on the factors that influence the mobile learning acceptance is important, thus the new researchers are advised to examine the gender effect on other factors that could influence mobile learning acceptance. Moreover, cross-nation studies are needed to further validate the findings of this research because it was conducted from the perspective of a developing na- tion where mobile learning is still in its infancy. Future studies may broaden the research to examine additional potential elements, such as the quality of ser- vices in future models, which can help enhance the understanding of learners' acceptance and continuous usage of mobile learning as well as to improve the utility of UTAUT.Impact on Society The use of mobile learning has increased in its importance for higher education around the globe, including Iraq. Clearly, mobile learning has been pervasively used in education throughout the world due to the Covid-19 pandemic. During this time, students were required to study at home for months as per govern- ments' orders in order to avoid being affected by the virus. With mobile learn- ing, students were able to continue their studies;otherwise, they would have missed the academic year. Academic staff and administrators should therefore encourage and employ mobile learning for instruction, student communication, and exam administration.Future Research Given that the UTAUT model was used in higher educational settings for this research, it is advised to look into its application in corporate settings to see if comparable results can be repeated or not. More research is advised to look at the moderating effects of demographic factors, such as age and place of origin, in order to shed more light on students' adoption of mobile learning in HEIs in developing nations.
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BACKGROUND: Contact tracing is considered a key measure in preventing the spread of infectious diseases. Governments around the world adopted contact tracing to limit the spread of COVID-19 in schools. Contact tracing tools utilizing digital technology (eg, GPS chips, Bluetooth radios) can increase efficiency compared to manual methods. However, these technologies can introduce certain privacy challenges in relation to retention, tracking, and the using and sharing of personal data, and little is known about their applicability in schools. OBJECTIVE: This is the second of two studies exploring the potential of digital tools and systems to help schools deal with the practical challenges of preventing and coping with an outbreak of COVID-19. The aim was to explore the views, needs, and concerns among secondary school stakeholders (parents, teachers, pupils) regarding the implementation of three digital tools for contact tracing: access cards, proximity tracking, and closed-circuit television (CCTV). METHODS: Focus groups and interviews were conducted with secondary school students, parents, and teachers. The topic guide was informed by the Unified Theory of Technology and Acceptance. Data-driven and theory-driven approaches were combined to identify themes and subthemes. RESULTS: We recruited 22 participants. Findings showed that there is no single solution that is suitable for all schools, with each technology option having advantages and limitations. Existing school infrastructure (eg, CCTV and smart/access cards technology) and the geography of each school would determine which tools would be optimal for a particular school. Concerns regarding the cost of installing and maintaining equipment were prominent among all groups. Parents and teachers worried about how the application of these solutions will affect students' right to privacy. Parents also appeared not to have adequate knowledge of the surveillance technologies already available in schools (eg, CCTV). Students, who were mostly aware of the presence of surveillance technologies, were less concerned about any potential threats to their privacy, while they wanted reassurances that any solutions would be used for their intended purposes. CONCLUSIONS: Findings revealed that there is not one tool that would be suitable for every school and the context will determine which tool would be appropriate. This study highlights important ethical issues such as privacy concerns, balancing invasions of privacy against potential benefits, transparency of communication around surveillance technology and data use, and processes of consent. These issues need to be carefully considered when implementing contact tracing technologies in school settings. Communication, transparency, and consent within the school community could lead to acceptance and engagement with the new tools.
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Objective: The paper aims to identify the factors that determine accounting students' engagement in online-only learning during the COVID-19 pandemic. Methodology/research approach: The unified theory of acceptance and use of technology (UTAUT) is used as a theoretical lens. Survey responses provided by accounting students participating in online-only courses at Polish universities between May and June 2020 are analyzed, and regression analysis is employed to verify the research hypotheses. Findings: According to our findings, student effort expectancy and performance signifi-cantly and positively influence their engagement in online-only learning. Age is also significant for student engagement, with younger students being more engaged in online-only learning than older ones. Originality/value: The study contributes to the literature on distance learning as it in-vestigates a relatively unexplored group of students in an unprecedented situation. The paper also proposes new measures to capture UTAUT factors. The findings are also relevant for practice. It seems that after the pandemic, online learning will continue to be used and ensuring student engagement will become more relevant than technological issues, already mastered by both sides of the educational process. © 2022 Stowarzyszenie Księgowych w Polsce.
