Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM)

This study assesses the pre-service teachers’ self-reported future intentions to use technology in Singapore and Malaysia. A survey was employed to validate items from past research. Using the Technology Acceptance Model (TAM) as a research framework, 495 pre-service teachers from Singapore and Malaysia responded to an 11-item questionnaires containing four constructs: intention to use (ITU), attitude towards computer use (ATCU), perceived usefulness (PU), and perceived ease of use (PEU). Structural equation modelling (SEM) was employed as the main method of analysis in this study. A multi-group analysis of invariance was performed on the two samples. The results show that configural and metric invariance were fully supported while scalar and factor variance invariance were partially supported, suggesting that the 11-item measure of the TAM may be robust across cultures and that the factor loading pattern and factor loadings appeared to be equivalent across the cultures examined. While all the paths in the structural model were significant, the variance accounted for in the dependent variable (ITU) was much larger in the Malaysian sample relative to the Singaporean sample.     

Exploring Factors Affecting the Adoption of Internet of Things Services

The Internet of things (IoT) is seen as a potentially effective means of integrating multiple technologies to improve the quality of life. However, little attention has been paid to factors that may have a significant effect on a user’s intention to use the IoT services. This study applies the value-based adoption model to examine the influences of benefits (i.e. perceived usefulness and perceived enjoyment) and sacrifices (i.e. perceived privacy risk and perceived costs) on the user’s perceived value of and intention to use the IoT services. A structural equation modeling approach is applied to a survey of 489 IoT users, with results indicating that perceived usefulness and perceived enjoyment significantly affect behavioral intention through perceived value. Moreover, perceived privacy risk also plays a key factor in determining IoT adoption. The implications of this study are discussed.     

Does the technology acceptance model predict actual use? A systematic literature review

ContextThe technology acceptance model (TAM) was proposed in 1989 as a means of predicting technology usage. However, it is usually validated by using a measure of behavioural intention to use (BI) rather than actual usage.ObjectiveThis review examines the evidence that the TAM predicts actual usage using both subjective and objective measures of actual usage.MethodWe performed a systematic literature review based on a search of six digital libraries, along with vote-counting meta-analysis to analyse the overall results.ResultsThe search identified 79 relevant empirical studies in 73 articles. The results show that BI is likely to be correlated with actual usage. However, the TAM variables perceived ease of use (PEU) and perceived usefulness (PU) are less likely to be correlated with actual usage.ConclusionCare should be taken using the TAM outside the context in which it has been validated.     

Modeling the stimulators of the behavioral intention to use mobile entertainment: Does gender really matter?

This research aims to empirically examine the stimulators that influence consumers’ behavioral intention to use (IU) mobile entertainment (ME) in Malaysia. The proposed stimulators are perceived usefulness (PU), perceived ease of use (PEOU), social influence (SI), perceived self-efficacy (PSE) and perceived enjoyment (PE). PU and PEOU were derived from TAM, SI was taken from the TRA, TPB and DOI model, PE was obtained from the extended-TAM model and PSE was taken from Bandura’s theory. This is among the first study that uses a model consisting of integrated constructs from TAM, extended-TAM, TRA, TPB, DOI and Bandura’s theory in predicting acceptance of ME. Empirical data were analyzed by employing Structural Equation Modeling (SEM) analysis. Gender moderating effect was examined via multiple group analysis (MGA). The findings revealed that PU, PEOU, SI and PE are positively associated with consumer IU of ME. Surprisingly, there were no significant moderating effects of gender. The control variables (i.e. age, marital status, education level, number of mobile phone and experience) were found to have no confounding effects on the ME adoption. The findings have contributed theoretical and managerial implications to ME providers, mobile phone manufacturers, the music, movie and gaming industry players.     

Factors affecting e-training adoption: an examination of perceived cost,computer self-efficacy and the technology acceptance model

The objective of this paper is to highlight the role that perceived cost, computer self-efficacy and the technology acceptance model (TAM) constructs have in e-training adoption in the Nigerian civil service. With the use of the SmartPLS 2.0 M3 software, a framework that included perceived cost, computer self-efficacy and TAM constructs (perceived usefulness (PU) and perceived ease of use (PEOU)) was tested on 450 heads of departments. Scales on perceived cost, computer self-efficacy, PU and PEOU developed by previous studies were modified accordingly and used. This paper found perceived cost to have a significant effect on e-training adoption. Computer self-efficacy was statistically insignificant through PEOU. In addition, PEOU had an indirect effect through PU. Therefore, only PU of the TAM constructs indicated strong predictive strength in e-training adoption. This paper showed that with e-training adoption, facilities such as computers can be put in place, which can improve the outlook of the civil service. In addition, the cost that is usually associated with traditional training can be reduced, increasing the opportunity to invest in other aspects of the civil service which can help in adding to the overall performance. Relationships were examined in this paper, which were shown to be favourable to e-training adoption in the Nigerian civil service.     

