Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration
By L. M. Bobbitt, P. A. Dabholkar. 2001
441 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/3145fb7a66664bbe7718dc7e8d7d7af7170d6561
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Michael D. Williams
- Marc Clement
- Anand Jeyaraj
- Kuttimani Tamilmani
- T. Falk
In Organizational Behavior and Human Resource Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Michael D. Williams
- Ali Abdallah Alalwan
- T. Falk
- Bert Weijters
- Niels Schillewaert
- J. Valacich
In Sociology and Political Science
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Michael D. Williams
- Marc Clement
- L. Wessels
- Judy Drennan
- Bert Weijters
Citations in the corpus
- Determinants and Outcomes of Customers' Use of Self-Service Technology in a Retail Setting (2007, background): “Consequently, retailers are increasingly considering innovative options for delivering service to their customers (Bobbitt and Dabholkar 2001; Dabholkar, Bobbitt, and Lee 2003; Quinn 1996).”
- The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective (2010, background): “Prior research both theorizes that perceived risk affects an individual’s attitude toward using a technology (Bobbitt & Dabholkar, 2001) as well as empirically demonstrates the importance of understanding how perceptions of risk can negatively influence attitudes toward using a Web site to make…”
- An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, neutral): “The role of attitude in explaining technology acceptance is widely acknowledged in prior literature (e.g. Bobbitt & Dabholkar, 2001; Kim et al., 2009; Taylor & Todd, 1995b; Yang & Yoo, 2004).”
- An investigation of consumer acceptance of M-Banking in Australia (2010, background): “Alternatively, a category-based effect, where consumers make judgments about new situations, products, or services based on related past attitudes and experiences (Bobbitt and Dabholkar, 2001), may have nullified the effect of PEOU on M-banking usage intentions.”
- Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective (2013, background): “Indeed, applications of the theory of planned behaviour in IS cover many research areas such as online grocery buying [32]; expert decision support systemuse [79]; electronic service acceptance [35]; IT adoption [49,61,76]; IT acceptance [21,78]; and IT use [16,52].”
- Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, result): “The role of attitude in explaining technology acceptance has been acknowledged in prior literature (e.g., Bobbitt and Dabholkar 2001; Kim et al. 2009; Taylor and Todd 1995b; Yang and Yoo 2004).”
- Barriers and benefits in the adoption of e‐government (2004, positive): “In addition with a growing recognition of the importance of researching attitude with respect to Internet adoption the work of Bobbitt and Dabholkar (2001) has attempted to integrate the various attitude-based theories (TAR, Theory of Planned Behaviour, Theory of Trying) with external factors (such…”
- Citizens’ adoption of an electronic government system: towards a unified view (2015, result): “The role of attitude in explaining technology acceptance is widely acknowledged in prior literature (e.g., Bobbitt and Dabholkar 2001; Kim et al. 2009; Taylor and Todd 1995b; Yang and Yoo 2004).”
- Exploring How Intangibility Affects Perceived Risk (2004, background): “Bobbitt and Dabholkar (2001) proposed that some types of risk, such as financial, psychological, and performance risks are more applicable to shopping on the Internet than other nontraditional or traditional shopping methods.”