The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Moderating effects of time pressure on the relationship between perceived value and purchase intention in social E-commerce sales promotion: Considering the impact of product involvement
Abstract
Abstract How does customer perceived value influence purchase intention in online flash sales on social e-commerce platforms? This study investigates the role of time pressure and product involvement in the relationship between perceived value and purchase intention. Drawing on survey data from wjx.com in China, we found that perceived value is positively related to purchase intention, whereas time pressure negatively moderates the effect of emotional/social value on purchase intention. The three-way interaction among time pressure, perceived functional/emotional/social value, and product involvement was also statistically significant. We discuss the theoretical and practical implications of these results.
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Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
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
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,654
Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence
Zeithaml, V. A. (1988) · Journal of Marketing · doi:10.1177/002224298805200302 · Cited by 18,292
Consumer Perceived Value: The Development of a Multiple Item Scale
Sweeney, J. C., & Soutar, G. N. (2001) · Journal of Retailing · doi:10.1016/s0022-4359(01)00041-0 · Cited by 6,643
Structural Equation Modeling and Regression: Guidelines for Research Practice
Gefen, D., Straub, D., & Boudreau, M.-C. (2000) · Communications of the Association for Information Systems · doi:10.17705/1cais.00407 · Cited by 6,416
Measuring the involvement construct
Zaichkowsky, J. L. (1985) · Journal of Consumer Research · doi:10.1086/208520 · Cited by 6,013
Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991) · Journal of Marketing Research · doi:10.1177/002224379102800305 · Cited by 5,853
Harman, H. H. (1960) · Cited by 5,148
Cited by
Lv, X., Zhang, R., Su, Y., & Yang, Y. (2022) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2022.2052227 · Cited by 180
Hewei, T., & Youngsook, L. (2022) · Entertainment Computing · doi:10.1016/j.entcom.2021.100474 · Cited by 169
How does anthropomorphism improve human-AI interaction satisfaction: a dual-path model
Xie, Y., Zhu, K., Zhou, P., & Liang, C. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107878 · Cited by 150
Sun, C., Fang, Y., Kong, M., Chen, X., & Liu, Y. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102828 · Cited by 148
Zhou, S., Li, T., Yang, S., & Chen, Y. (2022) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2022.101126 · Cited by 89
Metadata
- Authors
- Peng, L., Zhang, W., Wang, X., & Liang, S.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 56
- Issue
- 2
- Pages
- 317-328
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2904416484
- Cited by
- 325
- References
- 78
- FWCI
- 25.43
- Type
- journal article
- Language
- en
- Open access
- closed
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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.