A Theoretical Integration of User Satisfaction and Technology Acceptance

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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Evaluating structural equation models with unobservable variables and measurement error

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Perceived usefulness, perceived ease of use, and user acceptance of information technology

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User Acceptance of Information Technology: Toward A Unified View1

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Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation

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Understanding information technology usage: a test of competing models

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Empirical Evaluation of the Revised Technology Acceptance Model

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Extending the technology acceptance model: the influence of perceived user resources

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Technology Acceptance Model 3 and a Research Agenda on Interventions

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Technology acceptance model: a literature review from 1986 to 2013

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The impact of electronic word-of-mouth communication: A literature analysis and integrative model

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Evaluating E-learning systems success: An empirical study

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Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics

Porter, C. E., & Donthu, N. (2006) · Journal of Business Research · doi:10.1016/j.jbusres.2006.06.003 · Cited by 1,066 · see citing works

Information Systems Innovation for Environmental Sustainability1

Melville, N. P. (2010) · MIS Quarterly · doi:10.2307/20721412 · Cited by 868 · see citing works

Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context: Context, expectations and IS continuance

Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J.-H., & Brown, S. A. (2011) · Information Systems Journal · doi:10.1111/j.1365-2575.2011.00373.x · Cited by 852 · see citing works

Big data analytics in E-commerce: a systematic review and agenda for future research

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Information System Success: Individual and Organizational Determinants

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Predicting collaboration technology use: integrating technology adoption and collaboration research

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The impact of website quality on customer satisfaction, and purchase intention: perceived playfulness, and perceived flow as mediators.

Hsu, C.-L., Chang, K.-C., & Chen, M.-C. (2012) · Information Systems and e-Business Management · doi:10.1007/s10257-011-0181-5 · Cited by 451 · see citing works

How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents

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Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective

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eWOM source credibility, perceived risk and food product customer’s information adoption

Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.09.034 · Cited by 337 · see citing works

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

Zhang, P. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.1.11 · Cited by 331 · see citing works

Technology Adoption by Older Adults: Findings From the PRISM Trial

Mitzner, T. L., Savla, J., Boot, W. R., Sharit, J., Charness, N., Czaja, S. J., & Rogers, W. A. (2019) · The Gerontologist · doi:10.1093/geront/gny113 · Cited by 311 · see citing works

The Central Role of Engagement in Online Communities

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Addressing the <i>What</i> and <i>How</i> of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success

Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008) · Information Systems Research · doi:10.1287/isre.1070.0163 · Cited by 272 · see citing works

Innovating with enterprise systems and digital platforms: A contingent resource-based theory view

Sedera, D., Lokuge, S., Grover, V., Sarker, S., & Sarker, S. (2016) · Information &amp; Management · doi:10.1016/j.im.2016.01.001 · Cited by 246 · see citing works

The trustworthiness of online channels for experience- and goal-directed search tasks

Dickinger, A. (2011) · Journal of Travel Research · doi:10.1177/0047287510371694 · Cited by 222 · see citing works

Useful, Social and Enjoyable: Mobile Phone Adoption by Older People

Conci, M., Pianesi, F., & Zancanaro, M. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-03655-2_7 · Cited by 204 · see citing works

Text mining for information systems researchers: An annotated topic modeling tutorial

University of Liechtenstein, Debortoli, S., Müller, O., IT University of Copenhagen, Junglas, I., Florida State University, vom Brocke, J., & University of Liechtenstein (2016) · Communications of the Association for Information Systems · doi:10.17705/1cais.03907 · Cited by 199 · see citing works

The Role of Trust in Postadoption IT Exploration: An Empirical Examination of Knowledge Management Systems

Thatcher, J. B., McKnight, D. H., Baker, E. W., Arsal, R. E., & Roberts, N. H. (2011) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2009.2028320 · Cited by 196 · see citing works

A comprehensive model of perceived risk of e-commerce transactions

Glover, S., & Benbasat, I. (2010) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415150202 · Cited by 196 · see citing works

What makes hosts trust Airbnb? Antecedents of hosts’ trust toward Airbnb and its impact on continuance intention

Wang, Y., Asaad, Y., & Filieri, R. (2020) · Journal of Travel Research · doi:10.1177/0047287519855135 · Cited by 194 · see citing works

Antecedents of ERP systems implementation success: a study on Jordanian healthcare sector

Almajali, D. A., Masa'deh, R., & Tarhini, A. (2016) · Journal of Enterprise Information Management · doi:10.1108/jeim-03-2015-0024 · Cited by 181 · see citing works

