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Beauty and the Beastly Search: Finding Luxury in a Product Hierarchy
- Source :
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64:1520-1524
- Publication Year :
- 2020
- Publisher :
- SAGE Publications, 2020.
-
Abstract
- There has been considerable research on design of menu hierarchies in general spanning several decades. However there is much less research on menus relating to specific types of product in online retail settings. Thus there is little guidance in the research literature on specific issues such as how to place luxury items within a beauty product hierarchy, which is the focus of this paper. We report on a study that addressed this problem for an ecommerce site associated with a large Canadian retailer. In a within subjects design, participants searched for four beauty-related products (two of which were classed as “luxury” items) either in a hierarchy where luxury items were intermingled with other products addressing the same need (the “Combined” condition), or in a hierarchy where there was a split between luxury and non-luxury products at the top level (the “Split” condition). Segregating luxury products in the product hierarchy was found to lead to significantly slower, and more lengthy (in terms of links traversed), searches. Searches were found to be more efficient in the “Combined” condition than the “Split” Condition both when searching for luxury items, and when searching for non-luxury items. This work has implications for existing brick-and-mortar retailers moving into or expanding e-commerce portals. Our results suggest that the separation of luxury from non-luxury items in bricks-and-mortar stores does not transfer well to online product hierarchies, where similar segregation leads to poorer digital navigation performance.
- Subjects :
- Hierarchy
Computer science
media_common.quotation_subject
05 social sciences
Advertising
GeneralLiterature_MISCELLANEOUS
Medical Terminology
Beauty
0501 psychology and cognitive sciences
Product (category theory)
0509 other social sciences
050904 information & library sciences
050107 human factors
Medical Assisting and Transcription
media_common
Subjects
Details
- ISSN :
- 10711813 and 21695067
- Volume :
- 64
- Database :
- OpenAIRE
- Journal :
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- Accession number :
- edsair.doi...........2a76c059f955359f5e7b50cd78ba339d
- Full Text :
- https://doi.org/10.1177/1071181320641364