E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact

By Bo Sophia Xiao, Izak Benbasat. MIS Q., 2007

1,152 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/31ad02e222986c09fc7b5e4b8147d25877a8a45b

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Citations in the corpus

Reconstructing the giant: On the importance of rigour in documenting the literature search process (2009, neutral): “…reviews in their particular fields, we herein question whether it is in fact sufficient to state that “key words from our definition of IT business value” (Melville et al. 2004, p. 322) were used or that the search was conducted “by using relevant keywords” (Xiao and Benbasat 2007, p. 140).”
Empirical Analysis of the Impact of Recommender Systems on Sales (2010, background): “the resulting recommendations are similar to word-of-mouth recommendations [5, 49] because they are based on the preferences of like-minded consumers to generate recommendations to help individuals identify items that might be of interest [38].”
We know what you want to buy: a demographic-based system for product recommendation on microblogs (2014, background): “Research has found that product recommendation largely influences consumers’ purchase decisions and is likely to boost sales [23, 26, 14].”
Design of fusion technique-based mining engine for smart business (2015, background): “Most of the cases [36, 37] nowadays pay attentions on the discovery of user preference and further recommend potential products to the specific consumers so as to attract their interests.”
Transforming the Customer Experience through New Technologies (2020, background): “For example, online retailers may use so-called “ recommendation agents ” when searching and selecting products or services online (Xiao & Benbasat, 2007).”
Evaluating recommender systems from the user’s perspective: survey of the state of the art (2012, background): “…the other hand, perceived accuracy can be enhanced by other aspects, such as the level of domain knowledge of individuals (Hu and Pu 2010; Knijnenburg et al. 2012), contexts and interface design (Xiao and Benbasat 2007; Cosley et al. 2003; Chen and Pu 2010), and interface labels (Ochi et al. 2010).”
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (2021, background): “IS research has shown that even IS artifacts with limited agentic 10 capabilities, such as the ability to recommend (e.g., Xiao and Benbasat 2007) or persuade (e.g., Oinas-Kukkonen and Harjumaa 2009; Schuetz and Venkatesh 2020), can influence human behaviors and that social power dynamics are…”
Beyond nudges: Tools of a choice architecture (2012, methodology): “Moreover, we may use technology-based tools such as search engines or product recommendation systems to help us identify attractive choice alternatives that we were not aware of, and to filter out ones that are not of interest to us (Bodapati 2008; Häubl and Murray 2006; Xiao and Benbasat 2007).”
Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “This is consistent with the extant literature on the effect of explanations on trust for virtual AI (see Xiao and Benbasat, 2007 for review).”
An Analysis of Factors Affecting on Online Shopping Behavior of Consumers (2012, methodology): “Although this difficulty can be reduced by using certain software tools such as the online recommendation agent (Häubl and Murray, 2003; Xiao and Benbasat, 2007) and the online negotiation agent (Huang and Sycara, 2002; Huang and Lin, 2007).”
Evaluating Recommender Systems with User Experiments (2015, background): “• Xiao and Benbasat [122] provide a thorough overview and synthesis of 47 empirical user-centric studies on what they call “recommendation agents”.”
Service Innovation in the Digital Age: Key Contributions and Future Directions (2015, background): “• Implications of the layered modular architecture of digital innovation for servitization (Neely 2008; Yoo et al. 2010) Digital Infrastructure and standards: • Standards for information services (Braa et al. 2007; Grisot et al. 2014; Lyytinen and King 2006; Steinfield et al. 2005) • Open standards ”