Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model

YesBased on a critical review of the Unified Theory of Acceptance and Use of Technology (UTAUT), this study first formalized an alternative theoretical model for explaining the acceptance and use of information system (IS) and information technology (IT) innovations. The revised theoretical model was then empirically examined using a combination of meta-analysis and structural equation modelling (MASEM) techniques. The meta-analysis was based on 1600 observations on 21 relationships coded from 162 prior studies on IS/IT acceptance and use. The SEM analysis showed that attitude: was central to behavioural intentions and usage behaviours, partially mediated the effects of exogenous constructs on behavioural intentions, and had a direct influence on usage behaviours. A number of implications for theory and practice are derived based on the findings

The Influence of Public Service Experience on Adopting Digital Government Innovations in Ethiopia

Part 5: Diffusion of Information Technology and Systems (Conference Theme)International audienceThis research explored the moderating effect of public service experience on the adoption of digital government innovations in Ethiopia. The results from the structural equation modeling (SEM) reveal that public service experience positively moderates the relationship between effort expectancy and behavioral intention to adopt digital government innovations. Unlike previous studies which found that experience positively moderates the relationship between effort expectancy and behavioral intention of less experienced ICT users, this study finds that the longer the time spent in the public service, the higher the perception of government employees regarding the ease of use (effort expectancy) of the digital innovation. The findings might be attributable to the lack of training for government staff. The paper makes recommendations for IS research, government policy and practice in similar low-income countries

The determinants of research performance in European universities. A large scale multilevel analysis

The paper examines the research performance of European universities in a disaggregated way, using a large array of indicators from Scopus publications, including indicators of volume (number of articles; number of citations) and indicators of quality (percentage of publications in top 10% and top 25% SNIP journals; percentage of citations from top 10% and top 25% journals). These indicators are considered dependent variables in a multi-level estimation framework, in which research performance in a scientific area depends on variables at the level of university and at the level of the external regional environment. The area examined is Medicine, for the 2007–2010 period. The paper exploits for the first time the integration of publication data with the census of European universities (ETER). A large number of hypotheses are tested and discussed