Revised Technology Acceptance Model Research Articles

The Technology Acceptance Model and Its Application in a Telehealth Program for the Elderly With Chronic Illnesses

Many technology developments hold the potential to improve the quality of life of people and make life easier and more comfortable. New technologies have been well accepted by most people. Information sharing in particular is a major catalyst of change in our current technology-based society. Technology has widely innovated life and drastically changed lifestyles. The Technology Acceptance Model (TAM), a model developed to address the rapid advances in computer technology, is used to explain and predict user acceptance of new information technology. In the past, businesses have used the TAM as an assessment tool to predict user acceptance when introducing new technology products. They have also used external factors in the model to influence user perceptions and beliefs and to ensure the successful spread of new technologies. Informatization plays a critical role in healthcare services. Due to the rapid aging of populations and upward trends in the incidence of chronic illness, requirements for long-term care have increased in both quality and quantity. Therefore, there has been an increased emphasis on integrating healthcare and information technology. However, most elderly are significantly less adept at technology use than the general population. Therefore, we reexamined the effect that the essential concepts in a TAM exerted on technology acceptance. In the present study, the technology acceptance experience with regard to telehealth of the elderly was used as an example to explain how the revised technology acceptance model (TAM 2) may be effectively applied to enhance the understanding of technology care among nurses. The results may serve as a reference for future research on healthcare-technology use in long-term care or in elderly populations.

Exploring physicians' behavioural intention toward the adoption of electronic health records: an empirical study from Jordan

The response of health professionals to the use of health information technology (HIT) can partly explain the success or failure of any HIT adoption and/or its application. The present study applies a modified version of the revised technology acceptance model (TAM) to examine EHR acceptance and utilisation by physicians in Jordan. The paper presents the theoretical basis behind the development of a research model which was employed to empirically validate the model using substantial quantitative data. The theoretical significance of this work is evidenced by utilising a rigorously constructed research model to extend technology acceptance research into the health sector.

A Technology Adoption Model for Broadband Internet Adoption in India

Since 1980, corporations have spent nearly 50% of their revenue on technology, yet 50% of these new systems fail. The field of technology acceptance modeling posits that user acceptance is a root cause of these failures. Technology acceptance studies endeavor to determine the factors that lead users to adopt or reject a technology, but existing models have multiple weaknesses that impact their effectiveness and applicability. This study used enterprise system engineering principles to analyze and improve existing technology acceptance models, and proposed a new model that could be applied to disadvantaged user populations. The study analyzed information technology survey results from 338 firms across India and used the revised technology acceptance model to identify factors that were correlated to broadband internet use. The study found that relative advantage, process support infrastructure, relative cost, technology accessibility, and relevant knowledge were significantly correlated to broadband internet use, which supports the case for further research to integrate and improve this model.

Using Porter Five Forces and Technology Acceptance Model to Predict Cloud Computing Adoption among IT Outsourcing Service Providers

As IT outsourcing services are crossing path with cloud computing services in the new dawn of cloud computing era, there is a lacking of research and framework to explain how IT outsourcing service provider will intend to adopt cloud computing based on some competitive analyses of its business environments. This research developed a conceptual framework to measure such intention underpinned on both Porter Five Forces (Porter, 1980) and revised Technology Acceptance Model (Venkatesh & Davis 1996). This paper is only the first phase of this research. Literature review is conducted, research problem is identified, research objective and questions are provided. Conceptual framework, hypotheses as well as the research methodology are also explained in this paper. Lastly, contribution, limitation and conclusion are also included.

Factors affecting Chinese Ubiquitous Game Service usage intention

The Ubiquitous Game Service (UGS) in China has emerged as the most innovative entertainment technologies adding new revenue streams, utilising the potentialities of wireless consumer applications and service offers. The study intends to examine the characteristics of Chinese game users and service affecting the intention to use UGS based upon a revised Technology Acceptance Model (TAM). The external variables include user-related factors (self-efficacy, innovativeness and self-expressiveness) and service-related factors (visibility and incentives). The survey of 536 Chinese users and the multiple regression analysis show that self-efficacy, innovativeness and visibility affect perceived ease of use whereas self-expressiveness, visibility, incentives and perceived ease of use influence perceived enjoyment. Incentives and perceived enjoyment are determinants of the behavioural intention to use. The marketing efforts should be targeted at the customers with self-efficacy, innovativeness and self-expressiveness, whereas the design strategy should be directed towards increasing visibility and incentives for the customer adoption of UGS.

