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Antecedents and Consequences of the Ease of Use and Usefulness of Fast Food Kiosks Using the Technology Acceptance Model
16 references·0 citing·43 second hop
Antecedents and Consequences of the Ease of Use and Usefulness of Fast Food Kiosks Using the Technology Acceptance Model (2022)Antecedents and Consequences of the Ease …The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior (2021)The role of cognitive and aff…The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural intention towards ‘untact’ tourism in South Korea during the first wave of the pandemic (March 2020) (2020)The effect of coronavirus dis…Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications (2019)Examining an extended technol…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…Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model (2018)Development of an adoption mo…Mobile payments adoption by US consumers: an extended TAM (2017)Mobile payments adoption by U…Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card (2016)Mobile technology acceptance …Evaluating Electronic Commerce Acceptance with the Technology Acceptance Model (2016)Evaluating Electronic Commerc…A computational literature review of the technology acceptance model (2016)A computational literature re…Travelers' behavioral intention toward hotel self-service kiosks usage (2013)Travelers' behavioral intenti…An empirical examination of factors influencing the intention to use mobile payment (2009)An empirical examination of f…Measuring Service Quality in E-Retailing (2006)Measuring Service Quality in …It's all about attitude: revisiting the technology acceptance model (2003)It's all about attitude: revi…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Service failure and loyalty: an exploratory empirical study of airline customers (1998)Service failure and loyalty: …Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Developing Buyer-Seller Relationships (1987)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The Commitment-Trust Theory of Relationship Marketing (1994)Modeling Roles of Service Recovery Strategy: A Relationship-Focused View (2005)Why service recovery fails (2009)Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry (2010)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)An empirical examination of continuance intention of mobile payment services (2012)Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Understanding Attitudes and Predicting Social Behavior (1980)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model (2010)Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust (2016)An empirical validation of a unified model of electronic government adoption (UMEGA) (2017)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)Advancing formative measurement models (2008)A review of twenty years of SERVQUAL research (2009)Determinants of customer repurchase intention in online shopping (2009)Self-Efficacy: The Exercise of Control (1999)Examining the role of anxiety and social influence in multi-benefits of mobile payment service (2018)Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach (2018)The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model (2020)From Intentions to Actions: A Theory of Planned Behavior (1985)Principles and Practice of Structural Equation Modeling (2012)Impact of the perceived risk from Covid-19 on intention to travel (2020)Demystifying the effects of perceived risk and fear on customer engagement, co-creation and revisit intention during COVID-19: A protection motivation theory approach (2021)Monitoring the impacts of tourism-based social media, risk perception and fear on tourist’s attitude and revisiting behaviour in the wake of COVID-19 pandemic (2021)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)When to use and how to report the results of PLS-SEM (2018)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach (2017)Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach (2019)Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products (2019)Impulse buying: A systematic literature review and future research directions (2022)Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms (2022)How do e-commerce anchors' characteristics influence consumers’ impulse buying? 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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 2009An empirical examination of factors influencing the intention to use mobile payment1,327 cited
  • 2006Measuring Service Quality in E-Retailing1,056 cited
  • 2020The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural intention towards ‘untact’ tourism in South Korea during the first wave of the pandemic (March 2020)743 cited
  • 2016Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card585 cited
  • 2003It's all about attitude: revisiting the technology acceptance model578 cited
  • 2017Mobile payments adoption by US consumers: an extended TAM309 cited
  • 2021The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior288 cited
  • 1998Service failure and loyalty: an exploratory empirical study of airline customers265 cited
  • 2019Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory258 cited
  • 2013Travelers' behavioral intention toward hotel self-service kiosks usage250 cited
  • 2018Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model

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190 cited
  • 2016A computational literature review of the technology acceptance model189 cited
  • 2019Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications184 cited
  • 2016Evaluating Electronic Commerce Acceptance with the Technology Acceptance Model164 cited
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