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Bringing safety analytics to the online shopper

Evaluating designs for augmenting point-of-sale interfaces with safety information

Bibliographic Data

ID12420751
AuthorsRichard Gru (0000-0001-7197-6519, Radford University, corresponding author), David M Goldberg (0000-0003-2617-5143, San Diego State University), Nohel Zaman (0000-0002-4893-0042, University of Alabama at Birmingham), Alan S Abrahams (0000-0002-4884-3192, Virginia Tech)
Year2023
Volume34
Issue4
Pages1313-1345
Publication date2023-08-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternet Research (JOURNAL)
Journal identifiersISSN: 1066-2243 • E-ISSN: 2054-5657
PublisherEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/intr-06-2022-0395
OpenAlexW4385703017
LanguageEN
Citations received1
References cited31

Purpose The widespread adoption of online purchasing has prompted increasing concerns about product safety, and regulators are beginning to hold e-commerce sites accountable for dangerous product defects. For online consumers, understanding the many inherent safety risks among the extensive array of products they browse is a formidable task. The authors attempt to address this problem via a client-side software artifact that warns shoppers about potential product safety hazards at the point of sale. Design/methodology/approach In this study, the authors built four candidate designs and assessed their effectiveness by means of a large randomized controlled experiment ( n = 466). The authors define effectiveness as significant changes in dependent variables associated with health behaviors and technology adoption. Findings The authors find that all of the designs score high on adoption likelihood, that designs incorporating highlighting and scoring are better at increasing safety knowledge and that simpler designs are better at enhancing safety awareness. Originality/value These findings will inform the design of safety information dissemination systems and open new areas of safety awareness enhancement research. More generally, the authors introduce a novel method of testing text visualization variations and their impact on behavioral decisions

Analytics · Artifact (error · Business · Data science · Originality · Point (geometry · Product (mathematics · Purchasing · Risk analysis (engineering · Task (project management · Behavioral Health and Interventions · Computer Science · Engineering · Information and Cyber Security · Psychology · Safety Warnings and Signage · Marketing

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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