The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Shopping and Word-of-Mouth Intentions on Social Media
Open accessAbstract
Social Media has been gaining popularity worldwide over the last years at an increasingly growing rate. Motivated by this fact, firms are piloting different approaches of promoting their products and services to consumers in order to capitalize on the prominence of such websites. However, there is much debate in the academic and business community about the potential of social media as a platform for marketing and commerce, and the viable strategies that could constitute them as a possible solution for future ventures. Research to date has been growing, with only a limited number of studies exploring the business potential of social media. The aim of this research is to elucidate how specific aspects of social media websites foster user intention to browse products, and the effect that this has in shaping purchasing and information sharing intentions. Utilitarian and Hedonic motivation theory provides the theoretical background on which we segregate the factors that contribute to product browsing on social media websites. Partial Least Squares (PLS) analysis is performed on data obtained from 165 social media users to test our research model. Outcomes indicate that specific aspects trigger Utilitarian (Convenience and Product Selection) and Hedonic (Idea and Adventure) motivations which in sequence impact user intention to browse products on such mediums. Finally, browsing intention is linked in a significantly positive manner with purchasing and word-of-mouth intention.
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
“In addition, people tend to participate in e-commerce when they have utility requirements from these sites and / or they can be socially integrated in these places [36-38].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [37]
Citations
Cites
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Hedonic Consumption: Emerging Concepts, Methods and Propositions
Hirschman, E. C., & Holbrook, M. B. (1982) · Journal of Marketing · doi:10.1177/002224298204600314 · Cited by 5,616
Social media: The new hybrid element of the promotion mix
Mangold, W. G., & Faulds, D. J. (2009) · Business Horizons · doi:10.1016/j.bushor.2009.03.002 · Cited by 4,111 · cited 1×
“Similar taxonomy approaches have been performed based on orientations related to, behavior during the shopping process [66], product usage [49], and attributes of the selected retailer [8], [49].”
MethodUser Acceptance of Hedonic Information Systems1
van der Heijden, H. (2004) · MIS Quarterly · doi:10.2307/25148660 · Cited by 3,850
Hedonic and utilitarian motivations for online retail shopping behavior
Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001) · Journal of Retailing · doi:10.1016/s0022-4359(01)00056-2 · Cited by 3,219
Pavlou, P. A., & Fygenson, M. (2006) · MIS Quarterly · doi:10.2307/25148720 · Cited by 2,685
Arnold, M. J., & Reynolds, K. E. (2003) · Journal of Retailing · doi:10.1016/s0022-4359(03)00007-1 · Cited by 2,373
Cited by
Sorted by citations
Consumer behavior in social commerce: A literature review
Zhang, K. Z. K., & Benyoucef, M. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.04.001 · Cited by 631
Anderson, K. C., Knight, D. K., Pookulangara, S., & Josiam, B. M. (2014) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.05.007 · Cited by 280
Customer engagement behaviour on social commerce platforms: An empirical study
Busalim, A. H., Ghabban, F. M., & Hussin, A. R. C. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101437 · Cited by 284
Luo, B., Ying, S., Shen, J., & Xia, L. (2020) · Journal of Consumer Behaviour · doi:10.1002/cb.1818 · Cited by 259
The Impact of Anthropomorphism on Consumers’ Purchase Decision in Chatbot Commerce
Han, M. C. (2021) · Journal of Internet Commerce · doi:10.1080/15332861.2020.1863022 · Cited by 220
Metadata
- Authors
- Mikalef, P., Giannakos, M., & Pateli, A.
- Affiliations
- Ionian University (GR)
- Norwegian University of Science and Technology (NO)
- Venue
- Journal of theoretical and applied electronic commerce research
- Publisher
- MDPI AG
- Published
- 2013
- Volume
- 8
- Issue
- 1
- Pages
- 5-6
- ISSN
- 0718-1876 (ISSN-L)
- OpenAlex
- W2042424695
- Cited by
- 265
- References
- 67
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 14 · 2023: 18 · 2022: 25 · 2021: 29 · 2020: 29 · 2019: 35 · 2018: 32 · 2017: 35 · 2016: 10 · 2015: 8 · 2014: 9 · 2013: 2
- FWCI
- 29.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Journal of theoretical and applied electronic commerce research (publishedVersion, cc-by-nc)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Americanae (AECID Library) (submittedVersion, other-oa)
- Redalyc (Universidad Autónoma del Estado de México) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- social media, word-of-mouth intention, purchase intention, utilitarian motivation, hedonic motivation, social media marketing, social commerce, convenience, product selection, adventure seeking
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