An empirical investigation of social network influence on consumer purchasing decision: The case of Facebook

Social networks are becoming an efficient tool for IT-based business, by providing several services for both consumers and marketers. The aim of this paper is to investigate to what extend social networks, as Facebook, influence consumer's purchasing decision through a quantitative analysis, which integrates a revised technology acceptance model. The findings confirm that enjoyment is a key determinant of social networks usage as tool for supporting the purchasing decision. This research moves beyond social networks usage to factors related to the Facebook-mediated marketing communications, by providing significant data on the weight of this channel for the development of new direct marketing strategies.

Acceptance of health information technology in health professionals: An application of the revised technology acceptance model

The response of health professionals to the use of health information technology (HIT) is an important research topic that can partly explain the success or failure of any HIT application. The present study applied a modified version of the revised technology acceptance model (TAM) to assess the relevant beliefs and acceptance of HIT systems in a sample of health professionals (n = 133). Structured anonymous questionnaires were used and a cross-sectional design was employed. The main outcome measure was the intention to use HIT systems. ANOVA was employed to examine differences in TAM-related variables between nurses and medical doctors, and no significant differences were found. Multiple linear regression analysis was used to assess the predictors of HIT usage intentions. The findings showed that perceived ease of use, but not usefulness, relevance and subjective norms directly predicted HIT usage intentions. The present findings suggest that a modification of the original TAM approach is needed to better understand health professionals' support and endorsement of HIT. Perceived ease of use, relevance of HIT to the medical and nursing professions, as well as social influences, should be tapped by information campaigns aiming to enhance support for HIT in healthcare settings.

The driving factors of continuance online shopping: gender differences in behaviour among students – the case of Saudi Arabia

This study proposes a model of e-shopping continuance intentions combining the revised technology acceptance model and expectation confirmation theory, measuring student gender differences with regard to continuance online shopping intentions in Saudi Arabia. The results of an online survey (n = 234, 61.5% women, 38.5% men) are used in a structural equation model that confirms fit. Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. The structural weights are largely equivalent, but the paths from subjective norms to enjoyment and subjective norms to continuance intention (men) and perceived usefulness to continuous intention (women) are not supported. The main contribution is to move beyond intentions to continuance. The model explains 71% of the intention to continue shopping online. The results suggest that online strategies cannot ignore gender differences on continuance intentions. The model can be generalised across the main commercial regions of Saudi Arabia.

Extending the Technology Acceptance Model to Account for Social Influence, Trust and Integration for Pervasive Computing Environment: A Case Study in University Industry

Problem statement: The aims of this study are to develop ubiquitous computing environment using Bluetooth (UCEB) and measure the validity and reliability on in order to support student admission services in University Industry Selangor (UNISEL). Approach: This study is based on the descriptive survey research using revised Technology Acceptance Model (TAM), known as Pervasive Technology Acceptance Model (PTAM). Results: This research involved all the aspects of PTAM which are namely perceived usefulness, perceived ease of use, social influence, trust, integration, attitude, behavioural intention and actual use towards using the UCEB. A total of 111 respondents were selected as a sample for this study. This research is also conducted on the same respondents to find out the user acceptance on UCEB to support student admission services. Conclusion/Recommendations: The respondents were the academic committees consist of students, academicians and non-academician of UNISEL. A questionnaire was used to collect information from the respondents based on likert scale to measures the extent to which a person agrees or disagrees with the question. The quantitative data were analyzed using SPSS system to produce statistical inference for Pearson correlation test.

What drives consumers' continuance intention to e‐shopping?

