A Meta-Analytic Path Analysis of e-Learning Acceptance Model
This study reports results of a meta-analytic path analysis e-learning Acceptance Model with k = 27 studies, Databases searched included Information Sciences Institute (ISI) website. Variables recorded included perceived usefulness, perceived ease of use, attitude toward behavior, and behavioral intention to use e-learning. A correlation matrix of these variables was derived from meta-analytic data and then analyzed by using structural path analysis to test the fitness of the e-learning acceptance model to the observed aggregated data. Results showed the revised hypothesized model to be a reasonable, good fit to aggregated data. Furthermore, discussions and implications are given in this article.
[1] K. M. Lin, "e-Learning continuance intention: Moderating effects of user
e-learning experience," Computers & Education, vol. 56, pp. 515-526,
Feb 2011.
[2] T. Zhou, H. X. Li, and Y. Liu, "The effect of flow experience on mobile
SNS users' loyalty," Industrial Management & Data Systems, vol. 110,
pp. 930-946, 2010.
[3] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, "User acceptance of
computer technology: a comparison of two theoretical models,"
Management science, pp. 982-1003, 1989.
[4] S. Y. Yousafzai, G. R. Foxall, and J. G. Pallister, "Explaining Internet
Banking Behavior: Theory of Reasoned Action, Theory of Planned
Behavior, or Technology Acceptance Model?," Journal of Applied Social
Psychology, vol. 40, pp. 1172-1202, May 2010.
[5] D. C. Yen, C. S. Wu, F. F. Cheng, and Y. W. Huang, "Determinants of
users' intention to adopt wireless technology: An empirical study by
integrating TTF with TAM," Computers in Human Behavior, vol. 26, pp.
906-915, Sep 2010.
[6] M. K. O. Lee, C. M. K. Cheung, and Z. Chen, "Acceptance of
Internet-based learning medium: the role of extrinsic and intrinsic
motivation," Information & Management, vol. 42, pp. 1095-1104, 2005.
[7] R. A. Martinez, M. Milans del Bosch, M. Henar Perez Herrero, and A.
Sampedro Nuno, "Psychopedagogical components and processes in
e-learning. Lessons from an unsuccessful on-line course," Computers in
human behavior, vol. 23, pp. 146-161, 2007.
[8] R. G. Saadé, F. Nebebe, and W. Tan, "Viability of the'Technology
Acceptance Model' in Multimedia Learning Environments: A
Comparative Study," Interdisciplinary Journal of Knowledge and
Learning Objects, vol. 3, pp. 175-184, 2007.
[9] B. C. Lee, J. O. Yoon, and I. Lee, "Learners' acceptance of e-learning in
South Korea: Theories and results," Computers & Education, vol. 53, pp.
1320-1329, 2009.
[10] S. Y. Park, "An analysis of the technology acceptance model in
understanding university students' behavioral intention to use e-learning,"
Educational Technology & Society, vol. 12, pp. 150-162, 2009.
[11] M. J. Sanchez-Franco, "WebCT - The quasimoderating effect of
perceived affective quality on an extending Technology Acceptance
Model," Computers & Education, vol. 54, pp. 37-46, Jan 2010.
[12] E. E. Grandon, K. Alshare, and O. Kwun, "Factors influencing student
intention to adopt online classes: a cross-cultural study," Journal of
Computing Sciences in Colleges, vol. 20, pp. 46-56, 2005.
[13] C. M. Chiu, S. Y. Sun, P. C. Sun, and T. L. Ju, "An empirical analysis of
the antecedents of web-based learning continuance," Computers &
Education, vol. 49, pp. 1224-1245, 2007.
[14] L. Pavlic, M. Pušnik, M. Hericko, and B. Šumak, "Qualitative Analysis:
Identification of the Factors Influencing e-Learning System Acceptance,"
2011, pp. 40-45.
[15] R. P. Tett and J. P. Meyer, "Job satisfaction, organizational commitment,
turnover intention, and turnover: path analyses based on metaÔÇÉ analytic
findings," Personnel psychology, vol. 46, pp. 259-293, 1993.
