Evaluating E-learning systems success: An empirical study
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Ethical considerations are more pronounced in LLM benchmarking, as LLMs must navigate complex social norms and avoid generating inappropriate content.
“Ethical considerations are also more pronounced in LLM benchmarking, as LLMs must navigate complex social norms and avoid generating inappropriate content [36].”
From Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence (2026) · cites this paper as [36]
The study's findings corroborate prior findings that information quality has a substantial impact on perceived ease of use and perceived usefulness.
“The study’s findings corroborate those of [117,118], who found that the quality of the information had a substantial impact on PEOU and perceived usefulness.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [117]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
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 · see citing works
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459 · see citing works
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801 · see citing works
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 · see citing works
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 · see citing works
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756 · see citing works
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791 · see citing works
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697 · see citing works
Multivariate Data Analysis, 6th ed
Tatham, R. L., Anderson, R. E., Babin, B. J., Black, W. C., & Hair, J. F. (2006) · Cited by 9,807 · see citing works
Structural Equation Modelling: Guidelines for Determining Model Fit
Hooper, D., Coughlan, J., & Mullen, M. R. (2008) · Dublin Institute of Technology · doi:10.21427/d7cf7r · Cited by 8,746 · see citing works
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · see citing works
A QUANTITATIVE APPROACH TO CONTENT VALIDITY<sup>1</sup>
LAWSHE, C. H. (1975) · Personnel Psychology · doi:10.1111/j.1744-6570.1975.tb01393.x · Cited by 7,313 · see citing works
Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. (2005) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2004.03.005 · Cited by 6,312 · see citing works
Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009) · MIS Quarterly · doi:10.2307/20650284 · Cited by 4,944 · see citing works
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250 · see citing works
Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014) · Organizational Research Methods · doi:10.1177/1094428114526928 · Cited by 3,332 · see citing works
Mishra, S., & Datta‐Gupta, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803279-4.00005-5 · Cited by 3,032 · see citing works
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891 · see citing works
A Theoretical Integration of User Satisfaction and Technology Acceptance
Wixom, B. H., & Todd, P. A. (2005) · Information Systems Research · doi:10.1287/isre.1050.0042 · Cited by 2,835 · see citing works
Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y., & Yeh, D. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.11.007 · Cited by 2,726 · see citing works
Development of a Tool for Measuring and Analyzing Computer User Satisfaction
Bailey, J. E., & Pearson, S. W. (1983) · Management Science · doi:10.1287/mnsc.29.5.530 · Cited by 2,562 · see citing works
The Measurement of End-User Computing Satisfaction
Doll, W. J., & Torkzadeh, G. (1988) · MIS Quarterly · doi:10.2307/248851 · Cited by 2,499 · see citing works
A Respecification and Extension of the DeLone and McLean Model of IS Success
Seddon, P. B. (1997) · Information Systems Research · doi:10.1287/isre.8.3.240 · Cited by 2,440 · see citing works
Goodness-of-fit indices for partial least squares path modeling
Henseler, J., & Sarstedt, M. (2012) · Computational Statistics · doi:10.1007/s00180-012-0317-1 · Cited by 1,984 · see citing works
Measuring information systems success: models, dimensions, measures, and interrelationships
Petter, S., DeLone, W. H., & McLean, E. R. (2008) · European Journal of Information Systems · doi:10.1057/ejis.2008.15 · Cited by 1,971 · see citing works
The measurement of user information satisfaction
Ives, B., Olson, M. H., & Baroudi, J. J. (1983) · Communications of the ACM · doi:10.1145/358413.358430 · Cited by 1,830 · see citing works
Service Quality: A Measure of Information Systems Effectiveness
PITT, L. F., Watson, R. T., & Kavan, C. B. (1995) · MIS Quarterly · doi:10.2307/249687 · Cited by 1,776 · see citing works
