The store of the future: Engaging customers through sensory elements, personalized atmospherics, and interpersonal interaction
Integrity signals
Registry
Cites
Statistics
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?
Flagship stores are known for their personalized atmospheres and interpersonal interactions.
“These retail environments are known for their personalized atmospheres and interpersonal interactions (Szocs et al., 2023).”
From Exploring the influence of flagship store experience and consumer interactions on purchase behaviour (2025) · cites this paper as Szocs et al., 2023
Cites
Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978 · see citing works
The role of data privacy in marketing
Martin, K. D., & Murphy, P. E. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0495-4 · Cited by 902 · see citing works
Selling the Extraordinary in Experiential Retail Stores
Jahn, S., Nierobisch, T., Toporowski, W., & Dannewald, T. (2018) · Journal of the Association for Consumer Research · doi:10.1086/698330 · Cited by 41 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Exploring the influence of flagship store experience and consumer interactions on purchase behaviour
Lourenco, C. E., Madeira, J. C., & Santos, V. M. (2025) · ReMark - Revista Brasileira de Marketing · doi:10.5585/2025.27409 · Cited by 1 · see citing works
- Authors
- Szocs, C., Kim, Y., Lim, M., Mera, C. A., & Biswas, D.
- ORCID
- Biswas, Dipayan
- Venue
- Journal of Retailing
- Publisher
- Elsevier BV
- Published
- 2023-12
- Volume
- 99
- Issue
- 4
- Pages
- 605-620
- ISSN
- 0022-4359
- Cited by
- 59
- References
- 3
- Language
- en
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
