Using a modified technology acceptance model in hospitals
By Vassilios P. Aggelidis, Prodromos D. Chatzoglou. Int. J. Medical Informatics, 2009
611 citations recorded by the source corpus.
Subfields: Education, Information Systems and Management, Social Psychology
View Paper: https://www.semanticscholar.org/paper/722787e02680ff277276465f5497b7f9fe183be4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
In Information Systems and Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Sheshadri Chatterjee
- Arpan Kumar Kar
- Michael D. Williams
- Marc Clement
- Anand Jeyaraj
In Social Psychology
- Nripendra P. Rana
- Banita Lal
- Yogesh Kumar Dwivedi
- Marc Clement
- Michael D. Williams
- Arpan Kumar Kar
- Sheshadri Chatterjee
- Marijn Janssen
Citations in the corpus
- An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, background): “A number of empirical studies (e.g. Aboelmaged, 2010; Aggelidis & Chatzoglou, 2009; Egea & González, 2011; Kim et al., 2010) have advocated the use of attitude as a mediating variable, along with perceived usefulness and perceived ease of use, in the TAM.”
- Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “A number of empirical studies (e.g., Aboelmaged 2010; Aggelidis and Chatzoglou 2009; Kim et al. 2010) have advocated the use”
- The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “…(1) Shin (2010) Telehospice (1) Whitten et al. (2009) Remote Electronic Voting Systems (1) Yao and Murphy (2007) Hospital Information System (1) Aggelidis and Chatzoglou (2009) Speech Recognition System (1) Alapetite et al. (2009) Clinical Decision Support System (1) Chang et al. (2007) Online…”
- Citizens’ adoption of an electronic government system: towards a unified view (2015, background): “A number of empirical studies (e.g., Aboelmaged 2010; Aggelidis and Chatzoglou 2009; Egea and González 2011; Kim et al. 2010) have advocated the use of attitude as a mediating variable, mediating the effects of perceived usefulness and perceived ease of use in TAM.”
- Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM) (2020, background): “For successful implementation and utilization of technology, users’ willingness is a crucial factor [25].”
- Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, background): “Besides, impact of PEU on SMM (H1) signifies that it includes impacts of performance, effectiveness, risks and trust on SMM simultaneously (Henderson & Divett, 2003; Aggelidis & Chatzoglou, 2009) because PEU includes these important beliefs.”
- Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT (2015, neutral): “SEM analyses are sensitive to missing data when estimating parameters using the maximum likelihood estimation method [60] Please cite this article in press as: É. Maillet, et al., Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in ”
- THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE (2009, neutral): “studies of TAM were published [150–155], as were several qualitative/descriptive”
- Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success (2011, background): “…the government more result-oriented, efficient and citizen-centered; and enabling citizens and businesses to access government services and information as efficiently and as effectively as possible through the use of internet and other channels of communication (Aggelidid & Chatzoglou, 2008).”