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The influence of individual differences on NFC-based mobile payment adoption in the restaurant industry
16 references·12 citing·43 second hop
The influence of individual differences on NFC-based mobile payment adoption in the restaurant industry (2019)The influence of individual differences o…Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017)Security-related factors in e…Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India (2014)Adoption readiness, personal …Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the Utaut Model (2012)Factors Affecting Individuals…The ‘digital natives’ debate: A critical review of the evidence (2008)The ‘digital natives’ debate:…Men, Women and Risk Aversion: Experimental Evidence (2008)Men, Women and Risk Aversion:…An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models (2008)An assessment of advanced mob…Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics (2006)Using the technology acceptan…Exploring factors affecting the adoption of mobile commerce in Singapore (2005)Exploring factors affecting t…Inexperience and experience with online stores: the importance of TAM and trust (2003)Inexperience and experience w…Factors underlying attitude formation towards online banking in Finland (2002)Factors underlying attitude f…A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes (2000)A Longitudinal Field Investig…Are Individual Differences Germane to the Acceptance of New Information Technologies? (1999)Are Individual Differences Ge…A Multivariate Analysis of Web Usage (1999)A Multivariate Analysis of We…ARE WOMEN MORE RISK AVERSE? (1998)ARE WOMEN MORE RISK AVERSE?Assessing IT Usage: The Role of Prior Experience (1995)Assessing IT Usage: The Role …Development and Test of a Theory of Technological Learning and Usage (1992)Development and Test of a The…Foodtech in motion: innovation and digitalisation of the food service sector in the post-pandemic Spain (2024)Foodtech in motion: innovatio…30 years of healthy ageing research in tourism and hospitality: research trends and implications for future research (2024)30 years of healthy ageing re…Normative and informational social influence affecting digital technology acceptance of senior restaurant diners: A technology learning perspective (2023)Normative and informational s…Determinants of Chinese Travellers’ Use of Mobile Payment Applications when Staying at an Overseas Hotel (2023)Determinants of Chinese Trave…Provoking Actual Mobile Payment Use in the Middle East (2022)Provoking Actual Mobile Payme…Understanding the Determinants of Wearable Payment Adoption: An Empirical Study (2021)Understanding the Determinant…Understanding proximity mobile payment continuance usage in Indonesia from a habit perspective (2021)Understanding proximity mobil…Mobile payment technology in hospitality and tourism: a critical review through the lens of demand, supply and policy (2021)Mobile payment technology in …Examining the relative influence of multidimensional customer service relationships in the food delivery application context (2021)Examining the relative influe…Enterprise Financial Leverage and Risk Assessment Based on Mobile Payment under Artificial Intelligence (2021)Enterprise Financial Leverage…Cash, credit card, or mobile? Examining customer payment preferences at chain restaurants in Taiwan (2021)Cash, credit card, or mobile?…Antecedents of the intention to use NFC mobile applications in tourism (2020)Antecedents of the intention …Determinants of user acceptance of Internet banking: an empirical study (2003)User Acceptance of Information Technology: Toward A Unified View1 (2003)Toward an understanding of the behavioral intention to use mobile banking (2004)Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM (2014)Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2018)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Understanding Information Technology Usage: A Test of Competing Models (1995)Trust and TAM in Online Shopping: An Integrated Model1 (2003)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1 (2000)Why do people use information technology? A critical review of the technology acceptance model (2002)A meta-analysis of the technology acceptance model (2006)Advertising Value and Advertising on the Web (1996)New Media Interactive Advertising vs. Traditional Advertising (1998)Consumer Attitudes Toward Mobile Advertising: An Empirical Study (2004)INTERNET USES AND GRATIFICATIONS: A Structural Equation Model of Interactive Advertising (2005)Why people use social media: a uses and gratifications approach (2013)The Principles of Psychology (1891)A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges1 (2001)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)The Role of Espoused National Cultural Values in Technology Acceptance1 (2006)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Explaining consumer acceptance of handheld Internet devices (2003)PERSPECTIVE: Older Adults' Adoption of Technology: An Integrated Approach to Identifying Determinants and Barriers (2014)The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption (2016)Experiential Learning : Experience as the Source of Learning and Development (1983)Cognitive Load During Problem Solving: Effects on Learning (1988)Digital Natives, Digital Immigrants Part 1 (2001)Digital natives: Where is the evidence? 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References

  • 2008The ‘digital natives’ debate: A critical review of the evidence2,957 cited
  • 1995Assessing IT Usage: The Role of Prior Experience2,887 cited
  • 1999Are Individual Differences Germane to the Acceptance of New Information Technologies?2,105 cited
  • 1998ARE WOMEN MORE RISK AVERSE?1,730 cited
  • 2000A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes1,236 cited
  • 2006Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics1,066 cited
  • 2003Inexperience and experience with online stores: the importance of TAM and trust965 cited
  • 1999A Multivariate Analysis of Web Usage941 cited
  • 1992Development and Test of a Theory of Technological Learning and Usage896 cited
  • 2012Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the Utaut Model790 cited
  • 2008Men, Women and Risk Aversion: Experimental Evidence662 cited
  • 2005Exploring factors affecting the adoption of mobile commerce in Singapore655 cited
  • 2008An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models648 cited
  • 2014Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India

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606 cited
  • 2002Factors underlying attitude formation towards online banking in Finland597 cited
  • 2017Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry597 cited
  • Cited by

    • 2021Examining the relative influence of multidimensional customer service relationships in the food delivery application context52 cited
    • 202430 years of healthy ageing research in tourism and hospitality: research trends and implications for future research37 cited
    • 2023Normative and informational social influence affecting digital technology acceptance of senior restaurant diners: A technology learning perspective35 cited
    • 2021Understanding proximity mobile payment continuance usage in Indonesia from a habit perspective34 cited
    • 2021Mobile payment technology in hospitality and tourism: a critical review through the lens of demand, supply and policy34 cited
    • 2020Antecedents of the intention to use NFC mobile applications in tourism27 cited
    • 2021Cash, credit card, or mobile? Examining customer payment preferences at chain restaurants in Taiwan22 cited
    • 2021Understanding the Determinants of Wearable Payment Adoption: An Empirical Study19 cited
    • 2021Enterprise Financial Leverage and Risk Assessment Based on Mobile Payment under Artificial Intelligence19 cited
    • 2023Determinants of Chinese Travellers’ Use of Mobile Payment Applications when Staying at an Overseas Hotel16 cited
    • 2022Provoking Actual Mobile Payment Use in the Middle East11 cited
    • 2024Foodtech in motion: innovation and digitalisation of the food service sector in the post-pandemic Spain10 cited