Cited by 1,139Technology Adoption and User BehaviourInformation Systems Theories and ImplementationTechnology Use by Older Adults

The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.

Understanding information technology acceptance by individual professionals: Toward an integrative view

Yi, Mun Y., Jackson, Joyce D., Park, Jae S., Probst, Janice C.·2006·Information & Management

DOI 10.1016/j.im.2005.08.006

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.im.2005.08.006

Cites

60 of 60 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Diffusion of Innovations 1
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Untitled work
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Untitled work
(1980) · Medical Entomology and Zoology · Cited by 25,810
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Social Learning Theory
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066

Show all 61 references

Sorted by citations

Items 401–500 of 1,000

Adoption of Technology Applications in Healthcare: The Influence of Attitude toward Knowledge Sharing on Technology Acceptance in a Hospital
Esmaeilzadeh, P., Sambasivan, M., Kumar, N., & Nezakhati, H. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-27210-3_3 · Cited by 27
A cross-sectional investigation of acceptance of health information technology: A nationwide survey of community pharmacists in Turkey
Sezgın, E., & Özkan, S. (2015) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2015.12.006 · Cited by 27
Factors for the Acceptance of Enterprise Resource Planning (ERP) Systems and Financial Performance
Bazhair, A. H., & Sandhu, K. (2013) · Journal of Economics Business and Management · doi:10.7763/joebm.2015.v3.146 · Cited by 27
Testing the Technology Acceptance Model 3 (TAM 3) with the Inclusion of Change Fatigue and Overload, in the Context of Faculty from Seventh-day Adventist Universities: A Revised Model
Jeffrey, D. A. (2015) · doi:10.32597/dissertations/1581 · Cited by 27
The Determinants of Smart Government Systems Adoption by Public Sector Organizations in Saudi Arabia
Alajmi, M. N., Mohammadian, M., & Talukder, M. (2022) · Heliyon · doi:10.1016/j.heliyon.2023.e20394 · Cited by 43
Threshold effects of ICT access and usage in Burkinabe and Ghanaian households
Karakara, A. A., & Osabuohien, E. S. C. (2021) · Information Technology for Development · doi:10.1080/02681102.2021.1971148 · Cited by 26
Introducing the Front-Of-Pack Acceptance Model: the role of usefulness and ease of use in European consumers’ acceptance of Front-Of-Pack Labels
Mazzù, M. F., Romani, S., Baccelloni, A., & Lavini, L. (2021) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2021.1980866 · Cited by 27
Effect of Personal Innovativeness, Attachment Motivation and Social Norms on the Acceptance of Camera Mobile Phones
Rouibah, K., & Abbas, H. R. (2011) · International Journal of Handheld Computing Research · doi:10.4018/jhcr.2011010105 · Cited by 26
Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles
Seuwou, P., Banissi, E. K., Ubakanma, G., Sharif, M. S., & Healey, A. (2016) · Communications in computer and information science · doi:10.1007/978-3-319-51064-4_24 · Cited by 26
Exploring influencing factors of technology use for active and healthy ageing support in older adults
Vaziri, D. D., Giannouli, E., Frisiello, A., Kaartinen, N., Wieching, R., Schreiber, D., & Wulf, V. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1637457 · Cited by 26
Adoption of video consultations during the COVID-19 pandemic
Pereira, F. V., Tavares, J., & Oliveira, T. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100602 · Cited by 29
From Technology Adaptation to Technology Adoption: An Insight into Public Islamic School Administrative Management
Huda, M., Rohim, M. A., Hehsan, A., Qodriah, S. L., Junaidi, J., Haron, Z., Yusof, F. M., Abu–Hussin, M. F., & Abas, H. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-3305-7_5 · Cited by 25
The effect of organizational and individual characteristics on corporate intranet utilizations
Masrek, M. N., Karim, N. S. A., & Hussein, R. (2008) · Information Management & Computer Security · doi:10.1108/09685220810879591 · Cited by 26
