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

Factors Influencing Continuance Intention to Use Online Learning Management System Platform

Information technology (IT) developments and the COVID-19 pandemic have impacted learning processes, and all educational and organizational systems have adopted e-learning methods. A learning management system (LMS) is one of the most popular systems to support the e-learning process. This ubiquity, recent mass adoption, along with labor population trends in selfdevelopment, motivates us to investigate the factors involved in the continuance intention of LMS. Quantitative research was performed on a sample of 239 workers with LMS experience through an online questionnaire developed based on literature. We have found that the continuance intention was influenced by satisfaction and Task-Technology Fit (TTF). Furthermore, satisfaction was also influenced by performance expectancy, effort expectancy, and hedonic motivation. TTF was found to be influenced by task characteristics and technology characteristics. Finally, we have also found that performance expectancy is influenced by confirmation

MOOCs Continuance Intention in Malaysia: The Moderating Role of Internet Self-efficacy

Previous researches have validated that students intention to continue use MOOCs was mainly determined by Usefulness and Enjoyment. This paper takes a different approach from previous studies and postulates that relationship between Usefulness and Enjoyment on MOOCs Continuance Intention are moderated by Internet Self-efficacy. Partial Least Square Path Modelling (PLS-PM) approach has been employed to analyse the data collected. Using online survey data from 251 students registered with Malaysia MOOCs program, the results revealed that Internet Self-efficacy moderates the relationship between Enjoyment and MOOCs Continuance Intention. However, the moderating effect of Internet Self-efficacy showed insignificant result on the path between Usefulness and MOOCs Continuance Intention

MOOCs Continuance Intention in Malaysia: The Moderating Role of Internet Self-efficacy

Previous researches have validated that students intention to continue use MOOCs was mainly determined by Usefulness and Enjoyment. This paper takes a different approach from previous studies and postulates that relationship between Usefulness and Enjoyment on MOOCs Continuance Intention are moderated by Internet Self-efficacy. Partial Least Square Path Modelling (PLS-PM) approach has been employed to analyse the data collected. Using online survey data from 251 students registered with Malaysia MOOCs program, the results revealed that Internet Self-efficacy moderates the relationship between Enjoyment and MOOCs Continuance Intention. However, the moderating effect of Internet Self-efficacy showed insignificant result on the path between Usefulness and MOOCs Continuance Intention

Examining Individuals’ Utilization of SPOC: Extending the Task-Technology Fit Model with Online and Offline Perspective

Small Private Online Course (SPOC) platform enables individuals to carry out their learning tasks both online and offline. In order to understand individuals’ utilization of SPOC, this study develops a research model to examine the joint influences of three types of perceived fit manifested in perceived technology-task fit (TTF), perceived individual-technology fit (ITF) and perceived online-offline fit (OOF). A survey was conducted in a famous university of China and 371 data were collected from students who selected courses on the SPOC platform. Structural equation modelling method was used to examine the research model. The empirical results suggest that ITF is the most significant antecedent of individual performance expectancy, followed by OOF and TTF. Moreover, individual performance expectancy has a positive influence on user satisfaction and individuals’ continuance intention in the SPOC platform. A post-hoc analysis further indicates that student’s GPA positively moderates the relationship between online participation behavior and course performance. This study extends the traditional perceived fit framework by introducing perceived online-offline fit, and uncovers the antecedents and outcomes of individuals’ utilization in the emerging research context of SPOC

