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Product searching with shopping bots

Bibliographic Data

ID12420401
AuthorsJennifer Rowley (0000-0003-3437-6914, Edge Hill University, corresponding author)
Year2000
Volume10
Issue3
Pages203-214
Publication date2000-08-01
Open AccessYes
TypeARTICLE
VenueInternet Research (JOURNAL)
Journal identifiersISSN: 1066-2243 • E-ISSN: 2054-5657
PublisherEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/10662240010331957
OpenAlexW1996806492
LanguageEN
Citations received6
References cited9

Shopping bots are an important new innovation which support consumers with the product search and identification stage in e‐shopping. This paper reviews the search facilities offered by shopping bots. A number of shopping bots that include books in their product range, have been visited with a view to analysing their search facilities. Using trial searches for three different best‐selling books, title, author, and keyword search facilities available in a number of bots were further investigated. Finally the output from the search in terms of the number of items, and suppliers identified, and the price, was analysed. The effectiveness of bots does not only depend upon search facilities but also depends upon product coverage, and other added value features such as publisher and consumer reviews. Consumer search behaviour, in general, and the way in which consumers will use shopping bots are fruitful areas for further research

Advertising · Business · Economics · Identification (biology · Information retrieval · Keyword search · Order (exchange · Product (mathematics · Search cost · Value (mathematics · World Wide Web · Auction Theory and Applications · Computer Science · Consumer Market Behavior and Pricing · Mathematics · Mobile Crowdsensing and Crowdsourcing · Marketing

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Citations per year0.25
Citation span2002 - 2021 (20)
Highly citedNo

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