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How do recommender systems affect sales diversity? : a cross-category investigation via randomized field experiment
Lee, Dokyun; Hosanagar, Kartik - In: Information systems research : ISR 30 (2019) 1, pp. 239-259
Persistent link: https://www.econbiz.de/10012038222
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Consumer acquisition for recommender systems : a theoretical framework and empirical evaluations
Bi, Xuan; Yang, Mochen; Adomavicius, Gediminas - In: Information systems research : ISR 35 (2024) 1, pp. 339-362
Persistent link: https://www.econbiz.de/10014530464
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In CARSs we trust : how context-aware recommendations affect customers’ trust and other business performance measures of recommender systems
Panniello, Umberto; Gorgoglione, Michele; Tuzhilin, … - In: Information systems research : ISR 27 (2016) 1, pp. 182-196
Persistent link: https://www.econbiz.de/10011460186
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Effects of online recommendations on consumers' willingness to pay
Adomavicius, Gediminas; Bockstedt, Jesse C.; Curley, … - In: Information systems research : ISR 29 (2018) 1, pp. 84-102
Persistent link: https://www.econbiz.de/10011866151
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Do recommender systems manipulate consumer preferences? : a study of anchoring effects
Adomavicius, Gediminas; Bockstedt, Jesse C.; Curley, … - In: Information systems research : ISR 24 (2013) 4, pp. 956-975
Persistent link: https://www.econbiz.de/10010228985
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How do recommender systems lead to consumer purchases? : a causal mediation analysis of a field experiment
Li, Xitong; Grahl, Jörn; Hinz, Oliver - In: Information systems research : ISR 33 (2022) 2, pp. 620-637
Persistent link: https://www.econbiz.de/10013363086
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The "most popular news" recommender : count amplification and manipulation resistance
Prawesh, Shankar; Padmanabhan, Balaji - In: Information systems research : ISR 25 (2014) 3, pp. 569-589
Persistent link: https://www.econbiz.de/10010469109
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Know thy context : parsing contextual information from user reviews for recommendation purposes
Bauman, Konstantin; Tuzhilin, Alexander - In: Information systems research : ISR 33 (2022) 1, pp. 179-202
Persistent link: https://www.econbiz.de/10013188315
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Designing warning messages for detecting biased online product recommendations : an empirical investigation
Xiao, Bo; Benbasat, Izak - In: Information systems research : ISR 26 (2015) 4, pp. 793-811
Persistent link: https://www.econbiz.de/10011420837
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The decoy effect and recommendation systems
Mousavi, Nasim; Adamopoulos, Panagiotis; Bockstedt, Jesse - In: Information systems research : ISR 34 (2023) 4, pp. 1533-1553
Persistent link: https://www.econbiz.de/10014487335