Mobile Payment Continuance Intention

A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information TechnologiesThe disruptive development of information and communication technologies over the last two decades has revolutionized the mobile phone industry, exponentially increased the number of mobile phone users, and encouraged companies to make various services available through a mobile phone. Mobile payment is one of the fastest growing services, enabling users to perform financial transactions over a mobile phone. The exponential growth of mobile payment has affected a number of sectors including finance and technology, thus reinforcing the need for a deep understanding of the impact of the continued use of mobile payment services. With this dissertation we contribute to a better understanding of the determinants of continuance intention to use mobile payment at the individual level. For this reason, were developed four studies, one literature review, and three empirical studies. In the first study (Chapter 2) we conducted a literature review of existing studies on individual continuance intention to use an information system. In Chapter 3 we assessed the continuance intention to use m-payment employing two theoretical models, the DeLone and McLean information system success model (D&M ISSM) and the expectation-confirmation model (ECM) in an African context. The impact of task technology fit (TTF) and overall trust on ECM to explain the continuance use of mpayment is analysed in Chapter 4. In the last study, Chapter 5, we assess the impact of culture on continuance intention to use m-payment, combining the ECM and Hofstede’s cultural dimensions. This dissertation provides several contributions for research and practice, contributing to the advancement of knowledge and implications for service managers, service providers, users, and researchers. The literature review applies meta-analysis and weight analysis from 115 empirical studies from continuance intention to use an information system (IS). The findings reveal that the factors with strongest influence on continuance intention to use an IS are affective commitment, attitude, satisfaction, hedonic value, and flow. Moreover, sample size, individualism, uncertainty avoidance, and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity, and indulgence moderate the relationship of satisfaction on continuance intention. From the first empirical study we examine the influence individual performance drivers on continuance intention to use m–payment in an African context. We find that the most important predictors of continuance intention to use m-payment are individual performance, use, and satisfaction. The second empirical study integrates TTF and overall trust theories and evaluates their relationships for continuance intention to use mobile payment. Findings show that use, individual performance, overall trust, and the moderation role of satisfaction are the most important constructs to explain continuance intention. The last empirical study assesses the impact of culture on m-payment continuance intention. The findings reveal that the relationships between confirmation on satisfaction and perceived usefulness, and perceived usefulness on continuance intention are moderated by uncertainty avoidance.O desenvolvimento disruptivo das tecnologias de informação e comunicação nas últimas duas décadas revolucionou a indústria da telefonia móvel, aumentando exponencialmente o número de utilizadores de telemóveis, encorajando desta forma as empresas a disponibilizar diferentes serviços através de um telemóvel. O serviço pagamento móvel é um dos serviços que se encontra em um rápido crescimento permitindo aos utilizadores efetuar transações financeiras através de um telemóvel. O crescimento exponencial do serviço de pagamento móvel tem afetado diferentes sectores, tais como finanças e tecnologia, reforçando a necessidade de uma compreensão profunda do impacto da utilização contínua dos serviços de pagamento móvel. Com o desenvolvimento desta dissertação, esperamos contribuir para uma melhor compreensão dos determinantes da intenção de continuar a usar o serviço de pagamento móvel a nível individual. De forma a concretizar este objetivo foram desenvolvidos um total de quatro estudos distintos. No primeiro estudo (Capítulo 2) realizámos uma revisão bibliográfica dos estudos existentes sobre a intenção de continuar a utilizar um sistema de informação. No capítulo três, avaliámos a intenção de continuar a utilizar o serviço de pagamento móvel, empregando dois modelos teóricos, o DeLone and McLean information system success model (D&M ISSM) e o expectation-confirmation model (ECM) num contexto africano. O impacto do task technology fit (TTF) e o overall trust no modelo ECM para explicar o uso contínuo do serviço de pagamento móvel foi analisado no capítulo quatro. No último estudo, capítulo cinco, avaliámos o impacto da cultura na intenção de continuação da utilização do serviço de pagamento móvel, combinando as dimensões culturais de Hofstede e o modelo ECM. Esta dissertação apresenta várias contribuições para a investigação e para a prática, contribuindo para o avanço do conhecimento, provocando implicações para gestores de serviços, prestadores de serviços, utilizadores e investigadores. O estudo da revisão bibliográfica aplicou meta-analysis e weight analysis a partir de 115 estudos empíricos de intenção continuar a utilizar um sistema de informação (SI). Os resultados revelam que os fatores com maior influência na intenção de continuação da utilização de um SI foram o compromisso afetivo, atitude, satisfação, valor hedónico, e flow. Além disso, o tamanho da amostra, individualismo, prevenção da incerteza, e orientação a longo prazo moderam a relação entre perceção da utilidade e intenção de continuar, distância do poder, masculinidade e indulgência moderam a relação entre satisfação e intenção de continuar. Para o primeiro estudo empírico, examinámos a influência dos fatores de desempenho individual na intenção de continuação da utilização do m-pagamento num contexto africano. Verificámos que os preditores mais importantes da intenção de continuar a utilizar o serviço de pagamento móvel são o desempenho individual, uso e a satisfação. O segundo estudo empírico integrou as teorias da TTF e da confiança geral e avaliou as suas relações para a intenção de continuação da utilização do pagamento móvel. Os resultados mostram que o uso, desempenho individual, confiança geral, o papel de moderação da satisfação são os fatores relevantes para explicar a intenção de continuar a utilizar o serviço de pagamento móvel. O último estudo empírico avalia o impacto da cultura sobre a intenção de continuação do pagamento móvel. Os resultados revelam que as relações entre confirmação, perceção de utilidade com satisfação, perceção de utilidade com intenção de continuar são moderadas pela prevenção da incerteza

