Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context

Frank Bivar Franque; Tiago Oliveira; Carlos Tam

doi:10.1007/s10796-022-10263-8

Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context

Frank Bivar Franque, Tiago Oliveira, Carlos Tam

Research output: Contribution to journal › Article › peer-review

48 Citations (Scopus)

488 Downloads (Pure)

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.

Original language	English
Pages (from-to)	775–793
Number of pages	19
Journal	Information Systems Frontiers
Volume	25
Issue number	2
Early online date	5 Mar 2022
DOIs	https://doi.org/10.1007/s10796-022-10263-8
Publication status	Published - 1 Apr 2023

Keywords

Mobile payment
Continuance intention
Task technology fit model
Expectation-confrmation model
Trust
African context

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s10796-022-10263-8Licence: Other

Franque_oliveira_tam_2022_AAMAccepted author manuscript, 993 KBLicence: CC BY-NC-ND

https://link.springer.com/10.1007/s10796-022-10263-8

Cite this

@article{7ee99d4f1b61415ea3c5f3f7258b8ff8,

title = "Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context",

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-confrmation model, Trust, African context",

author = "Franque, {Frank Bivar} and Tiago Oliveira and Carlos Tam",

note = "info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT# Franque, F. B., Oliveira, T., & Tam, C. (2023). Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context. Information Systems Frontiers, 25(2), 775–793. https://doi.org/10.1007/s10796-022-10263-8 ---%ABS3%",

year = "2023",

month = apr,

day = "1",

doi = "10.1007/s10796-022-10263-8",

language = "English",

volume = "25",

pages = "775–793",

journal = "Information Systems Frontiers",

issn = "1387-3326",

publisher = "Springer Science Business Media",

number = "2",

}

TY - JOUR

T1 - Continuance Intention of Mobile Payment

T2 - TTF Model with Trust in an African Context

AU - Franque, Frank Bivar

AU - Oliveira, Tiago

AU - Tam, Carlos

N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT# Franque, F. B., Oliveira, T., & Tam, C. (2023). Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context. Information Systems Frontiers, 25(2), 775–793. https://doi.org/10.1007/s10796-022-10263-8 ---%ABS3%

PY - 2023/4/1

Y1 - 2023/4/1

N2 - 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.

AB - 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.

KW - Mobile payment

KW - Continuance intention

KW - Task technology fit model

KW - Expectation-confrmation model

KW - Trust

KW - African context

UR - http://www.scopus.com/inward/record.url?scp=85125671893&partnerID=8YFLogxK

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000764997200001

U2 - 10.1007/s10796-022-10263-8

DO - 10.1007/s10796-022-10263-8

M3 - Article

SN - 1387-3326

VL - 25

SP - 775

EP - 793

JO - Information Systems Frontiers

JF - Information Systems Frontiers

IS - 2

ER -

Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this