View in EDS PDF Full Text

A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application.

Saved in:
Bibliographic Details
Title: A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application.
Authors: Saleh, Ashraf1, Asaleh@aau.edu.jo, Enaizan, Odai2, Eneizan, Bilal3, Al-Mu’ani, Lu’ay4, Al-Radaideh, Ahmad Tawfig3, Hanandeh, Feras5
Source: International Journal of Interactive Mobile Technologies; 2022, Vol. 16 Issue 21, p125-152, 28p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 160220850
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Saleh%2C+Ashraf%22">Saleh, Ashraf</searchLink><relatesTo>1</relatesTo>, <i>Asaleh@aau.edu.jo</i><br /><searchLink fieldCode="AU" term="%22Enaizan%2C+Odai%22">Enaizan, Odai</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Eneizan%2C+Bilal%22">Eneizan, Bilal</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Al-Mu%27ani%2C+Lu%27ay%22">Al-Mu’ani, Lu’ay</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Al-Radaideh%2C+Ahmad+Tawfig%22">Al-Radaideh, Ahmad Tawfig</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Hanandeh%2C+Feras%22">Hanandeh, Feras</searchLink><relatesTo>5</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>; 2022, Vol. 16 Issue 21, p125-152, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=160220850
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3991/ijim.v16i21.31815
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 125
    Titles:
      – TitleFull: A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Saleh, Ashraf
      – PersonEntity:
          Name:
            NameFull: Enaizan, Odai
      – PersonEntity:
          Name:
            NameFull: Eneizan, Bilal
      – PersonEntity:
          Name:
            NameFull: Al-Mu’ani, Lu’ay
      – PersonEntity:
          Name:
            NameFull: Al-Radaideh, Ahmad Tawfig
      – PersonEntity:
          Name:
            NameFull: Hanandeh, Feras
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 18657923
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 21
          Titles:
            – TitleFull: International Journal of Interactive Mobile Technologies
              Type: main
ResultId 1