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

Flagged first, then by citations

Show all 61 references

1 of the 61 references couldn’t be matched to a known paper.

Sorted by citations

Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology
Oliveira, T., Thomas, M. A., Baptista, G., & Campos, F. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.030 · Cited by 1,710
Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA
de Queiroz, M. M., & Wamba, S. F. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.11.021 · Cited by 1,199
The literature review of technology adoption models and theories for the novelty technology
Lai, P. C. (2017) · Journal of Information Systems and Technology Management · doi:10.4301/s1807-17752017000100002 · Cited by 1,312
Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model
Hoque, R., & Sorwar, G. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.02.002 · Cited by 1,004
What factors contribute to the acceptance of artificial intelligence? A systematic review
Kelly, S., Kaye, S.-A., & Oviedo-Trespalacios, Ó. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101925 · Cited by 1,340
Factors influencing teachers’ intention to use technology: Model development and test
Teo, T. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.008 · Cited by 914
Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services
Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.12.013 · Cited by 956
Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)
Kamal, S. A., Shafiq, M., & Kakria, P. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101212 · Cited by 1,044
Untitled work
(2012) · The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies) · Cited by 781
An international comparison of technology adoption
Im, I., Hong, S., & Kang, M. S. (2010) · Information & Management · doi:10.1016/j.im.2010.09.001 · Cited by 839
Extending the technology acceptance model (TAM) to predict university students’ intentions to use metaverse-based learning platforms
Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11816-3 · Cited by 637
“Several studies have confirmed the significant effect of PIIT on PU, PEU, and BI (Fagan et al., 2012; Yi et al., 2006 ).”
BackgroundInfluential
A Systematic Review of Patient Acceptance of Consumer Health Information Technology
Or, C. K. L., & Karsh, B.-T. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2888 · Cited by 586
Towards an understanding of the behavioral intention to use 3G mobile value-added services
Kuo, Y., & Yen, S.-N. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.07.007 · Cited by 607
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565
It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels
Morosan, C. V., & Defranco, A. L. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2015.11.003 · Cited by 576
The effects of perceived risk and technology type on users’ acceptance of technologies
Im, I., Kim, Y.-B., & Han, H. (2007) · Information & Management · doi:10.1016/j.im.2007.03.005 · Cited by 545
Toward Meaningful Engagement: A Framework for Design and Research of Gamified Information Systems1
Liu, D., Santhanam, R., & Webster, J. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.4.01 · Cited by 521
A theoretical model of mobile augmented reality acceptance in urban heritage tourism
Dieck, M. C. T., & Jung, T. H. (2015) · Current Issues in Tourism · doi:10.1080/13683500.2015.1070801 · Cited by 542
A unified perspective on the factors influencing consumer acceptance of internet of things technology
Gao, L., & Bai, X. (2014) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-06-2013-0061 · Cited by 581
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age
Liébana-Cabanillas, F. J., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.022 · Cited by 523
Extending the Technology Acceptance Model to assess automation
Ghazizadeh, M., Lee, J. D., & Boyle, L. N. (2011) · Cognition Technology & Work · doi:10.1007/s10111-011-0194-3 · Cited by 498
Understanding the effect of e-learning on individual performance: The role of digital literacy
Mohammadyari, S., & Singh, H. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.10.025 · Cited by 496
Technology Acceptance among Physicians: A New Take on TAM
Yarbrough, A. K., & Smith, T. B. (2007) · Medical Care Research and Review · doi:10.1177/1077558707305942 · Cited by 482
Factors driving the adoption of m-learning: An empirical study
Yong, L., Li, H., & Carlsson, C. P. O. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.05.018 · Cited by 469
Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context
Miltgen, C. L., Popovič, A., & Oliveira, T. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.05.010 · Cited by 460
Persuasive messages, popularity cohesion, and message diffusion in social media marketing
Chang, Y., Yu, H., & Lu, H.-P. (2014) · Journal of Business Research · doi:10.1016/j.jbusres.2014.11.027 · Cited by 432
Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs
Awa, H. O., Ojiabo, O. U., & Emecheta, B. C. (2015) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-04-2014-0012 · Cited by 525
Antecedents and consequences of mobile phone usability: Linking simplicity and interactivity to satisfaction, trust, and brand loyalty
Lee, D., Moon, J., Kim, Y. J., & Yi, M. Y. (2014) · Information & Management · doi:10.1016/j.im.2014.12.001 · Cited by 427
Self-citation
Age, gender and income: do they really moderate online shopping behaviour?
