User acceptance of wireless technology in organizations: A comparison of alternative models

This paper compared two versions of technology acceptance model (TAM) in understanding the determinants of user intention to use wireless technology in the workplace. The first model is derived from original TAM that includes perceived usefulness, perceived ease of use, attitude and behavioral intention, while the alternative model is a parsimonious version in which the attitude was taken out. The results indicated that TAM, either original or parsimonious, is successful in explaining user intention to use wireless technology in organizations. In addition, the parsimonious model showed a better model fit than that of the original model.     

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.     

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.     

Extended technology acceptance model of Internet utilization behavior

Based on the belief–attitude–performance chain, this study combines Davis’s technology acceptance model (TAM) and the information behavior model to develop an extended TAM for Internet use. The theoretical model was tested via a questionnaire survey of 203 Taiwanese office workers. The empirical results not only confirmed TAM, but also showed that the relevance of information needs strongly determines perceived usefulness, perceived ease of use, and user attitudes toward Internet use for information seeking, as well as strongly influencing individual performance during the information use stage. More importantly, relevance has greater positive effect on perceived performance and perceived usefulness for enterprise Intranet users than for simple/interactive Intraweb users. Enterprise Intranet users have more positive attitudes toward the Internet and more positive perceptions of system effectiveness for supporting office tasks than simple/interactive Intraweb users. Furthermore, perceived ease of use is the strongest determinant of user attitude toward Internet use in both enterprise Intranet and simple/interactive Intraweb applications. Overall, the extended TAM explains the behavior of enterprise Intranet users better than that of simple/interactive Intraweb users. Limitations of this study are discussed.     

What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model

This study presents an extended technology acceptance model (TAM) that integrates innovation diffusion theory, perceived risk and cost into the TAM to investigate what determines user mobile commerce (MC) acceptance. The proposed model was empirically tested using data collected from a survey of MC consumers. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. Our findings indicated that all variables except perceived ease of use significantly affected users’ behavioral intent. Among them, the compatibility had the most significant influence. Furthermore, a striking, and somewhat puzzling finding was the positive influence of perceived risk on behavioral intention to use. The implication of this work to both researchers and practitioners is discussed.     

Understanding the factors affecting online elderly user’s participation in video UCC services

Video user-created content (video UCC) is currently being spotlighted by business practitioners and researchers. However, little consideration is being made on elderly people’s adoption of this innovative service. This paper highlights this issue of elderly online users and discovers the factors affecting their participation decisions in video UCC services. This study introduces elderly-specific constructs such as perceived physical condition (physical age), life course events (psycho-social age), perceived user resources, prior similar experience, and computer anxiety, each reflecting the complex aging process. Then, the relationship between these constructs and the conventional constructs from the technology acceptance model (TAM) (perceived ease of use, perceived usefulness, perceived enjoyment, and compatibility) is hypothesized and tested. Data was collected from 290 online users older than 50 years of age. The results show that elderly people are not highly resistant to change and will adopt video UCC if some conditions are satisfied. In addition, elderly-specific variables could be good antecedents for conventional TAM constructs, while having direct effects on the intention construct for some cases (perceived physical condition, life course events, and perceived user resources). We believe the implications of this study are important for both researchers and practitioners.     

Understanding driver adoption of car navigation systems using the extended technology acceptance model

This study proposes an integrated research model for investigating driver adoption of car navigation systems. We consider the potential causal connections between core cognitive and psychological factors and driver intention to use these systems. We extracted possible factors that may significantly affect the perceived usability of car navigation systems from in-depth interviews with two groups of individuals: an expert group and a driver group. Data collected from N?=?1045 drivers via an online survey were analysed by structural equation modelling. The results showed that the service & display quality components of the systems were the most significant determinants of driver attitude and intention to use car navigation systems. Two other factors, namely attitude and perceived usefulness, also had impacts on driver intention. Moreover, both satisfaction and service & display quality were affected by perceived system reliability, while usefulness was affected by both perceived locational accuracy and satisfaction. Satisfaction also significantly affected perceived ease of use. In addition, we introduced new external variables to the technology acceptance model (TAM) and validated the causal connections proposed by the original TAM. The present study provides valuable insights into the core factors that significantly affect driver perspectives of and intention to use car navigation systems.     

