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Perceived playfulness, gender differences and technology acceptance model in a blended learning scenario
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Cites
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
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc-rcessc.v1i1.25 · Cited by 38,891
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
(1998) · Cited by 36,049
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
Intrinsic Motivation and Self-Determination in Human Behavior
Deci, E. L., & Ryan, R. M. (1985) · doi:10.1007/978-1-4899-2271-7 · Cited by 26,772
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
(1997) · Chemometrics in Environmental Analysis · doi:10.1002/352760216x.ch5 · Cited by 18,653
Intrinsic Motivation and Self-Determination in Human Behavior
Miller, K. A., Deci, E. L., & Ryan, R. M. (1988) · Contemporary Sociology · doi:10.2307/2070638 · Cited by 15,312
Flow: the psychology of optimal experience
(1990) · Choice Reviews Online · doi:10.5860/choice.28-0597 · Cited by 12,637
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
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
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
(2005) · Cited by 6,097
A scaled difference chi-square test statistic for moment structure analysis
Satorra, A., & Bentler, P. M. (2001) · Psychometrika · doi:10.1007/bf02296192 · Cited by 5,282
Extending the TAM for a World-Wide-Web context
Moon, J.-W., & Kim, Y.-G. (2001) · Information & Management · doi:10.1016/s0378-7206(00)00061-6 · Cited by 3,802
Flow: The Psychology of Optimal Experience
Mirvis, P. H., & Csikszentmihalyi, M. (1991) · The Academy of Management Review · doi:10.2307/258925 · Cited by 3,611
Corrections to test statistics and standard errors in covariance structure analysis.
Satorra, A., & Bentler, P. M. (1994) · Cited by 2,388
Why do people play on-line games? An extended TAM with social influences and flow experience
Hsu, C.-L., & Lu, H.-P. (2004) · Information & Management · doi:10.1016/j.im.2003.08.014 · Cited by 2,003
Empirical Evaluation of the Revised Technology Acceptance Model
Szajna, B. (1996) · Management Science · doi:10.1287/mnsc.42.1.85 · Cited by 1,656
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
Roca, J. C., Chiu, C.-M., & Martínez, F. J. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.01.003 · Cited by 1,399
Latent Variables Analysis: Applications for Developmental Research.
AA, Eye, A. V., & Clogg, C. C. (1995) · Journal of the American Statistical Association · doi:10.2307/2291370 · Cited by 1,376
Intrinsic and extrinsic motivation in Internet usage
Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999) · Omega · doi:10.1016/s0305-0483(98)00028-0 · Cited by 1,357
Yi, M. Y., & Hwang, Y. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00114-9 · Cited by 1,301
Investigating the determinants and age and gender differences in the acceptance of mobile learning
Wang, Y., Wu, M., & Wang, H. (2009) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2007.00809.x · Cited by 1,218
Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005) · Information & Management · doi:10.1016/j.im.2003.10.007 · Cited by 1,184
Microcomputer Playfulness: Development of a Measure With Workplace Implications
Webster, J., & Martocchio, J. J. (1992) · MIS Quarterly · doi:10.2307/249576 · Cited by 1,106
User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model
Venkatesh, V., Speier, C., & Morris, M. G. (2002) · Decision Sciences · doi:10.1111/j.1540-5915.2002.tb01646.x · Cited by 921
Gender differences in perceptions and relationships among dominants of e-learning acceptance
Ong, C.-S., & Lai, J.-Y. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2004.03.006 · Cited by 863
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
Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.10.010 · Cited by 764
The Technology Acceptance Model: A Meta-Analysis of Empirical Findings
Ma, Q., & Liu, L. (2004) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2004010104 · Cited by 660
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 631
Gender differences in computer-related attitudes and behavior: A meta-analysis
Whitley, B. E. (1997) · Computers in Human Behavior · doi:10.1016/s0747-5632(96)00026-x · Cited by 615
Gender, Internet and computer attitudes and experiences
Schumacher, P., & Morahan-Martin, J. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00032-7 · Cited by 592
Mobile internet acceptance in Korea
Ho Cheong, J., & Park, M. (2005) · Internet Research · doi:10.1108/10662240510590324 · Cited by 589
The acceptance and use of computer based assessment
Terzis, V., & Economides, A. A. (2011) · Computers & Education · doi:10.1016/j.compedu.2010.11.017 · Cited by 443
The role of new technologies in the learning process: Moodle as a teaching tool in Physics
Martín-Blas, T., & Serrano-Fernández, A. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.06.005 · Cited by 435
A Model of Business School Students' Acceptance of a Web-Based Course Management System
Martins, L. L., & Kellermanns, F. W. (2004) · Academy of Management Learning & Education · doi:10.5465/amle.2004.12436815 · Cited by 388
Arbaugh, J. B., Godfrey, M. R., Johnson, M., Pollack, B. L., Niendorf, B., & Wresch, W. (2009) · The Internet and Higher Education · doi:10.1016/j.iheduc.2009.06.006 · Cited by 334
An Enhanced Technology Acceptance Model for Web-Based Learning
Gong, M., Xu, Y., & Yu, Y. (2004) · Journal of the Association for Information Systems · Cited by 304
Gender differences in e-learning satisfaction
González-Gómez, F., Guardiola, J., Martín Rodríguez, Ó., & Montero Alonso, M. Á. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.08.017 · Cited by 303
Web acceptance and usage model: A comparison between goal‐directed and experiential web users
Sánchez‐Franco, M. J., & Roldán, J. L. (2005) · Internet Research · doi:10.1108/10662240510577059 · Cited by 288
Chung, J., & Tan, F. B. (2004) · Information & Management · doi:10.1016/j.im.2003.08.016 · Cited by 286
The acceptance of Moodle technology by business administration students
Escobar-Rodriguez, T., & Monge-Lozano, P. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.11.012 · Cited by 265
Exploring the influence of gender on the web usage via partial least squares
Sánchez-Franco, M. J. (2006) · Behaviour & Information Technology · doi:10.1080/01449290500124536 · Cited by 236
The importance of affective quality
Zhang, P., & Li, N. (2005) · Communications of the ACM · doi:10.1145/1081992.1081997 · Cited by 231
What influences college students to continue using business simulation games? The Taiwan experience
Tao, Y.-H., Cheng, C.-J., & Sun, S.-Y. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.05.009 · Cited by 216
What determines Turkish customers' acceptance of internet banking?