Ortega, B. H., Martínez, J. J., & Martín, M. J. (2011) · Online Information Review · doi:10.1108/14684521111113614 · Cited by 438
Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites
Kim, H.-B., Kim, T. T., & Shin, S. W. (2008) · Tourism Management · doi:10.1016/j.tourman.2008.07.001 · Cited by 425
Exploring consumer perceived risk and trust for online payments: an empirical study in China’s younger generation.
Yang, Q., Pang, C., Liu, L., Yen, D. C., & Michael Tarn, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.058 · Cited by 410
The adoption of mobile healthcare by hospital's professionals: An integrative perspective
Wu, I., Li, J.-Y., & Fu, C.-Y. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.03.003 · Cited by 429
Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach
Beldad, A. D., & Hegner, S. M. (2017) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2017.1403220 · Cited by 422
Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon: A structural equation modeling approach
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016) · Information Technology & People · doi:10.1108/itp-02-2014-0034 · Cited by 400
Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations
El-Gohary, H. O. (2011) · Tourism Management · doi:10.1016/j.tourman.2011.10.013 · Cited by 406
UNDERSTANDING THE ACCEPTANCE OF MOBILE HEALTH SERVICES: A COMPARISON AND INTEGRATION OF ALTERNATIVE MODELS
Sun, Y., Wang, N., Guo, X., & Peng, Z. C. (2013) · Journal of electronic commerce research · Cited by 360
NFC mobile credit card: The next frontier of mobile payment?
Tan, G. W., Ooi, K., Chong, S. C., & Hew, T.-S. (2013) · Telematics and Informatics · doi:10.1016/j.tele.2013.06.002 · Cited by 383
Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)
Fan, W., Liu, J., Zhu, S., & Pardalos, P. M. (2020) · Annals of Operations Research · doi:10.1007/s10479-018-2818-y · Cited by 346
Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective
Pal, D., Funilkul, S., Charoenkitkarn, N., & Kanthamanon, P. (2018) · IEEE Access · doi:10.1109/access.2018.2808472 · Cited by 359
Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach
Edmunds, R., Thorpe, M., & Conole, G. (2010) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2010.01142.x · Cited by 336
Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach
Shiau, W., & Chau, P. Y. K. (2015) · Information & Management · doi:10.1016/j.im.2015.10.004 · Cited by 352
Predicting mobile hotel reservation adoption: Insight from a perceived value standpoint
Wang, H., & Wang, S.-H. (2009) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2009.11.001 · Cited by 334
Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT
Maillet, É., Mathieu, L., & Sicotte, C. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.09.004 · Cited by 367
Determinants of physicians’ technology acceptance for e-health in ambulatory care
Dünnebeil, S., Sunyaev, A., Blohm, I., Leimeister, J. M., & Krcmar, H. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.02.002 · Cited by 320
Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education
Chow, M. C. M., Herold, D. K., Choo, T.-M., & Chan, K. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.05.011 · Cited by 340
Modeling users’ acceptance of mobile services
Ζάρμπου, Θ., Saprikis, V., Markos, A., & Vlachopoulou, M. (2012) · Electronic Commerce Research · doi:10.1007/s10660-012-9092-x · Cited by 319
The influence of acceptance and adoption drivers on smart home usage
Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl‬, R. (2018) · European Journal of Marketing · doi:10.1108/ejm-12-2016-0794 · Cited by 349
Factors affecting adoption of online banking: A meta-analytic structural equation modeling study
Montazemi, A. R., & Qahri-Saremi, H. (2015) · Information & Management · doi:10.1016/j.im.2014.11.002 · Cited by 293
Customer behavior in electronic commerce: The moderating effect of e-purchasing experience
Ortega, B. H., Martínez, J. J., & Martín, M. J. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2009.01.019 · Cited by 315
Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors
Ortega Egea, J. M., & Román González, M. V. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.010 · Cited by 287
Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals
Kim, S. H. (2008) · Information & Management · doi:10.1016/j.im.2008.05.002 · Cited by 282
Predictive factors of telemedicine service acceptance and behavioral intention of physicians
Rho, M. J., Choi, I. Y., & Lee, J. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.05.005 · Cited by 260
Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study
Hossain, M. A., Quaresma, R., & Rahman, H. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.09.016 · Cited by 302
