Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention

Massive Open Online Courses (MOOCs) have been playing a pivotal role among the latest e-learning initiative and obtain widespread popularity in many universities. But the low course completion rate and the high midway dropout rate of students have puzzled some researchers and designers of MOOCs. Therefore, it is important to explore the factors affecting students’ continuance intention to use MOOCs. This study integrates task-technology fit which can explain how the characteristics of task and technology affect the outcome of technology utilization into expectation-confirmation model to analyze the factors influencing students’ keeping using MOOCs and the relationships of constructs in the model, then it will also extend our understandings of continuance intention about MOOCs. We analyze and study 234 respondents, and results reveal that perceived usefulness, satisfaction and task-technology fit are important precedents of the intention to continue using MOOCs. Researchers and designers of MOOCs may obtain further insight in continuance intention about MOOCs

What explains continuance intention in smartwatches?

Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43, 157-169. DOI: 10.1016/j.jretconser.2018.03.017Smartwatch is a recent and significant development in the domain of wearable technology. We study continuance intention and its determinants, using a combination of the expectation-confirmation model (ECM) with habit, perceived usability, and perceived enjoyment, to explain the continuance intention of smartwatches. Based on a sample of 574 individuals collected from the USA, we show that relationships of ECM enhance the continuance intention, such as confirmation, perceived usefulness, and satisfaction, and also the role of habit and perceived usability. Additionally, we find that habit was the most important feature to explain the continuance intention of smartwatches. The paper ends with a discussion of the study's limitations and implications.authorsversionpublishe

Determinants of continuance intention and word of mouth for hotel branded mobile app users.

This study examined the cognitive and affective factors that influence users\u27 post-adoption behavioral intention. Specifically, based on the Expectation Confirmation Model (ECM) (Bhattacherjee, 2001b) the impact of cognitive factors (i.e., perceived usefulness, confirmation of expectations, mobility, personalization and responsiveness) and affective factors (i.e., satisfaction, perceived enjoyment) on hotel branded mobile applications (apps) users\u27 continuance intention and WOM were examined. Hospitality firms invest considerable resources on technology solutions that are aimed at improving the consumer experience. However, for investments to be profitable firms must ensure that technology solutions are continuously used and ensure post-adoptive behaviors such as continuance intention and WOM. Data for the study were collected from 550 hotel branded mobile app users. After data were collected and cleaned, Partial Least-Square Structural Equation Modeling (PLS-SEM) was used to analyze the data. The results of the structural model indicated that continuance intention and WOM were directly influenced by satisfaction and perceived enjoyment; with satisfaction exerting the most influence on continuance intention. Conversely, perceived enjoyment was most influential to WOM. All cognitive factors were found to influence satisfaction and enjoyment, except for responsiveness and perceived usefulness. The results show that contextual factors have a more significant impact than previously established constructs. The results of the study allow hoteliers and hospitality technology consultants to identify the influential factors impacting post-adoptive behaviors. The study extends the literature on post-adoptive behavior and the ECM by including context specific factors (i.e. perceived mobility, personalization and responsiveness). This study contributes to the scare literature in the lodging industry literature examining users\u27 evaluations of mobile apps and post-adoptive behaviors in the hospitality industry. The study adds to the post-adoptive behavior literature by adding WOM as a second outcome to continuance intention. The treatment of contextual factors in this study, allowed to show the impact technology characteristics have on technology post-adoption

extending the expectation confirmation model

Tam, C., Santos, D., & Oliveira, T. (2018). Exploring the influential factors of continuance intention to use mobile Apps: extending the expectation confirmation model. Information Systems Frontiers, 1-15. https://doi.org/10.1007/s10796-018-9864-5The use of mobile applications (apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. Even though the mobile apps market is huge, few studies have been made on what makes individuals continue to use a mobile app or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile apps are satisfaction, habit, performance expectancy, and effort expectancy.authorsversionpublishe

Exploring the influential factors of continuance intention to use mobile apps : extending the expectation confirmation model

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe use of mobile applications (Apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. With a huge mobile Apps market, few studies have been made on what makes individuals continue to use a mobile App or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile Apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 valid questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile Apps are respectively; satisfaction, habit, performance expectancy, and effort expectancy

