E-learning System Acceptance Factors for Training: A Study of Employees Perception in Tourism Industry
Abstract
Training is critical in tourism industry to stay ahead of competitors. Having state of art technology and Internet set foundation for e-learning systems for training purposes. This paper focuses on the acceptance of e-learning systems for training in e-tourism companies. Building upon TAM, a framework is developed and survey helps to provide evidence for present research. Findings emphasize on the necessity of computing experience, attitude, and motivation among employees to accept e-learning systems as a tool of training. Finally, the success of e-training lies in the hand of every single individual within organization and the discussion is available.
References
[1] Agarwal, R., and Prasad, J. 1999. Are individual differences germane to the acceptance of new information technologies? Decision sciences, 30 (2): 361-391, DOI: 10.1111/j.1540-5915.1999.tb01614.x
[2] Ajzen, I. 1989. Attitude structure and behavior. In Breckler, S.J., and Greenwald, A.G., Eds., Attitude Structure and Function, Lawrence Erlbaum, Hillsdale, 241-274 pp., Available at: https://www.researchgate.net/publication/264666774_Attitude_structure_and_behavior
[3] Bagozzi, R.P. 1981. Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of personality and social psychology, 41(4): 607-627
[4] Bergeron, F., and RAYMOND, L. 1992. Planning of information systems to gain a competitive edge. Journal of Small Business Managemen : 21-26, January.
[5] Billett, S. 2001. Learning through work: workplace affordances and individual engagement. Journal of Workplace Learning, 13 (5): 209-214.
[6] Burton-Jones, A. 2001. Knowledge capitalism: Business, work, and learning in the new economy. Oxford University Press, ISBN: 0199242542, 9780199242542, 248 pp.
[7] Capece, G., and Campisi, D. 2013. User satisfaction affecting the acceptance of an e-learning platform as a mean for the development of the human capital. Behaviour & Information Technology, 32 (4): 335-343.
[8] Carr, N. 2010. The shallows: How the internet is changing the way we think, read and remember, Atlantic Books Ltd., ISBN: 1848872259, 9781848872257, 276 pp.
[9] Collis, J. and Hussey, R. 2013. Business research: A practical guide for undergraduate and postgraduate students, 4th edition edition, Palgrave Macmillan, ISBN-10: 0230301835, 376 pp.
[10] Cronbach, L.J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika, 16 (3): 297-334.
[11] Davis, F.D., Bagozzi, R.P., and Warshaw, P.R. 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35 (8): 982-1003.
[12] Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. 1992. Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22 (14): 1111-1132.
[13] Derouin, R.E., Fritzsche, B.A., and Salas, E. 2005. E-learning in organizations. Journal of Management, 31 (6): 920-940.
[14] Dublin, C. 2007. Success with e-learning., Alexandria, V.A: American Society for Training and Development
[15] Engeström, Y. 2001. Expansive learning at work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 14 (1): 133-156.
[16] Fenech, T. 1998. Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web. Computer Networks and ISDN Systems, 30: 629-630.
[17] Fornell, C. and Larcker, D.F. 1981. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18 (3): 382-388, DOI: 10.2307/3150980
[18] Garrison, D.R. 2011. E-learning in the 21st century: A framework for research and practice, Taylor & Francis, ISBN: 1136879919, 9781136879913, 184 pp.
[19] Hair, J.F. 2010. Multivariate data analysis., Prentice Hall, ISBN: 0138132631, 9780138132637, 785 pp.
[20] Hair, J.F., Sarstedt, M., Ringle, C.M. and Mena, J.A. 2012. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40 (3): 414-433.
[21] Hamburg, I., Engert, S., Anke, P., Marin, M. and Imikmbereich, E.C.A. 2008. Improving e-learning 2.0-based training strategies of SMEs through communities of practice. Learning, 2: 610-012, Available at: http://www.academia.edu/17434805/Improving_e-learning_2.0-based_training_strategies_of_SMEs_through_communities_of_practice
[22] Hausenblas, H.A., Carron, A.V. and Mack, D.E. 1997. Application of the Theories of Reasoned Action. Journal of Sport & Exercise Psychology, 19: 36-51, Available at : http://fitnessforlife.org/AcuCustom/Sitename/Documents/DocumentItem/1205.pdf
[23] Igbaria, M., and Iivari, J. 1995. The effects of self-efficacy on computer usage. Omega, 23 (6): 587-605.
