A Hybrid SEM-Neural Network Model for Predicting Determinants of Mobile Payment Services

Sujeet Kumar Sharma; Himanshu Sharma; Yogesh K. Dwivedi

doi:10.1080/10580530.2019.1620504

A Hybrid SEM-Neural Network Model for Predicting Determinants of Mobile Payment Services

Sujeet Kumar Sharma
, Himanshu Sharma
, Yogesh K. Dwivedi^*

^*Corresponding author for this work

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

117 Scopus citations

Abstract

This study develops a new research model to understand and predict the key determinants influencing the adoption of mobile payment services in a Middle Eastern country, Oman. The research model was tested using a hybrid structural equation modeling (SEM) and neural network (NN) modeling. The findings suggest valuable insights into the mobile payment service providers in the development of an appropriate and effective strategy to raise the number of new consumers in Oman.

Original language	English
Pages (from-to)	243-261
Number of pages	19
Journal	Information Systems Management
Volume	36
Issue number	3
DOIs	https://doi.org/10.1080/10580530.2019.1620504
State	Published - 3 Jul 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2019, © 2019 Taylor & Francis.

Keywords

Mobile-payment
Oman
behavioral intention
neural network
technology acceptance

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Library and Information Sciences

Access to Document

10.1080/10580530.2019.1620504

Cite this

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