Acceptance and Continuance Usage Intention of Mixed Reality for Australian Healthcare Interprofessional Education

Virtual-Reality and augmented-reality are becoming innovative teaching and learning approaches across many industries, including healthcare, especially during the COVID-19 pandemic. However, the adoption rate of this technology is very low, especially in Australian healthcare Interprofessional Education. This study investigates factors influencing adoption and use of mixed-reality technology for Australian healthcare IPE. In this study, a theoretical model based on the Expectation and Confirmation Model and Task Technology Fit is developed and will be tested to determine Australian healthcare professionals’ intentions to continue using mixed-reality for Interprofessional Education through three validated surveys using a voluntary non-probability sampling strategy, over a 10-week period, targeting 124 healthcare professionals at the Tweed hospital, NSW Australia. The research outcome will assist in determining the validity of the proposed hybrid model in the context of MR healthcare training. It may assist in developing a more suitable theoretical framework and future characteristics of MR for healthcare training

Examining teachers’ influence on MOOCs learners’ continuance learning intention: The mediating effects of perceived usefulness and satisfaction

Although Massive Open Online Courses (MOOCs) have attracted extensive attention among educational stakeholders, the issue of the high dropout rate has yet to be solved. The current study aimed to unpack teacher influence on MOOCs learners’ continuance learning intention, and to examine the mediating roles of students’ perceived usefulness and satisfaction. Quantitative data were collected from 166 Chinese university students located in 18 provinces. Results indicated that teacher influence is significantly associated with learners’ continuous learning intention, and when considering perceived usefulness and satisfaction, this relationship did not achieve significance but was mediated by students’ perceived usefulness and satisfaction, in addition, teacher influence did not exert a direct and significant impact on students’ satisfaction. The serial mediation model explained 65.8% of the variance of students’ continuance intention. This study uncovered the important role of teacher influence on students’ continuance learning intention in the Chinese MOOCs learning context. Results provided suggestions to policymakers, MOOCs platform and lecturers to promote MOOCs and design useful courses so as to engage students to learn continuously

A Study on Factors Impacting Satisfaction and Continuance Intention of E-Learning Among Undergraduates in Chengdu, China

This study examines the key factors impacting e-learning satisfaction and continuance intention among undergraduates with a major in dance performance in three private universities in Chengdu, China. The conceptual framework demonstrates the interrelationships among confirmation, system quality, service quality, perceived usefulness, satisfaction, information quality, satisfaction, and continuance intention. The researcher used a quantitative survey strategy to distribute questionnaires to a sample of 500 undergraduate students selected from three target universities. Three sampling techniques were employed in this survey, utilizing judgmental, quota and convenience sampling to collect data. The collected data was analyzed using validated factor analysis (CFA) and structural equation modeling (SEM), with model goodness-of-fit, correlation validity, and reliability tests conducted for each component. All exogenous variables were found to significantly impact the endogenous variable of interest, with perceived usefulness exhibiting the strongest on satisfaction. Additionally, satisfaction demonstrated a highly significant influence on continuance intention. In conclusion, system developers and educational institutions should actively collaborate to enhance the quality of learning resources. Besides instructing with self-made teaching materials, the online education system should leverage the advantages of the internet and network technology to develop          e-learning resources effectively

A Study Examining Undergraduate Students’ Satisfaction and Continuance Intention with E-learning in Beijing, China

Purpose: This study investigates the factors impacting undergraduate students’ satisfaction and continuance intention with e-learning in Beijing, China. The main theories were Information Systems Success Model (ISSM), Expectation Confirmation Theory (ECT), and Technology Acceptance Model (TAM). Perceived usefulness, confirmation, satisfaction, system quality, information quality, service quality, and continuance intention were all interconnected in the conceptual framework. Research design, data, and methodology: 479 questionnaires were completed by students in the four departments of the Beijing Film Academy. The study employed three sampling techniques: purposive sampling, quota sampling, and convenience sampling. To ensure content validity, the index of item-objective congruence (IOC) was utilized, along with a pilot test involving a sample of 50 participants, and the reliability of the measurements was assessed using Cronbach's alpha coefficient. Additionally, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were employed to analyze the data and generate the findings. Results: All eight hypotheses proposed in the study were supported. Confirmation has a significant impact on perceived usefulness. Perceived usefulness, confirmation, system quality, information quality, and service quality significantly impact satisfaction. Perceived usefulness and satisfaction significantly impact continuance intention. Conclusions: College teaching practitioners should focus to enhance e-learning’s efficiency and student’s motivation to continue using online education appropriately