User acceptance of information technology: system characteristics, user perceptions and behavioral impacts

Understanding information technology usage: a test of competing models

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Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda

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Technology Acceptance Model 3 and a Research Agenda on Interventions

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Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

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Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1

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Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1

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Hedonic and utilitarian motivations for online retail shopping behavior

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Technology acceptance model: a literature review from 1986 to 2013

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Examining the technology acceptance model using physician acceptance of telemedicine technology

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Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: when to choose it and how to use it

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A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies

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A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research

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Modelling technology acceptance in education: A study of pre-service teachers

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Factors influencing teachers’ intention to use technology: Model development and test

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Empirical examination of the adoption of WebCT using TAM

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Development of the Telehealth Usability Questionnaire (TUQ)

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The Technology Acceptance Model: A Meta-Analysis of Empirical Findings

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Technology acceptance: a meta‐analysis of the TAM: Part 1

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Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers’ Technology Acceptance

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Toward Preprototype User Acceptance Testing of New Information Systems: Implications for Software Project Management

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It's all about attitude: revisiting the technology acceptance model

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Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology

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IT-adoption and the interaction of task, technology and individuals: a fit framework and a case study

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Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

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Accepting financial transactions using blockchain technology and cryptocurrency: a customer perspective approach

Albayati, H., Kim, S. K., & Rho, J. J. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101320 · Cited by 464

Augmented Reality and Gamification in Education: A Systematic Literature Review of Research, Applications, and Empirical Studies

Lampropoulos, G., Keramopoulos, E., Diamantaras, K., & Evangelidis, G. (2022) · Applied Sciences · doi:10.3390/app12136809 · Cited by 462

What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model

Singh, S., Sahni, M. M., & Kovid, R. K. (2020) · Management Decision · doi:10.1108/md-09-2019-1318 · Cited by 433

Gender differences in searching for health information on the internet and the virtual patient-physician relationship in Germany: exploratory results on how men and women differ and why

Bidmon, S., & Terlutter, R. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4127 · Cited by 389

Determining causes and severity of end-user frustration

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Beyond usability: Designing effective technology implementation systems to promote patient safety

Karsh, B.-T. (2004) · Quality and Safety in Health Care · doi:10.1136/qshc.2004.010322 · Cited by 414

Effect of brand familiarity, experience and information on online apparel purchase

Park, J., & Stoel, L. (2005) · International Journal of Retail & Distribution Management · doi:10.1108/09590550510581476 · Cited by 348

Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)

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User engagement in mental health apps: A review of measurement, reporting, and validity

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The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context1

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What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT

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A review and a framework of handheld computer adoption in healthcare

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Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment

Cho, Y. C., & Sagynov, E. (2015) · International Journal of Management & Information Systems (IJMIS) · doi:10.19030/ijmis.v19i1.9086 · Cited by 313

Conversational commerce: entering the next stage of AI-powered digital assistants

Balakrishnan, J., & Dwivedi, Y. K. (2024) · Annals of Operations Research · doi:10.1007/s10479-021-04049-5 · Cited by 301

My Teacher Is a Machine: Understanding Students’ Perceptions of AI Teaching Assistants in Online Education

Kim, J., Merrill, K., Xu, K., & Sellnow, D. D. (2020) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1801227 · Cited by 288

Social media addiction: What is the role of content in YouTube?

Balakrishnan, J., & Griffiths, M. D. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.058 · Cited by 266

Health Care Provider Adoption of eHealth: Systematic Literature Review

Li, J., Talaei-Khoei, A., Seale, H., Ray, P., & MacIntyre, C. R. (2013) · interactive Journal of Medical Research · doi:10.2196/ijmr.2468 · Cited by 250

Predicting e‐procurement adoption in a developing country: An empirical integration of technology acceptance model and theory of planned behaviour

Gamal Aboelmaged, M. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011030042 · Cited by 240

Exploring consumers’ intention to accept smartwatch

Wu, L.-H., Wu, L.-C., & Chang, S.-C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.005 · Cited by 226

Developing electronic health record (EHR) strategies related to health center patients’ social determinants of health

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Grounding a new information technology implementation framework in behavioral science: a systematic analysis of the literature on IT use

Kukafka, R., Johnson, S. B., Linfante, A., & Allegrante, J. P. (2003) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2003.09.002 · Cited by 206

A cross-national investigation of an extended technology acceptance model in the online shopping context

Tong, X. (2010) · International Journal of Retail & Distribution Management · doi:10.1108/09590551011076524 · Cited by 196

Organizational factors affecting successful adoption of innovative eHealth services: A case study employing the FITT framework

TSIKNAKIS, M., & KOUROUBALI, A. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.07.001 · Cited by 167

Is Trust Important in Technology Adoption? A Policy Capturing Approach

Bahmanziari, T., Pearson, J. M., & Crosby, L. (2003) · Journal of Computer Information Systems · doi:10.1080/08874417.2003.11647533 · Cited by 162

