Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model

Although e-learning has been prompted to various education levels, the intention to continue using such systems is still very low, and the acceptance-discontinuance anomaly phenomenon (i.e., users discontinue using e-learning after initially accepting it) is a common occurrence. This paper synthesizes the expectation–confirmation model (ECM), the technology acceptance model (TAM), the theory of planned behavior (TPB), and the flow theory to hypothesize a theoretical model to explain and predict the users’ intentions to continue using e-learning. The hypothesized model is validated empirically using a sample collected from 363 learners of a Web-based learning program designed for continuing education. The results demonstrate that satisfaction has the most significant effect on users’ continuance intention, followed by perceived usefulness, attitude, concentration, subjective norm, and perceived behavior control as significant but weaker predictors. The implications of these findings for e-learning practitioners are discussed at the end of this work.     

Predicting Asian undergraduates’ intention to continue using social network services from negative perspectives

With the maturity of the social network service (SNS) market, the increasing sophistication of its customer or user base, and the growing intensity of competition, SNS success has now become a pressing issue. Understanding the antecedents of continuance intention is the first step to assure the success of an SNS. This study proposed a model to examine the key drivers of users’ intention to continue using SNSs from negative standpoints. The developed research model was empirically validated using the responses from a field survey of 236 Asian undergraduates. The results revealed that normative pressure and fatigue are the main determinants of the users’ intention to continue using SNSs. Moreover, the findings showed that satisfaction is a major determinant of fatigue, whereas negative critical incidents are crucial predictors of satisfaction. The negative critical incidents experienced when undergraduates use services include rumour dissemination, advertising interference, and low ease of use. The implications of the present findings for research and managerial practice were analysed and discussed.     

A model of organizational employees’ e-learning systems acceptance

This study examines the factors that influence employees’ adoption and use of e-learning systems and tests the applicability of the technology acceptance model (TAM) in the organizational context. We examined the relationship of employees’ perceptions of their behavioral intention to use e-learning systems in terms of four determinants (individual, organizational, task characteristics, and subjective norm), to further explore the effects of management and organizational support on the subjective norm. Data were 357 valid questionnaires from four industries in Taiwan. The findings indicate that organizational support and management support significantly affected perceived usefulness and intention to use. Individuals’ experience with computers and computer self-efficacy had significantly positive effects on perceived ease of use. Task equivocality significantly influenced perceived usefulness. Organizational and management supports significantly impacted the subjective norm, perceived usefulness, perceived ease of use, and intention to use. Additionally, the results suggest that external variables that affect perceived usefulness, perceived ease of use, and intention to use, need to be considered as important factors in the process of designing, implementing, and operating e-learning systems. The results provided a more comprehensive insight of individual, organizational, and task characteristics in predicting e-learning acceptance behavior in the organizational contexts, rarely tested in previous studies. By considering these identified factors, practitioners can take corresponding measures to predict or promote organizational employees’ e-learning systems acceptance more effectively and efficiently. Furthermore, by explaining employees’ acceptance behavior, the findings of this research help to develop more user-friendly e-learning systems and provide insight into the best way to promote e-learning systems for employees.     

Empirical study on continuance intentions towards E-Learning 2.0 systems

Although E-Learning 2.0 has played a significant role in training and development within the organisational environment, after an initial acceptance, its use is frequently discontinued. Prior studies offered insights into participation in E-Learning; however, there is limited research on continuance intention towards E-Learning 2.0 systems in organisational contexts. Furthermore, the most widely used research models, such as technology acceptance model (TAM), neglect the interactive social processes in E-Learning 2.0. Therefore, this study proposes a unified model integrating the TAM, the information system success model and social motivation theories to investigate continuance intentions towards E-Learning 2.0 in an organisational context. A sample of 284 participants from companies in China that have already implemented E-Learning 2.0 systems took part in this study. Structural equation modelling was conducted to test the research hypotheses. The results show that the unified model provides a more comprehensive understanding of the cognitive processes and behaviours related to this context: (1) perceived usefulness and attitude were critical to the continuance intention towards an E-Learning 2.0 system; (2) perceived usefulness was a significant mediator of the effects from perceived ease of use, information quality and social influence on continuance intention; (3) perceived ease of use, information quality and social influence were found to play important roles in predicting the continuance intention; (4) system quality played an important role in affecting the perceived ease of use; and (5) unexpectedly, social motivations had no significant effect on attitude.     

