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Context matters: Analyzing the factors influencing artificial intelligence acceptance across five different applications
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Context matters: Analyzing the factors influencing artificial intelligence acceptance across five different applications (2025)Context matters: Analyzing the factors in…To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology (2023)To use or not to use ChatGPT …Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Connecting the dots in trustw…What factors contribute to the acceptance of artificial intelligence? A systematic review (2022)What factors contribute to th…Trust in AI and Its Role in the Acceptance of AI Technologies (2022)Trust in AI and Its Role in t…Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017)Re-examining the Unified Theo…Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015)Investigating the Importance …Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services (2010)Examining multi-dimensional t…Does the technology acceptance model predict actual use? A systematic literature review (2009)Does the technology acceptanc…Trust in Automation: Designing for Appropriate Reliance (2004)Trust in Automation: Designin…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Predicting e-services adoption: a perceived risk facets perspective (2003)Predicting e-services adoptio…Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Humans and Automation: Use, M…A Model of Perceived Risk and Intended Risk-Handling Activity (1994)A Model of Perceived Risk and…User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. (1977)Belief, Attitude, Intention a…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Understanding Attitudes and Predicting Social Behavior (1980)Self-efficacy mechanism in human agency. (1982)Judgment under Uncertainty: Heuristics and Biases (1974)Human Error (1990)A model for types and levels of human interaction with automation (2000)Trust in Automation (2014)Engineering Psychology and Human Performance (2015)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)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)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003)A meta-analysis of the technology acceptance model (2006)Technology acceptance model: a literature review from 1986 to 2013 (2014)Judgment under Uncertainty: Heuristics and Biases (1975)Judgment Under Uncertainty: Heuristics and Biases. (1984)Prospect theory: An analysis of decision under risk (1988)Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model (2004)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Introduction matters: Manipulating trust in automation and reliance in automated driving (2017)Psychosocial factors associated with intended use of automated vehicles: A simulated driving study (2018)What drives people to accept automated vehicles? Findings from a field experiment (2018)Advances in Social Media Research: Past, Present and Future (2017)Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA (2018)Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing (2021)Relationships Among Attitudes, Behavioral Intentions, and Behavior (1993)Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during Enhanced Community Quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned Behavior (2020)Revealing the theoretical basis of gamification: A systematic review and analysis of theory in research on gamification, serious games and game-based learning (2021)A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011)
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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2004Trust in Automation: Designing for Appropriate Reliance6,548 cited
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  • 2010Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services1,114 cited
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  • 2022Trust in AI and Its Role in the Acceptance of AI Technologies961 cited
  • 2009Does the technology acceptance model predict actual use? A systematic literature review

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  • 2023To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology801 cited
  • 2023Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation795 cited
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