Zhu, K., & Kraemer, K. L. (2005) · Information Systems Research · doi:10.1287/isre.1050.0045 · Cited by 1,723 · see citing works
Structural Equation Modeling in Information Systems Research Using Partial Least Squares
Urbach, N., & Ahlemann, F. (2010) · The Journal of Information Technology Theory and Application · Cited by 1,659 · see citing works
Development of an instrument measuring user satisfaction of the human-computer interface
Chin, J. P., Diehl, V. A., & Norman, L. (1988) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/57167.57203 · Cited by 1,631 · see citing works
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611 · see citing works
Piccoli, G., Ahmad, R., & Ives, B. (2001) · MIS Quarterly · doi:10.2307/3250989 · Cited by 1,587 · see citing works
Wold, H. (2005) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess1914.pub2 · Cited by 1,535 · see citing works
Benbasat, I., Barki, H., & Montréal, H. (2007) · Journal of the Association for Information Systems · doi:10.17705/1jais.00126 · Cited by 1,389 · see citing works
Park, S. Y. (2009) · Educational Technology & Society · Cited by 1,385 · see citing works
Lee, M.-C. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.09.002 · Cited by 1,289 · see citing works
Liaw, S. (2008) · Comput. Educ. · doi:10.1016/j.compedu.2007.09.005 · Cited by 1,246 · see citing works
Critical success factors for e-learning acceptance: Confirmatory factor models
Selim, H. M. (2007) · Computers & Education · doi:10.1016/j.compedu.2005.09.004 · Cited by 1,055 · see citing works
Overview of the Technology Acceptance Model: Origins, Developments and Future Directions
Chuttur, M. Y. (2009) · Cited by 1,039 · see citing works
A study of student satisfaction in a blended e-learning system environment
Wu, J., Tennyson, R. D., & Hsia, T.-L. (2010) · Computers & Education · doi:10.1016/j.compedu.2009.12.012 · Cited by 1,009 · see citing works
Abdullah, F., & Ward, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.036 · Cited by 986 · cited 4× · see citing works
“Based on the literature study conducted by Abdullah and Ward (2016), the five most used external factors by researchers and confirmed to have a relationship with TAM in the context of e-learning are self-efficacy, subjective norm, enjoyment, computer anxiety, and prior experience. According to the review study conduct…”
BackgroundMethodInfluentialThe acceptance and use of a virtual learning environment in China
van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940 · see citing works
The influence of system characteristics on e-learning use
Pituch, K. A., & Lee, Y.-K. (2004) · Computers & Education · doi:10.1016/j.compedu.2004.10.007 · Cited by 930 · see citing works
Wang, Y., & Liao, Y.-W. (2007) · Government Information Quarterly · doi:10.1016/j.giq.2007.06.002 · Cited by 866 · see citing works
Empirical examination of the adoption of WebCT using TAM
Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007) · Computers & Education · doi:10.1016/j.compedu.2004.11.007 · Cited by 813 · see citing works
Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.10.010 · Cited by 783 · see citing works
Measuring KMS success: A respecification of the DeLone and McLean's model
Wu, J., & Wang, Y.-M. (2006) · Information & Management · doi:10.1016/j.im.2006.05.002 · Cited by 779 · see citing works
Investigating users’ perspectives on e-learning: An integration of TAM and IS success model
Mohammadi, H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.07.044 · Cited by 779 · see citing works
Surveying instructor and learner attitudes toward e-learning
Liaw, S.-S., Huang, H., & Chen, G. (2006) · Computers & Education · doi:10.1016/j.compedu.2006.01.001 · Cited by 778 · see citing works
A Partial Test and Development of Delone and Mclean's Model of IS Success
Seddon, P. B., & Kiew, M.-Y. (1996) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v4i1.379 · Cited by 756 · see citing works
Virtual Classroom Characteristics and Student Satisfaction with Internet-Based MBA Courses
Arbaugh, J. B. (2000) · Organizational Behavior Teaching Review · doi:10.1177/105256290002400104 · Cited by 749 · see citing works
Roca, J. C., & Gagné, M. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2007.06.001 · Cited by 732 · see citing works
An empirical test of the DeLone-McLean model of information system success
Iivari, J. (2005) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1066149.1066152 · Cited by 726 · see citing works
Assessment of learner satisfaction with asynchronous electronic learning systems
Wang, Y. (2003) · Information & Management · doi:10.1016/s0378-7206(03)00028-4 · Cited by 718 · see citing works
