Trust In and Adoption of Online Recommendation Agents

By Izak Benbasat, Weiquan Wang. Journal of the AIS, 2005

957 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/477fe5f7d188e6ca42e0f489c3113f1d3f97950c

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Citations in the corpus

Evaluating Anthropomorphic Product Recommendation Agents: A Social Relationship Perspective to Designing Information Systems (2009, methodology): “to avoid potential biases in their evaluations and to make interactions with the PRa more necessary to complete the task, only individuals who did not own or had not purchased a digital camera before, as well as those who had owned or purchased a digital camera but considered themselves to have low ”
Avatars, People, and Virtual Worlds: Foundations for Research in Metaverses (2009, positive): “For example, users of software agents perceive human characteristics in relation to the agents, such as benevolence and integrity (Wang and Benbasat, 2005).”
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture (2008, methodology): “In online contexts where other cues are available, such as peer endorsement [49] or recommendation agents [46, 86], institution-based trust may be less salient.”
The effects of transparency on trust in and acceptance of a content-based art recommender (2008, background): “Authors such as Wang and Benbasat (2005) and Xiao and Benbasat (2003) studied trust in online e-commerce recommender settings.”
On the stability of recommendation algorithms (2010, background): “Previous studies found that user’s trust and perception of personalization competence are the keys that lead to user’s acceptance of recommendations [10, 18, 19, 21].”
A Research Agenda for Trust in Online Environments (2008, background): “Nonetheless, recently, several papers have been published that have demonstrated that people consider recommendation agents [2, 30, 53] and other technologies [51] to be objects of trust, and that these trust perceptions can influence one’s adoption of that artifact [52].”
E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact (2007, background): “Therefore, users may be concerned about the integrity and benevolence of the RAs, beliefs that have been studied in association with trust in IT adoption models (Wang and Benbasat 2005).”
Technology, Humanness, and Trust: Rethinking Trust in Technology (2015, methodology): “For example, Wang and Benbasat (2005) studied trust in online recommendation agents (RAs) and found that these human-like trusting beliefs significantly influenced individuals’ perceived usefulness and intention to use RAs.”