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PREDICTING CONTINUANCE INTENTION AND USE OF MOBILE SHOPPING APPS WITH PLS-SEM AND NECESSARY CONDITION ANALYSIS IN TANDEM
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References

  • 1992Information Systems Success: The Quest for the Dependent Variable10,674 cited
  • 2015Common Method Bias in PLS-SEM10,154 cited
  • 2004Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model1,401 cited
  • 2018A Statistical Significance Test for Necessary Condition Analysis691 cited
  • 2018Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation659 cited
  • 2016Information Systems Success Measurement536 cited
  • 2006A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior487 cited
  • 2018Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology467 cited
  • 2020Consumers’ Decision-Making Process on Social Commerce Platforms: Online Trust, Perceived Risk, and Purchase Intentions431 cited
  • 2018What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage395 cited
  • 2020Consumers response towards mobile commerce applications: S-O-R approach351 cited
  • 2019Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality350 cited
  • 2021Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development269 cited

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  • 2017Understanding mobile shopping consumers’ continuance intention239 cited
  • 2007Expectation confirmation: An examination of three competing models238 cited
  • 2021Continuance intention of online technologies: A systematic literature review238 cited
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