Adoption of e-book among college students: The perspective of an integrated TAM

This study explored factors that affect consumer acceptance of e-book use by applying a model that incorporates the Technology Acceptance Model (TAM) as the theoretical basis of the hypotheses. The model differentiated external factors—compatibility, relative advantage, self-efficacy, and subjective norms—from internal factors—perceived ease of use, perceived usefulness, satisfaction with e-book usage, and intention to continue using e-books. The study (n = 1030) found statistically significant support for the hypothesized model, indicating that the tested relationships between the revised TAM and user intention to continue using e-books were positive and statistically significant. The study’s findings provide potentially significant implications that can be used to develop guidelines and a framework for assessing e-book users’ behavior.     

User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model

The present study was framed using the Technology Acceptance Model (TAM) to identify determinants affecting behavioral intention to use YouTube. Most importantly, this research emphasizes the motives for using YouTube, which is notable given its extrinsic task goal of being used for procedural learning tasks. Our conceptual framework included two proximal antecedents of behavioral intention as proposed by the TAM – perceived usefulness and perceived ease of use. Additionally, the four first-order constructs of user satisfaction, content richness, vividness, and YouTube self-efficacy, as well as one second-order construct of content richness, were additionally incorporated into the framework by elaborating the theoretical structure. Sample data was collected from 432 respondents who were given the opportunity to engage in procedural learning through YouTube in a lab setting. The results derived from fitting the structural equation model on the sample indicated that behavioral intention was significantly influenced by both perceived usefulness and user satisfaction. Moreover, task-technology fit, content richness, vividness, and YouTube self-efficacy emerged as significant predictors of perceived usefulness. However, perceived ease of use was not significantly predictive of either perceived usefulness or behavioral intention. Our proposed model explained 43.8% of the variance in behavioral intention. Overall findings suggest that YouTube may augment its function as a common channel for procedural learning and instruction.     

Influence of Expectation Confirmation,Network Externalities,and Flow on Use of Mobile Shopping Apps

ABSTRACT

The purpose of the current research is to examine the influence of expectation confirmation, network externalities, and flow on word-of-mouth intention and continued use of mobile shopping apps. A structured online survey questionnaire is used to collect data from 363 users of mobile shopping apps. Structural equation modeling is used to analyze the research model. The findings reveal that indirect network externalities, i.e., perceived complementarity, influence perceived usefulness of the mobile shopping app. Users’ confirmation of expectations significantly influences perceived usefulness, satisfaction, and continuance intention to use mobile apps. Satisfaction is found to be a significant predictor of continuance intention and word-of-mouth intention. Flow influences satisfaction of users, perceived usefulness, and continuance intention. Word-of-mouth intention is found to be an important post-adoption behavioral outcome. The results provide valuable theoretical insights for academics and managerial implications for providers of mobile shopping apps.     

Dimensions of self-efficacy in the study of smart phone acceptance

This study focuses on smart phone acceptance in a major delivery service company in Taiwan. Technology Acceptance Model (TAM) was tested in two different forms, the original and with self-efficacy added. A two-dimensional improvement to the theory of self-efficacy was investigated in this research. Only assisted self-efficacy was related to both perceived ease of use and perceived usefulness, but Individual Self-efficacy was only a predictor of perceived ease of use. This result offers new evidence to the debate of the role of self-efficacy on TAM constructs. Interesting findings including a strong influence of perceived ease of use on perceived usefulness and behavioral intention were compared to prior studies to add additional insights for future research.     

Customers’ perceptions and intention to adopt Internet banking: the moderation effect of computer self-efficacy

In the past, the conventional concentration of Internet banking (IB) research has been on technology development, but this is now shifting to user-focused research. It has been suggested that potential users of IB services in Malaysia may not adopt the system even if they are available, due to their perceptions of this application and their level of confidence in using it to solve their banking needs. This study therefore employs the extended technology acceptance model as the theoretical framework for assessing the influences of perceived usefulness, perceived ease of use, perceived reliability, and computer self-efficacy on IB adoption in Malaysia. This study scrutinizes the moderation effect of computer self-efficacy on perceptions–intention relationships. Based on data from a sample of 133 Internet-using bank customers collected through a field survey, it was found that perceived usefulness and perceived ease of use were strong determinants of behavioral intention to adopt IB, while perceived reliability has no direct relationship with intention. Computer self-efficacy significantly moderates the relationship of perceived usefulness and perceived ease of use with intention.     