[16] G. Polancic, M. Hericko, and I. Rozman, "An empirical examination of
application frameworks success based on technology acceptance model,"
Journal of Systems and Software, vol. 83, pp. 574-584, Apr 2010.
[17] R. A. Sanchez and A. D. Hueros, "Motivational factors that influence the
acceptance of Moodle using TAM," Computers in Human Behavior, vol.
26, pp. 1632-1640, Nov 2010.
[18] M. Igbaria, S. Parasuraman, and J. J. Baroudi, "A motivational model of
microcomputer usage," Journal of Management Information Systems,
vol. 13, pp. 127-143, 1996.
[19] S. P. Brown and R. A. Peterson, "Antecedents and consequences of
salesperson job satisfaction: Meta-analysis and assessment of causal
effects," Journal of Marketing Research, 1993.
[20] J. E. Hunter and F. L. Schmidt, Methods of meta-analysis: Correcting
error and bias in research findings: Sage Publications, Inc, 2004.
[21] C. Viswesvaran and D. S. Ones, "Theory testing: combining
psychometric meta ÔÇÉ analysis and structural equations modeling,"
Personnel psychology, vol. 48, pp. 865-885, 1995.
[22] K. G. Jöreskog and D. Sörbom, LISREL 8 user's reference guide:
Scientific Software, 1996.
[23] J. F. Hair, R. P. Bush, and D. J. Ortinau, Marketing research: Within a
changing information environment vol. 22: McGraw-Hil, 2003.
[24] M. W. Browne and R. Cudeck, "Alternative ways of assessing model fit,"
Sage focus editions, vol. 154, pp. 136-136, 1993.
[25] W. R. King and J. He, "A meta-analysis of the technology acceptance
model," Information & Management, vol. 43, pp. 740-755, 2006.
[26] H. J. Eysenck, "Systematic reviews: Meta-analysis and its problems," Bmj,
vol. 309, pp. 789-792, 1994.
[27] G. A. Rosenthal and D. H. Janzen, Herbivores: New York, London, etc.:
Academic Press, 1979.
[28] A. R. Alenezi, a. M. Abdul karim, and a. Veloo, "an empirical
investigation into the role of enjoyment, computer anxiety, computer
self-efficacy and internet experience in influencing the students' intention
to use e-learning: a case study from saudi arabian governmental
universities," turkish online journal of Educational Technology, vol. 9, pp.
22-34, Oct 2010.
[29] A. Balog and C. Pribeanu, "Developing a Measurement Scale for the
Evaluation of AR-Based Educational Systems," Studies in Informatics
and Control, vol. 18, pp. 137-148, Jun 2009.
[30] S. C. Chang and F. C. Tung, "An empirical investigation of students'
behavioural intentions to use the online learning course websites," British
Journal of Educational Technology, vol. 39, pp. 71-83, Jan 2008.
[31] H. J. Chen, "Linking employees' e-learning system use to their overall job
outcomes: An empirical study based on the IS success model," Computers
& Education, vol. 55, pp. 1628-1639, Dec 2010.
[32] Y. M. Cheng, "Antecedents and consequences of e-learning acceptance,"
Information Systems Journal, vol. 21, pp. 269-299, May 2011.
[33] W. Cheung and W. Huang, "Proposing a framework to assess Internet
usage in university education: an empirical investigation from a student's
perspective," British Journal of Educational Technology, vol. 36, pp.
237-253, Mar 2005.
[34] W. Cheung and W. Huang, "Proposing a framework to assess Internet
usage in university education: an empirical investigation from a student's
perspective," British Journal of Educational Technology, vol. 36, pp.
237-253, Mar 2005.
[35] V. Cho, T. C. E. Cheng, and W. M. J. Lai, "The role of perceived
user-interface design in continued usage intention of self-paced
e-learning tools," Computers & Education, vol. 53, pp. 216-227, Sep
2009.
[36] S. H. Lau and P. C. Woods, "Understanding learner acceptance of
learning objects: The roles of learning object characteristics and
individual differences," British Journal of Educational Technology, vol.
40, pp. 1059-1075, Nov 2009.