Understanding determinants of information systems users’ behaviour: a comparison of two models in the context of integrated accounting and budgeting software

This study examines determinants that affect the behaviour of information systems (IS) users, and influence of the users’ decisions to continue using IS by two models: the technology acceptance model (TAM) and the expectation-confirmation model of IS continuance (ECM-IS). The behaviour of professionals who utilise complex software solutions for performing their working tasks has been in the focus of this research. Based on data gathered from questionnaires filled-out by users of the integrated accounting and budgeting software (IABS), the confirmatory factor analysis has shown that both models demonstrate good factor, convergence and discriminatory validity, respectively. The comparison of the obtained results has been performed, and it shows that ECM-IS has a larger explanatory power (R²) over TAM, explaining 49% of the dependent variable (IS continuance intention) in relation to 29%. The IS continuance intention is determined by the users’ satisfaction and perceived usefulness. The user satisfaction is influenced by perceived usefulness and confirmation. The confirmation of the user's expectations has had a positive influence on perceived usefulness. The perceived ease of use has not exerted a significant influence on the user's intention of IS continuance.     

Impact of media richness and flow on e-learning technology acceptance

Advances in e-learning technologies parallels a general increase in sophistication by computer users. The use of just one theory or model, such as the technology acceptance model, is no longer sufficient to study the intended use of e-learning systems. Rather, a combination of theories must be integrated in order to fully capture the complexity of e-learners, who are both system users and learners. The current research presents an integrated theoretical framework to study users’ acceptance of streaming media for e-learning. Three streams of research provide the basis for this integrated framework: the technology acceptance model, flow theory and media richness theory. Students enrolled in an online section of an information systems course used one of three different combinations of text, streamed audio and streamed video. Regression analysis was used to test the hypotheses in this field experiment. Perceived ease of use was a predictor of perceived usefulness; both the perceived usefulness and the attitude of the user were predictors of intention to use. Richer content-presentation types were positively correlated with higher concentration levels but showed mixed results when correlated with perceived usefulness. Results from this study have practical implications for those interested in integrating streaming media into e-learning.     

Investigating students’ perceived satisfaction,behavioral intention,and effectiveness of e-learning: A case study of the Blackboard system

Although the benefits of e-learning have been discussed in various previous studies; it is a critical issue of better understanding the reasons why some learners are dissatisfied with the e-learning experience. Therefore, this research investigates learners’ satisfaction, behavioral intentions, and the effectiveness of the Blackboard e-learning system. A total of 424 university students were surveyed using a standard questionnaire. The results showed that perceived self-efficacy is a critical factor that influences learners’ satisfaction with the Blackboard e-learning system. Perceived usefulness and perceived satisfaction both contribute to the learners’ behavioral intention to use the e-learning system. Furthermore, e-learning effectiveness can be influenced by multimedia instruction, interactive learning activities, and e-learning system quality. This research proposes a conceptual model for understanding learners’ satisfaction, behavioral intention, and effectiveness of using the e-learning system.     

Understanding e-learning continuance intention: An extension of the Technology Acceptance Model

Based on the expectancy disconfirmation theory, this study proposes a decomposed technology acceptance model in the context of an e-learning service. In the proposed model, the perceived performance component is decomposed into perceived quality and perceived usability. A sample of 172 respondents took part in this study. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usefulness, information quality, confirmation, service quality, system quality, perceived ease of use and cognitive absorption.     

The effects of organizational learning environment factors on e-learning acceptance

Workplace learning is an important means of employees’ continuous learning and professional development. E-learning is being recognized as an important supportive practice for learning at work. Current research on the success factors of e-learning in the workplace has emphasized on employees’ characteristics, technological attributes, and training design elements, with little attention to workplace contextual effects. The study aims to investigate the impacts of organizational learning environment factors, including managerial support, job support, and organizational support, on employees’ motivation to use a workplace e-learning system. A model was proposed based on the expectancy theory of training motivation and the social influences and facilitating conditions in technology acceptance models. The model was tested on sample data collected from mainland China using Structural Equation Modeling and Moderated Structural Equation Modeling. The results suggested that employees’ perceived managerial support and job support had a significant impact on their perceived usefulness of the e-learning system for individual learning, and that perceived organizational support had a significant influence on the perceived usefulness of the e-learning system for social learning. Perceived usefulness for individual learning was found to completely mediate the environmental influences on individuals’ motivation to use the system, while perceived usefulness for social learning made partial mediation in the effects of the environmental factors on intention to use. In addition, perceived job support was found to have moderating effects on the relationship between employees’ perceived usefulness of the e-learning system and their intention to use the system. Consistent with previous findings, employees’ perceptions about the usefulness of the e-learning system have significant effects on their intention to use the system in the work setting.     

