The influence of behavioural intention on third-party e-commerce payment

Background: Third-party e-commerce payment has been used by many businesses and consumers, enabling customers to easily access the payment platform during e-commerce transactions. Thus, the emergence of such new technology has become a major topic for organisations to study factors that have influen...

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Main Author: Jih K. Chen
Format: Article
Language:English
Published: AOSIS 2018-06-01
Series:South African Journal of Economic and Management Sciences
Subjects:
TAM
Online Access:https://sajems.org/index.php/sajems/article/view/2157
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spelling doaj-89aed9407a634d3eaa03a05a2fa51c382020-11-24T21:16:10ZengAOSISSouth African Journal of Economic and Management Sciences1015-88122222-34362018-06-01211e1e910.4102/sajems.v21i1.2157675The influence of behavioural intention on third-party e-commerce paymentJih K. Chen0School of Management, Tan Kah Kee College, Xiamen UniversityBackground: Third-party e-commerce payment has been used by many businesses and consumers, enabling customers to easily access the payment platform during e-commerce transactions. Thus, the emergence of such new technology has become a major topic for organisations to study factors that have influenced the people’s adoption and acceptance of new technology as well as mutual influence.   Setting: The Technology Acceptance Model is one of the most studied models of behavioural intention to use new information technology.   Aim: However, in terms of the causal relationship of variables in the model, one variable is considered independent, ignoring the possibility of mutual influence, and many samples are required for statistical empirical research. This study aims to resolve these above two deficiencies.   Methods: This study adopts the Decision-Making and Trial Evaluation Laboratory method, and applies the latest Technology Acceptance Model (TAM3) to examine.   Results: The results found several extra causal relationships which are not present in the TAM3 model, and understood that Experience and Computer Playfulness are the driving factors of third-party e-commerce payment, and Computer Anxiety is the core factor.   Conclusion: The feasibility of this approach was demonstrated through an empirical study, and these results could be used to guide management direction and marketing strategy.https://sajems.org/index.php/sajems/article/view/2157technology acceptance modelTAMTAM3DEMATELthird-party e-commerce payment
collection DOAJ
language English
format Article
sources DOAJ
author Jih K. Chen
spellingShingle Jih K. Chen
The influence of behavioural intention on third-party e-commerce payment
South African Journal of Economic and Management Sciences
technology acceptance model
TAM
TAM3
DEMATEL
third-party e-commerce payment
author_facet Jih K. Chen
author_sort Jih K. Chen
title The influence of behavioural intention on third-party e-commerce payment
title_short The influence of behavioural intention on third-party e-commerce payment
title_full The influence of behavioural intention on third-party e-commerce payment
title_fullStr The influence of behavioural intention on third-party e-commerce payment
title_full_unstemmed The influence of behavioural intention on third-party e-commerce payment
title_sort influence of behavioural intention on third-party e-commerce payment
publisher AOSIS
series South African Journal of Economic and Management Sciences
issn 1015-8812
2222-3436
publishDate 2018-06-01
description Background: Third-party e-commerce payment has been used by many businesses and consumers, enabling customers to easily access the payment platform during e-commerce transactions. Thus, the emergence of such new technology has become a major topic for organisations to study factors that have influenced the people’s adoption and acceptance of new technology as well as mutual influence.   Setting: The Technology Acceptance Model is one of the most studied models of behavioural intention to use new information technology.   Aim: However, in terms of the causal relationship of variables in the model, one variable is considered independent, ignoring the possibility of mutual influence, and many samples are required for statistical empirical research. This study aims to resolve these above two deficiencies.   Methods: This study adopts the Decision-Making and Trial Evaluation Laboratory method, and applies the latest Technology Acceptance Model (TAM3) to examine.   Results: The results found several extra causal relationships which are not present in the TAM3 model, and understood that Experience and Computer Playfulness are the driving factors of third-party e-commerce payment, and Computer Anxiety is the core factor.   Conclusion: The feasibility of this approach was demonstrated through an empirical study, and these results could be used to guide management direction and marketing strategy.
topic technology acceptance model
TAM
TAM3
DEMATEL
third-party e-commerce payment
url https://sajems.org/index.php/sajems/article/view/2157
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