Technology Acceptance Model: Worried about the Cultural Influence?

The main aim of this paper is to propose a conceptual model of technology acceptance that explains how individual, social, organizational factors affect the users' behavioural intention to use technology by academics for teaching and learning activities. More specifically, the proposed model extends the Technology Acceptance Model (TAM) to include nine constructs namely, peer influence, superior influence, resource facilitation, technology facilitations; self-efficacy, academic tasks, non-academic tasks, government support, and finally, institute support. In addition, seven demographic and situational moderators (age, education level, organisation type, academic position, voluntariness and usage experience) are hypothesized to have a moderating effect on individuals' acceptance behaviour. This model provides valuable insights into the factors that influence the acceptance or resistance of Internet and technology by intended users and offers opportunities for future research ...

2008

HCI methods and tools are often used cross-culturally before being tested for appropriateness and validity. 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. Categories and Subject Descriptors H.5.2 [User interfaces]: Evaluation/methodology

2007

ABSTRACT HCI methods and tools are often used cross-culturally before being tested for appropriateness and validity. 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).

This paper examines the social, organisational and individual factors that may affect students' acceptance of e-learning systems in higher education in a cross-cultural context. A questionnaire was developed based on an extended technology acceptance model (TAM). A total sample of 1173 university students from two private universities in Lebanon and one university in England participated in this study. After performing the satisfactory reliability and validity checks, the hypothesised model was estimated using structural equation modeling. The findings of this study revealed that perceived usefulness (PU), perceived ease of use (PEOU), social norms (SNs), perceived quality of work life (QWL), computer self-efficacy (SE) and facilitating conditions (FC) are significant determinants of behavioural intentions (BIs) and usage of e-learning system for the Lebanese and British students. QWL, the newly added variable, was found the most important construct in explaining the causal process in the model for both samples. Differences were found between Lebanese and British students with regard to PEOU, SN, QWL, FC, SE and actual usage; however, no differences were detected in terms of PU and BI. Overall, the proposed model achieves acceptable fit and explains for 69% of the British sample and 57% of the Lebanese sample of its variance which is higher than that of the original TAM. Our findings suggest that individual, social and organisational factors are important to consider in explaining students' BI and usage of e-learning environments.

User acceptance of technology has been an important field of study for over two decades now. Although many models have been proposed to explain and predict the use of a system, the Technology Acceptance Model has been the only one which has captured the most attention of the Information Systems community. Thus, it is essential for anyone willing to study user acceptance of technology to have an understanding of the Technology Acceptance Model. This paper provides a historical overview of the Technology Acceptance Model (TAM) by summarizing the evolution of TAM, its key applications, extensions, limitations, and criticisms from a selective list of published articles on the model. Current observations indicate that although TAM is a highly cited model, researchers share mixed opinions regarding its theoretical assumptions, and practical effectiveness. It is concluded that research in TAM lacks sufficient rigor and relevance that would make it a well established theory for the IS community.

2016

Social networking websites, in general, and Facebook, in particular, gained a lot of popularity among university students. The increasing rate of the Facebook adoption stimulates the researchers to analyze and explain its usage. A well known model able to do this is the technology acceptance model (TAM) that has been tested on a large diversity of computer systems. This paper presents a case study in testing TAM to explain the adoption of Facebook by Romanian university students. The model estimation results show that the perceived ease of use and the perceived enjoyment have a stronger influence on the intention to use Facebook than the perceived usefulness. This study found that the most important determinant is the perceived enjoyment.

in Proc. of Fourth International Conference on ICT in Our lives 2014

Abstract— This Paper aims to review IT adoption literature concerning validation and development of Unified Theory of Acceptance and Use of Technology (UTAUT). UTAUT was introduced as an accumulation of various research efforts represented in different models and theories of Technology Acceptance. The UTAUT is considered as a trial to unify terminology of variables of different models and theories of Technology Acceptance. The theory was established on four theoretical constructs representing determinants of Use Behavior or the Intention to Use, which play essential roles as surrogates of Technology Acceptance. These constructs are: Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. In addition to these variables the theory considers also Moderating Factors which moderate the relations between various constructs and Intention to Use. The Moderators are Gender, Age, Experience, and Voluntariness of use. It has been a decade since UTAUT was first introduced. Since then numerous studies either empirically validate or theoretically contribute to the theory. Some of them empirically validate the theory (either in western countries or across different cultures) or even replicate results of originating article. Theory validation and adaptation to be applied in different settings are briefly discussed. A literature review revealed three major trends of theoretical contributions to the theory: suggestion of New Constructs, suggestion of new Moderating Factors, and Finally Theory Extensions and Integration with other theories and models. These research trends are addressed in this Paper.

