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Cited by 299

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

Developing a Mobile Applications Customer Experience Model (MACE)- Implications for Retailers

McLean, Graeme, Al-Nabhani, Khalid, Wilson, Alan·2018·Journal of Business Research
DOI 10.1016/j.jbusres.2018.01.018
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Registry

Crossref · 10.1016/j.jbusres.2018.01.018

Cites

94 of 94 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 94 references

Research works printed but not linked: 4

  1. Brynjolfsson, 2013, Competing in the age of omnichannel retailing, MIT Sloan Management Review, 54, 23
  2. Csikszentmihalyi, 1997, Finding flow, Psychology Today, 1
  3. Loiacono, 2002, WEBQUAL: Measure of web site quality, Marketing Educators Conference: Marketing Theory and Applications, 13, 432
  4. Yun, 2013, Understanding the use of location based service applications: Do privacy concerns matter?, Journal of Electronic Commerce Research, 14, 215

Cited by

See all 299

Metadata

Authors
McLean, G., Al-Nabhani, K., & Wilson, A.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2018-04
Volume
85
Pages
325-336
ISSN
0148-2963 (ISSN-L)
DOI
10.1016/j.jbusres.2018.01.018
OpenAlex
W2787530923
Cited by
299
References
94
FWCI
40.49
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Developing a Mobile Applications Customer Experience Model (MACE)- Implications for Retailers. https://app.cochat.ai/papers/10.1016/j.jbusres.2018.01.018
The paper
McLean, G., Al-Nabhani, K., & Wilson, A. (2018). Developing a Mobile Applications Customer Experience Model (MACE)- Implications for Retailers. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2018.01.018

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.