The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China

The long-term development of social networking sites (SNSs) relies on their users’ continuance of use. This paper tested the role of perceived social capital and flow experience in driving users to continue using SNSs based on the expectation–confirmation model of information systems continuance. Using data from online surveys of social networking sites users in China, the proposed model was tested by using the Partial Least Squares (PLSs) technique. The results show that perceived bridging and bonding social capital have different role in building users’ satisfaction and continuance intention: perceived bridging social capital has remarkable influence on users’ satisfaction and continuance intention, but perceived bonding social capital has none. Flow experience has influence on users’ satisfaction but none on continuance intention. In addition, gender has impact on users’ continuance intention.     

Web Acceptance Model (WAM): Moderating effects of user experience

Our study empirically examined how Davis's Technology Acceptance Model (TAM) helped managers predict a user's intention to revisit a website and how this changed over time as a user gained experience of the Internet and the website. The user's experience of the website played a moderating role. For less experienced users, perceived ease of use was found to be a more important factor in deciding to revisit the website, whereas perceived usefulness had more effect on more experienced users. Thus, web designers can identify and remove web factors that hinder user acceptance and address underlying obstacles to post-adoption usage.     

Understanding e-learning continuance intention in the workplace: A self-determination theory perspective

Based on self-determination theory (SDT), this study proposed an extended Technology Acceptance Model (TAM) in the context of e-learning service. In the proposed model perceived usefulness, perceived playfulness and perceived ease of use are predicted to be influenced by perceived autonomy support, perceived competence and perceived relatedness. Although TAM has received fairly extensive attention in prior research, this study is one of the first to examine the effects of motivational factors affecting TAM constructs. The results show that applying SDT to e-learning in a work setting can be useful for predicting continuance intention.     

Determinants of students’ continuance intention to use blogs to learn: an empirical investigation

This study examines factors influencing students’ continuance intention to use blogs to learn in an undergraduate-level course. The research uses constructs from relevant theoretical frameworks, including the technology acceptance model, social cognitive theory, innovation diffusion theory, and expectation–confirmation model. A survey administered to 108 university students in a Canadian university was analysed using the partial least squares technique. The results show that perceived usefulness and perceived compatibility have positive effects on students’ attitudes towards blog use; perceived ease of use did not. Perceived compatibility, perceived self-efficacy, and perceived support for enhancing social ties with blogs have significant effects on the positive impacts of learning with such tools. Attitude and positive impacts of learning with blogs influence satisfaction with blog use. Both attitude and satisfaction are determinants of students’ continuance intention to use blogs to learn. Satisfaction with blog use is the main predictor of continued use intention.     

An empirical examination of users' post-adoption behaviour of mobile services

Extant research has focused on the initial adoption and usage of mobile services and paid little attention to the post-adoption and continuance usage. However, unless users continue using mobile services, service providers cannot achieve success. Drawing upon the expectation confirmation theory, this research develops a mobile post-adoption model. The post-adoption behaviour includes three variables: continuance intention, recommendation and complaint. We conducted data analysis with partial least squares. The results indicated that expectation confirmation, perceived ease of use, perceived usefulness and usage cost significantly affect users' satisfaction, further determining their post-adoption behaviour. In addition, perceived usefulness has a direct effect on the continuance intention.     

User continuance intention to use cloud storage service

Cloud computing is a huge and important change in the field of network application in recent years to provide users with a completely different IT service and delivery mode. Among various cloud services, cloud storage is a service most closely related to web users’ need because it involves the storage of users’ all important data and backup files. In this study, a sample survey was conducted in Taiwan, and key factors influencing individual users’ adoption of the cloud storage service were analyzed and discussed based on Task-Technology Fit theory. The research results indicate that “cloud storage service”, “unstructured task”, “cloud storage self-efficacy” and “opinion of reference groups” all have significant positive influences on the “perceived usefulness”, which further has influence on users’ continuance intention to use the cloud storage service. The findings also support that the privacy protection risk and the lack of privacy-policy risk in the cloud storage service produce negative moderating effects on the perceived usefulness and the continuance intention.     