Predicting Drivers of Mobile Entertainment Adoption: A Two-Stage SEM-Artificial-Neural-Network Analysis

This study aims to understand users’ motivations to adopt mobile entertainment (m-entertainment). Extending the Technology Acceptance Model (TAM), this study examined the effects of trust, perceived financial cost (PFC), and quality of the service on consumers’ decision in adopting the m-entertainment. Survey data were collected from 524 mobile users and analyzed using both structural equation modeling (SEM) and neural network (NN) . The result showed that perceived usefulness (PU), perceived ease of use (PEOU), and quality of service (QS) are important predictors of m-entertainment adoption. The study contributes to the existing literature by extending the TAM model as well as examining m-entertainment, an important and emerging business model in mobile commerce. A new analytical approach using both SEM and NN was also employed in this study.     

Obstacles to social networking website use among older adults

Social networking websites (SNSs) have become popular among younger adults, but internet-using older adults have not adopted this communication medium nearly as quickly ( and ). This study seeks to understand what factors encourage or discourage older adults from using SNS, like Facebook, to help understand what may be done to ensure both generations have communication media over which they enjoy and feel comfortable communicating. Using the Technology Acceptance Model (TAM;  and ) as a framework, 124 internet-using older adults aged 60–90, completed attitudinal measures of perceived usefulness of SNS, perceived ease of use of websites, social pressures to use SNS, and trust in SNS, as well as behavioral measures of current internet use, SNS use, and intention to use SNS in the future. Regression analyses revealed significant predictors of SNS include perceived usefulness, trust in SNS, and frequency of internet use. Unexpectedly, factors of ease of use and social pressures were not significant predictors. Implications for the TAM and for individuals with an interest in getting older adults to use SNS are discussed.     

An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study

While on-line tax is considered as a special type of e-service, the adoption rate of this service in Taiwan is still relatively low. The initial adoption of on-line tax is the important driving force to further influence the use and continued use of this service. The model of Trust and technology acceptance model (TAM) in Gefen et al. (2003a, MIS Quarterly 27(1), 51–90) has been well studied in on-line shopping and showed that understanding both the Internet technology and trust issue is important in determining behavioral intention to use. Besides, the diffusion of on-line tax could also be influenced by the potential antecedents such as individuals, organizational members, and social system while the issue for innovative technology is well discussed in Rogers (1995, The Diffusion of Innovation, fourth ed. Free Press, New York). Theory of planned behavior (TPB) is the model widely used to discuss the effect of these antecedents in behavioral intention. An extension of Trust and TAM model with TPB would be in more comprehensive manner to understand behavioral intention to use on-line tax. Furthermore, a large sample survey is used to empirically examine this framework.     

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.     

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.     

Attitudinal and experiential predictors of technological expertise

This study sought to clarify which computer and Internet skills and experiences differentiate technological expertise and to identify predictors of this expertise. Two hundred and fifty-eight incoming university students were surveyed on Internet and computer experiences, skills, and attitudes. Six specific Internet and computer uses that differentiate technological expertise were identified based on frequency of use. Males and those who own computers had greater technological expertise. Factor analyses identified two skill factors (Internet skills, Computer/Math skills), three experience factors (Internet, Computer, Recreational Use of Internet), five attitude factors (Importance of Internet and computer knowledge, Computer aversive, Internet and computer comfort/competency, Internet and computer overuse, Technology aversive). These factors as well as gender, computer ownership, and weekly computer and Internet use were entered as independent variables in a general linear model (GLM) which was then used to determine which factors affected technological expertise. The overall GLM was significant (R² = .414, F = 5.85, p < .001). Internet and computer skills and computer abuse were the strongest predictors of technological expertise. Weekly Internet use, Internet and computer comfort/competency also were predictors, and gender was almost significant (p = .056) as a predictor. Neither computer ownership nor other Internet and computer attitudes were significant predictors.     

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.     

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.     

