The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The impact of “e-atmospherics” on physical stores
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Citations
Cites
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Reconsidering Baron and Kenny: myths and truths about mediation analysis
Zhao, X., Lynch, J. G., & Chen, Q. (2010) · Journal of Consumer Research · doi:10.1086/651257 · Cited by 12,583
Servicescapes: The Impact of Physical Surroundings on Customers and Employees
Bitner, M. J. (1992) · Journal of Marketing · doi:10.2307/1252042 · Cited by 7,271
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
A description of the affective quality attributed to environments.
Russell, J. A., & Pratt, G. (1980) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.38.2.311 · Cited by 1,288
Can a Retail Web Site Be Social?
Wang, L. C., Baker, J., Wagner, J. A., & Wakefield, K. (2007) · Journal of Marketing · doi:10.1509/jmkg.71.3.143 · Cited by 672
Magni, M., Susan Taylor, M., & Venkatesh, V. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.03.004 · Cited by 173
Cited by
Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017) · Journal of Retailing · doi:10.1016/j.jretai.2016.12.008 · Cited by 1,195
Augmented reality marketing: How mobile AR-apps can improve brands through inspiration
Rauschnabel, P. A., Felix, R., & Hinsch, C. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.03.004 · Cited by 747
Hilken, T., de Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0541-x · Cited by 693
We ARe at home: how augmented reality reshapes mobile marketing and consumer-brand relationships.
Scholz, J., & Duffy, K. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.05.004 · Cited by 397
Willems, K., Smolders, A., Brengman, M., Luyten, K., & Schöning, J. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.10.066 · Cited by 207
Metadata
- Authors
- Poncin, I., & Ben Mimoun, M. S.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 21
- Issue
- 5
- Pages
- 851-859
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W2098956328
- Cited by
- 268
- References
- 7
- FWCI
- 45.96
- Type
- journal article
- Language
- en
- Open access
- green
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.
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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.