Persuasiveness of expert systems

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Enterprise resource planning adoption and satisfaction determinants

Costa, C. J., Ferreira, E., Bento, F., & Aparicio, M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.090 · Cited by 161

An Evaluation of Gamified Training: Using Narrative to Improve Reactions and Learning

Armstrong, M. B., & Landers, R. N. (2017) · Simulation & Gaming · doi:10.1177/1046878117703749 · Cited by 158

Theory of user acceptance of information technologies: an examination of health care professionals

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Adoption and Use of Computer-Based Voice Over Internet Protocol Phone Service: Toward an Integrated Model

Park, N. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2009.01440.x · Cited by 141

ICT Applications as E-Health Solutions in Rural Healthcare in the Eastern Cape Province of South Africa

Ruxwana, N. L., Herselman, M. E., & Conradie, D. P. (2010) · Health Information Management Journal · doi:10.1177/183335831003900104 · Cited by 137

Attitudinal and Intentional Acceptance of Domestic Robots by Younger and Older Adults

Ezer, N., Fisk, A. D., & Rogers, W. A. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-02710-9_5 · Cited by 134

Predictors of E-Learning Satisfaction in Teaching and Learning for School Teachers: A Literature Review

Teacher Training Institute, M., Cheok, M. L., Wong, S. L., & Faculty of Educational Studies, U. P. M. (2015) · International Journal of Instruction · doi:10.12973/iji.2015.816a · Cited by 127

Applying the technology acceptance model to explore public health nurses’ intentions towards web-based learning: a cross-sectional questionnaire survey

Chen, I. J., Yang, K.-F., Tang, F.-I., Huang, C.-H., & Yu, S. (2008) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2006.11.011 · Cited by 124

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

Rosli, M. S., Saleh, N. S., Md. Ali, A., Abu Bakar, S., & Mohd Tahir, L. (2022) · Sustainability · doi:10.3390/su141811389 · Cited by 126

Absorbed in technology but digitally overloaded: Interplay effects on gig workers’ burnout and creativity

Bunjak, A., Černe, M., & Popovič, A. (2021) · Information & Management · doi:10.1016/j.im.2021.103533 · Cited by 127

First Impressions in Human--Agent Virtual Encounters

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Psychometric properties of implementation measures for public health and community settings and mapping of constructs against the Consolidated Framework for Implementation Research: a systematic review

Clinton-McHarg, T., Yoong, S. L., Tzelepis, F., Regan, T., Fielding, A., Skelton, E., Kingsland, M., Ooi, J. Y., & Wolfenden, L. (2016) · Implementation Science · doi:10.1186/s13012-016-0512-5 · Cited by 116

Measuring technology self efficacy: reliability and construct validity of a modified computer self efficacy scale in a clinical rehabilitation setting

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Predicting Student-Perceived Learning Outcomes and Satisfaction in ERP Courses: An Empirical Investigation

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Clinical acceptance of a low-cost portable system for postural assessment

Van Schaik, P., Bettany-Saltikov, J. A., & Warren, J. G. (2002) · Behaviour & Information Technology · doi:10.1080/01449290110107236 · Cited by 93

Integrating Augmented Reality, Gamification, and Serious Games in Computer Science Education

Lampropoulos, G., Keramopoulos, E., Diamantaras, K., & Evangelidis, G. (2023) · Education Sciences · doi:10.3390/educsci13060618 · Cited by 94

A model of user adoption of interface agents for email notification

Serenko, A. (2008) · Interacting with Computers · doi:10.1016/j.intcom.2008.04.004 · Cited by 92

Understanding applicants’ reactions to gamified recruitment

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How product and process knowledge enable consumer switching to remanufactured laptop computers in circular economy

Wang, Y., Zhu, Q., Krikke, H., & Hazen, B. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120275 · Cited by 89

Why continue sharing: Determinants of behavior in ridesharing services

Arteaga-Sánchez, R., Belda-Ruiz, M., Ros-Galvez, A., & Rosa-Garcia, A. (2020) · International Journal of Market Research · doi:10.1177/1470785318805300 · Cited by 84

Comparing Response Time, Errors, and Satisfaction Between Text-based and Graphical User Interfaces During Nursing Order Tasks

Staggers, N., & Kobus, D. (2000) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2000.0070164 · Cited by 72

Priorities, policies and practice of e-government in a developing country context: ICT infrastructure and diffusion in Jamaica

Brown, D. H., & Thompson, S. (2011) · European Journal of Information Systems · doi:10.1057/ejis.2011.3 · Cited by 73

Digital wellbeing tools through users lens

Almourad, M. B., Alrobai, A., Skinner, T., Hussain, M., & Ali, R. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101778 · Cited by 69

Addressing Mental Health Epidemic Among University Students via Web-based, Self-Screening, and Referral System: A Preliminary Study

Kim, E.-H., Coumar, A., Lober, W. B., & Kim, Y. (2011) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2107561 · Cited by 65