Information System Success: Individual and Organizational Determinants
Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006) · Management Science · doi:10.1287/mnsc.1060.0583 · Cited by 685 · see citing works
Özkan, S., & Koseler, R. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.06.011 · Cited by 666 · see citing works
E-learning success determinants: Brazilian empirical study
Cidral, W., Oliveira, T., Felice, M. D., & Aparício, M. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.12.001 · Cited by 664 · see citing works
Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies
Ong, C., Lai, J., & Wang, Y. (2003) · Information & Management · doi:10.1016/j.im.2003.08.012 · Cited by 650 · see citing works
Learners’ acceptance of e-learning in South Korea: Theories and results
Lee, B.-C., Yoon, J.-O., & Lee, I. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.06.014 · Cited by 638 · see citing works
Šumak, B., Heričko, M., & Pušnik, M. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.08.005 · Cited by 602 · see citing works
Liaw, S.-S., & Huang, H.-M. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.07.015 · Cited by 571 · see citing works
Motivational factors that influence the acceptance of Moodle using TAM
Sánchez, R. A., & Hueros, A. M. D. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.011 · Cited by 556 · see citing works
A task–technology fit view of learning management system impact
McGill, T. J., & Klobas, J. E. (2008) · Computers & Education · doi:10.1016/j.compedu.2008.10.002 · Cited by 555 · see citing works
A Short-Form Measure of User Information Satisfaction: A Psychometric Evaluation and Notes on Use
Baroudi, J. J., & Orlikowski, W. J. (1988) · Journal of Management Information Systems · doi:10.1080/07421222.1988.11517807 · Cited by 554 · see citing works
The consequences of information technology acceptance on subsequent individual performance
Igbaria, M., & Tan, M. (1997) · Information & Management · doi:10.1016/s0378-7206(97)00006-2 · Cited by 529 · see citing works
Understanding information systems continuance: The case of Internet-based learning technologies
Limayem, M., & Cheung, C. M. K. (2008) · Information & Management · doi:10.1016/j.im.2008.02.005 · Cited by 518 · see citing works
An empirical investigation of student acceptance of course websites
Selim, H. M. (2003) · Computers & Education · doi:10.1016/s0360-1315(02)00142-2 · Cited by 414 · see citing works
A model for measuring e-learning systems success in universities
Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.03.028 · Cited by 409 · see citing works
Defining, Assessing, and Promoting E‐Learning Success: An Information Systems Perspective*
Holsapple, C. W., & Lee, A. (2006) · Decision Sciences Journal of Innovative Education · doi:10.1111/j.1540-4609.2006.00102.x · Cited by 402 · see citing works
Technology Acceptance Model: A Survey of Literature
Surendran, P. (2012) · RePEc: Research Papers in Economics · doi:10.18533/ijbsr.v2i4.161 · Cited by 389 · see citing works
Explaining employees' Extended Use of complex information systems
Hsieh, J. J. P.-A., & Wang, W. (2007) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000663 · Cited by 388 · see citing works
A Partial Test and Development of the DeLone and McLean Model of IS Success.
Seddon, P. B., & Kiew, M.-Y. (1994) · Cited by 381 · see citing works
Chiu, C., Chiu, C., & Chang, H. (2007) · Information Systems Journal · doi:10.1111/j.1365-2575.2007.00238.x · Cited by 366 · see citing works
Walker, S. L., & Fraser, B. J. (2005) · Learning Environments Research · doi:10.1007/s10984-005-1568-3 · Cited by 334 · see citing works
Chen, H.-R., & Tseng, H.-F. (2011) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2011.11.007 · Cited by 323 · see citing works
An empirical investigation of employee portal success
Urbach, N., Smolnik, S., & Riempp, G. (2010) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2010.06.002 · Cited by 320 · see citing works
Grit in the path to e-learning success
Aparício, M., Bação, F., & Oliveira, T. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.009 · Cited by 318 · see citing works
Lee, J.-K., & Lee, W.-K. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2006.12.001 · Cited by 281 · see citing works
Antecedents and consequences of e-learning acceptance
Cheng, Y. (2010) · Information Systems Journal · doi:10.1111/j.1365-2575.2010.00356.x · Cited by 280 · see citing works
Measuring Online Learning Systems Success: Applying the Updated DeLone and McLean Model
Lin, H. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.9948 · Cited by 276 · see citing works
