The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Online word of mouth and consumer purchase intentions
Abstract
Previous researchers have explained how offline word of mouth (WOM) influences consumer behaviour. Increasingly, however, consumers are turning to online WOM, especially online forums. In an online context, the research discussed in this article replicates the approaches taken to studying offline WOM. Grounded in social comparison theory, social network analysis and the theory of reasoned action, a mall intercept survey of consumers in Hong Kong showed that both similarity between a user’s interests and a forum’s topic and user attitudes towards the forum strongly predict purchase intentions as well as having an indirect effect through helping determine the forum’s persuasiveness. Theoretical implications are discussed as well as practical implications for marketers and recommendations for further research.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Because of these merits, eWoM is seen as a reliable source of information [33] and, therefore, it has more influence than the traditional WoM [39].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [39]
Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
The psychology of interpersonal relations
Heider, F. (1958) · American Sociological Review · doi:10.2307/2089062 · Cited by 17,189
Book Review: The Psychology of Attitudes
Chakravarti, D., Eagly, A. H., & Chaiken, S. (1997) · Journal of Marketing Research · doi:10.2307/3151869 · Cited by 7,173
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations
Hoffman, D. L., & Novak, T. P. (1996) · Journal of Marketing · doi:10.2307/1251841 · Cited by 5,740
(1972) · Behavior Therapy · doi:10.1016/s0005-7894(72)80121-7 · Cited by 4,366
Research works printed but not linked: 4
- Fishbein, M. & Ajzen, I. (1975) Belief, Attitude, Intention and Behaviour. Reading MA: Addison-Wesley.
- Hass, R. (1981) Effects of source characteristics on cognitive responses and persuasion, in R.E. Petty, T.M. Ostrom & T.C. Brock (eds), Cognitive Responses in Persuasion . Hillsdale, NJ: Lawrence Erlbaum Associates, pp. 141–172.
- Katz, E. & Lazarsfeld, P.f. (1955) Personal influence: the part played by people in theflow of mass communication . Glencoe, Il: free Press.
- Tamanin, T., Ancona, C. & Rodrigues-Netto, N. (2002) Translation, Validation and Cross-Cultural Adaptation into Portuguese Language of the ‘King’s Health Questionnaire. Heidelberg: International Continence Society Annual Conference.
Cited by
Sorted by citations
Erkan, I., & Evans, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.003 · Cited by 1,188
Ludwig, S., de Ruyter, K., Friedman, M., Brüggen, E. C., Wetzels, M. G. M., & Pfann, G. A. (2012) · Journal of Marketing · doi:10.1509/jm.11.0560 · Cited by 759
Rosario, A. B., Valck, K. D., & Sotgiu, F. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00706-1 · Cited by 590
The influence of brand trust and brand identification on brand evangelism
Becerra, E. P., & Badrinarayanan, V. A. (2013) · Journal of Product & Brand Management · doi:10.1108/jpbm-09-2013-0394 · Cited by 403
Common Method Variance in Advertising Research: When to Be Concerned and How to Control for It
Malhotra, N. K., Schaller, T. K., & Patil, A. (2016) · Journal of Advertising · doi:10.1080/00913367.2016.1252287 · Cited by 336
Metadata
- Authors
- Prendergast, G., Ko, D., & Siu Yin, V. Y.
- Affiliations
- Hong Kong Baptist University (HK)
- Corresponding author
- Prendergast, Gerard
- ORCID
- Prendergast, Gerard
- Venue
- International Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 2010-01
- Volume
- 29
- Issue
- 5
- Pages
- 687-708
- ISSN
- 0265-0487 (ISSN-L)
- 1759-3948
- OpenAlex
- W2053058317
- Cited by
- 309
- References
- 53
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 26 · 2023: 32 · 2022: 28 · 2021: 31 · 2020: 25 · 2019: 26 · 2018: 30 · 2017: 14 · 2016: 18 · 2015: 13 · 2014: 16 · 2013: 13 · 2012: 12
- FWCI
- 30.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Advertising (publishedVersion)
- HKBU Institutional Repository (Hong Kong Baptist University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- electronic word of mouth, purchase intention, online forums, social comparison theory, social network analysis, theory of reasoned action, user attitudes, topic similarity, consumer behavior, Hong Kong consumers
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