Predicting user satisfaction,strain and system usage of employee self-services

In this study, we explore attitudinal and behavioural patterns when using employee self-service (ESS) systems by using an expanded technology acceptance model (TAM). We examine the relationship between organizational support and information policy on the one hand and ease of use and usefulness on the other, and then the relationship between ease of use and usefulness with satisfaction, strain and system usage. To explore question order effects, user satisfaction was assessed prior to or after survey items. Data was collected from 517 employees using an ESS system. Results from partial least squares structural equation modelling suggests that (a) organizational support and information policy were positively related to ease of use, (b) usefulness was positively related to satisfaction and system usage, (c) ease of use and usefulness were negatively related to user strain and (d) ease of use fully mediates the relation between organizational support and strain as well as between information policy and strain. Evidence for a question order effect was found with increased satisfaction judgements, when satisfaction was assessed after the survey items. Results are discussed in terms of the theoretical and methodological aspects of the TAM and their implications for ESS system implementation.     

Predicting user response to sponsored advertising on social media via the technology acceptance model

Sponsored advertising has generated strong advertising revenues for Facebook in recent years. As sponsored ads are built on an interactive platform that could be seen as invasive to user privacy, the growth of this advertising platform has important implications for consumers, and advertisers alike. As little research is available on consumer response to sponsored advertising as an interactive technology innovation, the current study assesses the effects of user perceptions of privacy risk, intrusiveness concerns and utilities of sponsored advertising on consumer attitudes and purchase intent. Testing a model derived form the technology acceptance model (TAM), the study found that privacy and intrusiveness concerns are both valid antecedent variables to perceived usefulness but not perceived ease of use of sponsored advertising. While both antecedent variables also influence consumer attitudes toward sponsored advertising, only privacy concerns have an impact product purchase intentions. The hypothesized relations between perceived usefulness, ease of use, attitudes and purchase intentions were also validated.     

Effects of interface style on user perceptions and behavioral intention to use computer systems

This study examines the influence of two interface styles (menu- and command-based) on the perceived ease of use, perceived usefulness, and behavioral intention of the user to use the system. We have treated the system interface style as an external factor in the technology acceptance model (TAM) to examine its direct and indirect effects on behavioral intention to accept and use a system. The results showed that the interface style had direct effects on perceived ease of use and perceived usefulness which, in turn, demonstrated significant effects on behavioral intention to use the system. Further, the results showed that perceptions of the menu-based interface were more favorable than perceptions of the command-based interface. These results provide several theoretical and practical implications for designing an effective system.     

Effects of individuals' locus of control and computer self-efficacy on their e-learning acceptance in high-tech companies

High-tech companies encounter intense competition in today's global economy. With rapid changes in working environments, high-tech employees must learn quickly and effectively to solve difficult problems and increase their productivity. Many large high-tech companies have recently implemented electronic learning (e-learning) for employee training. However, e-learning systems are expensive and often underutilised. Therefore, understanding the factors associated with acceptance to e-learning are of priority concern. By integrating locus of control, computer self-efficacy and technology acceptance model (TAM) into one model, this study examines the feasibility of the extended TAM to explain employee acceptance of e-learning systems. Data were collected from 223 employees at five high-tech companies located in the Hsinchu Science Park, Taiwan. Analytical results indicate that locus of control had significant direct effects on perceived usefulness and perceived ease of use. Computer self-efficacy had significant direct effects on perceived ease of use and behavioural intention to use. Overall, analytical results provide strong support for using the extended TAM to explain user acceptance of e-learning systems. The research and practical implications of findings are discussed.     

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.     

Understanding age differences in PDA acceptance and performance

The present study addresses two basic determinants of technology utilization: the attitude towards a certain technology and the performance when using it. According to the technology acceptance model (TAM), perceived ease of use and usefulness are assumed to be strong determinants of the actual and successful utilization of technology. However, the relationship between the acceptance of technical devices and their successful utilization (i.e. performance) is not completely understood. In this study, users’ attitudes towards technology and their performance when interacting with a computer simulated PDA device were examined. Moreover, the moderating role of individual variables like age, gender, subjective technical confidence, and computer expertise in the relationship between technical performance and acceptance was analyzed. The results showed significant associations between performance and TAM factors. However, this interrelation was much stronger for the older group, especially between performance and the ease of use. The factors computer expertise and technical self-confidence played a minor role. Gender effects on technical self-confidence and TAM factors were identified, although they did not affect performance. Future research should focus on training formats for the older age group, which facilitate a successful interaction with technical devices.     

A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types

Existing literature in the field of e-learning technology acceptance reflects a significant number of independent studies that primarily investigate the causal relationships proposed by technology acceptance theory, such as the technology acceptance model (TAM). To synthesize the existing knowledge in the field of e-learning technology acceptance, we have conducted a systematic literature review of 42 independent papers, mostly published in major journals. Furthermore, in order to view the research context by combining and analyzing the quantitative results of the reviewed research studies, a meta-analysis of the causal effect sizes between common TAM-related relationships was conducted. The main findings of this study, which is the first of its kind, are: (1) TAM is the most-used acceptance theory in e-learning acceptance research, and (2) the size of the causal effects between individual TAM-related factors depends on the type of user and the type of e-learning technology. The results of the meta-analysis demonstrated a moderating effect for user-related factors and technology-related factors for several evaluated causal paths. We have gathered proof that the perceived ease of use and the perceived usefulness tend to be the factors that can influence the attitudes of users toward using an e-learning technology in equal measure for different user types and types of e-learning technology settings.     