Investigating e-learning system usage outcomes in the university context
Islam, A. K. M. N. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.07.037 · Cited by 272 · see citing works
Measuring the Performance of Information Systems: A Functional Scorecard
Chang, J., & King, W. R. (2005) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045833 · Cited by 267 · see citing works
The conceptualization and measurement of m-commerce user satisfaction
Wang, Y., & Liao, Y.-W. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2004.10.017 · Cited by 256 · see citing works
What factors predict undergraduate students' use of technology for learning? A case from Hong Kong
Lai, C., Wang, Q., & Lei, J. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.03.006 · Cited by 256 · see citing works
Factors affecting university instructors' adoption of web-based learning systems: Case study of Iran
Hediyeh, M., Hassanzadeh, A., & Moghadam, D. K. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.09.016 · Cited by 253 · see citing works
Effects of quality antecedents on e‐learning acceptance
Cheng, Y. (2012) · Internet Research · doi:10.1108/10662241211235699 · Cited by 250 · see citing works
An Empirical Investigation of Knowledge Management Systems' Success
Halawi, L., McCarthy, R. V., & Aronson, J. E. (2008) · Journal of Computer Information Systems · doi:10.1080/08874417.2008.11646014 · Cited by 250 · see citing works
Extending the TAM to examine the effects of quality features on mobile learning acceptance
Almaiah, M. A., Jalil, M. A., & Man, M. B. (2016) · Journal of Computers in Education · doi:10.1007/s40692-016-0074-1 · Cited by 236 · see citing works
Kang, Y. S., & Lee, H. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.006 · Cited by 226 · see citing works
Somers, T. M., Nelson, K. G., & Karimi, J. (2003) · Decision Sciences · doi:10.1111/j.1540-5414.2003.02428.x · Cited by 221 · see citing works
Doll, W. J., Deng, X., Raghunathan, T. S., Torkzadeh, G., & Xia, W. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045789 · Cited by 217 · see citing works
A model for assessing the impact of e-learning systems on employees’ satisfaction
Navimipour, N. J., & Zareie, B. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.026 · Cited by 206 · see citing works
Dahlstrom, E., Brooks, D., & Bichsel, J. (2014) · doi:10.13140/rg.2.1.3751.6005 · Cited by 206 · see citing works
Hou, C.-K. (2012) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2012.03.001 · Cited by 196 · see citing works
Chen, C.-W. D., & Cheng, C.-Y. (2009) · Behaviour and Information Technology · doi:10.1080/01449290701850111 · Cited by 195 · see citing works
Chen, H.-J. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.07.005 · Cited by 194 · see citing works
Kositanurit, B., Ngwenyama, O. K., & Osei-Bryson, K.-M. (2006) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000654 · Cited by 184 · see citing works
Factors that influence university students’ intention to use Moodle: a study in Macau
Teo, T. P., Zhou, M., Fan, A. C. W., & Huang, F. (2019) · Educational Technology Research and Development · doi:10.1007/s11423-019-09650-x · Cited by 184 · see citing works
Mtebe, J. S., & Raphael, C. (2018) · Australasian Journal of Educational Technology · doi:10.14742/ajet.2993 · Cited by 175 · see citing works
The demand-driven learning model: A framework for Web-based learning
MacDonald, C., Stodel, E., Farres, L. G., Breithaupt, K., & Gabriel, M. A. (2001) · Internet and Higher Education · doi:10.1016/s1096-7516(01)00045-8 · Cited by 174 · see citing works
Assessing e-learning 2.0 system success
Wang, H., & Chiu, Y. F. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.03.009 · Cited by 172 · see citing works
Quality in e-Learning from a Learner’s Perspective
Ehlers, U. (2018) · Distances et médiations des savoirs · doi:10.4000/dms.2707 · Cited by 170 · see citing works
Alenezi, A. R., Karim, A. M. A., & Veloo, A. (2010) · The Turkish Online Journal of Educational Technology · Cited by 163 · see citing works
Chen, W. S., & Yao, A. Y. T. (2016) · Universal Journal of Educational Research · doi:10.13189/ujer.2016.040719 · Cited by 163 · see citing works
Critical success factors for adoption of web-based learning management systems in Tanzania
Lwoga, E. T. (2014) · The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies) · Cited by 161 · see citing works
Ali, A., & Ahmad, I. (2011) · Contemporary Educational Technology · doi:10.30935/cedtech/6047 · Cited by 158 · see citing works
A System's View of E‐Learning Success Model
Eom, S. B., & Ashill, N. J. (2018) · Decision Sciences Journal of Innovative Education · doi:10.1111/dsji.12144 · Cited by 154 · see citing works
