Effects of online communication practices on consumer perceptions of performance uncertainty for search and experience goods
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Identifying preference structures may be relatively straightforward for search goods but becomes more challenging for experience and credence goods, where consumers rely on external cues such as sensory experiences to evaluate quality.
“While identifying preference structures may be relatively straightforward for search goods (e.g., selecting a mobile phone contract with the best value for money), it becomes more challenging for experience and credence goods, where consumers rely on external cues such as sensory experiences to evaluate quality (e.g., Weathers et al. 2007).”
From Machine marketing: rethinking the customer in the age of generative AI (2026) · cites this paper as Weathers et al. 2007
Cites
Defining virtual reality: Dimensions determining telepresence
Steuer, J. (1992) · Journal of Communication · doi:10.1111/j.1460-2466.1992.tb00812.x · Cited by 5,459 · see citing works
Consumer Skepticism of Advertising Claims: Testing Hypotheses from Economics of Information
Ford, G. T., Smith, D. B., & Swasy, J. L. (1990) · Journal of Consumer Research · doi:10.1086/209228 · Cited by 481 · see citing works
Prepurchase Attribute Verifiability, Source Credibility, and Persuasion
Jain, S. P., & Posavac, S. S. (2001) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp1103_03 · Cited by 154 · see citing works
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Marketing strategies, perceived risks, and consumer trust in online buying behaviour
Pappas, N. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.11.007 · Cited by 461 · see citing works
Product fit uncertainty in online markets: nature, effects, and antecedents
Hong, Y. (., & Pavlou, P. A. (2014) · Information Systems Research · doi:10.1287/isre.2014.0520 · Cited by 453 · see citing works
Aesthetics and the online shopping environment: Understanding consumer responses.
Wang, Y. J., Minor, M. S., & Wei, J. (2011) · Journal of Retailing · doi:10.1016/j.jretai.2010.09.002 · Cited by 390 · see citing works
Curbing shopping cart abandonment in C2C markets — an uncertainty reduction approach
Tang, H., & Lin, X. (2019) · Electronic Markets · doi:10.1007/s12525-018-0313-6 · Cited by 56 · see citing works
The Connection Between Happiness and Service Businesses: A Preliminary Study
Chiu, H.-C., Hsieh, Y.-C., Yeh, H.-J., Kuo, C.-L., Lee, M., & Yu, D.-J. (2011) · Journal of Happiness Studies · doi:10.1007/s10902-010-9230-x · Cited by 11 · see citing works
Machine marketing: rethinking the customer in the age of generative AI
Sarstedt, M., Adler, S. J., & Imschloss, M. (2026) · Journal of Marketing Analytics · doi:10.1057/s41270-026-00521-y · Cited by 3 · see citing works
- Authors
- Weathers, D., Sharma, S., & Wood, S. L.
- Affiliations
- Louisiana State University (US)
- University of South Carolina (US)
- Corresponding author
- Weathers, Danny
- Venue
- Journal of Retailing
- Publisher
- Elsevier BV
- Published
- 2007-12
- Volume
- 83
- Issue
- 4
- Pages
- 393-401
- ISSN
- 0022-4359 (ISSN-L)
- OpenAlex
- W1973788569
- Cited by
- 439
- References
- 3
- Citations by year
- 2026: 23 · 2025: 21 · 2024: 20 · 2023: 24 · 2022: 36 · 2021: 44 · 2020: 43 · 2019: 19 · 2018: 31 · 2017: 21 · 2016: 20 · 2015: 27 · 2014: 26 · 2013: 18 · 2012: 23
- FWCI
- 41.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Retailing (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- performance uncertainty, consumer risk, search goods, experience goods, vividness, multichannel retailing, e-commerce, consumer perception
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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