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    Examining a technology acceptance model of intention to use internet by a academics within Indonesia higher learning institution

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    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

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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