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Proposing a model to test smartphone users' intention to use smart applications when ordering food in restaurants
16 references·16 citing·25 second hopsampled
Proposing a model to test smartphone users' intention to use smart applications when ordering food in restaurants (2014)Proposing a model to test smartphone user…mHealth for mental health: Integrating smartphone technology in behavioral healthcare. (2011)mHealth for mental health: In…Technology Acceptance among Physicians (2007)Technology Acceptance among P…Mobile computing acceptance factors in the healthcare industry: A structural equation model (2006)Mobile computing acceptance f…Value-based Adoption of Mobile Internet: An empirical investigation (2005)Value-based Adoption of Mobil…Mobile internet acceptance in Korea (2005)Mobile internet acceptance in…Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons (2005)Intentions to Use Mobile Serv…Toward an understanding of the behavioral intention to use mobile banking (2004)Toward an understanding of th…Why do people use information technology? A critical review of the technology acceptance model (2002)Why do people use information…Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Why Don’t Men Ever Stop to As…Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology (1999)Examining the Technology Acce…Are Individual Differences Germane to the Acceptance of New Information Technologies? (1999)Are Individual Differences Ge…Toward an Understanding of the Behavioral Intention to Use an Information System (1997)Toward an Understanding of th…Computer Self-Efficacy: Development of a Measure and Initial Test (1995)Computer Self-Efficacy: Devel…Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1 (1992)Extrinsic and Intrinsic Motiv…The theory of planned behavior (1991)The theory of planned behaviorUser Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications (2023)The role of blockchain-enable…Positive and negative valences, personal innovativeness and intention to use facial recognition for payments (2022)Positive and negative valence…Investigating Customer Behavior of Using Contactless Payment in China: A Comparative Study of Facial Recognition Payment and Mobile QR-Code Payment (2022)Investigating Customer Behavi…Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior (2021)Using Mobile Food Delivery Ap…Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation (2021)Factors Affecting Customer Sa…User Familiarity and Satisfaction With Food Delivery Mobile Apps (2020)User Familiarity and Satisfac…Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM) (2020)Understanding Factors Influen…Evaluating the customers' dining attitudes, e-satisfaction and continuance intention toward mobile food ordering apps (MFOAs): evidence from Bangladesh (2020)Evaluating the customers' din…Progress on technology use in tourism (2019)Progress on technology use in…Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy (2019)Extended expectation-confirma…Customers’ Expectation, Satisfaction, and Repurchase Intention of Used Products Online: Empirical Evidence From China (2019)Customers’ Expectation, Satis…Continuous Intention on Accommodation Apps: Integrated Value-Based Adoption and Expectation–Confirmation Model Analysis (2019)Continuous Intention on Accom…A comprehensive review of mobile technology use in hospitality and tourism (2018)A comprehensive review of mob…Factors influencing consumers’ attitude towards adoption and continuous use of mobile applications: a conceptual model (2017)Factors influencing consumers…Mobile application for the timeshare industry (2015)Mobile application for the ti…Shaping travelers’ attitude toward travel mobile applications (2014)Shaping travelers’ attitude t…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)Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior (2002)Understanding Attitudes and Predicting Social Behavior (1980)Self-efficacy mechanism in human agency. (1982)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation (2008)Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Coefficient Alpha and the Internal Structure of Tests (1951)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)The Technology Acceptance Model: Past, Present, and Future (2003)The Technology Acceptance Model: Its past and its future in health care (2009)Diffusion of Innovations 1 (2019)Prospect Theory: An Analysis of Decision under Risk (1979)User Acceptance of Information Technology: Toward A Unified View1 (2003)Why people use social networking sites: An empirical study integrating network externalities and motivation theory (2011)Factors influencing acceptance of technology for aging in place: A systematic review (2014)Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1 (2000)A meta-analysis of the technology acceptance model (2006)Understanding Information Technology Usage: A Test of Competing Models (1995)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)
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References

  • 1991The theory of planned behavior90,729 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 1995Computer Self-Efficacy: Development of a Measure and Initial Test6,414 cited
  • 1992Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 16,231 cited
  • 2000Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior14,353 cited
  • 2002Why do people use information technology? A critical review of the technology acceptance model4,200 cited
  • 1999Are Individual Differences Germane to the Acceptance of New Information Technologies?2,105 cited
  • 2005Value-based Adoption of Mobile Internet: An empirical investigation2,084 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,963 cited
  • 1999Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology1,949 cited
  • 2005Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons1,292 cited
  • 2011mHealth for mental health: Integrating smartphone technology in behavioral healthcare.809 cited
  • 1997Toward an Understanding of the Behavioral Intention to Use an Information System754 cited
  • 2006Mobile computing acceptance factors in the healthcare industry: A structural equation model

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602 cited
  • 2005Mobile internet acceptance in Korea589 cited
  • 2007Technology Acceptance among Physicians482 cited
  • Cited by

    • 2021Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation289 cited
    • 2018A comprehensive review of mobile technology use in hospitality and tourism254 cited
    • 2019Customers’ Expectation, Satisfaction, and Repurchase Intention of Used Products Online: Empirical Evidence From China153 cited
    • 2021Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior145 cited
    • 2019Continuous Intention on Accommodation Apps: Integrated Value-Based Adoption and Expectation–Confirmation Model Analysis131 cited
    • 2020Evaluating the customers' dining attitudes, e-satisfaction and continuance intention toward mobile food ordering apps (MFOAs): evidence from Bangladesh124 cited
    • 2020Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM)120 cited
    • 2023The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications115 cited
    • 2019Progress on technology use in tourism105 cited
    • 2015Mobile application for the timeshare industry95 cited
    • 2017Factors influencing consumers’ attitude towards adoption and continuous use of mobile applications: a conceptual model90 cited
    • 2019Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy75 cited
    • 2020User Familiarity and Satisfaction With Food Delivery Mobile Apps75 cited
    • 2014Shaping travelers’ attitude toward travel mobile applications75 cited
    • 2022Investigating Customer Behavior of Using Contactless Payment in China: A Comparative Study of Facial Recognition Payment and Mobile QR-Code Payment73 cited
    • 2022Positive and negative valences, personal innovativeness and intention to use facial recognition for payments72 cited