[24] Ingrassia, P.L., Foletti, M., Djalali, A., Scarone, P., Ragazzoni, L., Corte, F.D., Kaptan, K., Lupescu, O., Arculeo, C., and Von Arnim, G. 2014. Education and training initiatives for crisis management in the European Union: a web-based analysis of available programs. Prehospital and disaster medicine, 29 (2): 115-126.
[25] Kasprisin, C.A., Single, P.B., Single, R.M., and Muller, C.B. 2003. Building a better bridge: Testing e-training to improve e-mentoring programmes in higher education. Mentoring and Tutoring, 11 (1): 67-78.
[26] Lee, S., and Kim, B.G. 2015. Users' preferential factors in Web-based e-learning systems for ease of workplace learning in Korea. Learning and Individual Differences, 39: 96-104.
[27] Lim, H., Lee, S.G., and Nam, K. 2007. Validating E-learning factors affecting training effectiveness. International Journal of Information Management, 27 (1) : 22-35.
[28] Meyen, E.L., Aust, R., Gauch, J.M., Hinton, H.S., Isaacson, R.E., Smith, S.J., and Tee, M.Y. 2002. E-Learning: A programmatic research construct for the future. Journal of Special Education Technology, 17 (3): 37-46.
[29] Moore, G.C. and Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2 (3): 192-222. Available at: http://130.18.86.27/faculty/warkentin/SecurityPapers/Merrill/MooreBenbasat1991_ISR2_3_DevelopInstrumentMeasurePerceptAdoptITInnovation.pdf
[30] Moradi, L., Yahya, Y., Mohamed, I., and Raisian, K. 2017. A Study of Factors Influencing Online Purchasing Intention within E-tourism Setting. Journal of Environmental Management and Tourism, 8 (4): 882-895.
[31] Ndubisi, N.O., and Jantan, M. 2003. Evaluating IS usage in Malaysian small and medium-sized firms using the technology acceptance model. Logistics Information Management, 16 (6): 440-450.
[32] Nof, S.Y., Ceroni, J., Jeong, W., and Moghaddam, M. 2015. E-Learning and E-Training, in Revolutionizing Collaboration through e-Work, e-Business, and e-Service, ISBN: 978-3-662-45776-4, 357-390 pp., DOI: 10.1007/978-3-662-45777-1 Springer.
[33] Raab, R.T., Ellis, W.W., and Abdon, B.R. 2001. Multisectoral partnerships in e-learning: a potential force for improved human capital development in the Asia Pacific. The Internet and higher education, 4 (3–4): 217-229.
[34] Raisian, K., and Yahaya, J. 2016. Security Issues Model on Cloud Computing: A Case of Malaysia. International Journal of Advanced Computer Science and Applications (IJACSA), 6 (8): 216-223, Available at: https://thesai.org/Downloads/Volume6No8/Paper_29Security_Issues_Model_on_Cloud_Computing_A_Case_of_Malaysia.pdf
[35] Raisian, K., and Yahaya, J.A. 2015. Research Framework for Environmental Quarry System, 2nd International Research Management & Innovation Conference (IRMIC 2015) LANGKAWI, 26-27 pp.
[36] Raisian, K., Ibrahim, O., and Nilashi, M. 2013. Customer Trust Model for Malaysian Internet Banking., Journal of Information Engineering and Applications, 3 (13): 48-61, ISSN 2224-5782, Available at: https://www.researchgate.net/publication/309201221_Customer_Trust_Model_for_Malaysian_Internet_Banking (accessed Dec 19 2017).
