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.     

Exploring pre-service teachers' use of technology: The technology acceptance model and expectancy–value theory

Understanding how prepared teachers are to use technology to enhance their teaching can assist researchers to support them better, yet the theoretical basis for understanding teachers' self-beliefs is in need of stronger empirical support. The first objective of this study was to replicate and extend prior research that empirically tested portions of the technology acceptance model (TAM) amongst pre-service teachers. The second objective was to empirically test an alternative set of antecedents of behavioural intentions to use technology based on the expectancy–value theory (EVT). Four theoretical models were tested using structural equation modelling with a sample of pre-service teachers (N = 249). Results provide support for the TAM and the extended TAM models, however, no support was found for the combined EVT and TAM models. We discuss the implications to promote teacher integration of technology in the classroom by creating facilitating conditions.     

Uses and gratifications and acceptance of Web-based information services: An integrated model

This study combines the technology acceptance model (TAM) and uses and gratifications theory (U&G) to create an integrated model that predicts usage and satisfaction with Web-based information services (WIS). Two pilot studies and three laboratory experiments were conducted to test and develop the concepts, measurements, and the integrated model. The results support the proposed integrated model. Behavioral intention and entertainment motive collectively predicted behavioral usage. Satisfaction was positively associated with the level of usage. The good structure fit with the merge model and data showed that the model explained more than 30% variance of behavioral usage. Although both theories are solid acceptance theories, U&G provides specific information and a more complete understanding of usage, whereas TAM constructs are easily used with Web-based applications. This study gives researchers and practitioners an interdisciplinary perspective for investigating the phenomenon of technology acceptance. In addition, it merges the strengths from the fields of information systems and communications.     

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.     

Exploring the relationship between technology acceptance model and usability test

In the past, most studies used the technology acceptance model (TAM) to survey the subjective perception of users in using information technology. The usability test was also used to assess the ease of use of user interfaces. This study introduces a conceptual framework to explore the relationship between user’s beliefs of TAM and usability testing attributes. Usability testing was conducted on an eCampus learning system with a mobile device. TAM data was collected from the participants for analyzing a possible relationship. The findings of this study reveal that TAM results contradict the usability test results in certain areas. The focus of our proposed research model is supported from the causality between perceived ease of use and usability; however, the correlation between perceived usefulness and usability remains unclear.     

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.     

An empirical examination of application frameworks success based on technology acceptance model

Framework-based development is currently regarded as one of the most promising software development approaches when it comes to improvements in lead time, productivity and quality. However, many frameworks and projects based on frameworks still report failures, which indicate that there are problems related to both frameworks technology and frameworks usage. The objective of our research was to examine the major drivers that have an impact on a framework’s acceptance and a framework’s success. We used the technology acceptance model (TAM) and Seddon’s information systems success model as our underlying theory. Data collected from an online survey of 389 active framework users was used to test hypothesized models. Data analysis was performed via structural equation modeling. Our findings support the post-adoption version of TAM and the relationship between continuous use and the successful use of systems, where more use also means more net benefits. We found that the successful use of frameworks is mainly dependent on two factors: continuous framework usage intention and the perceived usefulness of the framework. Several practical and theoretical implications can be foreseen including advances in framework development guidelines and insight into the relationship between the acceptance and success of frameworks.     

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.     

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.     

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.     

A theoretical acceptance model for computer-based communication media: Nine field studies

This research study develops and tests a theoretical acceptance model to explain users’ acceptance of computer-based communication media. The model, which is referred to as TAM_CCM, originated from the Technology Acceptance Model (TAM) and conforms to the context of Computer-based Communication Media (CCM). It explains perceived usefulness and actual system use in terms of system characteristics (information process support and facilitating conditions), social influence (subjective norm and rules on media use), and user characteristics (experience and computer self efficacy). The model was tested using empirical data collected at nine organizations (N = 425), of which four had media rules and five had no similar rules. The TAM_CCM model was strongly supported accounting for 74% of the variance in usefulness perceptions and up to 74% of the variance in behavior intention to use. System characteristics (information process support), social influence (subjective norm and rules on media use), and user experience significantly influenced user acceptance of computer-based communication media. These advanced theory findings on computer-based communication media adoption and the research approach contribute to future research aimed at incorporating the TAM into specific contexts.     

An extension of the technology acceptance model in an ERP implementation environment

This paper presents an extension to the technology acceptance model (TAM) and empirically examines it in an enterprise resource planning (ERP) implementation environment. The study evaluated the impact of one belief construct (shared beliefs in the benefits of a technology) and two widely recognized technology implementation success factors (training and communication) on the perceived usefulness and perceived ease of use during technology implementation. Shared beliefs refer to the beliefs that organizational participants share with their peers and superiors on the benefits of the ERP system.Using data gathered from the implementation of an ERP system, we showed that both training and project communication influence the shared beliefs that users form about the benefits of the technology and that the shared beliefs influence the perceived usefulness and ease of use of the technology. Thus, we provided empirical and theoretical support for the use of managerial interventions, such as training and communication, to influence the acceptance of technology, since perceived usefulness and ease of use contribute to behavioral intention to use the technology.     