Exploring teachers’ attitudes toward implementing new ICT educational policies
Hong, J., Hwang, M., Tsai, C.-M., Liu, M.-C., & Lee, Y. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1752740 · Cited by 25
Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care
Jeong, J., Kim, Y., & Roh, T. (2021) · SAGE Open · doi:10.1177/21582440211040070 · Cited by 25
Understanding the Determinants of Customer Intention to Use Mobile Payment
Changchit, C., Changchit, C., Cutshall, R., Pham, L. K., & Rao, M. P. (2023) · Journal of Global Information Management · doi:10.4018/jgim.319740 · Cited by 25
Why do people use fitness tracking devices in Thailand? An integrated model approach
Naglis, M., & Bhatiasevi, V. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101146 · Cited by 25
A Modified Technology Acceptance Model for Camera Mobile Phone Adoption: Development and validation
Rouibah, K., & Abbas, H. A. (2006) · Journal of the Association for Information Systems · Cited by 25
Public grid computing participation: An exploratory study of determinants
Taylor, N. J. (2006) · Information & Management · doi:10.1016/j.im.2006.05.004 · Cited by 26
Like, comment and share: examining the effect of firm-created content and user-generated content on consumer engagement
Ibrahim, B., Aljarah, A., Hayat, D. T., & Lahuerta-Otero, E. (2022) · Leisure/Loisir · doi:10.1080/14927713.2022.2054458 · Cited by 38
User Behavioral Intention Toward Using Mobile Healthcare System
Keikhosrokiani, P., Mustaffa, N., Zakaria, N., & Baharudin, A. S. (2018) · IGI Global eBooks · doi:10.4018/978-1-5225-6198-9.ch022 · Cited by 24
CHATBOTS IN THE WORKPLACE: A TECHNOLOGY ACCEPTANCE STUDY APPLYING USES AND GRATIFICATIONS IN COWORKING SPACES
Kopplin, C. S. (2022) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2023.2215666 · Cited by 26
Can electric buses entice more public transport use? Empirical evidence from Vietnam
Nguyen, M. H., & Pojani, D. (2023) · Case Studies on Transport Policy · doi:10.1016/j.cstp.2023.101040 · Cited by 28
Customer Relationship Management (CRM) Practices by Small Businesses in Developing Economies
El-Gohary, H. O., Edwards, D. J., & Huang, J. (2013) · International Journal of Customer Relationship Marketing and Management · doi:10.4018/jcrmm.2013040101 · Cited by 24
Intention-Based Models: The Theory of Planned Behavior Within the Context of IS
Al-Lozi, E. M., & Papazafeiropoulou, A. (2011) · Integrated series on information systems/Integrated series in information systems · doi:10.1007/978-1-4419-9707-4_12 · Cited by 24
Depression care services and telehealth technology use for homebound elderly in the United States
Kim, E. H., Gellis, Z. D., Bradway, C. K., & Kenaley, B. L. D. (2018) · Aging & Mental Health · doi:10.1080/13607863.2018.1481925 · Cited by 24
Role of recommendation sizes and travel involvement in evaluating travel destination recommendation services: comparison between artificial intelligence and travel experts
Jang, W., Kim, S., Chun, J. W., Jung, A., & Kim, H. (2023) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-01-2022-0013 · Cited by 26
Open source software: The effects of training on acceptance
Gallego, M. D., Bueno, S., Montes, F. J. R., & Noyes, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.029 · Cited by 23
An investigation of the intention to share media files over peer-to-peer networks
Blake, R. H., & Kyper, E. (2011) · Behaviour and Information Technology · doi:10.1080/0144929x.2011.558591 · Cited by 23
An Empirical Study of Computer Self-Efficacy and the Technology Acceptance Model in the Military
Levy, Y. M., & Green, B. D. (2009) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2009070101 · Cited by 23
Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM)
Seuwou, P., Chrysoulas, C., Banissi, E. K., & Ubakanma, G. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-45688-7_51 · Cited by 23
The influence of peer beliefs on nurses' use of new health information technology: A social network analysis
Yuan, C. T., Nembhard, I. M., & Kane, G. C. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113002 · Cited by 23
Physician Adoption of Personal Digital Assistants (PDA): Testing Its Determinants Within a Structural Equation Model
