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What factors drive consumers’ desire to continue using food delivery apps (FDA) in Taiwan after the COVID-19 pandemic?
16 references·4 citing·32 second hop
What factors drive consumers’ desire to continue using food delivery apps (FDA) in Taiwan after the COVID-19 pandemic? (2023)What factors drive consumers’ desire to c…Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis (2022)Artificial intelligence-drive…What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020)What factors determining cust…The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2020)The extended Unified Theory o…Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality (2019)Determinants of Continuous In…When to use and how to report the results of PLS-SEM (2018)When to use and how to report…The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value (2018)The non-monetary benefits of …The information quality and source credibility matter in customers’ evaluation toward food O2O commerce (2018)The information quality and s…Differences in perceptions about food delivery apps between single-person and multi-person households (2018)Differences in perceptions ab…Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation (2018)Adoption of O2O food delivery…Explain the intention to use smartphones for mobile shopping (2014)Explain the intention to use …A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A new criterion for assessing…Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)Understanding Information Sys…Structural equation modeling in practice: A review and recommended two-step approach. (1988)Structural equation modeling …Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural Equation Models wi…A systematic review and future agenda on continuance intentions in mobile apps (2025)A systematic review and futur…Understanding users’ trust transfer mechanism in food delivery apps (2024)Understanding users’ trust tr…Decision-making model in digital commerce: electronic trust-based purchasing intention through online food delivery applications (OFDAs) (2024)Decision-making model in digi…Are you hungry for play? Investigating the role of emotional attachment on continuance intention to use food delivery apps (2024)Are you hungry for play? Inve…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. (1985)A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example (2005)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Construct validity in psychological tests. (1955)Review of Psychometric theory (2nd ed.). (1979)Significance tests and goodness of fit in the analysis of covariance structures. (1980)The Commitment-Trust Theory of Relationship Marketing (1994)Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)The value proposition of food delivery apps from the perspective of theory of consumption value (2021)PLS-SEM: Indeed a Silver Bullet (2011)Partial Least Squares Structural Equation Modeling (2017)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture (2021)Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory (2022)Students’ Acceptance of ChatGPT in Higher Education: An Extended Unified Theory of Acceptance and Use of Technology (2023)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017)Using PLS path modeling in new technology research: updated guidelines (2016)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)A meta-analysis of antecedents and consequences of trust in mobile commerce (2019)The battle of Brain vs. Heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2 (2019)Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues (2020)
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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 1988Structural equation modeling in practice: A review and recommended two-step approach.41,858 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics9,798 cited
  • 2001Understanding Information Systems Continuance: An Expectation-Confirmation Model18,741 cited
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  • 2018The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value484 cited
  • 2020What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?477 cited
  • 2014Explain the intention to use smartphones for mobile shopping414 cited
  • 2022Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis

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358 cited
  • 2019Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality350 cited
  • 2018The information quality and source credibility matter in customers’ evaluation toward food O2O commerce322 cited
  • 2018Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation296 cited
  • Cited by

    • 2024Are you hungry for play? Investigating the role of emotional attachment on continuance intention to use food delivery apps19 cited
    • 2024Decision-making model in digital commerce: electronic trust-based purchasing intention through online food delivery applications (OFDAs)17 cited
    • 2024Understanding users’ trust transfer mechanism in food delivery apps9 cited
    • 2025A systematic review and future agenda on continuance intentions in mobile apps9 cited