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A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application
16 references·0 citing·37 second hop
A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application (2022)A Hybrid SEM and Neural Network Approach …Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach (2019)Predicting mobile wallet resi…A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust (2019)A cross-cultural study of the…Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)Factors influencing adoption …Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Information Privacy Research: an Interdisciplinary Review1 (2011)Information Privacy Research:…Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services (2010)Examining multi-dimensional t…A Systematic Review of Patient Acceptance of Consumer Health Information Technology (2009)A Systematic Review of Patien…Internet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1 (2008)Internet Users’ Information P…Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology (2005)Personal innovativeness, soci…A Theoretical Integration of User Satisfaction and Technology Acceptance (2005)A Theoretical Integration of …What drives mobile commerce? (2004)What drives mobile commerce?Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model (2004)Internet Users' Information P…International Differences in Information Privacy Concerns: A Global Survey of Consumers (2004)International Differences in …Consumer Privacy: Balancing Economic and Justice Considerations (2003)Consumer Privacy: Balancing E…Information Privacy: Measuring Individuals’ Concerns About Organizational Practices1 (1996)Information Privacy: Measurin…Frontiers of Electronic Commerce (1996)Frontiers of Electronic Comme…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)On the Evaluation of Structural Equation Models (1988)Comparative fit indexes in structural models. 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References

  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology117,028 cited
  • 2004Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model3,223 cited
  • 2005A Theoretical Integration of User Satisfaction and Technology Acceptance2,907 cited
  • 2004What drives mobile commerce?2,525 cited
  • 1996Information Privacy: Measuring Individuals’ Concerns About Organizational Practices12,277 cited
  • 2011Information Privacy Research: an Interdisciplinary Review12,090 cited
  • 2017Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust1,765 cited
  • 2005Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology1,494 cited
  • 2010Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services1,141 cited
  • 1996Frontiers of Electronic Commerce977 cited
  • 2003Consumer Privacy: Balancing Economic and Justice Considerations815 cited
  • 2019A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust626 cited
  • 2008Internet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1608 cited

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  • 2009A Systematic Review of Patient Acceptance of Consumer Health Information Technology587 cited
  • 2004International Differences in Information Privacy Concerns: A Global Survey of Consumers565 cited
  • 2019Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach561 cited
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