[37] B. C. Lee, J. O. Yoon, and I. Lee, "Learners' acceptance of e-learning in
South Korea: Theories and results," Computers & Education, vol. 53, pp.
1320-1329, Dec 2009.
[38] M. C. Lee, "Explaining and predicting users' continuance intention
toward e-learning: An extension of the expectation-confirmation model,"
Computers & Education, vol. 54, pp. 506-516, Feb 2010.
[39] Y. C. Lee, "An empirical investigation into factors influencing the
adoption of an e-learning system," Online Information Review, vol. 30,
pp. 517-541, 2006.
[40] Y. H. Lee, Y. C. Hsieh, and C. Y. Ma, "A model of organizational
employees' e-learning systems acceptance," Knowledge-Based Systems,
vol. 24, pp. 355-366, Apr 2011.
[41] K. M. Lin, "e-Learning continuance intention: Moderating effects of user
e-learning experience," Computers & Education, vol. 56, pp. 515-526,
Feb 2011.
[42] K. M. Lin, N. S. Chen, and K. T. Fang, "Understanding e-learning
continuance intention: a negative critical incidents perspective,"
Behaviour & Information Technology, vol. 30, pp. 77-89, 2011.
[43] S. H. Liu, H. L. Liao, and J. A. Pratt, "Impact of media richness and flow
on e-learning technology acceptance," Computers & Education, vol. 52,
pp. 599-607, Apr 2009.
[44] M. R. Martinez-Torres, S. L. T. Marin, F. B. Garcia, S. G. Vazquez, M. A.
Oliva, and T. Torres, "A technological acceptance of e-learning tools used
in practical and laboratory teaching, according to the European higher
education area," Behaviour & Information Technology, vol. 27, pp.
495-505, 2008.
[45] E. W. T. Ngai, J. K. L. Poon, and Y. H. C. Chan, "Empirical examination
of the adoption of WebCT using TAM," Computers & Education, vol. 48,
pp. 250-267, Feb 2007.
[46] N. Park, K. M. Lee, and P. H. Cheong, "University instructors' acceptance
of electronic courseware: An application of the technology acceptance
model," Journal of Computer-Mediated Communication, vol. 13, Oct
2007.
[47] S. Y. Park, "An Analysis of the Technology Acceptance Model in
Understanding University Students' Behavioral Intention to Use
e-Learning," Educational Technology & Society, vol. 12, pp. 150-162,
2009.
[48] K. A. Pituch and Y. K. Lee, "The influence of system characteristics on
e-learning use," Computers & Education, vol. 47, pp. 222-244, Sep 2006.
[49] R. A. Sanchez and A. D. Hueros, "Motivational factors that influence the
acceptance of Moodle using TAM," Computers in Human Behavior, vol.
26, pp. 1632-1640, Nov 2010.
[50] O. Sorebo, H. Halvari, V. F. Gulli, and R. Kristiansen, "The role of
self-determination theory in explaining teachers' motivation to continue
to use e-learning technology," Computers & Education, vol. 53, pp.
1177-1187, Dec 2009.
[51] B. Sumak, M. Hericko, G. Polancic, and M. Pusnik, "Investigation of
E-Learning System Acceptance using UTAUT," International Journal of
Engineering Education, vol. 26, pp. 1327-1342, 2010.
[52] F. C. Tung and S. C. Chang, "A new hybrid model for exploring the
adoption of online nursing courses," Nurse Education Today, vol. 28, pp.
293-300, Apr 2008.
[53] F. C. Tung and S. C. Chang, "Nursing students' behavioral intention to
use online courses: A questionnaire survey," International Journal of
Nursing Studies, vol. 45, pp. 1299-1309, Sep 2008.
[54] E. M. van Raaij and J. J. L. Schepers, "The acceptance and use of a virtual
learning environment in China," Computers & Education, vol. 50, pp.
838-852, Apr 2008.
[1] K. M. Lin, "e-Learning continuance intention: Moderating effects of user
e-learning experience," Computers & Education, vol. 56, pp. 515-526,
Feb 2011.