Round or square? How screen shape affects utilitarian and hedonic motivations for smartwatch adoption

Kim, K. J. (2016) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0136 · Cited by 60

Acceptability of ATM and Transit Applications Embedded in Multipurpose Smart Identity Card: An Exploratory Study in Malaysia

Yeow, P. H. P., & Loo, W. H. (2009) · International Journal of Electronic Government Research · doi:10.4018/jegr.2009040103 · Cited by 53

The Influence of Trustworthiness and Technology Acceptance Factors on the Usage of e-Government Services during COVID-19: A Case Study of Post COVID-19 Greece

Balaskas, S., Panagiotarou, A., & Rigou, M. (2022) · Administrative Sciences · doi:10.3390/admsci12040129 · Cited by 51

Exploring the Perceptions and Continuance Intention of AI-Based Text-to-Image Technology in Supporting Design Ideation

Liu, Y.-L. E., & Huang, Y.-M. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2311975 · Cited by 47

The moderating effect of hospital size on inter and intra-organizational factors of Hospital Information System adoption

Ahmadi, H., Nilashi, M., Shahmoradi, L., Ibrahim, O., Sadoughi, F., Alizadeh, M., & Alizadeh, A. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.05.021 · Cited by 47

User acceptance of inter-organizational electronic medical records

Handy, J., Hunter, I., & Whiddett, R. (2001) · Health Informatics Journal · doi:10.1177/146045820100700208 · Cited by 39

Telephone‐based CBT and the therapeutic relationship: The views and experiences of IAPT practitioners in a low‐intensity service

Turner, J., Brown, J. C., & Carpenter, D. T. (2018) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.12440 · Cited by 37

Effect of teachers’ TPACK on their behavioral intention to use technology: chain mediating effect of technology self-efficacy and attitude toward use

Bai, X., Guo, R., & Gu, X. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12343-x · Cited by 36

The acceptance of a computerised decision-support system in primary care: a preliminary investigation

Van Schaik, P., Flynn, D., Van Wersch, A., Douglass, A., & Cann, P. (2004) · Behaviour & Information Technology · doi:10.1080/0144929041000669941 · Cited by 32

Modeling the Determinants Affecting Consumers’ Acceptance and Use of Information and Communications Technology

Alwahaishi, S., & Snášel, V. (2013) · International Journal of E-Adoption · doi:10.4018/jea.2013040103 · Cited by 28

Variations in the Use of mHealth Tools: The VA Mobile Health Study

Frisbee, K. L. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3726 · Cited by 25

Analysis of Explanatory and Predictive Architectures and the Relevance in Explaining the Adoption of IT in SMEs

Ukoha, O., Okorie Awa, H., A. Nwuche, C., & Asiegbu, I. (2011) · Interdisciplinary Journal of Information, Knowledge, and Management · doi:10.28945/1431 · Cited by 20

Customer adoption of Neobank services from a technology acceptance perspective–evidence from Hungary

Faculty of Economics, U. O. M., Nagy, S., Molnár, L., Faculty of Economics, U. O. M., Papp, A., & Faculty of Economics, U. O. M. (2023) · Decision Making: Applications in Management and Engineering · doi:10.31181/dmame712024883 · Cited by 19

Acceptance of Information and Communication Technologies in Education: An Investigation Into University Students' Intentions to Use Mobile Educational Apps

Sun, S., Xiong, C., & Chang, V. (2019) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2019010102 · Cited by 11

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study

El-Sobkey, S. B., Kelini, K. I., ElKholy, M., Abdeldayem, T., Abdallah, M., Mohamed, D. A.-A., Fawzy, A., Ahmed, Y. F., El Khatib, A., Khalid, H., et al. (2025) · JMIR Medical Education · doi:10.2196/76574 · Cited by 11

Using beta-version mHealth technology for team-based care management to support stroke prevention: an assessment of utility and challenges

Ramirez, M., Wu, S., Ryan, G., Towfighi, A., & Vickrey, B. G. (2017) · JMIR Research Protocols · doi:10.2196/resprot.7106 · Cited by 9

Unveiling the Future of FinTech: Exploring the Behavioral Intentions Behind FinTech Adoption

Kurucz, A., Vinkóczi, T., Tamás, B., & Idziak, E. (2025) · Journal of Risk and Financial Management · doi:10.3390/jrfm18100546 · Cited by 9

Cheating in the second year of generative AI chatbots: a follow-up study on high school student cheating behaviors

Chen, R., Lee, V. R., Kuo, A. C., Pope, D. C., & Miles, S. (2026) · Educational technology research and development · doi:10.1007/s11423-026-10587-1 · Cited by 8

Effect of Technology Acceptance Model and Internet Usage Factory to Financial Literacy of Active User of Financial Technology Application Among Millennial Generation: English

Marsha Sarengat, L., & Mahadwartha, P. A. (2021) · Business and Finance Journal · doi:10.33086/bfj.v6i2.2164 · Cited by 2