A Model of Green Acceptance and Intentions to Use Bike-Sharing: YouBike Users in Taiwan

With the emphasis on sustainability in transportation, bike-sharing systems are gaining popularity. This paper investigates the attitudes of users of a bike-sharing system with the aim of identifying their priorities, thus allowing local governments to focus their efforts most effectively on enhancing users’ intentions to use such systems. The relationships among green perceived usefulness (the extent to which individuals believe that a bike-sharing system will improve the environmental performance of some part of their life within a specific context), user attitude and perceived ease of use with green intentions, and the mediation effect of user attitude towards bike-sharing are explored. The focus of the study is on how to enhance green intentions via perceived usefulness, perceived ease of use and user attitude of the green technology acceptance model (green TAM) (Davis 1989). The two-step approach of structural equation modeling was applied to analyze the empirical results, which indicated that green perceived usefulness and user attitude have positive influences on the green intentions of 262 users and 262 non-users from ten sampled bike-sharing sites around the central administrative districts of Taipei. However, user attitude has the highest mediation effect on green intentions, and perceived ease of use does not have a significant effect on intentions for either users or non-users. Therefore, governmental institutions can strive to improve the attitudes of bike-sharing users and non-users, their green perceived usefulness, and perceived ease of use to strengthen their intentions to use this mode of sustainable transportation.     

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.     

Job performance through mobile enterprise systems: The role of organizational agility,location independence,and task characteristics

This study examines how organizational workers improve their perceived job performance through the use of Mobile Enterprise Systems (MES), while also investigating the impact of perceived organizational agility and location independence on technology acceptance of MES. This study also tests the moderating role of task characteristics (task significance and feedback) on the relationship between MES usage and perceived job performance. Based on the extant technology acceptance model (TAM), we proposed an extended TAM and conducted a large-scale survey among organizational workers who use MES in their workplace across industries. Our findings suggest that both positive attitude toward MES and a high level of habitual MES usage are positively associated with perceived job performance, and that task characteristics positively moderate the relationship between habitual usage (attitude toward MES) and perceived job performance. More importantly, we also found that organizational agility is positively associated with both perceived ease of use and perceived usefulness, while location independence is positively associated with perceived ease of use. The present findings provide us with a deeper understanding of how organizational workers utilize MES and how they improve their perceived job performance through the use of MES. Based on these findings, we discuss further implications and limitations.     

Extending the technology acceptance model with task–technology fit constructs

During the past decade, two significant models of information technology (IT) utilization behavior have emerged in the MIS literature. These two models, the technology acceptance model (TAM) and the task–technology fit model (TTF), provide a much needed theoretical basis for exploring the factors that explain software utilization and its link with user performance. These models offer different, though overlapping perspectives on utilization behavior. TAM focuses on attitudes toward using a particular IT which users develop based on perceived usefulness and ease of use of the IT. TTF focuses on the match between user task needs and the available functionality of the IT. While each of these models offers significant explanatory power, a model that integrates constructs from both may offer a significant improvement over either model alone. We discuss the theoretical foundation of both these models and present a theoretical rationale for an integrated model. The result is an extension of TAM to include TTF constructs. We test our integrated IT utilization model using path analysis. Our integrated model provides more explanatory power than either model alone. Research using the integrated model should lead to a better understanding of choices about using IT.     

Understanding User Experience with Computer-Based Applications with Different Use Purposes

The concept of user experience emphasizes the importance of understanding users for applications that have various contextual features. To address this issue, this study examines the changes in the relationships among user satisfaction and users' perceptions of usability and aesthetics according to use situations. For data, an experiment was conducted using 15 existing websites with similar levels of usability and aesthetics. Forty-five engineering students participated in the experiment. The results indicated that the relationships among perceived usability, perceived aesthetics, and user satisfaction could be dependent on how users perceived the use purposes and interaction types of the websites. Specifically, the relationship between perceived usability and user satisfaction was stronger for websites requiring users' goal-directed activities, whereas the relationship between perceived aesthetics and user satisfaction was stronger for the websites mainly providing useful information, regardless of the existence of a specific use goal. Also, the strong relationship between perceived usability and perceived aesthetics was more obvious for websites where users mainly wanted to obtain information than for those where users primarily wanted to use the leisure and relaxation content. The findings can be utilized in the design of websites with different contextual features, especially related to use purposes and interaction types.     

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.