[2] T. Zhou, H. X. Li, and Y. Liu, "The effect of flow experience on mobile
SNS users' loyalty," Industrial Management & Data Systems, vol. 110,
pp. 930-946, 2010.
[3] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, "User acceptance of
computer technology: a comparison of two theoretical models,"
Management science, pp. 982-1003, 1989.
[4] S. Y. Yousafzai, G. R. Foxall, and J. G. Pallister, "Explaining Internet
Banking Behavior: Theory of Reasoned Action, Theory of Planned
Behavior, or Technology Acceptance Model?," Journal of Applied Social
Psychology, vol. 40, pp. 1172-1202, May 2010.
[5] D. C. Yen, C. S. Wu, F. F. Cheng, and Y. W. Huang, "Determinants of
users' intention to adopt wireless technology: An empirical study by
integrating TTF with TAM," Computers in Human Behavior, vol. 26, pp.
906-915, Sep 2010.
[6] M. K. O. Lee, C. M. K. Cheung, and Z. Chen, "Acceptance of
Internet-based learning medium: the role of extrinsic and intrinsic
motivation," Information & Management, vol. 42, pp. 1095-1104, 2005.
[7] R. A. Martinez, M. Milans del Bosch, M. Henar Perez Herrero, and A.
Sampedro Nuno, "Psychopedagogical components and processes in
e-learning. Lessons from an unsuccessful on-line course," Computers in
human behavior, vol. 23, pp. 146-161, 2007.
[8] R. G. Saadé, F. Nebebe, and W. Tan, "Viability of the'Technology
Acceptance Model' in Multimedia Learning Environments: A
Comparative Study," Interdisciplinary Journal of Knowledge and
Learning Objects, vol. 3, pp. 175-184, 2007.
[9] B. C. Lee, J. O. Yoon, and I. Lee, "Learners' acceptance of e-learning in
South Korea: Theories and results," Computers & Education, vol. 53, pp.
1320-1329, 2009.
[10] S. Y. Park, "An analysis of the technology acceptance model in
understanding university students' behavioral intention to use e-learning,"
Educational Technology & Society, vol. 12, pp. 150-162, 2009.
[11] M. J. Sanchez-Franco, "WebCT - The quasimoderating effect of
perceived affective quality on an extending Technology Acceptance
Model," Computers & Education, vol. 54, pp. 37-46, Jan 2010.
[12] E. E. Grandon, K. Alshare, and O. Kwun, "Factors influencing student
intention to adopt online classes: a cross-cultural study," Journal of
Computing Sciences in Colleges, vol. 20, pp. 46-56, 2005.
[13] C. M. Chiu, S. Y. Sun, P. C. Sun, and T. L. Ju, "An empirical analysis of
the antecedents of web-based learning continuance," Computers &
Education, vol. 49, pp. 1224-1245, 2007.
[14] L. Pavlic, M. Pušnik, M. Hericko, and B. Šumak, "Qualitative Analysis:
Identification of the Factors Influencing e-Learning System Acceptance,"
2011, pp. 40-45.
[15] R. P. Tett and J. P. Meyer, "Job satisfaction, organizational commitment,
turnover intention, and turnover: path analyses based on metaÔÇÉ analytic
findings," Personnel psychology, vol. 46, pp. 259-293, 1993.
[16] G. Polancic, M. Hericko, and I. Rozman, "An empirical examination of
application frameworks success based on technology acceptance model,"
Journal of Systems and Software, vol. 83, pp. 574-584, Apr 2010.
[17] R. A. Sanchez and A. D. Hueros, "Motivational factors that influence the
acceptance of Moodle using TAM," Computers in Human Behavior, vol.
26, pp. 1632-1640, Nov 2010.
[18] M. Igbaria, S. Parasuraman, and J. J. Baroudi, "A motivational model of
microcomputer usage," Journal of Management Information Systems,
vol. 13, pp. 127-143, 1996.
[19] S. P. Brown and R. A. Peterson, "Antecedents and consequences of
salesperson job satisfaction: Meta-analysis and assessment of causal
effects," Journal of Marketing Research, 1993.
