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Aging Consumer Engagement with the Mobile Food Planner Apps in Malaysia: Investigating Gender Differences
16 references·0 citing·41 second hopsampled
Aging Consumer Engagement with the Mobile Food Planner Apps in Malaysia: Investigating Gender Differences (2025)Aging Consumer Engagement with the Mobile…“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023)“Extending the Technology Acc…The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022)The Roles of Personality Trai…PLS-SEM’s most wanted guidance (2022)PLS-SEM’s most wanted guidance“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances (2022)“PLS-SEM: indeed a silver bul…Understanding the attitude and intention to use smartphone chatbots for shopping (2020)Understanding the attitude an…The theory of planned behavior: Frequently asked questions (2020)The theory of planned behavio…Purposive sampling: complex or simple? 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(1988)Structural equation modeling …Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…The Method of Path Coefficients (1934)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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(1992)Multigroup analysis of more than two groups in PLS-SEM: A review, illustration, and recommendations (2022)Improving PLS-SEM use for business marketing research (2023)Necessary condition analysis (NCA): review of research topics and guidelines for good practice (2023)Using PLS path modeling in new technology research: updated guidelines (2016)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Technological disruptions in services: lessons from tourism and hospitality (2019)Innovating the cultural heritage museum service model through virtual reality and augmented reality: the effects on the overall visitor experience and satisfaction (2021)Virtual Tours a Means to an End: An Analysis of Virtual Tours’ Role in Tourism Recovery Post COVID-19 (2021)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error113,385 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling43,453 cited
  • 1988Structural equation modeling in practice: A review and recommended two-step approach.42,320 cited
  • 2018When to use and how to report the results of PLS-SEM33,063 cited
  • 2015Common Method Bias in PLS-SEM11,396 cited
  • 2020Purposive sampling: complex or simple? Research case examples4,894 cited
  • 2020The theory of planned behavior: Frequently asked questions3,341 cited
  • 2014Technology acceptance model: a literature review from 1986 to 20132,620 cited
  • 2022PLS-SEM’s most wanted guidance1,430 cited
  • 2018Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model1,342 cited
  • 2023“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”768 cited
  • 2022The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence751 cited
  • 2020Understanding the attitude and intention to use smartphone chatbots for shopping694 cited
  • 2022“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances

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625 cited
  • 2018Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model611 cited
  • 2004Perceptual measures of performance: fact or fiction?606 cited
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