Purpose – The purpose of this study is to propose a model of e‐shopping continuance intentions that incorporates the revised technology acceptance model and expectation confirmation theory and evaluates the expanded model in a new context: Saudi Arabia.Design/methodology/approach – The 465‐respondent sample consists of internet users in Saudi Arabia. A structural equation model confirms model fit.Findings – Perceived usefulness, enjoyment, and social pressure are determinants of online shopping continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived usefulness to continuous intention are not invariant between men and women. Notwithstanding that the study finds few differences between men's and women's e‐shopping behaviour, the findings for women are important because of the special role that e‐shopping can play in Muslim countries, including Saudi Arabia where there are cultural and legal restricti...

Antecedents of continuance intentions towards e‐shopping: the case of Saudi Arabia

Purpose – The purpose of this study is to clarify the theoretical problem and identify factors that could explain the level of continuance intentions towards e‐shopping. It aims to propose a revised technology acceptance model that integrates expectation confirmation theory to measure age differences with regard to continuance intentions towards e‐shopping in Saudi Arabia.

Determinants of Customer Continuance Intention of Online Shopping

The purpose of this study is to clarify theory and identify factors that could explain the level of continuance intention of e-shopping. A revised technology acceptance model integrates expectation confirmation theory and investigates effects of age differences. An online survey of internet shoppers in Saudi Arabia. Structural equation modelling and invariance analysis confirm model fit. The findings confirm that perceived usefulness, enjoyment and social pressure are determinants of e-shopping continuance. The structural weights are mostly equivalent between young and old but the regression path from perceived usefulness to social pressure is stronger for younger respondents. This research moves beyond e-shopping intentions to factors affecting e-shopping continuance, explaining 55% of intention to continue shopping online. Online strategies cannot ignore direct and indirect effects on continuance intentions. The findings contribute to literature on internet shopping and continuance intentions in the context of Saudi Arabia.

The Forecasting of 3G Market in India Based on Revised Technology Acceptance Model

3G, processor of 2G services, is a family of standards for mobile telecommunications defined by the International Telecommunication Union [1]. 3G services include wide-area wireless voice telephone, video calls, and wireless data, all in a mobile environment. It allows simultaneous use of speech and data services and higher data rates.3G is defined to facilitate growth, increased bandwidth and support more diverse applications. The focus of this study is to examine the factors affecting the adoption of 3G services among Indian people. The study adopts the revised Technology Acceptance Model by adding five antecedents-perceived risks, cost of adoption, perceived service quality, subjective norms, and perceived lack of knowledge. Data have collected from more than 400 school/college/Institution students & employees of various Government/Private sectors using interviews & various convenience sampling procedures and analyzed using MS excel and MATLAB. Result shows that perceived usefulness has the most significant influence on attitude towards using 3G services, which is consistent with prior studies. Of the five antecedents, perceived risk and cost of adoption are found to be significantly influencing attitude towards use. The outcome of this study would be beneficial to private and public telecommunication organizations, various service providers, business community, banking services and people of India. Research findings and suggestions for future research are also discussed.

The Factors Driving Continuance Online Shopping in Saudi Arabia

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure regional differences with regard to continuance online shopping intentions in Saudi Arabia. Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Women in the eastern, western, and central region groups are equivalent. The structural weights are also largely equivalent, but the regression path from perceived usefulness to enjoyment is not invariant between female shoppers in the eastern and western regions or in the eastern and central regions. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the intention to continue shopping online. Furthermore, this research suggests that online strategies cannot ignore the influence of either direct or indirect regional differences on continuance intentions; the model can be generalized across Saudi Arabia.

Internet banking acceptance model: Cross-market examination

This article proposes a revised technology acceptance model to measure consumers' acceptance of Internet banking, the Internet banking acceptance model (IBAM). Data was collected from 618 university students in the United Kingdom and Saudi Arabia. The results suggest the importance of attitude, such that attitude and behavioral intentions emerge as a single factor, denoted as “attitudinal intentions” (AI). Structural equation modeling confirms the fit of the model, in which perceived usefulness and trust fully mediate the impact of subjective norms and perceived manageability on AI. The invariance analysis demonstrates the psychometric equivalence of the IBAM measurements between the two country groups. At the structural level, the influence of trust and system usefulness on AI varies between the two countries, emphasizing the potential role of cultures in IS adoption. The IBAM is robust and parsimonious, explaining over 80% of AI.