[20] J. E. Hunter and F. L. Schmidt, Methods of meta-analysis: Correcting
error and bias in research findings: Sage Publications, Inc, 2004.
[21] C. Viswesvaran and D. S. Ones, "Theory testing: combining
psychometric meta ÔÇÉ analysis and structural equations modeling,"
Personnel psychology, vol. 48, pp. 865-885, 1995.
[22] K. G. Jöreskog and D. Sörbom, LISREL 8 user's reference guide:
Scientific Software, 1996.
[23] J. F. Hair, R. P. Bush, and D. J. Ortinau, Marketing research: Within a
changing information environment vol. 22: McGraw-Hil, 2003.
[24] M. W. Browne and R. Cudeck, "Alternative ways of assessing model fit,"
Sage focus editions, vol. 154, pp. 136-136, 1993.
[25] W. R. King and J. He, "A meta-analysis of the technology acceptance
model," Information & Management, vol. 43, pp. 740-755, 2006.
[26] H. J. Eysenck, "Systematic reviews: Meta-analysis and its problems," Bmj,
vol. 309, pp. 789-792, 1994.
[27] G. A. Rosenthal and D. H. Janzen, Herbivores: New York, London, etc.:
Academic Press, 1979.
[28] A. R. Alenezi, a. M. Abdul karim, and a. Veloo, "an empirical
investigation into the role of enjoyment, computer anxiety, computer
self-efficacy and internet experience in influencing the students' intention
to use e-learning: a case study from saudi arabian governmental
universities," turkish online journal of Educational Technology, vol. 9, pp.
22-34, Oct 2010.
[29] A. Balog and C. Pribeanu, "Developing a Measurement Scale for the
Evaluation of AR-Based Educational Systems," Studies in Informatics
and Control, vol. 18, pp. 137-148, Jun 2009.
[30] S. C. Chang and F. C. Tung, "An empirical investigation of students'
behavioural intentions to use the online learning course websites," British
Journal of Educational Technology, vol. 39, pp. 71-83, Jan 2008.
[31] H. J. Chen, "Linking employees' e-learning system use to their overall job
outcomes: An empirical study based on the IS success model," Computers
& Education, vol. 55, pp. 1628-1639, Dec 2010.
[32] Y. M. Cheng, "Antecedents and consequences of e-learning acceptance,"
Information Systems Journal, vol. 21, pp. 269-299, May 2011.
[33] W. Cheung and W. Huang, "Proposing a framework to assess Internet
usage in university education: an empirical investigation from a student's
perspective," British Journal of Educational Technology, vol. 36, pp.
237-253, Mar 2005.
[34] W. Cheung and W. Huang, "Proposing a framework to assess Internet
usage in university education: an empirical investigation from a student's
perspective," British Journal of Educational Technology, vol. 36, pp.
237-253, Mar 2005.
[35] V. Cho, T. C. E. Cheng, and W. M. J. Lai, "The role of perceived
user-interface design in continued usage intention of self-paced
e-learning tools," Computers & Education, vol. 53, pp. 216-227, Sep
2009.
[36] S. H. Lau and P. C. Woods, "Understanding learner acceptance of
learning objects: The roles of learning object characteristics and
individual differences," British Journal of Educational Technology, vol.
40, pp. 1059-1075, Nov 2009.
[37] B. C. Lee, J. O. Yoon, and I. Lee, "Learners' acceptance of e-learning in
South Korea: Theories and results," Computers & Education, vol. 53, pp.
1320-1329, Dec 2009.
[38] M. C. Lee, "Explaining and predicting users' continuance intention
toward e-learning: An extension of the expectation-confirmation model,"
Computers & Education, vol. 54, pp. 506-516, Feb 2010.
[39] Y. C. Lee, "An empirical investigation into factors influencing the
adoption of an e-learning system," Online Information Review, vol. 30,
pp. 517-541, 2006.
[40] Y. H. Lee, Y. C. Hsieh, and C. Y. Ma, "A model of organizational
employees' e-learning systems acceptance," Knowledge-Based Systems,
vol. 24, pp. 355-366, Apr 2011.