Toward a better understanding of behavioral intention and system usage constructs

Wu, J., & Du, H. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.15 · Cited by 175 · see citing works

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 · see citing works

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 · see citing works

A Model for Mandatory Use of Software Technologies: An Integrative Approach by Applying Multiple Levels of Abstraction of Informing Science

E. Koh, C., R. Prybutok, V., D. Ryan, S., & Andy" Wu, Y. (2010) · Informing Science: The International Journal of an Emerging Transdiscipline · doi:10.28945/1326 · Cited by 120 · see citing works

“How does tech make you feel?” a review and examination of negative affective responses to technology use

Agogo, D., & Hess, T. J. (2018) · European Journal of Information Systems · doi:10.1080/0960085x.2018.1435230 · Cited by 121 · see citing works

Determinants of mHealth success: An empirical investigation of the user perspective

Birkmeyer, S., Wirtz, B. W., & Langer, P. F. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102351 · Cited by 115 · see citing works

Sources of satisfaction and dissatisfaction with a learning management system in post-adoption stage: A critical incident technique approach

Najmul Islam, A. K. M. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.09.010 · Cited by 107 · see citing works

Mobile App Analytics: A Multiple Discrete-Continuous Choice Framework1

Han, S. P., Park, S., & Oh, W. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.4.09 · Cited by 86 · see citing works

An integrated model of voice-user interface continuance intention: The gender effect

Nguyen, Q. N., Ta, A., & Prybutok, V. (2019) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2018.1525023 · Cited by 87 · see citing works

Trust in Cloud Computing: Conceptual Typology and Trust-Building Antecedents

Lansing, J., & Sunyaev, A. (2016) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/2963175.2963179 · Cited by 64 · see citing works

Evaluating an mHealth App for Health and Well-Being at Work: Mixed-Method Qualitative Study

de Korte, E. M., Wiezer, N., Janssen, J. H., Vink, P., & Kraaij, W. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.6335 · Cited by 54 · see citing works

Information technology acceptance in health information management

Abdekhoda, M., Dehnad, A., Hosseini, A. F., & Ahmadi, M. (2014) · Methods of Information in Medicine · doi:10.3414/me13-01-0079 · Cited by 60 · see citing works

Effect of Engagement and Collaborative Learning on Satisfaction Through the use of Social Media on Malaysian Higher Education

Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015) · Research Journal of Applied Sciences, Engineering and Technology · doi:10.19026/rjaset.9.2608 · Cited by 55 · see citing works

Following you wherever you go: Mobile shopping ‘cart-checkout’ abandonment

Kapoor, A. P., & Vij, M. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102553 · Cited by 54 · see citing works

Exploring the role of espoused values on e-service adoption: a comparative analysis of the US and Nigerian users.

Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.04.017 · Cited by 51 · see citing works

Augmented reality (AR) marketing and consumer responses: a study of cue-utilization and habituation

Söderström, C., Mikalef, P., Dypvik Landmark, A., & Gupta, S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114813 · Cited by 51 · see citing works

Measuring Learner Satisfaction of an Adaptive Learning System

Lim, L., Lim, S. H., & Lim, R. W. Y. (2022) · Behavioral Sciences · doi:10.3390/bs12080264 · Cited by 37 · see citing works

Assessing the impact of enterprise resource planning on decision-making quality: An empirical study

Ouiddad, A., Okar, C., Chroqui, R., & Beqqali Hassani, I. (2021) · Kybernetes · doi:10.1108/k-04-2019-0273 · Cited by 35 · see citing works

Designing e‐government services: Key service attributes and citizens’ preference structures

Venkatesh, V., Chan, F. K. Y., & Thong, J. Y. L. (2012) · Journal of Operations Management · doi:10.1016/j.jom.2011.10.001 · Cited by 33 · see citing works

Firestorm response: Managing brand reputation during an nWOM firestorm by responding to online complaints individually or as a cluster

Lappeman, J., Patel, M., & Appalraju, R. (2018) · Communicatio · doi:10.1080/02500167.2018.1478866 · Cited by 25 · see citing works

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 · see citing works

Mobile-Health Tool Use and Community Health Worker Performance in the Kenyan Context: A Task-Technology Fit Perspective

Gatara, M., & Cohen, J. F. (2014) · Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology · doi:10.1145/2664591.2664628 · Cited by 12 · see citing works