Technology Acceptance – Useful Links

  1. Theories Used in IS Research, UTAUT,
  2. Wikipedia’s Unified Theory of Acceptance and Use of Technology,
  3.’UTAUT’, The complete Venkatesh et. al. (2003) paper
  4.’UTAUT’, A paper presented by Anderson and Schwager at the 7th Annual Conference of the Southern Association for Information Systems on the application of UTAUT to the adoption of wireless LAN technology by SME’s
Categories: Uncategorized

Validating the Unified Theory of Acceptance and Use of Technology (UTAUT) tool cross-culturally


As new tools emerge, they must be cross-culturally validated to  ensure that they work with all audiences, not just those in the country in which they were developed. This paper presents the validation of a technology acceptance model over nine culturally-diverse countries. The model validated is the Unified Theory of Acceptance and Use of Technology (UTAUT). The paper also explores ongoing analysis of the culture differences that emerge on UTAUT measures, and suggests avenues for future work.


Cultural models have been used to explain cross-cultural differences in technology acceptance, adoption and uptake. However, models of cultural differences may not be applicable, or indeed valid, for use in the field. “Technology acceptance,” that is, people’s attitude to the up-
take and use of different technologies, has emerged as a strong candidate for cross-cultural validation of HCI tools.


The aim of the present study was to collect data from countries around the world to cross-culturally validate the UTAUT tool. The data was collected from undergraduate and postgraduate students from all countries sampled

UTAUT Analysis In All Countries

The data for the English only language sample was analyzed to ensure that the changes made to UTAUT had not affected its overall validity. This sample included New Zealand, the United Kingdom and the United States. South Africa and India were not included in this analysis because while English is used in higher education and in business it is not necessarily the only or first language of the participants. The data was then analysed as one complete set to ascertain if UTAUT would work on a widely-heterogeneous sample.

Analysis of Means of UTAUT Constructs

Because different UTAUT constructs emerged as having more influence (explaining more variance) in some countries sampled than others, it is interesting to see if the differences are significant. It was not possible to assume that the samples were parametric in nature.


The results presented in this study clearly show that the UTAUT tool is robust enough to withstand translation and to be used cross-culturally, outside its original country and language of origin. This finding is useful, as it enables HCI researchers and practitioners to use the tool in an international context without concern for its cross-cultural validity. The authors’ analysis seemed to indicate that the UTAUT tool will uncover cultural differences at least in the constructs it measures. The authors’ analysis also gives an initial indication that the UTAUT tool may be useful in providing insight into cross-cultural technology acceptance differences. This is a particularly useful result,  as the current trend for explaining such differences relies heavily on the use of cultural models that have not been validated in the HCI field.



  • Lidia Oshlyansky
    University of Wales Swansea
  • Paul Cairns
    Dept of Computer Science
  • Harold Thimbleby
    University of Wales Swansea
Categories: Adoption

The Use of the UTAUT Model in the Adoption of E government Services in Kuwait


AlAwadhi & Morris (2008) relied on UTAUT by surveying 880 university students to find out the factors that affect the adoption of E-government services in Kuwait. The results revealed that peer influence, performance expectancy and effort expectancy played a major role in determining students’ behavioral intention. The researchers had also noticed that the facilitating conditions and behavioral intentions affected the students’ use of e-government services in Kuwait.


The success of E-government initiatives is dependent not only government support, but also on citizens’ willingness to accept and
adopt those e-government services [10]. Government decision makers, therefore, need an understanding of the factors that would encourage use of electronic service delivery channels rather than more traditional service delivery methods.

Literature Review

A number of studies have investigated the adoption of e-government services in developed countries whereas relatively little has been undertaken in developing countries.

Carter and Belanger surveyed 140 students in the US to investigate factors that influence citizens’ adoption of e-government services. They adopted the DOI and examined what they thought were the most relevant constructs, namely, relative advantage, compatibility, ease of use and image, which affect the intention of citizens to use e-government services. The findings showed that higher levels of relative advantage, compatibility and image are significantly associated with an increased intention to adopt e-government services.

Another study, based on technology adoption theories, was undertaken by Hung, Chang and Yu who investigated the public’s acceptance of the online tax filing and payment system (OTFPS), an e-government service in Taiwan. Based on TPB, the researchers proposed a comprehensive model to elicit users’ salient attitudes towards e-government services using an e-mail questionnaire survey. The study found that perceived usefulness, ease of use, perceived risk, trust, compatibility, external influence, interpersonal influence, self-efficacy and facilitating conditions were critical factors in the adoption of OTFPS.