Vishwanath, A., Brodsky, L. S., & Shaha, S. H. (2009) · Journal of Health Communication · doi:10.1080/10810730802592270 · Cited by 24
Unravelling technology-acceptance factors influencing farmer use of banana tissue culture planting materials in Central Uganda
Mulugo, L. A., Kyazze, F. B., Kibwika, P., Kikulwe, E., Omondi, A. B., & Ajambo, S. (2019) · African Journal of Science Technology Innovation and Development · doi:10.1080/20421338.2019.1634900 · Cited by 23
ICT enabled Almajiri education in Nigeria: Challenges and prospects
Fahm, A. O., Azeez, A. L., Imam-Fulani, Y. O., Mejabi, O. V., Faruk, N., Abdulrahaman, M. D., Olawoyin, L. A., Oloyede, A. A., & Surajudeen-Bakinde, N. T. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10490-7 · Cited by 30
Reason and reaction: the dual route of the decision-making process on Facebook fan pages
Manthiou, A., Tang, L. R., & Bosselman, R. H. (2014) · Electronic Markets · doi:10.1007/s12525-014-0156-8 · Cited by 26
Going public against institutional constraints? Analyzing the online presence intensity of 2014 European Parliament election candidates
Rodríguez, J. L., & Madariaga, A. G. (2015) · European Union Politics · doi:10.1177/1465116515618252 · Cited by 23
Health information technology usability evaluation: methods, models, and measures
Yen, P. (n.d.) · ProQuest Demo Repository · Cited by 24
User perceptions of information quality in world wide web information retrieval behaviour
Knight, S.-A. (2007) · Australasian Journal of Paramedicine · Cited by 22
Acceptance of Health Information TechnologyIn Health Professionals: An Application of TheRevised Technology Acceptance ModelPreprint
Ketikidis, P. H., Dimitrovski, T., Bath, P. A., & Lazuras, L. (2011) · SSRN Electronic Journal · Cited by 23
Cognitive bias and decision aid use under stressful conditions
Phillips-Wren, G., Jefferson, T., & McKniff, S. (2019) · Journal of Decision Systems · doi:10.1080/12460125.2019.1643695 · Cited by 22
Consolidating the theoretical foundations of digital human resource management acceptance and use research: a meta-analytic validation of UTAUT
Theres, C., & Strohmeier, S. (2023) · Management Review Quarterly · doi:10.1007/s11301-023-00367-z · Cited by 28
Organisational mindfulness as a sustainable driver of employee innovation adoption: Individual and organisational factors
Oeij, P. R. A., Hulsegge, G., & Preenen, P. (2022) · Safety Science · doi:10.1016/j.ssci.2022.105841 · Cited by 29
Beyond technology acceptance to effective technology use: a parsimonious and actionable model
Holahan, P. J., Lesselroth, B., Adams, K. A., Wang, K., & Church, V. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocu043 · Cited by 22
Cash, credit card, or mobile? Examining customer payment preferences at chain restaurants in Taiwan
Chen, C.-C. B., Chen, H. S., & Wang, Y. (2021) · Journal of Foodservice Business Research · doi:10.1080/15378020.2021.1934251 · Cited by 22
Situational Effects on the Usage Intention of Mobile Games
Liang, T., & Yeh, Y. (2009) · Lecture notes in business information processing · doi:10.1007/978-3-642-01256-3_5 · Cited by 22
Information technology acceptance in the Finnish social and healthcare sector: exploring the effects of cultural factors
Raitoharju, R. (2014) · UTUPub (University of Turku) · Cited by 22
Technology Adoption Theories and Models
Khan, R., & Qudrat-Ullah, H. (2020) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-030-50112-9_5 · Cited by 17
Factors Affecting General Practitioners’ Readiness to Accept and Use an Electronic Health Record System in the Republic of North Macedonia: A National Survey of General Practitioners
Dimitrovski, T., Bath, P. A., Ketikidis, P. H., & Lazuras, L. (2021) · JMIR Medical Informatics · doi:10.2196/21109 · Cited by 21
The Acceptance and Use of Video Conferencing for Teaching in Covid-19 Pandemic: An Empirical Study in Vietnam
Nguyen, K. T., & Nguyen, T. H. T. (2021) · AsiaCALL Online Journal · Cited by 21
Study of the Factors Affecting the Intention to Adopt and Recommend Technology to Others: Based on the Unified Theory of Acceptance and Use of Technology (UTAUT)
