Study on influential factors of mobile payment systems diffusion in Zambia: A nfc-micro sd perspective
Loading...
Date
2016
Authors
Lesa, Ernest
Journal Title
Journal ISSN
Volume Title
Publisher
University of Zambia
Abstract
Advancements in mobile technologies have led to an increased uptake of smart
phones globally and users are tethered to their mobile devices to an extent
unmatched by any other technology in the past. This has led to a growing trend in
mobile payment (m-payment) activities. However, Zambia’s mobile payment
services have not evolved in step with mobile devices’ penetration rate. This
empirical study sought to examine consumer’s behavioral intention to use or not-use
m-payment services through the applicability of the renowned extended Technology
Acceptance Model (TAM) framework.
A self-administered questionnaire was developed and distributed to current-users,
capable-users, regulators, bank staff and merchants within Lusaka. A total of 152
participants completed the survey questionnaires measuring their responses to
Perceived usefulness (PU), Perceived ease of use(PEOU), Perceived risk(PR), Social
norm(SN), Perceived cost(PC) and Behavioral Intention to Use(BIU), representing a
response rate of 84.4 percent.
SPSS was used to analyse results yielding a model linear regression Pearson
correlation coefficient(R) value of 0.8 and significance (p) value of 0.0001 indicating
a significant model with very strong relationship among variables. The R values for
independent factors PEOU, PU and SN against dependent variable BUI were
positive with significance(p) values of 0.0001(p<0.05) representing a scientifically
and statistically significant positive influence on BUI, whilst PC(-.071) and PR(-
.047) had negative coefficient values representing a deterrent influence on use of mpayment.
The research further demonstrated that technological factors of NFC-Micro
SD influenced the Pearson coefficients of PC(.124) and PR(.285) to change in the
direction against negative influence. This study showed that the Model can be used
to predict behavioral intention to use of m-payment providing insights into strategies
to design and deploy m-payment services that may yield higher consumer adoption
for m-Payment services in Zambia.
Description
Master of Engineering in Project Management
Keywords
Electronic funds transfers. , Mobile commerce.