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Mobile messaging apps are currently a popular method in Malaysia for communicating while on the go, owing to its convenience, reliability, and contact-free feature of mobile application. Fueled by mobile internet and smartphone growth, mobile messaging apps have become a strong force in the mobile app sector, offering users an alternative to SMS-based texting paired with social media elements and enhanced features, such as group chats and photo sharing. The study was anchored using the unified theory of acceptance and use of technology 2 theory. A survey with 150 respondents and PLS analysis is used to determine the antecedents of mobile application continuance usage during the COVID-19 pandemic. The results revealed that there is an influence in the usage of mobile messaging apps among the younger generation in Malaysian public university students during the COVID-19 pandemic. The main implication shows that mobile application among young generations in public universities has become popular. The convenience usage of the internet has turned the world into a global village.
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Introduction: Information and communication technology (ICT) usage has grown rapidly, with a significant rise following the occurrence of the COVID-19 pandemic. This study assesses the relationships among task-technology fit, sense of virtual community, and the continuous intention to use electronic government services (e-government). Methods: Through quantitative approach using surveys, a total of 390 data was obtained from registered citizens in Tripoli municipality during the pandemic. The data were analyzed using partial least square-structural equation modeling (PLS-SEM). Results: The mediating role of the unified theory of acceptance and use of technology (UTAUT) model was observed, which shows that task-technology fit, sense of virtual community, and the consideration of society and its development are essential factors for citizens to use ICTs. Systems should entail features that meet the needs of citizens, community-building elements, and satisfactory performance. The importance of e-government ICTs in community development, particularly in a fragile state such as Tripoli, Lebanon, is the highlight of the current results. This can be beneficial for governmental authorities in the region of the Middle East, helping them to increase communication effectiveness by implementing appropriate digital means for the public during a crisis. Community development is a highly effective aspect that governments can implement in their digital services to provide opportunities for learning, awareness, and social progress to the public.
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The use of e-learning services is growing in different contexts, especially in the COVID-19 pandemic. This study aims to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Brazil using the extended technology acceptance model, unified theory of acceptance and use of technology (UTAUT), integrating quality construct adapted from the Service Quality Evaluation Model (ServQual). Examining a large sample (n = 1237) of students in Brazil through questionnaires, we investigate the behaviour of the users concerning the factors that influence the technology acceptance and the intention of the use in an e-learning system. Results show that intention to use an LMS is affected by the facilitating conditions (skilful, workable and easy to use), social influence (remarkable, preference for use and relevance), habit (routine, enjoyable and entertaining) and quality (reliable, tangibility, responsiveness and assurance), but not for effort expectancy (agility, knowledge and productivity). Our research findings suggest fostering replicate the model in different universities and countries understanding potential differences. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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Crowdsourced delivery has various advantages over conventional delivery methods, including a decrease in emissions and road congestion. These benefits grow as consumer loyalty is established due to network externalities. This study seeks to identify the factors influencing customer loyalty to crowdsourced delivery through the unified theory of acceptance and use of technology, the health belief model, the perceived value theory, and the trust theory. First, a questionnaire was administered to 500 respondents in Singapore, and the data was analyzed using structural equation modeling. The findings show that technology and health belief constructs have direct impacts on the perceived value of crowdsourced delivery, while perceived value has direct and indirect effects on consumer loyalty through trust. Overall, this study contributes to the literature theoretically and practically by developing a paradigm for understanding the growth of customer loyalty to crowdsourced delivery from the perspectives of consumers and health beliefs. It also offers operators and policymakers concrete areas for improvement in resource allocation, security, and marketing to increase overall consumer loyalty to crowdsourced delivery. © 2023 The Authors
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COVID-19 is one of the most important dilemmas that took place during the last few years. Logisticians worked hard to present a new mechanism called Autonomous Delivery Vehicles (ADVs) by which they afford help making life easier for people during pandemic while trying to reduce pollution on road as well. This work mainly aimed to explore Unified Theory of Acceptance and Use of Technology (UTAUT2) and the convenience of users - according to gender - to the idea of using Autonomous Delivery Vehicles (ADVs). A survey-based method was applied and presented. It was distributed online where a total of 450 participants had taken part to express their ideas. Structural Equation Modeling (SEM) was used to analyze the data and the results were discussed thoroughly. The model was conducted according to nine hypotheses. Results showed that all of them were supported except hypothesis 7, which is the trust in technology that negatively influenced the perceived risk leading to rejecting the hypothesis that supposes the validity of H7. It was concluded that the perceived risk and behavioral intention relationship were only significant for males while the perceived risk and trust in technology relationship were only significant for females.
