Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context
Frank Bivar Franque (ffranque@ucm.ac.mz),
Tiago Oliveira (toliveira@novaims.unl.pt) and
Carlos Tam (carlosvai@novaims.unl.pt)
Additional contact information
Frank Bivar Franque: Universidade Católica de Moçambique
Tiago Oliveira: NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa
Carlos Tam: NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa
Information Systems Frontiers, 2023, vol. 25, issue 2, No 17, 775-793
Abstract:
Abstract The use of mobile payment (m-payment) is growing exponentially in developing countries. A small number of investigations have been undertaken on what makes people continue to use m-payment in an African context. We combine the task technology fit (TTF) model, expectation-confirmation model (ECM), and trust dimension to explain the influence of continuance use of m-payment. We collected 384 valid questionnaire responses from Mozambique. The results show that the relevant constructs to explain continuance intention are use, individual performance, overall trust, and the moderation role of satisfaction.
Keywords: Mobile payment; Continuance intention; Task technology fit model; Expectation-confirmation model; Trust; African context (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s10796-022-10263-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:25:y:2023:i:2:d:10.1007_s10796-022-10263-8
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796
DOI: 10.1007/s10796-022-10263-8
Access Statistics for this article
Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao
More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).