Factors influencing beliefs for adoption of a learning analytics tool: An empirical study

Present research and development offer various learning analytics tools providing insights into different aspects of learning processes. Adoption of a specific tool for practice is based on how its learning analytics are perceived by educators to support their pedagogical and organizational goals. In this paper, we propose and empirically validate a Learning Analytics Acceptance Model (LAAM) of factors influencing the beliefs of educators concerning the adoption a learning analytics tool. In particular, our model explains how the usage beliefs (i.e., ease-of-use and usefulness perceptions) about the learning analytics of a tool are associated with the intention to adopt the tool. In our study, we considered several factors that could potentially affect the adoption beliefs: i) pedagogical knowledge and information design skills of educators; ii) educators' perceived utility of a learning analytics tool; and iii) educators' perceived ease-of-use of a learning analytics tool. By following the principles of Technology Acceptance Model, the study is done with a sample of educators who experimented with a LOCO-Analyst tool. Our study also determined specific analytics types that are primary antecedence of perceived usefulness (concept comprehension and social interaction) and ease-of-use (interactive visualization).     

Remote patient monitoring acceptance trends among older adults residing in a frontier state

This pilot study aims to present a methodological approach for investigating remote patient monitoring system acceptance trends for older adults residing in a frontier state. For this purpose, extended Technology Acceptance Model (TAM) variables, which included subjective norm, perceived usefulness, perceived ease of use, and behavioral intention were investigated using growth curve methods and modern resampling techniques. Results revealed our methodological and analytical approach shows promise for investigating technology acceptance over time on subjects where little literature exists and where recruiting adequate sample sizes for statistical power purposes may be challenging. Results of the data analysis showed there was a significant and reliable linear trend on subjective norm. Time did not predict perceived usefulness, perceived ease of use, or behavioral intention, indicating the levels of these factors were high and stable over the course of the study. Older adults accepted remote patient monitoring, and family and friends may influence technology acceptance promoting behaviors. The longer participants used the technology, the more they perceived those important to them would want them to use it. Attention to social influence to optimize the implementation of in-home health monitoring among this population is warranted. Recommendations for future research are provided.     

Understanding User Satisfaction With Instant Messaging: An Empirical Survey Study

The current article examines user satisfaction with instant messaging in building and maintaining social relationships with friends, family members, and others. The research model integrates motivation theory with media capacity theories to explain how the attributes of media capacity (e.g., social presence and media richness) and users' intrinsic and extrinsic motivations toward using instant messaging influence user satisfaction. Data were collected from a sample of 247 Chinese university students via an online survey. The results suggest that perceived enjoyment, perceived social presence, and perceived usefulness are key to user satisfaction. Perceived social presence and perceived media richness are positively associated with perceived enjoyment. It was also found that perceived enjoyment, perceived social presence, and perceived media richness have significant effects on perceived usefulness. Of interest, perceived enjoyment and perceived social presence have stronger effects on user satisfaction than perceived usefulness.     

Warn me now or inform me later: Drivers' acceptance of real-time and post-drive distraction mitigation systems

Vehicle crashes caused by driver distraction are of increasing concern. One approach to reduce the number of these crashes mitigates distraction by giving drivers feedback regarding their performance. For these mitigation systems to be effective, drivers must trust and accept them. The objective of this study was to evaluate real-time and post-drive mitigation systems designed to reduce driver distraction. The real-time mitigation system used visual and auditory warnings to alert the driver to distracting behavior. The post-drive mitigation system coached drivers on their performance and encouraged social conformism by comparing their performance to peers. A driving study with 36 participants between the ages of 25 and 50 years old (M=34) was conducted using a high-fidelity driving simulator. An extended Technology Acceptance Model captured drivers' acceptance of mitigation systems using four constructs: perceived ease of use, perceived usefulness, unobtrusiveness, and behavioral intention to use. Perceived ease of use was found to be the primary determinant and perceived usefulness the secondary determinant of behavioral intention to use, while the effect of unobtrusiveness on intention to use was fully mediated by perceived ease of use and perceived usefulness. The real-time system was more obtrusive and less easy to use than the post-drive system. Although this study included a relatively narrow age range (25 to 50 years old), older drivers found both systems more useful. These results suggest that informing drivers with detailed information of their driving performance after driving is more acceptable than warning drivers with auditory and visual alerts while driving.     

