Inhibitors and Enablers as Dual Factor Concepts in Technology Usage
By Ronald T. Cenfetelli. Journal of the AIS, 2004
428 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/f8dcfcff6bb5c39b45cd33355cd742fba9495394
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
- Izak Benbasat
- Shalini Talwar
- Amandeep Dhir
- Puneet Kaur
- Manish Talwar
- Matthew K. O. Lee
- Christy M. K. Cheung
- Ronald T. Cenfetelli
In Organizational Behavior and Human Resource Management
- Amandeep Dhir
- Shalini Talwar
- Puneet Kaur
- Izak Benbasat
- Manish Talwar
- Ronald T. Cenfetelli
- A. K. M. Najmul Islam
- Anushree Tandon
In Sociology and Political Science
- Shalini Talwar
- Amandeep Dhir
- Izak Benbasat
- Puneet Kaur
- Manish Talwar
- Ronald T. Cenfetelli
- Anushree Tandon
- A. K. M. Najmul Islam
Citations in the corpus
- Consumer's decision to shop online: The moderating role of positive informational social influence (2011, background): “There is a growing interest of negative asymmetry in the field of IS [3].”
- Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory (2020, methodology): “DFT is a well-accepted theory and has been applied in various contexts, including social media platforms (Sullivan and Koh, 2019) and non-adoption of technological innovations (Wolverton and Cenfetelli, 2019).”
- Psychological and behavioral outcomes of social media-induced fear of missing out at the workplace (2021, positive): “Moreover, our findings indicate the need to investigate the concurrent influence of both facilitating and inhibiting stressors on working professionals ’ tendency to engage in FoMO-driven CUS using theoretical frameworks like the Dual-factor theory (Cenfetelli, 2004).”
- Addressing the What and How of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success (2008, background): “A TTF perspective also provides for the interesting possibility that websites may provide too many service functions for a given task, thus leading to confused and overwhelmed customers (Cenfetelli 2004a, b; Zeithaml et al. 2002).”
- “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023, background): “Moreover, most of the TAM-related studies have ignored users’ negative (inhibiting) perceptions in favor of focusing only on their positive (enabling) ones (Dou et al., 2017; Cenfetelli, 2004).”
- Identifying and Testing the Inhibitors of Technology Usage Intentions (2011, background): “The unique effects of inhibitors on usage intentions—above and beyond enablers—arise from a violation of a user’s norms or expectations that, if absent, would otherwise be taken for granted (Cenfetelli 2004).”
- Consumers’ Resistance to Digital Innovations: A Systematic Review and Framework Development (2020, methodology): “It draws upon the theoretical lenses of IRT ( Ram and Sheth, 1989 ) and the dual-factor concept (DFC) ( Cenfetelli, 2004 ) to provide grounding for the propositions.”