[37] Raisian, K., Minouei, A., Khosravi, A., Hashemi, A., Nilashi, M., Ibrahim, O., Zakaria, R., and Nazari, M. 2014. Multi-Criteria Approach for Customer Trust Model in Internet Banking: A Case of UTM CIBM Bank. Life Science Journal, 11 (6): 81-93
[38] Raisian, K., Yahaya, J., and Deraman, A. 2016a. Current challenges and conceptual model of green and sustainable software engineering. Journal of Theoretical and Applied Information Technology, 94 (2): 428-443, Available at: http://www.jatit.org/volumes/Vol94No2/18Vol94No2.pdf
[39] Raisian, K., Yahaya, J., Deraman, A., Hamdan, A.R., Rais, I.A.I., and Yahaya, N.Z. 2016b. A model for environmental quarry system based on particles, vibration and noise components. Journal of Environmental Management & Tourism, Volume 7 Issue 2(14): 186-194, Summer, ISSN 2068 – 7729
[40] Sambrook, S. 2003. E-learning in small organisations. Education+ Training, Volume 45, Issue 8 (9): 506-516.
[41] Segars, A.H., and Grover, V. 1993. Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS quarterly, 17 (4): 517-525
[42] Sekaran, U., Bougie, R. 2003. Research methods for business: A skill building approach. Volume 1, John Wiley and Sons Inc., New York, ISBN: 0471384488, 9780471384489 450 pp.
[43] Tzeng, G.H., Chiang, C.H. and Li, C.W. 2007. Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert systems with Applications, 32 (4): 1028-1044.
[44] Venkatesh, V., and Davis, F.D. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46 (2): 186-204.
[45] Venkatesh, V., Morris, M.G., Davis, G.B. and DAVIS, F.D. 2003. User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3): 425-478, Available at : https://nwresearch.wikispaces.com/file/view/Venkatesh+User+Acceptance+of+Information+Technology+2003.pdf
[46] Venkatesh, V., Speier, C., and Morris, M.G. 2002. User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33 (2): 297-316.
[47] Yang, H.D., and Yoo, Y. 2004. It's all about attitude: revisiting the technology acceptance model. Decision Support Systems, 38 (1): 19-31.
[2] Ajzen, I. 1989. Attitude structure and behavior. In Breckler, S.J., and Greenwald, A.G., Eds., Attitude Structure and Function, Lawrence Erlbaum, Hillsdale, 241-274 pp., Available at: https://www.researchgate.net/publication/264666774_Attitude_structure_and_behavior
[3] Bagozzi, R.P. 1981. Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of personality and social psychology, 41(4): 607-627
[4] Bergeron, F., and RAYMOND, L. 1992. Planning of information systems to gain a competitive edge. Journal of Small Business Managemen : 21-26, January.
[5] Billett, S. 2001. Learning through work: workplace affordances and individual engagement. Journal of Workplace Learning, 13 (5): 209-214.
[6] Burton-Jones, A. 2001. Knowledge capitalism: Business, work, and learning in the new economy. Oxford University Press, ISBN: 0199242542, 9780199242542, 248 pp.
[7] Capece, G., and Campisi, D. 2013. User satisfaction affecting the acceptance of an e-learning platform as a mean for the development of the human capital. Behaviour & Information Technology, 32 (4): 335-343.
[8] Carr, N. 2010. The shallows: How the internet is changing the way we think, read and remember, Atlantic Books Ltd., ISBN: 1848872259, 9781848872257, 276 pp.
[9] Collis, J. and Hussey, R. 2013. Business research: A practical guide for undergraduate and postgraduate students, 4th edition edition, Palgrave Macmillan, ISBN-10: 0230301835, 376 pp.
[10] Cronbach, L.J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika, 16 (3): 297-334.
[11] Davis, F.D., Bagozzi, R.P., and Warshaw, P.R. 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35 (8): 982-1003.
[12] Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. 1992. Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22 (14): 1111-1132.
[13] Derouin, R.E., Fritzsche, B.A., and Salas, E. 2005. E-learning in organizations. Journal of Management, 31 (6): 920-940.