The perception and intention to adopt female-focused healthcare applications (FHA): A comparison between healthcare workers and non-healthcare workers

Objective To explore differences in perception and acceptance levels of Female-focused Healthcare Applications (FHA). This study will focus on the different demographic data between female healthcare and non-healthcare workers. Method Questionnaires were used in a revised technology acceptance model entitled as the Female-focused Acceptance Model (FAM) to examine the perception and acceptance of the test subjects, using a quantitative method. Results Within Singapore 1071 females participated in the study (71.4% response rate). The sample comprised of 241 healthcare workers (HC) and 830 non-healthcare (NHC) workers. The questionnaires were distributed to participants, by research administrators across the country, such as the National University Hospital Women's Clinics and the National Healthcare Group polyclinics. Regression analyses were performed to explain how different predictors may be correlated to each other in terms of significance. Both groups of women who believe that FHA is easy to use are confident that it will have beneficiary outcomes ( p < 0.001) and intend to use FHA (HC: p = 0.012, NHC: p < 0.001). The HC group who were in education to the university level intend to use FHA ( p = 0.047). The NHC group who have a good impression of current healthcare technologies ( p < 0.001) or were in education to a higher level ( p = 0.025) intend to use FHA. NHC who are not influenced by their family and friend's views of FHA feel that the devices would be useful ( p = 0.013). NHC who are satisfied with current healthcare technologies ( p = 0.048), or have previous experience of using medical devices ( p = 0.033) think FHA would be easy to use. Conclusion This study shows that FAM works well for detecting social variables which may influence “female” acceptance (with the R square values of the FAM ranging from 54% to 68%). It presents design implications for future FHA – The direct support from HC coupled with the user-friendly personal device ensures that the technology is an effective enabler for personal well-being and self-managed healthcare. In order to encourage women to adopt and use these applications, there is a need to communicate the potential usefulness of the applications to women. To encourage the pregnant women to use FHA (in the area of prenatal care), issues such as their experience with medical devices and social status should be considered. The findings and their implications presented here were obtained from a single study that targeted a possible user group in Singapore. Further research could be carried out in the future to access similar issues across broader cultural and social horizons.

Mobile computing acceptance factors in the healthcare industry: A structural equation model

Objective This paper presents a revised technology acceptance model to examine what determines mobile healthcare systems (MHS) acceptance by healthcare professionals. Method Conformation factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique was used to evaluate the causal model. Results The results indicated that compatibility, perceived usefulness and perceived ease of use significantly affected healthcare professional behavioral intent. MHS self-efficacy had strong indirect impact on healthcare professional behavioral intent through the mediators of perceived usefulness and perceived ease of use. Yet, the hypotheses for technical support and training effects on the perceived usefulness and perceived ease of use were not supported. Conclusion This paper provides initial insights into factors that are likely to be significant antecedents of planning and implementing mobile healthcare to enhance professionals’ MHS acceptance. The proposed model variables explained 70% of the variance in behavioral intention to use MHS; further study is needed to explore extra significant antecedents of new IT/IS acceptance for mobile healthcare. Such as privacy and security issue, system and information quality, limitations of mobile devices; the above may be other interesting factors for implementing mobile healthcare and could be conducted by qualitative research.

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 commer...

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.

Empirical evaluation of the revised end user computing acceptance model

This paper proposed a revised technology acceptance model for measuring end user computing (EUC) acceptance. An empirical study was conducted to collect data. This data was empirically used to test the proposed research model. 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. The results demonstrate that the model explains 56% of the variance. This finding contributes to an expanded understanding of the factors that promote EUC acceptance. The implication of this work to both researchers and practitioners is discussed.