An Empirical Application of the Delone and Mclean Model in the Kuwaiti Private Sector
Almutairi, H., & Subramanian, G. H. (2005) · Journal of Computer Information Systems · doi:10.1080/08874417.2005.11645849 · Cited by 153 · see citing works
Information systems effectiveness: A user satisfaction approach
Thong, J. Y. L., & Yap, C.-S. (1996) · Information Processing & Management · doi:10.1016/0306-4573(96)00004-0 · Cited by 138 · see citing works
Appraising New Technologies for Learning: A Framework for Development
Boud, D. J., & Prosser, M. (2002) · Educational Media International · doi:10.1080/09523980210166026 · Cited by 136 · see citing works
(2005) · Issues in Information Systems · doi:10.48009/2_iis_2005_175-181 · Cited by 135 · see citing works
Evaluation of information retrieval systems : Approaches, issues, and methods
Harter, S. P., & Hert, C. A. (1997) · Cited by 133 · see citing works
Ghazal, S., Al‐Samarraie, H., & Aldowah, H. A. (2018) · IEEE Access · doi:10.1109/access.2018.2879677 · Cited by 128 · see citing works
The impact of IT outsourcing on information systems success
Gorla, N., & Somers, T. M. (2014) · Information & Management · doi:10.1016/j.im.2013.12.002 · Cited by 127 · see citing works
The role of involvement in learning management system success
Klobas, J. E., & McGill, T. J. (2010) · Journal of Computing in Higher Education · doi:10.1007/s12528-010-9032-5 · Cited by 125 · see citing works
Development of an electronic Portfolio system success model: An information systems approach
Balaban, I., Mu, E., & Divjak, B. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.06.013 · Cited by 120 · see citing works
Building models explaining student participation behavior in asynchronous online discussion
Goggins, S., & Xing, W. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.11.002 · Cited by 116 · see citing works
Kim, K., Trimi, S., Park, H., & Rhee, S. (2012) · Decision Sciences Journal of Innovative Education · doi:10.1111/j.1540-4609.2012.00360.x · Cited by 101 · see citing works
Development and initial evaluation of the Clinical Information Systems Success Model (CISSM)
García-Smith, D., & Effken, J. A. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.01.011 · Cited by 100 · see citing works
The temporal nature of IS benefits: A longitudinal study
Jurison, J. (1996) · Information & Management · doi:10.1016/0378-7206(95)00050-x · Cited by 94 · see citing works
Modeling Students’ Intention to Adopt E‐learning: A Case from Egypt
Abdel-Wahab, A. G. (2008) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/j.1681-4835.2008.tb00232.x · Cited by 92 · see citing works
Structure, Content, Delivery, Service, and Outcomes: Quality e-Learning in higher education
Macdonald, C. J., & Thompson, T. L. (2005) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v6i2.237 · Cited by 91 · see citing works
Ong, C., & Lai, J. (2005) · Computers in Human Behavior · doi:10.1016/j.chb.2004.12.012 · Cited by 87 · see citing works
Factors affecting acceptance & use of ReWIND
Nair, P. K., Ali, F., & Leong, L. C. (2015) · Interactive Technology and Smart Education · doi:10.1108/itse-02-2015-0001 · Cited by 86 · see citing works
The perceptual evaluation of information systems using the construct of user satisfaction
Leclercq‐Vandelannoitte, A. (2007) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1240616.1240621 · Cited by 83 · see citing works
The role of information technology in e-learning systems success
Eom, S. B., Ashill, N., Arbaugh, J., & Stapleton, J. L. (2012) · Human Systems Management · doi:10.3233/hsm-2012-0767 · Cited by 80 · see citing works
Quality assurance and e-learning: blue skies and pragmatism
Oliver, R. (2005) · Research in Learning Technology · doi:10.3402/rlt.v13i3.10996 · Cited by 77 · see citing works
Kim, B., & Park, M. J. (2017) · Information Technology for Development · doi:10.1080/02681102.2017.1312244 · Cited by 77 · see citing works
Learning Features in an Open, Flexible, and Distributed Environment
Khan, B. (2005) · Cited by 72 · see citing works
Evaluating E-learning. A guide to the Evaluation of E-learning
Kuusinen, R., Katzeff, C., Abdallah, L., et al. (2006) · Cited by 68 · see citing works
Marjanović, U., Delić, M., & Lаlić, B. (2015) · Information Systems and e-Business Management · doi:10.1007/s10257-015-0282-7 · Cited by 60 · see citing works
The Determinants of the Post-Adoption Satisfaction of Educators with an E-Learning System
Islam, A. K. M. N. (2011) · Journal of the Association for Information Systems · Cited by 59 · see citing works
