The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Towards the identification of customer experience touch point elements
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Cites
How Many Interviews Are Enough?: An Experiment with Data Saturation and Variability
Guest, G., Bunce, A., & Johnson, L. (2006) · Field Methods · doi:10.1177/1525822x05279903 · Cited by 20,808
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
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
Customer experience creation: Determinants, dynamics and management strategies
Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009) · Journal of Retailing · doi:10.1016/j.jretai.2008.11.001 · Cited by 3,140
Online customer experience in e-retailing: An empirical model of antecedents and outcomes
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012) · Journal of Retailing · doi:10.1016/j.jretai.2012.03.001 · Cited by 1,131
Service design for experience-centric services
Zomerdijk, L. G., & Voss, C. A. (2010) · Journal of Service Research · doi:10.1177/1094670509351960 · Cited by 960
Re-examining online customer experience to include purchase frequency and perceived risk
Martin, J., Mortimer, G., & Andrews, L. (2015) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.03.008 · Cited by 321
Cited by
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
The role of artificial intelligence in improving the omnichannel customer experience
Calvo, A. V., Franco, A. D., & Frasquet, M. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-12-2022-0493 · Cited by 102
Archetypical consumer roles in closing the loops of resource flows for Fast-Moving Consumer Goods
Zeeuw van der Laan, A., & Aurisicchio, M. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.06.306 · Cited by 45
Bäckström, K., & Johansson, U. (2017) · The International Review of Retail, Distribution and Consumer Research · doi:10.1080/09593969.2017.1314865 · Cited by 39
Ease or excitement? Exploring how concept stores contribute to a retail portfolio
Egan-Wyer, C. J., Burt, S., Hultman, J., Johansson, U., Beckman, A., & Michélsen, C. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2020-0407 · Cited by 26
Metadata
- Authors
- Stein, A., & Ramaseshan, B.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 30
- Pages
- 8-19
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W2218777864
- Cited by
- 286
- References
- 7
- FWCI
- 57.05
- Type
- journal article
- Language
- en
- Open access
- green
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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.
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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.
