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- W3124283048 abstract "Many online shops apply several sales support systems, e.g., recom- mender systems, sorting and filtering tools, to support buyers during the shop- ping process. Although, the research highlights the positive effect of such sys- tems, the current study questions its applicability in online shops for products which serve users' needs to be unique like apparel or luxury products. We ana- lyze female users' buying behavior of apparel products in a laboratory setting and find that users with high trendiness undertake in general more search steps. Further, we find that most users rely during their search process on different sorting and filtering as well as on keyword search tools than on personalized and non-personalized recommendations. Further, we find that users with high trendiness did not use top seller lists and wear with it-recommendations. Moreover, the assistance of top seller lists did not lead to final choice of prod- ucts (i.e. zero conversion rates)." @default.
- W3124283048 created "2021-02-01" @default.
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- W3124283048 date "2015-01-01" @default.
- W3124283048 modified "2023-10-02" @default.
- W3124283048 title "On the Design of Sales Support Systems for Online Apparel Stores" @default.
- W3124283048 hasPublicationYear "2015" @default.
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