International Journal of Electronic Government Research, 2020

This article investigates how training public officials from two municipalities in Spain and Cyprus with new technologies affects three dependent variables: level of understanding of the technological innovation being introduced, its perceived usefulness, and its perceived ease-of-use. The tests to determine the impact of training were carried out by means of a self-constructed questionnaire within a repeated measure experimental design. The results demonstrate that the three variables are indeed positively affected by the training sessions to users from both municipalities. Consequently, training plays a vital role in encouraging government employees and administrators to accept, adopt and utilize e-government technologies.

Abstract - Application of new technologies is considered as a key factor for the development of companies in recent years. This puts emphasis on the importance of reviewing factors influencing the acceptance of information technology culture. This study has been done aiming to identify factors influencing the information technology acceptance in companies located in the Tehran science and technology park. 80 companies from industries based in science and technology parks in Tehran were selected of these, 72 questionnaires have been evaluated and Cronbach's alpha was used to measure the reliability and validity of measurement tools. The reliability coefficient of the questionnaire is 0.86, which indicates high reliability of the applied questionnaire and content validity was confirmed by instructors. The research data is analyzed by SPSS which uses the correlation analysis along with significance levels and in the following, t and f tests have been used to study the research additional hypotheses. The results of this study showed that the usefulness and ease of use and subjective norms affect the information technology acceptance through behavior intent and using independent ttest, it was found that looking at research indicators is alike among men and women. Based on the f statistics, attitude to these indices among different education levels is different and the respondents' education has an impact on attitudes to these indicators. Keywords: cultural factors, Information Technology, technology acceptance, TAM, UTA

Today, penetration of using internet banking is rapidly growing in many countries including Malaysia. There is some aspect of this technology that can influence the adaption and usage of this technology. Security, privacy and personal information can lead to create an uncertainty about using of this technology. This paper will work on cultural aspect of acceptance of a new technology. This study tries to find moderating role of culture in technology acceptance. The technology acceptance model (Davis, 1989) will be used in this study, and Hofstede (1980) cultural dimensions (power distance, uncertainty avoidance, and individualism/collectivism) will have moderating role. There are large amount of studies that work on TAM (Taylor and Todd, 1995; Ima, I., Kim, Y., Han, H, 2008 and etc.), but still there is lack of study that work on cultural aspects of technology acceptance. This study as one of the first one tries to find effecting role of culture on technology acceptance model in a wide range of countries around five continents. For developing the hypothesis of this study, first a table was design; base of table was on Hofstede score for countries, a twelve cells table, divided countries according to their dimensions, and each cell consisted of countries with cultural similarities. More than twenty countries have participated in this study. One assumption is that all samples study or work in Malaysia, for African countries, samples were selected that stay in Malaysia more than six months, so all questionnaire will be in English language.270 questionnaires were selected, among this amount, 243 questionnaires were used for this study. Decent method used to analyze was Design of experiment (DOE) and three way analysis of variance. Findings of this study declared that Hofstede cultural dimensions (PDI, IND/CLV and UAI) can affect technology acceptance model items (usefulness, ease of use, subjective norm and perceived behavioral control) in different levels. This study proves the more work on TAM theory in order to improve its reliability of results. Also cross-cultural validation is necessary when TAM wants work in wide range of culture. Developing TAM constructs in order to be useful in different culture is another recommendation of this paper. Unique findings of this study can be a base for managers in multinational countries in order to estimate upgrade or implement a new technology base on their corporate culture in cultural view of accepting this new technology and anticipate employee's behaviors.