E-book adoption in academic and research libraries

Electronic books (e-books) have grown in importance in Academic and Research Libraries (ARLs). Some ARLs are now spending more on e-book acquisitions than hardcopy books. Whether this investment in e-book provision is justified by adoption outcomes is often the subject of simplistic, rather than rigorous research. This research has attempted to rigorously explore the phenomenon of e-book adoption in a case study ARL, namely, Edith Cowan University (ECU) Library. The study population consisted of ECU academics, students and non-academic staff. The research had three aims. First, by employing a theoretical framework based on technology adoption and information behaviour theory, the study sought explanations of adoption behaviours in the population. In a triangular research design, that included a survey, ECU users were invited to self-describe their own patterns of e-book behaviour. Survey data was used to determine if behaviour observed in transactions could be explained in terms of constructs derived from technology acceptance, information behaviour and other domain theories that seek to understand user interaction with information sources. Next, applying log analysis techniques to system-generated datasets of e-book usage, the researcher documented and analysed patterns of ECU e-book user behaviour in terms of the transaction record. Lastly, the study investigated whether transaction logs could be used with high reliability to profile users’ information behaviour providing the basis of a method for e-book individualisation. The study attempted to profile power users and to derive a predictive method for identifying them in log data. The study found many factors in technology acceptance theory that were significant in terms of adoption behaviour. E-book adoption in the case study ARL was found to be related to culture of use across the dimensions of habit/automaticity, preference for online resources and platforms, and information literacy. E-book collection sufficiency, purpose or task fit, convenience, functionality, and access/copy/print/download provisions were found to be significant in terms of performance expectancy. Dimensions of effort expectancy in finding/searching/reading e-books also significantly affected user behaviour. Other significant relations comprised perceived e-book hedonic attributes (pleasantness of experience, attractiveness of formats), familiarity (awareness, prior experience, differentiability), intimacy (personal likeness, emotional attachment, preferences), facilitating conditions (such as discovery, findability, connectivity/access, courseware embedded links), moderating factors (including respondent category, student programme, age, gender, and experience/years). These factors were found to be significant as sources of gratification and continuance intention. An original contribution to knowledge was also made by deriving a predictive equation for classifying users based on transaction log data. Further, the research developed a new model of higher level information behaviours displayed by sophisticated or so-called ‘power users,’ and generated a model of e-book information behaviour maturity that distinguishes nascent from mature behaviours. The model is grounded in self-reported information behaviour. As an expansive exploration of e-book usage patterns in a case study ARL using multiple methods, the work is also innovative both in terms of scope and as an exploration of e-book adoption in an Australian context. This research is significant in laying the foundations for machine-based user profiling and enhanced individualisation of e-books to make for more satisfying user experience and acceptance of e-books

Le manuel numérique en contexte post-secondaire : stratégies pédagogiques, nouvelles méthodes d’apprentissage, potentiel et limites

Comprend des références bibliographiquesCette recherche a été financée par le Conseil de recherches en sciences humaines du Canada (CRSH). La présente synthèse de connaissances a été présentée dans le cadre du concours 2015

Modelling continuance intention of citizens in government Facebook page: A complementary PLS approach

The main purpose of this paper is to examine the continuance intention (CI) of citizens in following government Facebook page. Applying theories of expectation-confirmation, and information system success on a sample of 362 students in Malaysia, and using Partial Least Squares-Structural Equation Modelling (PLS-SEM), the study finds that CI and satisfaction of government Facebook page is contingent upon information quality (IQ) of the Facebook page per se. IQ is found as a second order construct of five first order factors: reliability, completeness, relevancy, timeliness, and understandability. Satisfaction of government Facebook page is also found as a partial mediator to the relationship between IQ and CI of following government Facebook page. In addition, applying PLS multi-group analysis, the results show that different government Facebook pages moderate the relationships between IQ and satisfaction of government Facebook page, IQ and CI of following government Facebook page as well as satisfaction of government Facebook page and CI of following government Facebook page

Emotional Responses to Computer-Based Training Materials in Education

This paper discusses the results of an experiment that examines how emotional responses influence student satisfaction ratings with computer-based training materials. A comparison between tutorial-based and a simulation-based training showed significant differences in student emotional responses, satisfaction and continuance. The authors caution educators to consider the benefits and limitations of more automated assessment and learning simulation tools versus traditional application-embedded tutorials, as additional layers of training automation may lower student ease-of-use and satisfaction ratings, and ultimately, their interest in the subject

Web-based videoconferencing for teaching online : continuance intention to use in the post-COVID-19 period

Web-based videoconferencing has gained a great momentum worldwide, with extremely high adoption rates during the COVID -19 pandemic. The current study aims to investigate the use of web-based videoconferencing for teaching in the post-COVID-19 landscape. The study proposes and evaluates a model to predict continuance intention to use videoconferencing systems, from the perspective of University teachers. The proposed model combines constructs from the Technology Acceptance Model (TAM) and the Expectancy Confirmation Model (ECM). Sixty-six academic staff members filled out a survey questionnaire about their attitudes towards continuing using videoconferencing systems for teaching in the post-Emergency Remote Teaching (ERT) period. Partial Least Squares (PLS) was used to test the measurement and the structural model. The model explains and predicts 73% of the total variance in continuance intention to use. User satisfaction with web-based videoconferencing and perceived usefulness are the top two strong predictors. Implications for school administrators and instructional designers are discussed