Investigating users’ perspectives on e-learning: An integration of TAM and IS success model

The purpose of this paper is to examine an integrated model of TAM and D&M to explore the effects of quality features, perceived ease of use, perceived usefulness on users’ intentions and satisfaction, alongside the mediating effect of usability towards use of e-learning in Iran. Based on the e-learning user data collected through a survey, structural equations modeling (SEM) and path analysis were employed to test the research model. The results revealed that “intention” and “user satisfaction” both had positive effects on actual use of e-learning. “System quality” and “information quality” were found to be the primary factors driving users’ intentions and satisfaction towards use of e-learning. At last, “perceived usefulness” mediated the relationship between ease of use and users’ intentions. The sample consisted of e-learning users of four public universities in Iran. Past studies have seldom examined an integrated model in the context of e-learning in developing countries. Moreover, this paper tries to provide a literature review of recent published studies in the field of e-learning.     

Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit

Mobile financial services (MFS) have become a critical issue in the financial sectors. An expanding application of mobile commerce, MFS play an important role in managing customer relationships. Thus, we proposed a model that incorporates three external variables—perceived enjoyment, perceived mobility, and personal habit—into the technology acceptance model (TAM) to assess the antecedents that influence continued usage intention in MFS. In addition, we examined the moderating effect of gender on customer relationships. Structural equation modeling was used, and 368 MFS users were investigated. The findings revealed that perceived mobility, personal habit, perceived usefulness, and perceived ease of use are the major antecedents that influence continued usage intention in MFS. However, perceived enjoyment is not significantly associated with intention. Moreover, gender moderates the relationships between the variables in the proposed model. Perceived mobility affecting usage intention will be stronger for men than for women, whereas personal habit affecting usage intention will be stronger for women than for men.     

Usability,quality, value and e-learning continuance decisions

Previous research suggests that an eventual information technology (IT) success depend on both its initial adoption (acceptance) and subsequent continued usage (continuance). Expectancy disconfirmation theory (EDT) has been successfully used to predict users’ intention to continue using information technologies. This study proposed a decomposed EDT model to examine cognitive beliefs and affect that influence users’ continuance decision in the context of e-learning service. The proposed model extended EDT by decomposing the perceived performance component into usability, quality, and value. Research hypotheses derived from this model are empirically validated using the responses to a survey on e-learning usage among 183 users. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usability, perceived quality, perceived value, and usability disconfirmation.     

Understanding continuance usage intention of mobile internet sites

Due to the high acquisition costs and low switching costs, retaining users and facilitating their continuance usage are crucial for mobile service providers. Integrating both perspectives of perceived utility and flow experience, this research identifies the factors affecting continuance usage intention of mobile internet sites. Data were collected through a survey, and data analysis was then conducted with structural equation modeling. The results indicated that system quality and information quality affect perceived usefulness, satisfaction and flow. And these three factors determine continuance usage intention. Among them, flow has the largest effect on continuance usage intention. The results imply that service providers need to improve users’ experience in order to facilitate their continuance usage of mobile internet sites.     

Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM

This paper reported the results of a survey study and provided evidences of empirically testing a model that integrates both technology acceptance model (TAM) and task-technology fit (TTF) model in understanding the determinants of users’ intention to use wireless technology in organizations. Questionnaires were distributed to organizations that bring mobile commerce into practice through the wireless handheld devices. The results indicated that both technology acceptance model and task-technology fit model are robust models by themselves. First, both perceived usefulness and ease of use significantly influence users’ behavior intention to utilize wireless technology. Perceived ease of use has significant effect on perceived usefulness. Second, characteristics of technology and task significantly predict the fit between these two constructs. Significant effect of characteristics of technology on perceived ease of use and usefulness were observed. Finally, significant relationships between TAM and TTF model were also observed. Task-technology fit is a significant direct predictor of technology adoption intention. Overall, users’ intention to adopt wireless technology in organizations was determined directly by fit between characteristics of task and technology as well as users’ perceived ease of use and usefulness.