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Technology acceptance models have been used in the higher education context to understand students' acceptance of various learning technologies. Not only was the use of e-learning technologies heightened during the COVID-19 pandemic, but the shift to predominantly online teaching and learning was abrupt. It has become clear that acceptance of e-learning technology will be crucial for higher education in a post-COVID-19 world. Thus, the purpose of this study was to determine the acceptance of e-learning applications by accounting students at residential universities in South Africa. The Unified Theory of Acceptance and Use of Technology (UTAUT2) was adapted for this study to examine the relevance of its constructs in understanding students' intent to use e-learning applications. Accounting students registered at four South African universities completed an electronic questionnaire (n = 1 864). Structural Equation Modelling using the Partial Least Squares method was used to test the hypothesised relationships. The findings indicate that performance expectancy, social influence, facilitating conditions, and habit have a significant relationship with behavioural intention to use e-learning applications. However, gender, academic performance, and level of study do not have a significant moderating effect on these relationships. The study reported in this paper contributes to technology acceptance research by testing the UTAUT2 model in a cross-institutional context with a larger sample size than used in similar studies. Furthermore, it has practical value for higher education policymakers, institutions, and lecturers in their attempts to adapt to blended and online learning models. © 2022 South African Journal of Accounting Research.
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The COVID-19 pandemic boosted the digital transformation of many services, including healthcare, and access to medical care using teleconsultation has increased rapidly. Thus, a growing number of online platforms have been developed to accommodate patients' needs. This paper examines the factors that predict the intention to use medical teleconsultation by extending the unified theory of acceptance and use of technology (UTAUT2) with the three dimensions of trusting beliefs and self-efficacy. A survey was administered to patients who had used a teleconsultation platform during the pandemic period. As one of the largest studies to date, a sample of 1233 respondents was collected and analyzed using a partial least squares approach, often mobilized in the information systems (IS) domain. Furthermore, a deep analysis using all recommended metrics was performed. The results highlight the significance of trusting beliefs, and self-efficacy in the adoption of digital healthcare services. These findings contribute to both theory and practice in COVID-19 research. © 2022 Elsevier Ltd
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This study examines the usage of eTax systems using the unified theory of acceptance and use of technology (UTAUT) as a theoretical base. A quantitative methodology using partial least squares-structural equation modelling (PLS-SEM) was used to test the study model against data collected from 209 taxpayers who completed the research questionnaire. The outcomes of this study manifest necessary theoretical extension of the UTAUT model and practical contributions during the pandemic of COVID-19. The findings of this study reveal that the behavioral intention to use eTax systems is highly influenced by performance expectancy, effort expectancy, social influence, social isolation, and anxiety about technology. Similarly, the behavioral intention of eTax systems and anxiety of COVID-19 infection demonstrate a substantial association with the actual usage of eTax systems. Interestingly, the study's findings also show that the anxiety of COVID-19 infection moderates the association bounded by usage intention and actual use of eTax systems. Copyright © 2022, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
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Nowadays many people use mobile applications for different purposes to manage their daily activities more conveniently and efficiently. Thus, mobile apps contribute to the optimization of consumers' shopping experience during the decision-making process. Based on the S-O-R framework, the present study explores the direct and indirect impact of utilitarian, hedonic and social attributes of mobile apps on consumers' attitudes and purchase intention through fast fashion mobile apps. An online survey was conducted to test the proposed conceptual model, and the partial least squares (PLS) modeling technique was used for the reliability and validity assessment of the reflective constructs. The results indicate that hedonic motivations have a higher impact on consumers' attitudes than utilitarian ones. Attitude has multiple mediation roles, while channel-switching behaviour caused by COVID-19 moderates the relationship between attitude and purchase intention. The findings are relevant for marketers and fashion retailers to optimize branded mobile apps from a utilitarian and hedonic point of view.