An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology
Jackson, J. D., Yi, M. Y., & Park, J. S. (2013) · Information & Management · doi:10.1016/j.im.2013.02.006 · Cited by 285
Self-citation
Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles
Deb, S., Strawderman, L., Carruth, D. W., DuBien, J., Smith, B., & Garrison, T. M. (2017) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2017.08.029 · Cited by 259
Barriers to adopting technology for teaching and learning in Oman
Al-Senaidi, S., Lin, L., & Poirot, J. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.03.015 · Cited by 259
An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems
Kuo, K.-M., Liu, C.-F., & Ma, C.-C. (2013) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-13-88 · Cited by 258
Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption
Tsai, J.-M., Cheng, M.-J., Tsai, H.-H., Hung, S.-W., & Chen, Y.-L. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.003 · Cited by 257
Acceptance of health information technology in health professionals: An application of the revised technology acceptance model
Ketikidis, P. H., Dimitrovski, T., Lazuras, L., & Bath, P. A. (2012) · Health Informatics Journal · doi:10.1177/1460458211435425 · Cited by 250
Electronic health record acceptance by physicians: Testing an integrated theoretical model
Gagnon, M., Ghandour, E. K., Talla, P. K., Simonyan, D., Godin, G., Labrecque, M., Ouimet, M., & Rousseau, M. (2013) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.10.010 · Cited by 250
A Conceptual Framework and Propositions for the Acceptance of Mobile Services
Hill, S. R., & Troshani, I. (2007) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer2020014 · Cited by 241
Success of IoT in Smart Cities of India: An empirical analysis
Chatterjee, S., Kar, A. K., & Gupta, M. P. (2018) · Government Information Quarterly · doi:10.1016/j.giq.2018.05.002 · Cited by 251
What drives the adoption of building information modeling in design organizations? An empirical investigation of the antecedents affecting architects' behavioral intentions
Son, H., Lee, S., & Kim, C. (2014) · Automation in Construction · doi:10.1016/j.autcon.2014.10.012 · Cited by 236
Exploring the factors that support adoption and sustained use of health and fitness wearables
Canhoto, A. I., & Arp, S. (2016) · Journal of Marketing Management · doi:10.1080/0267257x.2016.1234505 · Cited by 252
Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model
Zhong, Y., se-gu, O., & Moon, H. C. (2021) · Technology in Society · doi:10.1016/j.techsoc.2020.101515 · Cited by 238
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction
Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114241 · Cited by 273
Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimension
Raghu Raman, R., Mandal, S., Das, P., Kaur, T., Sanjanasri, J. P., & Nedungadi, P. (2024) · Human Behavior and Emerging Technologies · doi:10.1155/2024/3085910 · Cited by 288
Factors driving the adoption of smart home technology: An empirical assessment
Nikou, S. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.101283 · Cited by 227
A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies
Tao, D., Wang, T., Wang, T., Zhang, T., Zhang, X., & Qu, X. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.023 · Cited by 236
Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey
Zhang, Y., Liu, C., Luo, S., Xie, Y., Liu, F., Li, X., & Zhou, Z. (2019) · Journal of Medical Internet Research · doi:10.2196/15023 · Cited by 207
Acceptance and use predictors of fitness wearable technology and intention to recommend
Talukder, M. S., Chiong, R., Bao, Y., & Malik, B. H. (2018) · Industrial Management & Data Systems · doi:10.1108/imds-01-2018-0009 · Cited by 248
Rogers’ Innovation Adoption Attributes: A Systematic Review and Synthesis of Existing Research
Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2013) · Information Systems Management · doi:10.1080/10580530.2014.854103 · Cited by 214
Smart city governance from an innovation management perspective: Theoretical framing, review of current practices, and future research agenda
Mora, L., Gerli, P., Ardito, L., & Petruzzelli, A. M. (2023) · Technovation · doi:10.1016/j.technovation.2023.102717 · Cited by 203
Understanding behavioural intention to use information technology: Insights from humanitarian practitioners
Kabra, G., Ramesh, A., Akhtar, P., & Dash, M. K. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.05.010 · Cited by 201
Determinants of RFID adoption intention: Evidence from Taiwanese retail chains
Tsai, M., Lee, W., & Wu, H. (2010) · Information & Management · doi:10.1016/j.im.2010.05.001 · Cited by 215
Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey
Tavares, J., & Oliveira, T. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5069 · Cited by 204
'Just What the Doctor Ordered': A Revised UTAUT for EMR System Adoption and Use by Doctors
Venkatesh, V., Sykes, T. A., & Zhang, X. (2011) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2011.1 · Cited by 191
Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): the COVID-19 situation in Korea
Han, J.-H., & Ji, H. (2021) · Asia Pacific Education Review · doi:10.1007/s12564-021-09716-7 · Cited by 257
Investigating end-user acceptance of autonomous electric buses to accelerate diffusion
Herrenkind, B., Brendel, B., Nastjuk, I., Greve, M., & Kolbe, L. M. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.08.003 · Cited by 195
An empirical investigation of anti-spyware software adoption: A multitheoretical perspective
Lee, Y., & Kozar, K. A. (2008) · Information & Management · doi:10.1016/j.im.2008.01.002 · Cited by 177
An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern
Hoque, M. R. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0289-0 · Cited by 181
The determinants of Gen Z's metaverse adoption decisions in higher education: Integrating UTAUT2 with personal innovativeness in IT
Al-Adwan, A., & Al-Debei, M. M. (2023) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-023-12080-1 · Cited by 170
The Integrated Model on Mobile Payment Acceptance (IMMPA): An empirical application to public transport
Pietro, L. D., Mugion, R. G., Mattia, G., Renzi, M. F., & Toni, M. (2015) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2015.05.001 · Cited by 181
Factors affecting e-commerce adoption among SMEs in Ghana
Awiagah, R., Kang, J., & Lim, J. I. (2015) · Information Development · doi:10.1177/0266666915571427 · Cited by 215
Factors affecting the adoption of healthcare information technology.
Phichitchaisopa, N., & Naenna, T. (2013) · EXCLI journal · Cited by 165
Acceptance, motivations, and usage of social media as a marketing communications tool amongst employees of sport national governing bodies
Eagleman, A. N. (2013) · Sport Management Review · doi:10.1016/j.smr.2013.03.004 · Cited by 163
An Exploratory Study Into The Adoption of Internet Banking in a Developing Country: Malaysia
Nor, K. M., & Pearson, J. M. (2008) · Journal of Internet Commerce · doi:10.1080/15332860802004162 · Cited by 168
An investigation on physicians’ acceptance of hospital information systems: A case study
Chen, R.-F., & Hsiao, J.-L. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.05.003 · Cited by 150
Factors affecting consumer engagement on online social networks: self-congruity, brand attachment, and self-extension tendency
Rabbanee, F. K., Roy, R., & Spence, M. T. (2020) · European Journal of Marketing · doi:10.1108/ejm-03-2018-0221 · Cited by 193
Physicians’ acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk
Hsieh, P.-J. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.08.008 · Cited by 166
Teachers’ acceptance of ICT and its integration in the classroom
Mirzajani, H., Mahmud, R. B., Ayub, A. F. M., & Wong, S. L. (2016) · Quality Assurance in Education · doi:10.1108/qae-06-2014-0025 · Cited by 152
Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis
Enaizan, O., Zaidan, A. A., Alwi, N. H. M., Zaidan, B. B., Alsalem, M. A., Albahri, O. S., & Albahri, A. S. (2018) · Health and Technology · doi:10.1007/s12553-018-0278-7 · Cited by 158
Exploring the intention to continue using social networking sites: The case of Facebook
Chang, C., Hung, S., Cheng, M.-J., & Wu, C. (2014) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2014.03.012 · Cited by 164
Towards an integrated model of IT acceptance in healthcare
Moores, T. T. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.04.014 · Cited by 150
Understanding usage of Internet of Things (IOT) systems in China
Dong, X., Chang, Y., Wang, Y., & Yan, J. (2017) · Information Technology and People · doi:10.1108/itp-11-2015-0272 · Cited by 147
Predicting the behavioral intention to use enterprise resource planning systems
Çalışır, F., Gümüşsoy, Ç. A., & Bayram, A. (2009) · Management Research News · doi:10.1108/01409170910965215 · Cited by 147
Applying the job demands resources model to understand technology as a predictor of turnover intentions
Carlson, J. R., Carlson, D. S., Zivnuska, S., Harris, R. B., & Harris, K. J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.09.009 · Cited by 145
Modeling the intention to use machine translation for student translators: An extension of Technology Acceptance Model
Yang, Y., & Wang, X. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.01.015 · Cited by 156

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