Kimiagari, S., Balef, E. K., & Malafe, N. S. A. (2022) · Developments in marketing science: proceedings of the Academy of Marketing Science · doi:10.1007/978-3-030-95346-1_101 · Cited by 21
Passive resistance to health information technology implementation: the case of electronic medication management system
Kim, E. D., Kuan, K. K. Y., Vaghasiya, M. R., Penm, J. H.-D., Gunja, N., Amrani, R. E., & Poon, S. K.-S. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2117081 · Cited by 26
Understanding the Intention to Use Mental Health Chatbots Among LGBTQIA+ Individuals: Testing and Extending the UTAUT
Henkel, T., Linn, A. J., & van der Goot, M. J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25581-6_6 · Cited by 22
Understanding the acceptance of mobile health services: A service participants analysis
Guo, X., Yuan, J., Cao, X., & Chen, X.-D. (2012) · International Conference on Management Science and Engineering (ICMSE) · doi:10.1109/icmse.2012.6414426 · Cited by 21
Examining effective factors in initial acceptance of high-tech localized technologies: Xamin, Iranian localized operating system
Saghafi, F., Moghaddam, E. N., & Aslani, A. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.04.010 · Cited by 22
Factors comprehensively influencing acceptance of 3D-printed apparel
Perry, A. L. (2017) · Journal of Fashion Marketing and Management · doi:10.1108/jfmm-03-2016-0028 · Cited by 21
Analysing the diffusion and adoption of mobile IT across social worlds
Nielsen, J. A., & Mengiste, S. A. (2014) · Health Informatics Journal · doi:10.1177/1460458213481688 · Cited by 21
The role of theories in social marketing in predicting physical activity behavior among the youth
Tweneboah‐Koduah, E. Y., Adams, M., & Acheampong, G. (2019) · Journal of Social Marketing · doi:10.1108/jsocm-01-2018-0005 · Cited by 21
Examining drivers of NFT purchase intention: The impact of perceived scarcity and risk
Chang, C.-W., Lai, C.-J., & Yen, C.-C. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104424 · Cited by 32
Healthcare Professionals’ Acceptance of Digital Cognitive Rehabilitation
van der Ham, I. J. M., van der Vaart, R., Miedema, A., Visser‐Meily, J. M. A., & van der Kuil, M. N. A. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.617886 · Cited by 20
Smart Building Management System (SBMS) for Commercial Buildings—Key Attributes and Usage Intentions from Building Professionals’ Perspective
Lam, K. H., To, W. M., & Lee, P. K. C. (2022) · Sustainability · doi:10.3390/su15010080 · Cited by 26
Consumers’ digital self-extension and pro-brand social media engagement – the role of culture
Rabbanee, F. K., Roy, R., Roy, S. K., & Sobh, R. (2023) · European Journal of Marketing · doi:10.1108/ejm-01-2022-0074 · Cited by 22
Testing the Electronic Personal Health Record Acceptance Model by Nurses for Managing Their Own Health
Trinkoff, A. M., Storr, C. L., Wilson, M. L., Gürses, A. P., & Gartrell, K. (2015) · Applied Clinical Informatics · doi:10.4338/aci-2014-11-ra-0107 · Cited by 20
Looking inside the “it Black Box”: Technological Effects on it Usage
Sun, Y., & Bhattacherjee, A. (2014) · Journal of Computer Information Systems · doi:10.1080/08874417.2014.11645681 · Cited by 21
Examining the antecedents of Facebook acceptance via structural equation modeling: A case of CEGEP students
Doleck, T., Bazelais, P., & Lemay, D. J. (2017) · Knowledge Management & E-Learning An International Journal · doi:10.34105/j.kmel.2017.09.005 · Cited by 20
Technology Acceptance Measure for Teachers:T-TAM
Şahin, S., McIlroy, D., & Ursavaş, Ö. F. (2014) · Cited by 20
Is Usage Predictable Using Belief-Attitude-Intention Paradigm?
Saadé, R. G., Tan, W., & Kira, D. (2008) · Issues in Informing Science and Information Technology · doi:10.28945/1030 · Cited by 20
Towards Meaningful Engagement: A Framework for Design and Research of Gamified Information SystemsPreprint
De, L., & Santhanam, R. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2521283 · Cited by 23
Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments
Azam, M., Naeem, S. B., Boulos, M. N. K., & Faiola, A. J. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20237112 · Cited by 27
Mobile Data Service usage and preference: an investigation of Australian consumers