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Purpose: This study aims to leverage the Unified Theory of Acceptance and Use of Technology framework developed by Venkatesh et al. (2003) to explore the factors influencing faculty willingness and acceptance of online teaching at a major Saudi Arabian university as we move to a post-COVID-19 new normal. Design/methodology/approach: We surveyed business school faculty from a major Saudi Arabian university that transitioned to online learning because of the COVID-19 lockdown. We used partial least square structural equation modeling to examine the factors that impact faculty satisfaction and behavioral intention to continue using online teaching in the future. Findings: The results of the study indicated that when faculty perceive that e-learning improves their teaching performance and effectiveness (performance expectancy) and find that online teaching tools are relatively easy to use (effort expectancy), then they are more open to considering online teaching and using digital tools even after the pandemic. Research limitations/implications: The study uses a Saudi Arabian sample, so the results of the study may not be generalizable to other countries. The study was cross-sectional in nature;a longitudinal design would help in uncovering more stable relationships and enabling us to draw stronger conclusions. Lastly, the sample size for the study was relatively small, resulting in a loss of power in statistical testing. Notwithstanding these limitations, our study contributes to a greater understanding and appreciation of faculty acceptance of online teaching as we progress to a post-COVID-19 new normal. As such, it should be useful to educators, institutions and policymakers as they seek to reimagine business education going forward. Originality/value: The present study is one of the first scholarly studies to focus on exploring e-learning acceptance in a business school from a faculty perspective, considering the natural experiment that forced institutions to move to online teaching irrespective of their prior acceptance or experience with this teaching modality. © 2023, Emerald Publishing Limited.
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The COVID-19 pandemic compelled traditional in-person events to begin transforming into more innovative and safer experiences by utilizing various virtual experience platforms (VEP). This study explores the salient determinants affecting the self-paced hiking or race event attendees' intention to continue attending the event through the use of VEP based on two robust theories: the expectation–confirmation model (ECM) and the unified theory of acceptance and use of technology (UTAUT2) model. Data were collected from 243 event attendees of a self-paced hiking event in South Korea and analyzed using a PLS-SEM approach. The results of this study demonstrate that performance expectancy had the most significant effect on the event attendees' continuance intention to use VEP, followed by satisfaction, hedonic motivation, and price value. The implications of these findings for event firms and organizations utilizing VEP are discussed. [ FROM AUTHOR]
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Background: The coronavirus disease 2019 pandemic has led to an increase in remote consultations in health care. This study aimed to assess the acceptance of video consultation as an alternative to face-to-face in-office visits in general practice (GP) and to investigate its drivers and barriers. Methods: A cross-sectional study was conducted in Germany during the coronavirus disease 2019 pandemic from December 2020 to April 2021. Participants were recruited among patients in 16 GP surgeries. Assessed were sociodemographic and medical data as well as information and communications technology related data. Acceptance of video consultation and its predictors were determined using a modified questionnaire based on a short version of the renowned unified theory of acceptance and use of technology model. Results: In total, 371 participants were included in the data analysis. Acceptance of video consultation was moderate. A hierarchical regression revealed acceptance was significantly predicted by the PHQ-2, taking no regular medication, computer proficiency, knowledge about digital health care solutions, no prior use of video consultation, and the unified theory of acceptance and use of technology predictors performance expectancy, effort expectancy, and social influence. The extended unified theory of acceptance and use of technology model explained significantly more variance than the restricted unified theory of acceptance and use of technology model in acceptance of video consultation. Conclusions: In this study computer proficiency, existing knowledge about digital health care solutions and depressive symptoms functioned as drivers to acceptance, no prior use of video consultation could be identified as a potential barrier. Patients with regular medication have been particularly receptive to video consultation. The study confirmed the validity of the unified theory of acceptance and use of technology model in determining acceptance of video consultation. Considering that there is growing demand and acceptance for different approaches to engage with health care providers, additional steps should be taken to establish video consultation as a genuine alternative.