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.     

A multi-group analysis of structural invariance: an illustration using the technology acceptance model

Selecting the appropriate mix of functional and/or interface characteristics to achieve user acceptance has proven to be a more challenging and difficult decision than expected. While numerous studies have shown that the technology acceptance model (TAM) is useful for predicting acceptance, estimates of its structural weights are not consistent across studies. Using initial exposure data from 742 users of office suite applications (i.e., spreadsheet, database, word processing, and graphics), our research illustrated the use of multi-group analysis of structural invariance (MASI) to test differences in structural weights across population subgroups for latent variables in TAM. We argue that, for large sample studies containing latent variables, MASI may be a more appropriate test of differences for structural weights/regression coefficients than analysis of covariance. The managerial implications of the results in setting functionality and interface goals and allocating resources to continued development efforts are discussed.     

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.     

Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior,the technology acceptance model,and the flow theory

Instant messaging (IM) is a popular Internet application around the world. In China, the competition in the IM market is very intense and there are over 10 IM products available. We examine the intrinsic and extrinsic motivations that affect Chinese users’ acceptance of IM based on the theory of planned behavior (TPB), the technology acceptance model (TAM), and the flow theory. Results demonstrate that users’ perceived usefulness and perceived enjoyment significantly influence their attitude towards using IM, which in turn impacts their behavioral intention. Furthermore, perceived usefulness, users’ concentration, and two components of the theory of planned behavior (TPB): subjective norm and perceived behavioral control, also have significant impact on the behavioral intention. Users’ intention determines their actual usage behavior.     

A review on objective measurement of usage in technology acceptance studies

This paper reviews objective measurement of usage in user acceptance studies using the technology acceptance model (TAM). The use of objective measurement is quite uncommon in TAM. In addition to its low frequency, another striking phenomenon is the way objective measurement is used. Namely, only a minor potential of the information available is typically used, and, for example, the temporal aspect (changes in time) is almost always neglected. The paper describes the TAM studies where objective measurement of usage has been utilized and ponders the way objective measurements are taken. The ultimate goal of the paper is to improve objective measures used in TAM studies. To this end, several suggestions are given.     

On the perceptions and acceptance of artificially intelligent robotics and the psychology of the future elderly

ABSTRACT

The demographic shift marks the beginning of a social transformation with far reaching implications, and differences in aging processes across individuals render one-size fits-all policies ineffective. An area of increasing importance is assistive technology, including physical and Social Assistance Robots (SARs) for elderly support. In order to increase the effectiveness of such technologies, their design, functionality, and acceptance by target users must be evaluated. This paper presents a study that examines SAR technology acceptance among the future elderly (aged 20–60) in a German-speaking population (N=188). In doing this, we investigated the relationships between personality, resilience, technology experience, expectations for technology, fulfilment of expectations for technology, and technology acceptance. The study found significant correlations between age, gender, education, personality, resilience, experience, expectations, and technology acceptance and its subdimensions. Of the personality dimensions, agreeableness and neuroticism were found most relevant. Small effects were found between resilience and acceptance, and highly significant ones between technology acceptance, technology experience, expectations for SARs, and fulfilment of expectations for SARs. In keeping with previous research, the findings suggest that personality plays a significant role in the acceptance of SAR technologies. This study may be one of the first that considers and evaluates resilience as a factor in technology acceptance.     

Consumer behavior in online game communities: A motivational factor perspective

The concept of online communities has been used to improve customers’ loyalty in recent years. While studies on transaction community such as online auction have received more attention in the literature, entertainment community such as online game has seldom been addressed. This study applies the theory of reasoned action (TRA) and modifies the technology acceptance model (TAM) to propose a research model. An empirical study involving 356 subjects was conducted to test this model. The results indicate that customer loyalty is influenced by perceived enjoyment, social norms and preference. Perceived cohesion has an indirect impact on loyalty. In addition, the finding’s practical implication suggests that community managers must overcome the problems users encounter, including suffering from an unstable system, malicious players and grief players.     

Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education

Learners need to have good reasons to engage and accept e-learning. They need to understand that unless they do, the outcomes will be less favourable. The technology acceptance model (TAM) is the most widely recognized model addressing why users accept or reject technology. This study describes the development and evaluation of a virtual environment, the online 3D world Second Life (SL), for learning rapid sequence intubation (RSI). RSI is an increasingly frequently used method of acute airway management in healthcare settings. The intention of learners to use the system was explored based on the TAM, with the computer self-efficacy construct as an external variable. Two hundred and six nursing students participated in this study. The findings suggest that the system was perceived as useful, and that the students felt confident working with computers and intended to review RSI in SL as often as needed. However, they remained neutral regarding the ease of use of the system. Strategies were suggested for boosting the students’ self-confidence in using the system. Overall use of the TAM in this context was successful, indicating the robustness of the model. The limitations of the study were discussed and further areas of research on the TAM were proposed.