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Factors that determine the adoption of Facebook commerce: The moderating effect of age
16 references·16 citing·27 second hopsampled
Factors that determine the adoption of Facebook commerce: The moderating effect of age (2017)Factors that determine the adoption of Fa…Using PLS path modeling in new technology research: updated guidelines (2016)Using PLS path modeling in ne…Partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A new criterion for assessing…PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Technology Acceptance Model 3…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…The partial least squares approach for structural equation modeling. (1998)The partial least squares app…Understanding Information Technology Usage: A Test of Competing Models (1995)Understanding Information Tec…An Integrative Model Of Organizational Trust (1995)An Integrative Model Of Organ…The Commitment-Trust Theory of Relationship Marketing (1994)The Commitment-Trust Theory o…Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Development of an Instrument …User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)Consumer Perceptions of Price…Developing Buyer-Seller Relationships (1987)Developing Buyer-Seller Relat…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Belief, Attitude, Intention a…Hello! How Can I Help You? Role of Technology Appetite on AI Adoption in the Post‐Pandemic Era (2025)Hello! How Can I Help You? Ro…Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification algorithms approach (2024)Adoption of ChatGPT by univer…Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint (2022)Do biometric payment systems …Based on the perception of ethics in social commerce platforms: Adopting SEM and MCDM approaches for benchmarking customers in rural communities (2022)Based on the perception of et…Understanding E-Commerce Consumers’ Repeat Purchase Intention: The Role of Trust Transfer and the Moderating Effect of Neuroticism (2021)Understanding E-Commerce Cons…The impact of personality trait and social experience on youngsters’ intention to purchase impulsively from social commerce platforms (2021)The impact of personality tra…Impact of big data analytics on sales performance in pharmaceutical organizations: The role of customer relationship management capabilities (2021)Impact of big data analytics …Understanding trust in ms-commerce: The roles of reported experience, linguistic style, profile photo, emotional, and cognitive trust (2020)Understanding trust in ms-com…The intentions to use social commerce from social, technology, and personal trait perspectives: analysis of direct, indirect, and moderating effects (2020)The intentions to use social …Predicting the adoption of a mobile government security response system from the user's perspective: An application of the artificial neural network approach (2020)Predicting the adoption of a …Discovering the Role of Emotional and Rational Appeals and Hidden Heterogeneity of Consumers in Advertising Copies for Sustainable Marketing (2020)Discovering the Role of Emoti…Acceptance of 5 G technology: Mediation role of Trust and Concentration (2020)Acceptance of 5 G technology:…Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention (2019)Exploring the acceptance of i…Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory (2019)Age and gender differences in…Social motivation for the use of social technologies (2018)Social motivation for the use…E-commerce and entrepreneurship in SMEs: case of myBot (2018)E-commerce and entrepreneursh…On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. 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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
  • 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research36,736 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 1994The Commitment-Trust Theory of Relationship Marketing22,337 cited
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 1988Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence18,274 cited
  • 1995An Integrative Model Of Organizational Trust15,026 cited
  • 1998The partial least squares approach for structural equation modeling.12,728 cited
  • 2014Partial least squares structural equation modeling (PLS-SEM)11,717 cited
  • 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation9,145 cited
  • 1987Developing Buyer-Seller Relationships9,139 cited
  • 1995Understanding Information Technology Usage: A Test of Competing Models8,810 cited

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  • 2008Technology Acceptance Model 3 and a Research Agenda on Interventions8,138 cited
  • 2016Using PLS path modeling in new technology research: updated guidelines7,156 cited
  • Cited by

    • 2019Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory258 cited
    • 2020Understanding trust in ms-commerce: The roles of reported experience, linguistic style, profile photo, emotional, and cognitive trust80 cited
    • 2018E-commerce and entrepreneurship in SMEs: case of myBot74 cited
    • 2020Acceptance of 5 G technology: Mediation role of Trust and Concentration72 cited
    • 2020The intentions to use social commerce from social, technology, and personal trait perspectives: analysis of direct, indirect, and moderating effects65 cited
    • 2020Discovering the Role of Emotional and Rational Appeals and Hidden Heterogeneity of Consumers in Advertising Copies for Sustainable Marketing63 cited
    • 2020Predicting the adoption of a mobile government security response system from the user's perspective: An application of the artificial neural network approach58 cited
    • 2022Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint53 cited
    • 2021Understanding E-Commerce Consumers’ Repeat Purchase Intention: The Role of Trust Transfer and the Moderating Effect of Neuroticism51 cited
    • 2018Social motivation for the use of social technologies45 cited
    • 2019Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention43 cited
    • 2021The impact of personality trait and social experience on youngsters’ intention to purchase impulsively from social commerce platforms39 cited
    • 2025Hello! How Can I Help You? Role of Technology Appetite on AI Adoption in the Post‐Pandemic Era38 cited
    • 2024Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification algorithms approach35 cited
    • 2021Impact of big data analytics on sales performance in pharmaceutical organizations: The role of customer relationship management capabilities33 cited
    • 2022Based on the perception of ethics in social commerce platforms: Adopting SEM and MCDM approaches for benchmarking customers in rural communities32 cited