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Cited by 529

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach

Liébana-Cabanillas, Francisco, Marinkovic, Veljko, Ramos de Luna, Iviane, Kalinic, Zoran·2018·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2017.12.015
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Crossref · 10.1016/j.techfore.2017.12.015

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Metadata

Authors
Liébana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2018-04
Volume
129
Pages
117-130
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2017.12.015
OpenAlex
W2778468755
Cited by
529
References
16
FWCI
31.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. https://app.cochat.ai/papers/10.1016/j.techfore.2017.12.015
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Liébana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.12.015

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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.