Çelik, H. (2008) · International Journal of Bank Marketing · doi:10.1108/02652320810894406 · Cited by 196
User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model
Dasgupta, S., Granger, M., & McGarry, N. (2002) · Group Decision and Negotiation · doi:10.1023/a:1015221710638 · Cited by 195
Computer based assessment: Gender differences in perceptions and acceptance
Terzis, V., & Economides, A. A. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.06.005 · Cited by 194
Assessing the Acceptance of a Blended Learning University Course
Tselios, N. K., Daskalakis, S., & Παπαδοπούλου, Μ. (2011) · Educational Technology & Society · Cited by 170
Çelik, H. (2011) · International Journal of Retail & Distribution Management · doi:10.1108/09590551111137967 · Cited by 163
Sánchez-Franco, M. J., Martínez-López, F. J., & Martín-Velicia, F. A. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.11.006 · Cited by 162
Sanchez-Franco, M. J. (2010) · Computers & Education · doi:10.1016/j.compedu.2009.07.005 · Cited by 161
Conceptualizing and Measuring the Optimal Experience of the eLearning Environment*
Davis, R., & Wong, D. (2007) · Decision Sciences Journal of Innovative Education · doi:10.1111/j.1540-4609.2007.00129.x · Cited by 160
Task-technology fit and user acceptance of online auction
Chang, H. H. (2009) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2009.09.010 · Cited by 155
Παπαστεργίου, Μ., & Solomonidou, C. (2004) · Computers & Education · doi:10.1016/j.compedu.2004.04.002 · Cited by 149
Gender differences in the perception and acceptance of online games
Wang, H., & Wang, Y. (2008) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2007.00773.x · Cited by 131
Consumer adoption of virtual stores in Korea: Focusing on the role of trust and playfulness
Oh, S. H., Kim, Y. M., Lee, C. W., Shim, G. Y., Park, M. S., & Jung, H. S. (2009) · Psychology and Marketing · doi:10.1002/mar.20293 · Cited by 121
Factors affecting e-collaboration technology use among management students
Meléndez, A. P., Garrido‐Moreno, A., & Obra, A. R. D. Á. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.06.013 · Cited by 105
Self-citationDomains and determinants of university students’ self-perceived computer competence
van Braak, J. P. (2004) · Computers & Education · doi:10.1016/j.compedu.2003.09.006 · Cited by 99
Hong, J.-C., Hwang, M.-Y., Hsu, H.-F., Wong, W.-T., & Chen, M.-Y. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.04.011 · Cited by 85
Sun, H., & Zhang, P. (2008) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20819 · Cited by 76
Chou, C., Wu, H., & Chen, C. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.11.004 · Cited by 68
Factors influencing personal computer usage: the gender gap
Teo, T. S. H., & Lim, V. K. G. (1996) · Women in Management Review · doi:10.1108/09649429610148746 · Cited by 68
Kim, Y. (2010) · Journal of Information Science · doi:10.1177/0165551510377709 · Cited by 62
User acceptance of computer-mediated communication: The SkypeOut case
Liao, C., & Tsou, C. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.05.015 · Cited by 56
The input-interface of Webcam applied in 3D virtual reality systems
Sun, H., & Cheng, W.-L. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.06.006 · Cited by 43
McDonald, S. J. (2008) · NASPA Journal · doi:10.2202/1949-6605.1953 · Cited by 6
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Marangunić, N., & Granić, A. (2015) · Universal Access in the Information Society · doi:10.1007/s10209-014-0348-1 · Cited by 2,458
Challenges in the online component of blended learning: A systematic review
Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103701 · Cited by 1,472
Technology acceptance model in educational context: A systematic literature review
Granić, A., & Marangunić, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12864 · Cited by 1,204
Abdullah, F., & Ward, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.036 · Cited by 986
Alfadda, H. A., & Mahdi, H. S. (2021) · Journal of Psycholinguistic Research · doi:10.1007/s10936-020-09752-1 · Cited by 438
Metadata
- Authors
- Padilla-Meléndez, A., del Aguila-Obra, A. R., & Garrido-Moreno, A.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 63
- Pages
- 306-317
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2072390610
- Cited by
- 447
- References
- 71
- FWCI
- 33.74
- Type
- journal article
- Language
- en
- Open access
- closed
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