O’Doherty, K. C., Hill, S. R., Mackay, M. M., & McPherson, J. (2009) · International Journal of Mobile Communications · doi:10.1504/ijmc.2010.030523 · Cited by 19
Adoption Intentions Toward Interactive Digital Television Among Advertising Professionals
Cauberghe, V., & Pelsmacker, P. D. (2011) · Journal of Interactive Advertising · doi:10.1080/15252019.2011.10722184 · Cited by 19
UNDERSTANDING INDIVIDUAL ADOPTION AND USE OF SOCIAL COMPUTING: A USER-SYSTEM FIT MODEL AND EMPIRICAL STUDY
Soliman, M., & Beaudry, A. (2010) · International Conference on Information Systems · Cited by 19
Future use intentions versus intensity of use: An analysis of corporate technology acceptance
Ortega, B. H., Martínez, J. J., & Martín, M. J. (2008) · Industrial Marketing Management · doi:10.1016/j.indmarman.2007.12.002 · Cited by 19
Back to the future of IT adoption and evaluation in healthcare
Spil, T. A. M., LeRouge, C., Trimmer, K., & Wiggins, C. (2010) · International Journal of Healthcare Technology and Management · doi:10.1504/ijhtm.2011.037222 · Cited by 20
Understanding the Factors Affecting the Adoption of E-Marketing by Small Business Enterprises
El-Gohary, H. O., Trueman, M., & Fukukawa, K. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-1598-4.ch054 · Cited by 19
Exploring critical factors influencing nurses’ intention to use tablet PC in Patients’ care using an integrated theoretical model
Sun, S.-L., Hwang, H., Dutta, B., & Peng, M.-H. (2019) · Libyan Journal of Medicine · doi:10.1080/19932820.2019.1648963 · Cited by 19
Effect of Personal Innovativeness, Attachment Motivation and Social Norms on the Acceptance of Camera Mobile Phones
Rouibah, K., & Abbas, H. A. (2010) · International Journal of Handheld Computing Research · doi:10.4018/jhcr.2010100103 · Cited by 19
Usage, Acceptance, Adoption, and Diffusion of Information & Communication Technologies in Higher Education: A Measurement of Critical Factors 1
Shaikh, Z. A. (2009) · Cited by 19
Is AI an Effective “Learning Tool” in Academic Writing? Investigating the Perceptions of Third-Year University Students on the Use of Artificial Intelligence in Classroom Instruction
Bantoto, F. M. O., Rillo, R. M., Abequibel, B., Mangila, B. B., & Alieto, E. O. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-68650-4_8 · Cited by 18
User acceptance of AI voice assistants in Jordan’s telecom industry
Al-kfairy, M., Mustafa, D., Al-Adaileh, A., Zriqat, S., & Sendaba, O. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100521 · Cited by 20
Usability Testing and Technology Acceptance of an mHealth App at the Point of Care During Simulated Pediatric In- and Out-of-Hospital Cardiopulmonary Resuscitations: Study Nested Within 2 Multicenter Randomized Controlled Trials
Siebert, J. N., Gosetto, L., Sauvage, M., Bloudeau, L., Suppan, L., Rodieux, F., Haddad, K., Hugon, F., Gervaix, A., Lovis, C., et al. (2022) · JMIR Human Factors · doi:10.2196/35399 · Cited by 22
How to improve older adults’ trust and intentions to use virtual health agents: an extended technology acceptance model
Hou, G., Li, X., & Wang, H. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-04232-6 · Cited by 21
EXPLORING THE FACTORS AFFECTING EMPLOYEES’ ADOPTION AND USE OF INNOVATION
Talukder, M., & Quazi, A. M. (2010) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v16i2.594 · Cited by 18
Causal paths to acceptance of technological innovations by individual employees
Talukder, M. (2018) · Business Process Management Journal · doi:10.1108/bpmj-06-2016-0123 · Cited by 18
A theory of mobile library service delivery
Saravani, S.-J., & Haddow, G. (2015) · Journal of Librarianship and Information Science · doi:10.1177/0961000615595854 · Cited by 18
A Preliminary Introduction to the OTAM: Exploring Users’ Perceptions of their on-going Interaction with Adopted Technologies
Knight, S.-A., & Burn, J. M. (2011) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v17i1.541 · Cited by 18
Exploring Factors That Affect Teleconsultation Adoption: In The Case Of Malaysia
Maarop, N. B., Win, K. T., Masrom, M. B., & Singh, S. S. H. (2011) · Research Online (University of Wollongong) · Cited by 18
