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.     

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.     

An empirical investigation of a modified technology acceptance model of IPTV

This study explores the factors influencing the adoption of IPTV, and tests the applicability of the technology acceptance model (TAM) in a new convergent technology. The behavioural constructs from TAM were tested for predicting user acceptance of IPTV. Structural equation modelling was used to analyse data and to design a theoretical model predicting the individual's intention to adopt IPTV. A modified TAM for IPTV proposes that new constructs determine user-perceived usefulness and enjoyment of using IPTV. Although this study confirms the impact of information quality and system quality on consumers' technology experience, it specifically shows that the perceived quality of content and system were found to have a significant effect on users' perceived usefulness and perceived enjoyment. In addition, social influences had a positive effect on the intention to use IPTV. These findings suggest an extension of the TAM model for convergence technologies. This research advances theory and contributes to the foundation for future research aimed at improving the understanding of users' adoption behaviour of convergence technologies. Implications of these findings for practice and research are examined.     

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.     

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.     

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.     

A technological acceptance of e-learning tools used in practical and laboratory teaching,according to the European higher education area 1

The application of scientific tools to analyse the use of Internet-based e-learning tools in academic settings is in general an ignored area. E-learning tools are actually an emergent topic as a result of the new ideas introduced by the European Higher Education Area. Lifelong learning, or the promotion of student initiative, is the new paradigm of a learner-centred education. In this context, e-learning tools can represent an effective way of supporting this new trend in education. Assuming the premise that successful use of these web-based tools depends primarily on a user's behaviour, the objective of this research is to examine the technology acceptance model (TAM) of web-based e-learning tools used in practical and laboratory teaching. The research hypotheses derived from this model have empirically been validated using the responses to a survey on e-learning usage among 220 users. These responses have been examined through partial least square. The obtained results strongly support the extended TAM in predicting a student's intention to use e-learning and define a set of external variables with a significant influence in the original TAM variables. Surprisingly, perceived ease of use did not posit a significant impact on student attitude or intention towards e-learning tool usage. Therefore, early evaluation of e-learning material is considered essential to providing a framework for further improvements of the tool.     

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.     

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.     

Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model

Derived from the theory of reasoned action, the technology acceptance model (TAM) focuses on two specific salient beliefs—ease of use and usefulness. It has been applied in the study of user adoption of different technologies, and has emerged as a reliable and robust model. However, this has not discouraged researchers from incorporating additional constructs to the original model in their quest for increased predictive power. Here, an attempt is made in the context of explaining consumer intention to use on-line shopping. Besides ease of use and usefulness, compatibility, privacy, security, normative beliefs, and self- efficacy are included in an augmented TAM. A test of this model, with data collected from 281 consumers, show support for seven of nine research hypotheses. Specifically, compatibility, usefulness, ease of use, and security were found to be significant predictors of attitude towards on-line shopping, but privacy was not. Further, intention to use on-line shopping was strongly influenced by attitude toward on-line shopping, normative beliefs, and self-efficacy.     

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.     

An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM

To understand the first purchase mechanism in online shopping, this study established an integrated model of initial trust and TAM. According to the analysis results, initial trust beliefs were significantly influenced by initial trust bases such as company reputation, structural assurance, and trusting stance, and initial trust beliefs indirectly influenced the first purchase intention through consumer attitude. In TAM constructs, only perceived usefulness directly influenced the usage attitude of online shopping systems, then indirectly influenced the first purchase intention. These results imply that online consumers consider perceived ease of use as a basic requirement for system design. It was also found that there is a time cushion between the time of first purchase and the time of belief formation. On the whole, these results reinforced the theory that a relationship between belief (trust and perceived usefulness) and intention was better explained when it was mediated by attitude.     

Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors

This paper explains physicians’ acceptance, in terms of usage intentions, of a central component of health information technology: electronic health care records (EHCR systems). For this purpose, the original version of the Technology Acceptance Model (TAM), which included perceived usefulness, perceived ease of use, attitude towards usage, and usage intentions, is extended with trust and risk-related factors such as physicians’ perceptions of institutional trust, perceived risk, and information integrity. The results stress the special importance of attitudinal factors (attitude towards usage and perceived institutional trust) and cognitive instrumental processes (mainly, usefulness perceptions) in determining physicians’ intention to use EHCR systems. Perceptions of institutional trust exerted strong direct effects on physicians’ perceived usefulness, perceived ease of use, and attitude towards the use of EHCR systems. In addition, trust fully mediated the influences of perceived risk and information integrity perceptions on physicians’ acceptance of EHCR systems.     

