A variety of information technology acceptance model had been proposed with different sets of determinants and most of them have been developed in the U.S. It is therefore
questioned whether the models of technology acceptance that have been developed in the U.S. can be used in other countries, especially in Indonesia. It is also questioned whether there might be other determinants such as cultural dimension that also play important roles in this specific environment (Veiga et al., 2001; Bagchi et al.,2003). However, the role of cultural dimensions on internet acceptance research currently lacks a comprehensive conceptual framework for explaining the intention of internet usage especially in Indonesia. To fill this gap, this study extends the Unified Theory of Acceptance and Use
of Technology Model (UTAUT) (Venkatesh et el., 2003) by adding a set of cultural constructs that are derived from Hofstede's national culture dimensions as the antecedents.
The constructs of UTAUT used in this research were Attitude (ATT), Self Eficacy (SEF), Anxiety (ANX), Perceived ease of Use (PEOU), Perceived Usefulness (PU) and Social Influence (SI) and Compatibility (COM), while Hofstede's dimensions used in this research were Individualism (IDV), Power Distance (PDI), User Avoidance (UAI) and Long Term Orientation (LTO). Questionnaire survey method was used to collect primary data from academics within Private Universities in Indonesia. The survey yielded 401 usable questionnaires. Statistical analysis methods and Structural Equation Modeling with SmartPLS version 2.0 were used to analyse data. The findings indicate that the Perceived
Usefulness (PU) and Social Influence (SI) are the most significant determinant of intention to use internet, while ATT, SEF and ANX are not. It is indicate that individual context not influence the intention to use. PEOU and COM has no effect on the intention, it means that the difficulties and compatibility using the internet have no effect on the intention. Meanwhile Individualism (IDV) is a variable that most influence on this model because IDV affect the SEF, ANX, PEOU and PU, followed by Power Distance (PDI) affecting the SEF and SI. Then LTO effect on PU and COM. While User Avoidance (UAI) only affect the SEF, and UAI did not affect the PEOU as originally hypothesized. In general, it can be said that the cultural dimensions are quite important in the acceptance of internet. Findings
should assist organizations to understand the influence of cultural dimensions on internet technology acceptance and can be used as consideration when implementing internet in a
higher learning institution in Indonesia. Finally, suggestions for future research were also provided for practitioners and academicians
