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Cited by 472

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Mobile banking and economic development: linking adoption, impact, and use

Donner, Jonathan, Tellez, Camilo Andres·2008·Asian Journal of Communication

Abstract

Around the globe, various initiatives use the mobile phone to provide financial services to those without access to traditional banks. Relatively little scholarly research explores the use of these m-banking/m-payments systems. This paper calls attention to this gap in the research literature, emphasizing the need for research focusing on the context(s) of m-banking/m-payments use. Presenting illustrative data from exploratory work with small enterprises in urban India, it argues that contextual research is a critical input to effective ‘adoption’ or ‘impact’ research. Further, it suggests that the challenges of linking studies of use to those of adoption and impact reflect established dynamics within the Information and Communication Technologies and Development (ICTD) research community. The paper identifies three cross-cutting themes from the broader literature (amplification vs. change, simultaneous causality, and a multi-dimensional definition of trust), each of which can offer increased theoretical clarity to future research on m-banking/m-payments systems.

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Metadata

Authors
Donner, J., & Tellez, C. A.
Venue
Asian Journal of Communication
Published
2008-12
Volume
18
Issue
4
Pages
318-332
ISSN
  • 0129-2986 (ISSN-L)
  • 1742-0911
OpenAlex
W1982728102
Cited by
472
References
4
FWCI
31.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mobile banking and economic development: linking adoption, impact, and use. https://app.cochat.ai/papers/10.1080/01292980802344190
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Donner, J., & Tellez, C. A. (2008). Mobile banking and economic development: linking adoption, impact, and use. Asian Journal of Communication. https://doi.org/10.1080/01292980802344190

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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.