The impact of the online and offline features on the user acceptance of Internet shopping malls

Internet shopping mall has the dual nature of Web-based application system and traditional shopping mall. This paper explores online and offline features of Internet shopping malls and their relationships with the acceptance behaviors of customers. The results from a Web survey of 932 users show that the technology acceptance model (TAM) is valid in predicting the acceptance of the Internet shopping malls and that online and offline features have positive effects on the user acceptance. Both online and offline features have greater effects on the usefulness, attitude, and intention to use than either online or offline features separately. This study provides a domain-specific, integrative approach in evaluating the quality and antecedents of user acceptance for Internet shopping malls.     

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.     

The role of perceived resources in online learning adoption

This study examines perceptions of adequate resources that can facilitate or inhibit students’ adoption of an online learning system, through an extension of the technology acceptance model (TAM) to include the perspectives of intra- and extra-organizational resources. The novel contribution of this study is the inclusion of internal and external-organizational factors in the aspect of perceived resources. The results of the study confirm the original TAM findings that perceived usefulness and perceived ease of use are positively associated with behavioral intention. In addition, the results also partially support that perceived resources have impacts on online learning adoption: Perceived ease of use, internal computing support, internal computing training, and external computing support have positive effects on perceived usefulness. Furthermore, internal computing support, internal computing training, external computing support, external computing training, and external equipment accessibility have positive effects on perceived ease of use. Recommendations for promoting adoption of the online learning system are subsequently discussed, along with suggestions for improving overall system design.     

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.     

Assessing the effects of consumer involvement and service quality in a self‐service setting

The aim of this study is to assess how consumer involvement and service quality within the Technology Acceptance Model (TAM) influence consumers' adoption of self‐service technologies (SSTs). A model is proposed to test the antecedent factors of SSTs in a retail environment. A total of 441 valid questionnaires were received, and the data were examined by using structural equation modeling (SEM). The findings show that consumer involvement has a significant positive effect on attitude toward SSTs. In addition, service quality plays an important role by significantly moderating the influence of intention to use SSTs on consumer behavior. The key objective of this study is to analyze the role that consumer involvement and service quality play in influencing the adoption of SSTs. Future research could classify the different levels of involvement and types of SSTs to confirm and extend our framework. Despite the increasing popularity of SSTs, few studies have to date examined the topic of technology acceptance in combination with user involvement. This study extends the original TAM and explains the conditions required for successful user involvement and service quality in consumers' adoption of SSTs. This study makes an original contribution by proposing a strategic model for a successful implementation of SSTs. © 2011 Wiley Periodicals, Inc.     

Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit

Online banking (Internet banking) has emerged as one of the most profitable e-commerce applications over the last decade. Although several prior research projects have focused on the factors that impact on the adoption of information technology or Internet, there is limited empirical work which simultaneously captures the success factors (positive factors) and resistance factors (negative factors) that help customers to adopt online banking. This paper explores and integrates the various advantages of online banking to form a positive factor named perceived benefit. In addition, drawing from perceived risk theory, five specific risk facets – financial, security/privacy, performance, social and time risk – are synthesized with perceived benefit as well as integrated with the technology acceptance model (TAM) and theory of planned behavior (TPB) model to propose a theoretical model to explain customers’ intention to use online banking. The results indicated that the intention to use online banking is adversely affected mainly by the security/privacy risk, as well as financial risk and is positively affected mainly by perceived benefit, attitude and perceived usefulness. The implications of integrating perceived benefit and perceived risk into the proposed online banking adoption model are discussed.     

A hybrid technology acceptance approach for exploring e-CRM adoption in organizations

Customer relationship management (CRM) is replacing the traditional ‘four Ps’ of marketing?–?product, price, place and promotion. Forging long-term relationships with customers is the key to stability in an increasingly dynamic market. Despite the steady growth in the number of worldwide installations, industry studies indicate that approximately 60% of web-based CRM software (e-CRM) installations are failures. System use is recognized as one of the important indicators for successful implementation of information systems (IS) and is often correlated with other constructs, such as user attitude and behavioral intention, in the literature. The technology acceptance model (TAM) is particularly useful for explaining and analyzing IS-usage behavior and subsequently, the behavior is influenced by attitude and behavioral intention. However, TAM is incomplete for either considering only part of the attributes of the innovation factor or only part of the factors affecting IS innovation process. Therefore, this study integrates TAM with an extension of innovation diffusion theory (IDT), IS innovation model, in a complimentary manner and, furthermore, empirically concludes some guidelines for practitioners to effectively assist in the diffusion of e-CRM in organizations.