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Cited by 238

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Continuance intention of online technologies: A systematic literature review

Open access
Yan, Min, Filieri, Raffaele, Gorton, Matthew·2021·International Journal of Information Management

Abstract

Abstract Given the dynamic nature of digital technologies, understanding why users intend to continue to use them or not is important for practitioners and academics alike. This paper presents an up-to-date Systematic Literature Review (SLR) of Continuance Intention (CI) for online technologies. The SLR classifies and analyses 147 relevant articles on CI in the field of online technology. It analyses papers according to the type of online technology as well as four groups of antecedents (psychological, technological, social, and behavioral) of CI and reviews the consequences of CI. Based on the SLR, the paper outlines two broad directions for future research relating to a conceptual framework and research design, highlighting promising research areas linked to the new features of emerging technologies, such as hyper-connectivity, and intention-behavior gaps.

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Metadata

Authors
Yan, M., Filieri, R., & Gorton, M.
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2021-06
Volume
58
Pages
102315
ISSN
0268-4012 (ISSN-L)
OpenAlex
W3126583568
Cited by
238
References
29
FWCI
11.39
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Continuance intention of online technologies: A systematic literature review. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2021.102315
The paper
Yan, M., Filieri, R., & Gorton, M. (2021). Continuance intention of online technologies: A systematic literature review. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2021.102315

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.