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Recently, education has changed from physical learning to online and hybrid learning. Furthermore, the outbreak of COVID-19 makes them more significant. An online learning management system (LMS) is one of the most prevalent approaches to online and distance learning. The acceptance of the students towards the LMS is significant and it can give either bad or good responses to ensure the success of LMS. However, the Universiti Tun Hussein Onn Malaysia (UTHM) has not yet implemented any study to examine their LMS. The Unified Theory of Acceptance and Usage of Technology (UTAUT2) model is used in this study to investigate students' Behavioral Intention and Use Behavior when using the LMS in UTHM. This study also introduces a new construct in UTAUT2 named Online Learning Value. 376 respondents took part in this survey. Descriptive Statistics, Reliability Analysis, Pearson Correlation Coefficient, and Multiple Linear Regression analysis were all used to analyze survey data. The outcome of this research is Performance Expectancy (β=0.129, p=0.014), Hedonic Motivation (β=0.221, p=0.000), Online Learning Value (β=0.109, p=0.036) and Habit (β=0.513, p=0.000) has influence on students' intention to use LMS. Besides that, Facilitating Conditions (β=0.481, p=0.000) are the most important factors in students' use behavior toward the LMS followed by Habit (β=0.343, p=0.000) and Behavioral Intention (β=0.239, p=0.000). By utilizing the UTAUT2 model, the constructs of technology acceptance related to students' adoption of LMS have been identified and may become a reference to the stakeholders for future enhancement. © 2022,International Journal of Advanced Computer Science and Applications. All Rights Reserved.
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Background: During the 2020 global coronavirus (COVID-19) outbreak, mobile delivery applications flourished, facilitating consumer access to groceries. Research has shown, however, that usage remains low in developing countries such as South Africa. Objectives: This research identifies factors that affect the acceptance and use of a mobile delivery application. It provides recommendations for application designers to improve application functionality and usability and for retailers to better understand customer needs. Method: This research adopted an interpretivist stance, utilising the Unified Theory of Acceptance and Use 2 (UTAUT2) as a theoretical framework. Data were collected and analysed from 4159 Google Play Store customer reviews using thematic content analysis. Reviews were anonymised, coded and categorised according to the UTAUT2 model constructs. Results: Performance expectancy and facilitating conditions were found to affect acceptance and use of the application. Effort expectancy, hedonic motivation and cost price had a moderate effect. Social influence, habit and price value did not impact the use of the mobile delivery application. Users will depend not only on recommendations from friends and family but also on service costs. Conclusion: This research revealed that users are more likely to accept and use a mobile delivery application if they find it helpful and receive quick assistance when facing technical challenges. Contribution: This research identifies factors that affect the acceptance and use of a mobile delivery application in a geographical area where usage remains low. Retailers may attract more customers and find more success in mobile delivery services by addressing customer concerns and challenges.
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Vaccine tourism is a new type of medical tourism that allows tourists to travel internationally to receive the vaccine occultation while they are traveling. There are strong possibilities that vaccine tourism will grow in popularity due to recent COVID-19 vaccine discrepancy between rich and poor countries and uncertainty of the current and future variation in diseases. Vaccine tourism can play important role to revive the stagnant tourism industry resulted from COVID-19 pandemic and serve as possible alternative type of tourism package for the future. This study aims to investigate factors that influence potential tourists to adopt vaccine tourism. Two hundred and fifty-four questionnaires were collected through tourism social media sites in Thailand. PLS-SEM was conducted to examine the causal relationships. The findings show that innovative and informative users are more likely to adopt vaccine tourism. The study confirms the need to consider personal attitudes when studying behavioral intentions. Furthermore, it highlights opportunities for the tourism industry to further promote the new type of medical tourism to the innovative and informative tourists.