Research Model

The comprehensiveness, validity and reliability of the UTAUT model have encouraged the authors of this study to adopt and validate it in the context of e-government adoption in a developing country. The model was amended to suit the context of the study. Performance expectancy was measured by the perceptions of using e-government services in terms of benefits, such as saving time, money and effort, facilitating communication with government, improving the quality of government services and by providing citizens with an equal basis on which to carry out their business with government. The amended model also considered the influence of the moderators that were thought would influence the four direct determinants: gender, Internet experience and type of academic course.


Quantitative research in the form of a questionnaire survey was undertaken to meet the aim of the research. The study was limited to undergraduate and postgraduate students at Kuwait University. The questionnaire was administered to 1013 students taking scientific and humanities courses. It was designed to be short, unambiguous and easy for respondents to complete. Because the e-government project was not widely known in Kuwait, it also provided a definition of e-government. Respondents were instructed to indicate their perceptions of the amended UTAUT model, which included performance expectancy, effort expectancy, peer influence, facilitating conditions and behavioural intention to use e-government services, all elicited by using a seven-point Likert scale ranging from 1 “strongly disagree” through to 7 “strongly agree”. Consistent with other research, similar items were grouped together for higher reliability and validity of the model.

Data Analysis

About two thirds (69.8%) of respondents were female and one third (30.2%) male, with an average age of 20 years. The study attempted to explore any changes in respondents’ intentions through the “intention” question, which asked respondents whether they intended to use e-government services in the future: in “four weeks”, in “three months” or in the “future”. Thus, this made the behavioural intention construct a binary outcome variable.As there were two binary outcome variables (behavioural intention and use) the analysis was run separately for each. Logistic regression, using SPSS software, was utilised to facilitate the analysis, which investigated the relationship of predictor variables to
outcome variables.In the first phase of predicting respondents’ behavioural intention regarding their use of e-government services within the four weeks (following the survey), a logistic regression model was conducted.In the second phase of predicting respondents’ behavioural intentions with regard to their use of e-government services within three months following the survey, similar predictors and their interaction were tested. In the final phase of predicting respondents’ behavioural intentions with regard to their use of e-government services in the future, the model correctly predicted 65.2% of cases.


This study identifies the determinants of potential users’ adoption of e-government services in a developing country using an amended version of the UTAUT model. The findings revealed that performance expectancy, effort expectancy, peer influence and facilitating conditions were significant in the adoption of e-government services in Kuwait. For an effective adoption of the services, widespread and attractive awareness campaigns should be conducted, targeting potential users properly to inform them about the real benefits they would gain from the use of these new types of services.


  • Suha AlAwadhi
    Loughborough University
    Department of Information Science
  • Anne Morris
    Loughborough University
    Department of Information Science


– AlAwadhi, S. & Morris, A. 2008, ’The Use of the UTAUT Model in the Adoption of E government Services in Kuwait’, Proceedings of the 41st Hawaii International Conference on System Sciences, pp.1-11.

Categories: Adoption

The perceptions towards mobile services: An empirical analysis of the role of use facilitators


UTAUT was formulated in 2003, and since then the researchers tried to validate it and use it to explore information technology adoption. Recent work by Koivimaki et al. (2008) tried to apply UTAUT to study the intentions of 24 individuals in Finland against mobile technologies. The researchers found out that the mobile device usage time was not directly related to consumer perceptions, but the familiarity with the devices themselves as well as the user technical skills were the ones that mattered.


– Koivimaki, T., Ristola, A., & Kesti, M. 2008,’The perceptions towards mobile services: An empirical analysis of the role of use facilitators’, Personal & Ubiquitous Computing, vol.12, no.1, pp.67-75.

Categories: Uncategorized


March 22, 2011 1 comment

The Unified Theory of Acceptance and Use of Technology (UTAUT) is considered one of the latest and the most widely used models to analyze user acceptance and use of technology. It was formulated to unify the elements of eight common technology acceptance models: synthesized elements across eight well known technology acceptance models:

  1. Theory of Reasoned Action (TRA) by (Fishbein & Ajzen, 1975)
  2. Technology Acceptance Model (TAM) by (Davis, 1989)
  3. Theory of Planned Behavior (TPB) by (Ajzen, 1991)
  4. Diffusion of Innovations (DOI) by (Rogers, 1983)
  5. Model of PC Utilization by (Thompson, Higgins, & Howell, 1991)
  6. Motivational Model by (Davis et. al 1992)
  7. the combined TAM and TPB (C-TAM-TPB) by (Taylor & Todd 1995)
  8. Social Cognitive Theory (SCT) by (Compeau & Higgins 1995)


As per Venkatesh et al. (2003), the theory consists of four main constructs: performance expectancy, effort expectancy, social influence, and facilitating conditions. Those four constructs represent the independent variables which in turn directly affect two dependent variables: usage intention and usage behavior. In addition to the those six constructs, there are four moderators (Gender, age, experience, and voluntariness) which mediate the main four independent variables.

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February 20, 2011 1 comment

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