[14] Dublin, C. 2007. Success with e-learning., Alexandria, V.A: American Society for Training and Development
[15] Engeström, Y. 2001. Expansive learning at work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 14 (1): 133-156.
[16] Fenech, T. 1998. Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web. Computer Networks and ISDN Systems, 30: 629-630.
[17] Fornell, C. and Larcker, D.F. 1981. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18 (3): 382-388, DOI: 10.2307/3150980
[18] Garrison, D.R. 2011. E-learning in the 21st century: A framework for research and practice, Taylor & Francis, ISBN: 1136879919, 9781136879913, 184 pp.
[19] Hair, J.F. 2010. Multivariate data analysis., Prentice Hall, ISBN: 0138132631, 9780138132637, 785 pp.
[20] Hair, J.F., Sarstedt, M., Ringle, C.M. and Mena, J.A. 2012. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40 (3): 414-433.
[21] Hamburg, I., Engert, S., Anke, P., Marin, M. and Imikmbereich, E.C.A. 2008. Improving e-learning 2.0-based training strategies of SMEs through communities of practice. Learning, 2: 610-012, Available at: http://www.academia.edu/17434805/Improving_e-learning_2.0-based_training_strategies_of_SMEs_through_communities_of_practice
[22] Hausenblas, H.A., Carron, A.V. and Mack, D.E. 1997. Application of the Theories of Reasoned Action. Journal of Sport & Exercise Psychology, 19: 36-51, Available at : http://fitnessforlife.org/AcuCustom/Sitename/Documents/DocumentItem/1205.pdf
[23] Igbaria, M., and Iivari, J. 1995. The effects of self-efficacy on computer usage. Omega, 23 (6): 587-605.
[24] Ingrassia, P.L., Foletti, M., Djalali, A., Scarone, P., Ragazzoni, L., Corte, F.D., Kaptan, K., Lupescu, O., Arculeo, C., and Von Arnim, G. 2014. Education and training initiatives for crisis management in the European Union: a web-based analysis of available programs. Prehospital and disaster medicine, 29 (2): 115-126.
[25] Kasprisin, C.A., Single, P.B., Single, R.M., and Muller, C.B. 2003. Building a better bridge: Testing e-training to improve e-mentoring programmes in higher education. Mentoring and Tutoring, 11 (1): 67-78.
[26] Lee, S., and Kim, B.G. 2015. Users' preferential factors in Web-based e-learning systems for ease of workplace learning in Korea. Learning and Individual Differences, 39: 96-104.
[27] Lim, H., Lee, S.G., and Nam, K. 2007. Validating E-learning factors affecting training effectiveness. International Journal of Information Management, 27 (1) : 22-35.
[28] Meyen, E.L., Aust, R., Gauch, J.M., Hinton, H.S., Isaacson, R.E., Smith, S.J., and Tee, M.Y. 2002. E-Learning: A programmatic research construct for the future. Journal of Special Education Technology, 17 (3): 37-46.
[29] Moore, G.C. and Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2 (3): 192-222. Available at: http://130.18.86.27/faculty/warkentin/SecurityPapers/Merrill/MooreBenbasat1991_ISR2_3_DevelopInstrumentMeasurePerceptAdoptITInnovation.pdf
[30] Moradi, L., Yahya, Y., Mohamed, I., and Raisian, K. 2017. A Study of Factors Influencing Online Purchasing Intention within E-tourism Setting. Journal of Environmental Management and Tourism, 8 (4): 882-895.
[31] Ndubisi, N.O., and Jantan, M. 2003. Evaluating IS usage in Malaysian small and medium-sized firms using the technology acceptance model. Logistics Information Management, 16 (6): 440-450.
[32] Nof, S.Y., Ceroni, J., Jeong, W., and Moghaddam, M. 2015. E-Learning and E-Training, in Revolutionizing Collaboration through e-Work, e-Business, and e-Service, ISBN: 978-3-662-45776-4, 357-390 pp., DOI: 10.1007/978-3-662-45777-1 Springer.
