The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents
By Sherrie Y. X. Komiak, Izak Benbasat. MIS Q., 2006
1,706 citations recorded by the source corpus.
Subfields: Information Systems, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/c1e0853e9051459dc37b7fd2a04fc77dd2e4674c
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
- Bart P. Knijnenburg
- Jingjing Zhang
- Gediminas Adomavicius
- Wen-Shan Lin
- Martijn C. Willemsen
- Weiquan Wang
- Zeno Gantner
- Donald R. Lehmann
In Information Systems and Management
- Milena M. Head
- Dianne Cyr
- Izak Benbasat
- Tao Zhou
- D. Harrison McKnight
- Alex Ivanov
- J. Valacich
- Weiquan Wang
In Sociology and Political Science
- Izak Benbasat
- Milena M. Head
- Dianne Cyr
- D. Harrison McKnight
- Alex Ivanov
- Weiquan Wang
- Tao Zhou
- J. Valacich
Citations in the corpus
- The influence of perceived credibility on purchase intention via competence and authenticity (2020, background): “Compared with independent units, chain organizations enjoy widespread recognition and familiarity (Carroll and Torfason, 2011), which lead to consumers’ trust towards chain organizations (Komiak and Benbasat, 2006).”
- Tourists’ Attitudes toward Proactive Smartphone Systems (2016, background): “More importantly, the task was targeted to assess tourists’ inclinations to follow push recommendations and whether the agency factors can be associated with anxiety and trust and, consequently, with this inclination (Wang and Benbasat 2005; Komiak and Benbasat 2006).”
- Maximizing stability of recommendation algorithms: A collective inference approach (2011, methodology): “This research was supported in part by the National Science Foundation grant IIS-0546443.”
- What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences (2014, background): “To closely match customers’ idiosyncratic preferences and needs, relevant and better-customized recommendations are generated [36].”
- Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce (2016, background): “Familiarity can reduce uncertainty (Hinds, Carley, Krackhardt, & Wholey, 2000), increase cognitive trust (Komiak & Benbasat, 2006), and promote individual social interactions.”
- Recommendation Agents for Electronic Commerce: Effects of Explanation Facilities on Trusting Beliefs (2007, methodology): “Based on Komiak and Benbasat [46] and McKnight et al.”
- Past Purchase and Intention to Purchase in E-Commerce: the Mediation of Social Presence and Trust (2011, background): “Academia and industry alike have recognized trust as a central factor enabling e-commerce (Gefen and Straub, 2003; Komiak and Benbasat, 2006).”