SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Development of UTAUT-based augmented reality acceptance scale: a validity and reliability study
16 references·5 citing·36 second hop
Development of UTAUT-based augmented reality acceptance scale: a validity and reliability study (2023)Development of UTAUT-based augmented real…Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM) (2021)Measuring Students’ Use of Zo…Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model (2019)Adoption Intention of Fintech…Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Unified Theory of Acceptance …A meta‐analysis of the UTAUT model: Eleven years later (2016)A meta‐analysis of the UTAUT …Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices (2015)Bridging the divide: Using UT…Technology acceptance model: a literature review from 1986 to 2013 (2014)Technology acceptance model: …A First Course in Factor Analysis (2013)A First Course in Factor Anal…Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (2010)Modeling Citizen Satisfaction…Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Integrating TTF and UTAUT to …The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait (2008)The Use of the UTAUT Model in…Structural Equation Modelling: Guidelines for Determining Model Fit (2008)Structural Equation Modelling…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Structural equation modeling with AMOS: basic concepts, applications, and programming (2000)Structural equation modeling …Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Cutoff criteria for fit index…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…The Scientific Use of Factor Analysis in Behavioral and Life Sciences (1978)The Scientific Use of Factor …Will human-like features effect the adoption of generative AI tools? A study in Chinese University students (2025)Will human-like features effe…Understanding consumers’ willingness to accept digital exhibitions in the metaverse: evidence from China (2025)Understanding consumers’ will…Attributes of Virtual and Augmented Reality Tourism Mobile Applications Predicting Tourist Behavioral Engagement (2025)Attributes of Virtual and Aug…Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency (2024)Validating the AI-assisted se…Unveiling the Drivers of AI Integration Among Language Teachers: Integrating UTAUT and AI-TPACK (2024)Unveiling the Drivers of AI I…Comparative fit indexes in structural models. (1990)Principles and Practice of Structural Equation Modeling (1998)Job crafting and its relationships with person–job fit and meaningfulness: A three-wave study (2015)The Social Media Disorder Scale (2016)CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting (2021)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application (2013)Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education (2018)Technology acceptance model in educational context: A systematic literature review (2019)Trust in AI and Its Role in the Acceptance of AI Technologies (2022)Significance tests and goodness of fit in the analysis of covariance structures. (1980)Alternative Ways of Assessing Model Fit (1992)Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. (1998)Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures (2003)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Big Data Research in Information Systems: Toward an Inclusive Research Agenda (2016)The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2020)Adoption and use of AI tools: a research agenda grounded in UTAUT (2021)In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings (2004)Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007)Using PLS path modeling in new technology research: updated guidelines (2016)Multidimensional assessment of coping: A critical evaluation. (1990)Minimum Sample Size Recommendations for Conducting Factor Analyses (2005)Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General (2018)The MOS 36-Item Short-Form Health Survey (SF-36) (1993)Factor analysis in the development and refinement of clinical assessment instruments. (1995)Scale Development Research (2006)On the Evaluation of Structural Equation Models (1988)When to use and how to report the results of PLS-SEM (2018)
this work references cited by second hop

References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives108,592 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2000Structural equation modeling with AMOS: basic concepts, applications, and programming17,968 cited
  • 2008Structural Equation Modelling: Guidelines for Determining Model Fit8,744 cited
  • 2013A First Course in Factor Analysis4,527 cited
  • 2016Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead2,509 cited
  • 2014Technology acceptance model: a literature review from 1986 to 20132,457 cited
  • 1978The Scientific Use of Factor Analysis in Behavioral and Life Sciences2,165 cited
  • 2010Integrating TTF and UTAUT to explain mobile banking user adoption1,696 cited
  • 2019Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model576 cited
  • 2008The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait488 cited
  • 2021Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM)437 cited
  • 2010Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

358 cited
  • 2016A meta‐analysis of the UTAUT model: Eleven years later246 cited
  • 2015Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices240 cited
  • Cited by

    • 2024Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency46 cited
    • 2024Unveiling the Drivers of AI Integration Among Language Teachers: Integrating UTAUT and AI-TPACK27 cited
    • 2025Attributes of Virtual and Augmented Reality Tourism Mobile Applications Predicting Tourist Behavioral Engagement8 cited
    • 2025Understanding consumers’ willingness to accept digital exhibitions in the metaverse: evidence from China6 cited
    • 2025Will human-like features effect the adoption of generative AI tools? A study in Chinese University students5 cited