A Technique for Quality Evaluation of E-Learning from Developers Perspective
Abdellatief (2011) · American Journal of Economics and Business Administration · doi:10.3844/ajebasp.2011.157.164 · Cited by 53 · see citing works
Hwang, H., Chang, I., Chen, F.-J., & Wu, S. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.10.018 · Cited by 52 · see citing works
The moderating effect of occupation on the perception of information services quality and success
Landrum, H. T., Prybutok, V. R., & Zhang, X. (2009) · Computers & Industrial Engineering · doi:10.1016/j.cie.2009.09.006 · Cited by 48 · see citing works
Identifying success factors for e-learning in Higher Education
Al-Fraihat, D., Joy, M. S., & Sinclair, J. E. (2017) · Warwick Research Archive Portal (University of Warwick) · doi:10.82444/warw.33746206 · Cited by 48 · see citing works
Self-citationExamining success factors in the adoption of digital object identifier systems
Park, S., Zo, H., Ciganek, A. P., & Lim, G. G. (2011) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2011.05.004 · Cited by 44 · see citing works
E-Learning Success Model: An Extention of DeLone & McLean IS' Success Model
Seta, H. B., Wati, T., Muliawati, A., et al. (2018) · Indonesian Journal of Electrical Engineering and Informatics (IJEEI) · doi:10.11591/ijeei.v6i3.505 · Cited by 44 · see citing works
Ilias, A., Razak, M. Z. A., Rahman, R. A., et al. (2009) · Computer and Information Science · doi:10.5539/cis.v2n1p18 · Cited by 32 · see citing works
Abbas, T. (2016) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-11-2015-0042 · Cited by 32 · see citing works
Developing quality in e‐learning: a framework in three parts
Ireland, J., Correia, H., & Griffin, T. (2009) · Quality Assurance in Education · doi:10.1108/09684880910970650 · Cited by 26 · see citing works
A user-satisfaction approach to IS effectiveness measurement
Remenyi, D., & Money, A. (1991) · Journal of Information Technology · doi:10.1057/jit.1991.30 · Cited by 23 · see citing works
Measuring e-learning systems success: Implementing D & M is success model
Sandjojo, N., & Wahyuningrum, T. (2015) · International Conference on Interactive Digital Media (ICIDM) · doi:10.1109/idm.2015.7516343 · Cited by 23 · see citing works
Hasan, M., Maarop, N., Samy, G. N., et al. (2017) · International Conference on Research and Innovation in Information Systems · doi:10.1109/icriis.2017.8002444 · Cited by 21 · see citing works
Understanding E-Learning System Usage Outcomes in Hybrid Courses
Islam, A. K. M. N. (2012) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.2012.613 · Cited by 20 · see citing works
A User-Satisfaction Approach to IS Effectiveness Measurement
Remenyi, D., & Money, A. (1991) · Journal of Information Technology · doi:10.1177/0268396291006003-406 · Cited by 17 · see citing works
FaizanH.Zaidi, S., Siva, S., & Marir, F. (2014) · International Journal of Applied Information Systems · doi:10.5120/ijais14-451189 · Cited by 15 · see citing works
Measurement factors model for e-learning systems success
Hagos, Y., Garfield, M. J., & Anteneh, S. (2016) · International Conference on Research Challenges in Information Science (RCIS) · doi:10.1109/rcis.2016.7549361 · Cited by 15 · see citing works
Xing, W., Kim, S. M., & Goggins, S. (2015) · Computer Supported Collaborative Learning · doi:10.22318/cscl2015.268 · Cited by 12 · see citing works
A Conceptual Model to Evaluate Virtual Learning Environment among Malaysian Teachers
Awang, H., Osman, W. R. S., & Aji, Z. M. (2018) · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · Cited by 11 · see citing works
MEASURING E-LEARNING SYSTEM SUCCESS
Cater‐Steel, A., & Soar, J. (2011) · Cited by 10 · see citing works
The Influence of Critical Factors on E-Learning Satisfaction
Ustunel, H. H. (2016) · Cited by 7 · see citing works
Effects of Self-Efficacy and Self-regulated Learning on LMS User Satisfaction and LMS Effectiveness
Eom, S. B. (2015) · Journal of the Association for Information Systems · Cited by 6 · see citing works
What Matters Most in Online SAP-Enabled Course Learning? A System View of Determinants
Zhao, Y., Bandyopadhyay, K., & Bandyopadhyay, S. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.914 · Cited by 6 · see citing works
Foreword: Quality Research for Learning, Education, and Training
Pawlowski, J. Μ., Barker, K. C., & Okamoto, T. (2007) · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 6
- Almarashdeh, I. A., Sahari, N., Zin, N. A. M., and Alsmadi, M. (2010). The success of learning management system among distance learners in malaysian universities. Journal of Theoretical and Applied Information Technology, 21(2).
