A SEM-neural network approach for predicting antecedents of m-commerce acceptance
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Few papers in IJIM address specific applications of ANN, exceptions including Liébana-Cabanillas et al. (2017) and Mostafa and El-Masry (2013).
“Interestingly, few papers in IJIM address specific applications of ANN, exceptions including LiébanaCabanillas, Marinković, and Kalinić (2017); Mostafa and El-Masry (2013).”
From Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (2019) · cites this paper as Liébana-Cabanillas et al., 2017
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- Authors
- Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z.
- Affiliations
- Universidad de Granada (ES)
- University of Kragujevac (RS)
- Corresponding author
- Liébana-Cabanillas, Francisco
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 37
- Issue
- 2
- Pages
- 14-24
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2561131998
- Cited by
- 583
- References
- 11
- Citations by year
- 2026: 63 · 2025: 69 · 2024: 82 · 2023: 76 · 2022: 84 · 2021: 73 · 2020: 48 · 2019: 51 · 2018: 24 · 2017: 13
- FWCI
- 55.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Information Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja (III-44010)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- mobile commerce, technology acceptance model, consumer adoption, perceived usefulness, perceived ease of use, trust, customization, customer involvement, intention to use, mobile devices, marketing strategy
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