Development of an Enhanced Model of Innovation Adoption by Individual Employees
Talukder, M. (2011) · Journal of Asia-Pacific Business · doi:10.1080/10599231.2011.591691 · Cited by 17
Determinants factor affecting user continuance usage and intention to recommend of mobile telemedicine
Hartono, I. K., Della, T. K., Kawi, Y. A., & Yuniarty, Y. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/794/1/012079 · Cited by 18
Parental supervision and control of adolescents’ problematic internet use: understanding and predicting adoption of parental control software
Stewart, K., Brodowsky, G. H., & Sciglimpaglia, D. (2021) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-04-2021-1307 · Cited by 21
Arab scholars’ acceptance of informal scholarly communication tools: applying the technology acceptance model 2 (TAM2)
Alwreikat, A., Shehata, A. M. K., & Zaid, M. (2021) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-04-2021-0070 · Cited by 17
Examining Consumers’ Adoption of Smart Wearable Payments
Hidayat-ur-Rehman, I., Ahmad, A., Akhter, F., & Rehman, M. Z. (2022) · SAGE Open · doi:10.1177/21582440221117796 · Cited by 17
Factors affecting the acceptance of teledentistry determined using the technology acceptance model: A cross-sectional study
Bahanan, L. O., & Alsharif, M. (2023) · Digital Health · doi:10.1177/20552076231158034 · Cited by 17
Faith in metaverse: understanding adoption intentions of metaverse amongst the Muslim students
Azhar, M., Ali, R., Naz, A., & Sujood, S. (2024) · Journal of Islamic marketing · doi:10.1108/jima-01-2024-0051 · Cited by 21
Prevention through Design Adoption Readiness Model (PtD ARM): An integrated conceptual model
Weidman, J. E., Dickerson, D. E., & Koebel, C. T. (2015) · Work · doi:10.3233/wor-152109 · Cited by 17
An adoption model describing clinician’s acceptance of automated diagnostic system for tuberculosis
Panicker, R. O., Soman, B., Gangadharan, K. V., & Sobhana, N. V. (2016) · Health and Technology · doi:10.1007/s12553-016-0136-4 · Cited by 17
Keeping the user in the cloud: a cognitive social capital antecedent to use continuance and trust-commitment in personal cloud storage services
Goode, S. (2018) · Behaviour and Information Technology · doi:10.1080/0144929x.2018.1551934 · Cited by 17
INTENSI PENGGUNAAN ELECTRONIC WALLET GENERASI MILLENIAL PADA TIGA STARTUP “UNICORN” INDONESIA BERDASARKAN MODIFIKASI TAM
Hutami, L. T. H. (2019) · Jurnal Manajemen · doi:10.26460/jm.v8i2.702 · Cited by 17
Internet-Based Cognitive Behavioral Therapy Among Psychologists in a Medical Setting: A Survey on Implementation
IJzerman, R. V. H., van der Vaart, R., & Evers, A. W. M. (2019) · Journal of Medical Internet Research · doi:10.2196/13432 · Cited by 17
Fashion innovativeness, information technology innovativeness, and prior experience as factors influencing adoption of apparel mobile E-catalogs
Jai, T.-M. C., & Tung, T. (2015) · Journal of Global Fashion Marketing · doi:10.1080/20932685.2015.1032315 · Cited by 17

Authors: Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C.
Affiliations: University of South Carolina (US)
Kosin University (KR)
Corresponding author: Yi, Mun Y.
ORCID: Yi, Mun Y.
Probst, Janice C.
Venue: Information & Management
Publisher: Elsevier BV
Published: 2006-04
Volume: 43
Issue: 3
Pages: 350-363
ISSN: 0378-7206 (ISSN-L)
DOI: 10.1016/j.im.2005.08.006
OpenAlex: W2112149259
Cited by: 1,139
References: 61
Citations by year: 2026: 21 · 2025: 50 · 2024: 61 · 2023: 64 · 2022: 72 · 2021: 79 · 2020: 58 · 2019: 64 · 2018: 57 · 2017: 57 · 2016: 60 · 2015: 73 · 2014: 80 · 2013: 68 · 2012: 61
FWCI: 46.91
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Information & Management (publishedVersion)
Scholar Commons (University of South Carolina) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
Keywords: information technology acceptance, technology acceptance model, theory of planned behavior, diffusion of innovation theory, healthcare workers, physicians, personal digital assistants, technology acceptance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Understanding information technology acceptance by individual professionals: Toward an integrative view

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks