A Hybrid SEM-Neural Network Model for Predicting Determinants of Mobile Payment Services. Issue 3 (3rd July 2019)

• Record Type: Journal Article
• Authors: Sharma, Sujeet Kumar; Sharma, Himanshu; Dwivedi, Yogesh K.
• Is Part Of: Information systems management. Volume 36:Issue 3(2019)
• Page Start: 243
• Page End: 261
• Publication Date: 2019-07-03
• Subjects: Mobile-payment -- technology acceptance -- behavioral intention -- neural network -- Oman; Management information systems -- Periodicals; Information resources management -- Periodicals; 658.403801105
• DOI: 10.1080/10580530.2019.1620504
• Languages: English
• ISSNs: 1058-0530

Abstract

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.