[33] Raab, R.T., Ellis, W.W., and Abdon, B.R. 2001. Multisectoral partnerships in e-learning: a potential force for improved human capital development in the Asia Pacific. The Internet and higher education, 4 (3–4): 217-229.
[34] Raisian, K., and Yahaya, J. 2016. Security Issues Model on Cloud Computing: A Case of Malaysia. International Journal of Advanced Computer Science and Applications (IJACSA), 6 (8): 216-223, Available at: https://thesai.org/Downloads/Volume6No8/Paper_29Security_Issues_Model_on_Cloud_Computing_A_Case_of_Malaysia.pdf
[35] Raisian, K., and Yahaya, J.A. 2015. Research Framework for Environmental Quarry System, 2nd International Research Management & Innovation Conference (IRMIC 2015) LANGKAWI, 26-27 pp.
[36] Raisian, K., Ibrahim, O., and Nilashi, M. 2013. Customer Trust Model for Malaysian Internet Banking., Journal of Information Engineering and Applications, 3 (13): 48-61, ISSN 2224-5782, Available at: https://www.researchgate.net/publication/309201221_Customer_Trust_Model_for_Malaysian_Internet_Banking (accessed Dec 19 2017).
[37] Raisian, K., Minouei, A., Khosravi, A., Hashemi, A., Nilashi, M., Ibrahim, O., Zakaria, R., and Nazari, M. 2014. Multi-Criteria Approach for Customer Trust Model in Internet Banking: A Case of UTM CIBM Bank. Life Science Journal, 11 (6): 81-93
[38] Raisian, K., Yahaya, J., and Deraman, A. 2016a. Current challenges and conceptual model of green and sustainable software engineering. Journal of Theoretical and Applied Information Technology, 94 (2): 428-443, Available at: http://www.jatit.org/volumes/Vol94No2/18Vol94No2.pdf
[39] Raisian, K., Yahaya, J., Deraman, A., Hamdan, A.R., Rais, I.A.I., and Yahaya, N.Z. 2016b. A model for environmental quarry system based on particles, vibration and noise components. Journal of Environmental Management & Tourism, Volume 7 Issue 2(14): 186-194, Summer, ISSN 2068 – 7729
[40] Sambrook, S. 2003. E-learning in small organisations. Education+ Training, Volume 45, Issue 8 (9): 506-516.
[41] Segars, A.H., and Grover, V. 1993. Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS quarterly, 17 (4): 517-525
[42] Sekaran, U., Bougie, R. 2003. Research methods for business: A skill building approach. Volume 1, John Wiley and Sons Inc., New York, ISBN: 0471384488, 9780471384489 450 pp.
[43] Tzeng, G.H., Chiang, C.H. and Li, C.W. 2007. Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert systems with Applications, 32 (4): 1028-1044.
[44] Venkatesh, V., and Davis, F.D. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46 (2): 186-204.
[45] Venkatesh, V., Morris, M.G., Davis, G.B. and DAVIS, F.D. 2003. User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3): 425-478, Available at : https://nwresearch.wikispaces.com/file/view/Venkatesh+User+Acceptance+of+Information+Technology+2003.pdf
[46] Venkatesh, V., Speier, C., and Morris, M.G. 2002. User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33 (2): 297-316.
[47] Yang, H.D., and Yoo, Y. 2004. It's all about attitude: revisiting the technology acceptance model. Decision Support Systems, 38 (1): 19-31.
Published
2018-01-24
How to Cite
MORADI, Leila et al.
E-learning System Acceptance Factors for Training: A Study of Employees Perception in Tourism Industry.
Journal of Environmental Management and Tourism, [S.l.], v. 8, n. 6, p. 1250-1258, jan. 2018.
ISSN 2068-7729.
Available at: <https://journals.aserspublishing.eu/jemt/article/view/1654>. Date accessed: 23 dec. 2024.
doi: https://doi.org/10.14505//jemt.v8.6(22).12.
Section
Article
Copyright© 2024 The Author(s). Published by ASERS Publishing 2024. This is an open access article distributed under the terms of CC-BY 4.0 license.