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Integration of Mobile Perceived Compatibility, Mobile Perceived Financial Resources, and Mobile Perceived System Quality with TAM in Virtual Hotel Operator Applications in Indonesia
16 references·1 citing·37 second hop
Integration of Mobile Perceived Compatibility, Mobile Perceived Financial Resources, and Mobile Perceived System Quality with TAM in Virtual Hotel Operator Applications in Indonesia (2020)Integration of Mobile Perceived Compatibi…Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM) (2019)Investigating the Acceptance …Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model (2018)Development of an adoption mo…Distinguishing the effects of B2B information quality, system quality, and service outcome quality on trust and distrust (2017)Distinguishing the effects of…Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model (2017)Analysis of the use of social…What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience (2016)What keeps the mobile hotel b…Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card (2016)Mobile technology acceptance …How system quality influences mobile BI use: The mediating role of engagement (2016)How system quality influences…Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2015)Developing a General Extended…A theoretical model of mobile augmented reality acceptance in urban heritage tourism (2015)A theoretical model of mobile…Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach (2013)Predicting the determinants o…Modeling users’ acceptance of mobile services (2012)Modeling users’ acceptance of…Understanding consumer acceptance of mobile payment services: An empirical analysis (2009)Understanding consumer accept…A model of consumer acceptance of mobile payment (2007)A model of consumer acceptanc…Analisis dan desain sistem informasi (2005)Analisis dan desain sistem in…Applied Business research: Qualitative and Quantitative Methods (2001)Applied Business research: Qu…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…The Impact of Interactive Mobile Applications on Guests’ Intention to Use in Hotel: The Moderating Role of Self-Construal (2022)The Impact of Interactive Mob…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Effects of Virtual Reality and Augmented Reality on Visitor Experiences in Museum (2016)An adoption framework for mobile augmented reality games: The case of Pokémon Go (2017)Value of augmented reality at cultural heritage sites: A stakeholder approach (2017)Diffusion of Innovations 1 (2019)Self-efficacy mechanism in human agency. (1982)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Structural equation modeling in practice: A review and recommended two-step approach. (1988)User Acceptance of Information Technology: Toward A Unified View1 (2003)Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014)The effects of convenience and speed in m-payment (2015)Developing a general extended UTAUT model for M-payment adoption (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)The theory of planned behavior (1991)Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach (2014)A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach (2022)A power primer. (1992)College students’ use and acceptance of emergency online learning due to COVID-19 (2020)Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic (2020)Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people (2021)Avoidance of Advertising in Social Networking Sites (2010)Do Board's Corporate Social Responsibility Strategy and Orientation Influence Environmental Sustainability Disclosure? UK Evidence (2017)Knowledge, Attitude and Practice Toward COVID-19 Among the Public in the Kingdom of Saudi Arabia: A Cross-Sectional Study (2020)Mobile banking adoption: A literature review (2014)Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)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)PERANCANGAN DATA FLOW DIAGRAM UNTUK SISTEM INFORMASI SEKOLAH (STUDI KASUS PADA SMA PEMBANGUNAN LABORATORIUM UNP) (2014)PERANCANGAN APLIKASI POINT OF SALES (POS) BERBASIS WEB MENGGUNAKAN METODE SIKLUS HIDUP PENGEMBANGAN SISTEM (2017)SISTEM INFORMASI PENJUALAN OLEH SALES MARKETING PADA PT ERLANGGA MAHAMERU (2020)Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic (2020)Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model (2021)Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model (2023)
this work references cited by second hop

References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2001Applied Business research: Qualitative and Quantitative Methods1,680 cited
  • 2009Understanding consumer acceptance of mobile payment services: An empirical analysis1,268 cited
  • 2005Analisis dan desain sistem informasi1,001 cited
  • 2015Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors986 cited
  • 2016Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card585 cited
  • 2007A model of consumer acceptance of mobile payment519 cited
  • 2015A theoretical model of mobile augmented reality acceptance in urban heritage tourism513 cited
  • 2019Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM)489 cited
  • 2013Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach484 cited
  • 2016What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience472 cited
  • 2012Modeling users’ acceptance of mobile services296 cited
  • 2017Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model278 cited

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2018
Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model
190 cited
  • 2017Distinguishing the effects of B2B information quality, system quality, and service outcome quality on trust and distrust176 cited
  • 2016How system quality influences mobile BI use: The mediating role of engagement89 cited
  • Cited by

    • 2022The Impact of Interactive Mobile Applications on Guests’ Intention to Use in Hotel: The Moderating Role of Self-Construal4 cited