Predicting the intention to adopt mobile payment during the Covid-19 pandemic: applying the theory of planned behavior / Connie Voo Min Jun and Mohd Ashari Bakri

Min Jun, Connie Voo and Bakri, Mohd Ashari (2023) Predicting the intention to adopt mobile payment during the Covid-19 pandemic: applying the theory of planned behavior / Connie Voo Min Jun and Mohd Ashari Bakri. Academic Journal of Business and Social Sciences (AJoBSS), 7 (1). pp. 1-13. ISSN 2590-440X (Submitted)

Abstract

This study investigates the factor affecting the behavioral intention to adopt mobile payment among students in Universiti Malaysia Sabah during the COVID-19 pandemic by applying the Theory of Planned Behavior (TPB). The study uses stepwise multiple linear regression to test the factors affecting the behavioral intention to adopt mobile payment among students in Universiti Malaysia Sabah. Through convenience sampling techniques, the primary data source was collected through online questionnaires. In addition, the data of this study was collected by survey form with 110 valid respondents who had experience using mobile payment services at least once during the outbreak of COVID-19 pandemic. The findings revealed that only the Perceived Behavioral Control (PBC) dimension significantly and positively affected the behavioral intention to adopt mobile payment among students in Universiti Malaysia Sabah during the COVID-19 pandemic.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Min Jun, Connie Voo
UNSPECIFIED
Bakri, Mohd Ashari
mohd.ashari@ums.edu.my
Subjects: B Philosophy. Psychology. Religion > BF Psychology > Affection. Feeling. Emotion
Divisions: Universiti Teknologi MARA, Melaka > Alor Gajah Campus
Journal or Publication Title: Academic Journal of Business and Social Sciences (AJoBSS)
UiTM Journal Collections: UiTM Journal > Academic Journal of Business and Social Sciences (AJoBSS)
ISSN: 2590-440X
Volume: 7
Number: 1
Page Range: pp. 1-13
Related URLs:
Keywords: Theory of planned behaviour; Mobile payment, COVID-19, Malaysia
Date: September 2023
URI: https://ir.uitm.edu.my/id/eprint/85386
Edit Item
Edit Item

Download

[thumbnail of 85386.pdf] Text
85386.pdf

Download (218kB)

ID Number

85386

Indexing

Statistic

Statistic details