基于TAM的企业云应用服务采纳模型及关键因素

云计算将主导企业应用的未来已成为业界的共识,转向云计算是企业应用模式的颠覆性变化。企业用户需要采纳适合企业自身需求的云计算方案,具备评估采纳云应用服务风险的能力;而服务提供商则应提供满足不同企业需求的云应用服务。采用技术接受模型(TAM)的相关理论建立云应用服务技术接受模型,并运用模糊决策实验与实验评估法(DEMATEL)对所设计模型及实例数据进行分析,检验所设计的云应用服务技术接受模型及关键因素。研究结果表明,感知有用性、应用服务质量、社交影响对企业用户采纳产生关键影响。     

Behavioral intention,use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning

Widespread implementation of e-learning systems – learning management systems, virtual learning environments – across higher education institutions has aroused great interest on the study of e-learning acceptance. Acceptance studies focus on the predictors of system adoption and use, with behavioral intention to use the system as a proxy for actual use. This study proposes a TAM3-based model – with the inclusion of two additional variables: personal innovativeness in the domain of information technology and perceived interaction – to study the factors influencing the acceptance of e-learning systems. Attention is also brought towards the role of behavioral intention, especially in its relation with use behavior. In order to do so, two different settings were considered: higher education and lifelong learning; data was gathered from a survey administrated to Spanish graduate and lifelong learning students, and partial least squares analysis was used to test the research model. Results supported TAM relations, except for the intention-behavior linkage, and unveiled a dual nature of perceived usefulness – with one component related to efficiency and performance, and another component related to flexibility. The adequacy of applying TAM3-based models in educational contexts and suitability of actual system usage measures are also discussed.     

Mobile Technology in the Classroom: What Drives Student-Lecturer Interactions?

Online learning when combined with mobile technology transforms the traditional classrooms from teacher-centered to student-centered classrooms. Despite the widespread use of mobile technology among students and educators today, limited researches have been conducted to study the effects of using mobile technology to enhance student–lecturer interactions. In addition, existing theories of technology acceptances, chiefly Information System Success Model (ISSM), Motivational Model (MM), Social Cognitive Theory (SCT), Technology Acceptance Model (TAM), and Cultural Dimension Theory (CDT) are widely recognized for their predictive power in determining adoption intentions. In this study, determinants from all five theories were unified and examined, namely system quality and information quality from ISSM, enjoyment from MM, perceived usefulness and perceived ease of use from TAM, self-efficacy from SCT, and uncertainty avoidance from CDT as predictors of adoption intention in the context of predicting student–lecturer interactions. This empirical study was conducted using an online survey. Data collected from the samples (n = 328) were analyzed using PLS-SEM. Results obtained exhibited adequate explanatory power, where information quality, system quality, enjoyment, and uncertainty avoidance significantly predict adoption intention, while perceived usefulness, perceived ease of use, and self-efficacy were insignificant. Secondly, each theory was independently analyzed, and the predictive power and relevance of ISSM, MM, TAM, and UDT confirmed the importance and relevance of these theories. Results obtained provided a comprehensive understanding of the factors that significantly affect students’ intentions to use mobile technology to interact with their lecturers on academic matters. The discussions and implications of this study are crucial for researchers and practitioners of educational technologies in higher education.     

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.     

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.     

Exploring influencing factors of technology use for active and healthy ageing support in older adults

ABSTRACT

Aim of this study is to investigate the influence of technological and social cognitive factors for the use of sensor-based technologies for active and healthy ageing (AHA) support by older adults. In a mixed methods approach, data was initially obtained from an online questionnaire completed by older health technology users and used in a regression analysis, where factors from the Technology Acceptance Model (TAM) and the Social Cognitive Theory (SCT) served as predictors for health technology use (HTU). Further, in-depth interviews were conducted with older adults to gain insights into technology use and physical activity behaviour of older adults. The regression analysis showed that the TAM and SCT factors accounted for a significant proportion of variance (39.5%) in HTU. Significant predictors of HTU were physical activity (.399**), social support (.287*), and expectations regarding individual health (.440*) and physical appearance (?.470**), indicating physical activity as mediator for HTU. The qualitative analysis indicated the conflation of technology support with social environments as key for physical activity behaviour in older adults. The findings indicate physical activity as a mediator in HTU by older adults and suggest that the consideration of social factors in health technology design may facilitate the uptake of AHA technologies.     

基于技术接受模型的老年人门户设计与实现

针对现有互联网应用更多侧重于青少年而面向老年人特别是中国老年人的研究相对较少、已有老年人互联网应用实践均将老年人作为一个孤立群体看待的问题, 根据中国老年人的特点提出了老年人门户概念, 基于技术接受模型设计了老年人门户, 并进行了门户研发实践。老年人门户不仅为老年人提供信息、产品、交流、娱乐等互联网服务, 还提供老人定位防丢失等多种应用服务。在老年人门户中, 老年人的角色不仅是用品和服务的接受者, 同时是可以发挥主观能动性的服务提供者。实践结果证明, 老年人门户解决了现有老年人网站存在的孤岛问题, 架起了老年人与家庭、社区、社会相联系的桥梁, 可有效提高老年人的幸福指数。未来, 基于老年人门户的老年人数据挖掘和智能分析结果对于老年学研究、政府决策、非政府组织和企业发展均具有重要的意义。