[41] K. M. Lin, "e-Learning continuance intention: Moderating effects of user
e-learning experience," Computers & Education, vol. 56, pp. 515-526,
Feb 2011.
[42] K. M. Lin, N. S. Chen, and K. T. Fang, "Understanding e-learning
continuance intention: a negative critical incidents perspective,"
Behaviour & Information Technology, vol. 30, pp. 77-89, 2011.
[43] S. H. Liu, H. L. Liao, and J. A. Pratt, "Impact of media richness and flow
on e-learning technology acceptance," Computers & Education, vol. 52,
pp. 599-607, Apr 2009.
[44] M. R. Martinez-Torres, S. L. T. Marin, F. B. Garcia, S. G. Vazquez, M. A.
Oliva, and T. Torres, "A technological acceptance of e-learning tools used
in practical and laboratory teaching, according to the European higher
education area," Behaviour & Information Technology, vol. 27, pp.
495-505, 2008.
[45] E. W. T. Ngai, J. K. L. Poon, and Y. H. C. Chan, "Empirical examination
of the adoption of WebCT using TAM," Computers & Education, vol. 48,
pp. 250-267, Feb 2007.
[46] N. Park, K. M. Lee, and P. H. Cheong, "University instructors' acceptance
of electronic courseware: An application of the technology acceptance
model," Journal of Computer-Mediated Communication, vol. 13, Oct
2007.
[47] S. Y. Park, "An Analysis of the Technology Acceptance Model in
Understanding University Students' Behavioral Intention to Use
e-Learning," Educational Technology & Society, vol. 12, pp. 150-162,
2009.
[48] K. A. Pituch and Y. K. Lee, "The influence of system characteristics on
e-learning use," Computers & Education, vol. 47, pp. 222-244, Sep 2006.
[49] R. A. Sanchez and A. D. Hueros, "Motivational factors that influence the
acceptance of Moodle using TAM," Computers in Human Behavior, vol.
26, pp. 1632-1640, Nov 2010.
[50] O. Sorebo, H. Halvari, V. F. Gulli, and R. Kristiansen, "The role of
self-determination theory in explaining teachers' motivation to continue
to use e-learning technology," Computers & Education, vol. 53, pp.
1177-1187, Dec 2009.
[51] B. Sumak, M. Hericko, G. Polancic, and M. Pusnik, "Investigation of
E-Learning System Acceptance using UTAUT," International Journal of
Engineering Education, vol. 26, pp. 1327-1342, 2010.
[52] F. C. Tung and S. C. Chang, "A new hybrid model for exploring the
adoption of online nursing courses," Nurse Education Today, vol. 28, pp.
293-300, Apr 2008.
[53] F. C. Tung and S. C. Chang, "Nursing students' behavioral intention to
use online courses: A questionnaire survey," International Journal of
Nursing Studies, vol. 45, pp. 1299-1309, Sep 2008.
[54] E. M. van Raaij and J. J. L. Schepers, "The acceptance and use of a virtual
learning environment in China," Computers & Education, vol. 50, pp.
838-852, Apr 2008.
@article{"International Journal of Business, Human and Social Sciences:62783", author = "David W.S. Tai and Ren-Cheng Zhang and Sheng-Hung Chang and Chin-Pin Chen and Jia-Ling Chen", title = "A Meta-Analytic Path Analysis of e-Learning Acceptance Model", abstract = "This study reports results of a meta-analytic path analysis e-learning Acceptance Model with k = 27 studies, Databases searched included Information Sciences Institute (ISI) website. Variables recorded included perceived usefulness, perceived ease of use, attitude toward behavior, and behavioral intention to use e-learning. A correlation matrix of these variables was derived from meta-analytic data and then analyzed by using structural path analysis to test the fitness of the e-learning acceptance model to the observed aggregated data. Results showed the revised hypothesized model to be a reasonable, good fit to aggregated data. Furthermore, discussions and implications are given in this article.
", keywords = "E-learning, Meta Analytic Path Analysis, Technology
Acceptance Model", volume = "6", number = "5", pages = "989-4", }