- Cyert, R. M., and March, J. G. (1963). A behavioral theory of the firm. Englewood Cliffs, NJ, 2(4), 169-187.
- Fathema, N., & Sutton, K. L. (2013). Factors influencing faculty members' Learning Management Systems adoption behaviour: An analysis using the Technology Acceptance Model. International Journal of Trends in Economics Management & Technology, 2(6).
- Goodhue, D. (1986). IS attitudes: Towards theoretical definition and measurement clarity. In L. Maggi, R. Zmudand J. Wetherbe (Eds), Proceedings of Seventh International Conference on Information Systems, San Diego, Calif, 181-194.
- Hsieh, J. J. P., & Wang, W. (2007). Explaining employee's extended use of complex information systems. European Journal of Information Systems, 16(3), 216-227.
- Lee, Y. H., Hsieh, Y. C., and Hsu, C. N. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems. Journal of Educational Technology and Society, 14(4).
Cited by
Sorted by citations
Learning Management System (LMS) Use with Online Instruction
Bradley, V. M. (2020) · International Journal of Technology in Education · doi:10.46328/ijte.36 · Cited by 349 · see citing works
Halkiopoulos, C., & Gkintoni, E. (2024) · Electronics · doi:10.3390/electronics13183762 · Cited by 328 · see citing works
“In the next ten years, research into intelligent systems known as “Intelligent Strains” will further develop these capabilities to even more efficient and effective e-learning environments [123–126].”
Qin, Y., Omar, B., & Musetti, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.932805 · Cited by 237 · see citing works
Alyoussef, I. Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e13751 · Cited by 181 · see citing works
Factors Influencing Learner Attitudes Towards ChatGPT-Assisted Language Learning in Higher Education
Cai, Q., Lin, Y., & Yu, Z. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2023.2261725 · Cited by 180 · see citing works
Niu, B., & Mvondo, G. F. N. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103562 · Cited by 178 · see citing works
From concerns to benefits: A comprehensive study of ChatGPT usage in education
Jo, H. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00471-4 · Cited by 146 · see citing works
Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning
Giannakos, M. N., Mikalef, P., & Pappas, I. O. (2022) · Information Systems Frontiers · doi:10.1007/s10796-020-10097-2 · Cited by 141 · see citing works
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
McIntosh, T. R., Susnjak, T., Arachchilage, N., Liu, T., Xu, D., Watters, P., & Halgamuge, M. N. (2026) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2025.3569516 · Cited by 104 · see citing works
“While other frameworks ( e.g. , the Information Systems Success Model [38]) focus on narrower aspects, PPT is uniquely comprehensive, allowing for an in-depth assessment across multiple dimensions.”
BackgroundFrom text to e-text: perceptions of medical, dental and allied students about e-learning
Fahim, A., Rana, S., Haider, I., Jalil, V., Atif, S., Shakeel, S., & Sethi, A. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e12157 · Cited by 6 · see citing works
Xu, W., Zhu, K., Zhou, D., Wang, C., & Wen, C. (2025) · Education Sciences · doi:10.3390/educsci15070828 · Cited by 4 · see citing works
- Authors
- Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J.
- Affiliations
- University of Warwick (GB)
- Corresponding author
- Al-Fraihat, Dimah
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 102
- Pages
- 67-86
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2968091587
- Cited by
- 1,350
- References
- 158
- Citations by year
- 2026: 183 · 2025: 191 · 2024: 215 · 2023: 279 · 2022: 221 · 2021: 184 · 2020: 75 · 2019: 1 · 2018: 1
- FWCI
- 142.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Computers in Human Behavior (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- Funders
- UK
- University of Warwick
- LMS
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- e-learning systems, e-learning success, perceived usefulness, perceived satisfaction, information quality, instructor quality, university students
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
