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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Determinants of Perceived Web Site Interactivity

Song, Ji Hee, Zinkhan, George M.·2008·Journal of Marketing

Abstract

Interactivity is a key feature of Web sites. This article identifies the determinants that enhance user perceptions of interactivity in a communication scenario in which consumers send instant messages to an e-store. Two conceptualizations of interactivity—telepresence theory and interactivity theory—predict that different antecedents (e.g., the number of clicks, response time, message type) are important. The results of Experiment 1 indicate that message type (i.e., how personal a particular message is) is the strongest predictor of interactivity perceptions. Furthermore, the findings suggest that the effects of message type on perceived interactivity and Web site effectiveness are greater when consumers are complaining than when they are inquiring about services. The results of Experiment 2 show that as the level of message personalization increases, interactivity perceptions and site effectiveness are enhanced (linear relationship). The authors discuss the implications of the findings for theory and practice and provide directions for measuring and manipulating interactivity in further research.

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Metadata

Authors
Song, J. H., & Zinkhan, G. M.
Venue
Journal of Marketing
Published
2008-03
Volume
72
Issue
2
Pages
99-113
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2104884828
Cited by
662
References
5
FWCI
72.02
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: Determinants of Perceived Web Site Interactivity. https://app.cochat.ai/papers/10.1509/jmkg.72.2.99
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Song, J. H., & Zinkhan, G. M. (2008). Determinants of Perceived Web Site Interactivity. Journal of Marketing. https://doi.org/10.1509/jmkg.72.2.99

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.