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Investigating Barriers Contributing to the Nonadoption of Mobile Payment from Non-users’ Perspective: Insights Based on SEM-ANN Analysis
16 references·0 citing·46 second hopsampled
Investigating Barriers Contributing to the Nonadoption of Mobile Payment from Non-users’ Perspective: Insights Based on SEM-ANN Analysis (2023)Investigating Barriers Contributing to th…Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach (2019)Predicting mobile wallet resi…Consumer attitude and intention to adopt mobile wallet in India – An empirical study (2019)Consumer attitude and intenti…Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2018)Consumer use of mobile bankin…Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Mobile payment: Understanding…Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking (2016)Consumer adoption versus reje…A SEM-neural network approach for predicting antecedents of m-commerce acceptance (2016)A SEM-neural network approach…Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014)Partial Least Squares (PLS) S…Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results (2011)Multigroup Analysis in Partia…An exploration of consumer resistance to innovation and its antecedents (2009)An exploration of consumer re…Mapping the reasons for resistance to Internet banking: A means-end approach (2007)Mapping the reasons for resis…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes (1999)Effects of sample size, estim…Applications of structural equation modeling in marketing and consumer research: A review (1996)Applications of structural eq…A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument (1994)A Confirmatory Factor Analysi…Consumer Resistance to Innovations: The Marketing Problem and its solutions (1989)Consumer Resistance to Innova…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. 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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 1996Applications of structural equation modeling in marketing and consumer research: A review2,550 cited
  • 2014Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It1,899 cited
  • 1999Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes1,664 cited
  • 1989Consumer Resistance to Innovations: The Marketing Problem and its solutions1,534 cited
  • 1994A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument1,403 cited
  • 2016Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology1,371 cited
  • 2011Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results1,324 cited
  • 2016Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking692 cited
  • 2016A SEM-neural network approach for predicting antecedents of m-commerce acceptance583 cited
  • 2018Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model582 cited
  • 2009An exploration of consumer resistance to innovation and its antecedents

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576 cited
  • 2019Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach536 cited
  • 2007Mapping the reasons for resistance to Internet banking: A means-end approach530 cited
  • 2019Consumer attitude and intention to adopt mobile wallet in India – An empirical study518 cited
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