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  • 标题:Structural Modeling Using AMOS to Identify the Demographic Factors Affecting Shopping through E-payment
  • 本地全文:下载
  • 作者:K. M. Salah Uddin ; Md Tuhinur Rahman
  • 期刊名称:International Journal of Information Science
  • 印刷版ISSN:2163-1921
  • 电子版ISSN:2163-193X
  • 出版年度:2019
  • 卷号:9
  • 期号:1
  • 页码:1-5
  • DOI:10.5923/j.ijis.20190901.01
  • 语种:English
  • 出版社:Scientific & Academic Publishing Co.
  • 摘要:In the recent years the world is sensing the rapid growth of e-commerce and people around the world are using electronic payment system for shopping and purchasing their necessities. It is happening because of the introduction of new technologies for business. Nowadays people use e-payment system for shopping which saves their time and money at a time and this is an easier way of paying the shopping bill. The objective of this paper is to identify the demographic factors which are affecting shopping through e-payment. It is clear that people are being influenced by demographic factors (age, gender, income, education) for shopping using e-payment. For this purpose a research model was constructed and using AMOS the relationships were tested as well as the reliability and the fitness of the model were also tested. The study shows that demographic factors which are age, gender, income and education have considerable impact on people use of e-payment for their shopping purposes.
  • 关键词:Demographic factors; e-payment; Mobile Payment System (MPS); Technology Adoptation
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