Towards an understanding of the behavioral intention to use 3G mobile value-added services

As profit margins gradually decline, and market competition becomes increasingly intensive, 3G telecom operators must provide various mobile value-added services, as well as traditional voice services, to attract new subscribers and retain old ones. However, for many 3G mobile value-added services, whether ARPU (average revenue per user) can be effectively enhanced depends on the consumer behavioral intentions. Therefore, this study uses the Technology Acceptance Model as the foundation and incorporate personal innovativeness and perceived cost to further understand consumer’s behavioral intention to use 3G mobile value-added services. The following conclusions can be reached from the research findings: (1) consumer usage rate of current 3G value-added services remains low; (2) increased personal innovativeness will directly enhance the perceived ease of use of 3G mobile value-added services; (3) the perceived usefulness is enhanced when consumers perceive higher ease of use of value-added services; (4) perceived usefulness has the strongest effect on consumer attitude, followed by perceived ease of use and perceived cost, and (5) the most important factor in increasing consumer’s behavioral intention to use 3G mobile value-added services is attitude, followed by perceived ease of use, perceived cost and perceived usefulness. Results of this study provide a valuable reference for service providers to develop mobile value-added services.     

Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model

This study examined age differences in perceptions of online communities held by people who were not yet participating in these relatively new social spaces. Using the Technology Acceptance Model (TAM), we investigated the factors that affect future intention to participate in online communities. Our results supported the proposition that perceived usefulness positively affects behavioral intention, yet it was determined that perceived ease of use was not a significant predictor of perceived usefulness. The study also discovered negative relationships between age and Internet self-efficacy and the perceived quality of online community websites. However, the moderating role of age was not found. The findings suggest that the relationships among perceived ease of use, perceived usefulness, and intention to participate in online communities do not change with age. Theoretical and practical implications and limitations were discussed.     

University Instructors' Acceptance of Electronic Courseware: An Application of the Technology Acceptance Model

This study examines the factors that influence instructors' adoption and use of an Internet-based course management system and tests the applicability of the Technology Acceptance Model (TAM), introduced by Davis (1986) , in the context of e-learning practices in higher education. Using data from an online survey of a university's instructors ( N = 191), a path analysis revealed that perceived ease of use of the system had a significant impact on perceived usefulness as the TAM suggested. In addition, a direct effect of perceived usefulness on behavioral intention to use and an indirect effect of the variable on actual system use, both of which were proposed in the TAM, were also found. Further, motivation to use the system played a significant role in affecting perceived ease of use, perceived usefulness, evaluation of functions, current system use, and behavioral intention to keep using the system. This study suggests that integration of the TAM and the uses and gratification approach can be fruitful for future research on the diffusion of Internet-based technological systems.     

An empirical analysis of the determinants of 3G adoption in China

The main aim of this study is to examine the factors that affect Chinese consumers’ intention to adopt 3G. This study has extended the Technology Acceptance Model (TAM) by incorporating the determinants of perceived usefulness, cost, trust, and demographic profiles of Chinese consumers. Data is collected from Chinese consumers via self-administered questionnaire. Structural equation modeling was applied to examine the research model proposed. Our result showed that social influence, service quality and perceived ease of use have a direct and significant relationship with perceived usefulness of 3G, and this in turn affects the consumers’ decision to adopt 3G. Contrary to existing TAM research, perceived ease of use was not found to have a direct and significant influence with Chinese consumers’ intention to adopt 3G. Our study also revealed that those with higher educational level are more likely to adopt 3G. Based on the findings, this research is able to propose several practical recommendations to 3G providers in China, such as enhancing the variety of services provided through collaborations with mobile software and content developers. Furthermore, 3G providers can focus on promoting 3G through services such as “Friends and Family” packages as Chinese consumers’ 3G adoption decisions is influenced by their social network. In terms of theoretical contributions, this study has answered many calls from past researchers to investigate the determinants of perceived usefulness. This research was also conducted in China, which is one of the largest telecommunication markets in the world.     

