Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model
By Gunnvald B. Svendsen, Jan-Are Kolset Johnsen, Live Almås-Sørensen, Joar Vittersø. Behavior and Information Technology, 2013
391 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/5729f3f0cfed7a958cfa4d60a16f145c766308e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Information Systems and Management
- Donghee Don Shin
- Paul Rodway
- Astrid Schepman
- Lingling Gao
- Xuesong Bai
- Neena Sinha
- Nidhi Singh
- Amandeep Dhir
In Sociology and Political Science
- Donghee Don Shin
- Paul Rodway
- Astrid Schepman
- Lingling Gao
- Xuesong Bai
- Neena Sinha
- Nidhi Singh
- Amandeep Dhir
Citations in the corpus
- User experience in social commerce: in friends we trust (2013, background): “In addition, for simplicity’s sake, this study excluded demographic factors in s-commerce acceptance (Svendsen et al. 2011).”
- A unified perspective on the factors influencing consumer acceptance of internet of things technology (2014, background): “Researchers have proposed modifications in order to improve TAM’s predictive capability by adding more antecedent factors deemed to be of utmost importance regarding new technologies (Svendsen et al., 2013).”
- The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022, background): “As discussed, this measure has been found to correlate with some measures related to technology evaluations in the past (Kortum & Oswald, 2018; Qu et al., 2021; Svendsen et al. 2013), but not always consistently (Barnett et al.”
- The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022, background): “…to experience may increase the perceived practicality and ease of use of technology, including smartphones, personal computers, AI-powered applications, and internet usage (Hawi & Samaha, 2019; McElroy et al., 2007; Na et al., 2022; € Ozbek et al., 2014; Svendsen et al., 2013; Zhou & Lu, 2011).”