The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps
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Citations
Cites
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
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436
Empirical testing of a model of online store atmospherics and shopper responses
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003) · Psychology & Marketing · doi:10.1002/mar.10064 · Cited by 1,283
Cited by
Generation Z consumers’ expectations of interactions in smart retailing: A future agenda
Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.058 · Cited by 838
Enabling smart retail settings via mobile augmented reality shopping apps
Dacko, S. G. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.09.032 · Cited by 543
Predicting the intentions to use chatbots for travel and tourism
Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2021) · Current Issues in Tourism · doi:10.1080/13683500.2019.1706457 · Cited by 406
Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?
de Kerviler, G., Demoulin, N. T. M., & Zidda, P. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.04.011 · Cited by 374
Constituents and consequences of smart customer experience in retailing
Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.09.022 · Cited by 348
Metadata
- Authors
- Kang, J.-Y. M., Mun, J. M., & Johnson, K. K. P.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 46
- Pages
- 210-217
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2194012058
- Cited by
- 229
- References
- 4
- FWCI
- 38.60
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps. https://app.cochat.ai/papers/10.1016/j.chb.2015.01.012
- The paper
- Kang, J.-Y. M., Mun, J. M., & Johnson, K. K. P. (2015). In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2015.01.012
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.