Factors driving the adoption of m-learning: An empirical study

Even if m-learning is spreading rapidly in many regions of the world, research addressing the driving factors of m-learning adoption is in short supply. Built on the Technology Acceptance Model, this paper proposes a hypothesized model of m-learning adoption. Employing structural equation modeling technology, the model was assessed based on the data collected from 230 participants using a survey questionnaire. Results indicate that perceived near-term/long-term usefulness and personal innovativeness have significant influence on m-learning adoption intention, while perceived long-term usefulness significantly affects the perceived near-term usefulness. Personal innovativeness is a predictor of both the perceived ease of use and perceived long-term usefulness as well. Of all variables, the perceived long-term usefulness contributes to the most influential predictor of m-learning adoption. The model accounts for approximately 60.8% of the variance of behavioural intention. The results indicted that offing high-quality contents complying with students’ future targets is key to the success of m-learning in China. Both theoretical and practical implications are discussed.     

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.     

Can we have fun @ work? The role of intrinsic motivation for utilitarian systems

Since the introduction of the Motivational Technology Acceptance Model in 1992, many researchers have considered both extrinsic and intrinsic motivation as antecedents of intent to use and actual use of a system. However, it has been a long-standing and largely unchallenged assumption that intrinsic motivation (i.e., fun or enjoyment) is a more dominant predictor of hedonic (fun) application use and that extrinsic motivation (i.e., usefulness) is a more dominant predictor of utilitarian (practical) application use. In this article, we probe whether system type serves as a boundary condition (i.e., moderator) for understanding an individual’s interaction with information technology. Specifically, we examine whether perceived enjoyment’s influence on perceived ease of use, perceived usefulness, intention, and use varies with system type. On the basis of a meta-analytic structural equation modeling analysis of 185 studies between 1992 and February 2011, our findings suggest intrinsic motivation is equally relevant for predicting intentions toward using and actual use of both hedonic and utilitarian systems. Therefore, our meta-analytic results call into question the rigidity of the assumption that system type is a ‘boundary condition’ for understanding individuals’ interaction with information technology. The implications of these results for research and practice are discussed.     

Factors affecting reposting behaviour using a mobile phone-based user-generated-content online community application among Chinese young adults

Mobile phone-based user-generated-content (UGC) online community applications have gained increasing popularity among young generations. However, factors that may affect usage behaviour regarding the applications are not fully investigated. In this study, we employed the Technology Acceptance Model as the basis to explore factors that are able to predict user reposting behaviour with the applications. University students (N?=?322) completed a self-reported questionnaire for measuring the studied constructs after they experienced a high-fidelity prototype of a mobile UGC online community application. Results from path analysis demonstrated that perceived usefulness and attitude towards usage were significant determinants of user reposting intention, with 23% of its variance explained. Perceived usefulness, perceived ease of use and information credibility directly predicted attitude towards usage and accounted for 45% of its variance. Perceived ease of use exerted influence on both perceived usefulness and information credibility. The findings can enhance our understanding of factors that contribute to user reposting behaviour and provide insight into design and implementation strategies to increase the likelihood of user intention to repost information using mobile UGC online community applications.     

An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach

This study examined the influence of perceived enjoyment on pre-service teachers’ intention to use technology, in addition to re-appraising the role of attitude toward use in the Technology Acceptance Model (TAM; Davis, Bagozzi, &; Warshaw, 1989). One hundred and fifty-three participants in Singapore completed a survey questionnaire measuring their responses to five constructs from a research model that was developed specifically for the study. Structural Equation Modeling (SEM) showed that perceived enjoyment was a significant predictor of perceived usefulness, perceived ease of use, and intention to use technology. The findings of this study support the view of Davis et al. (1989) from over 30 years ago that attitude toward use contributes only modestly to the TAM.     

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.