Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan

Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan

Cloud computing is the solution for e-leering and social learning in Higher education.To provide these needs, this study identified the factors support for cloud computing adoption in Malaysian and Jordan Universities. In the cross-sectional study, respondents from297 out of 1329 for Universiti Tekn...

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Main Author: Mohammad Othman, Morad Yousef
Format: Thesis
Language:English
English
Published: 2016
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T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/18830/1/Cloud%20Computing%20Adoption%20Model%20For%20Higher%20Education%20%20A%20Comparison%20Study%20Between%20Malaysia%20And%20Jordan%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/18830/2/Cloud%20Computing%20Adoption%20Model%20For%20Higher%20Education%20A%20Comparison%20Study%20Between%20Malaysia%20And%20Jordan.pdf
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id my-utem-ep.18830
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor Zakaria, Mohd Hafiz
topic T Technology (General)
T Technology (General)
spellingShingle T Technology (General)
T Technology (General)
Mohammad Othman, Morad Yousef
Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan
description Cloud computing is the solution for e-leering and social learning in Higher education.To provide these needs, this study identified the factors support for cloud computing adoption in Malaysian and Jordan Universities. In the cross-sectional study, respondents from297 out of 1329 for Universiti Teknikal Malaysia Melaka, Malaysia and 175 out of 323 for Al-Zaytoonah University, Jordan. The objective of this study is to check the main effect and tested the technology, organization and environmental (TOE) factors toward cloud computing adoption in universities. The results show significant support for major effects based on the theory of the TOE theory. The results also show the buffered impact of technology, organization and environmental on cloud computing adoption with institution influence as mediator between them and predicted the level of the adoption increase in universities. Useful recommendations and future research direction.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mohammad Othman, Morad Yousef
author_facet Mohammad Othman, Morad Yousef
author_sort Mohammad Othman, Morad Yousef
title Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan
title_short Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan
title_full Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan
title_fullStr Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan
title_full_unstemmed Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan
title_sort cloud computing adoption model for higher education : a comparison study between malaysia and jordan
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty of Information and Communication Technology
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/18830/1/Cloud%20Computing%20Adoption%20Model%20For%20Higher%20Education%20%20A%20Comparison%20Study%20Between%20Malaysia%20And%20Jordan%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/18830/2/Cloud%20Computing%20Adoption%20Model%20For%20Higher%20Education%20A%20Comparison%20Study%20Between%20Malaysia%20And%20Jordan.pdf
_version_ 1747833950917623808
spelling my-utem-ep.188302021-10-10T22:40:57Z Cloud Computing Adoption Model For Higher Education : A Comparison Study Between Malaysia And Jordan 2016 Mohammad Othman, Morad Yousef T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Cloud computing is the solution for e-leering and social learning in Higher education.To provide these needs, this study identified the factors support for cloud computing adoption in Malaysian and Jordan Universities. In the cross-sectional study, respondents from297 out of 1329 for Universiti Teknikal Malaysia Melaka, Malaysia and 175 out of 323 for Al-Zaytoonah University, Jordan. The objective of this study is to check the main effect and tested the technology, organization and environmental (TOE) factors toward cloud computing adoption in universities. The results show significant support for major effects based on the theory of the TOE theory. The results also show the buffered impact of technology, organization and environmental on cloud computing adoption with institution influence as mediator between them and predicted the level of the adoption increase in universities. Useful recommendations and future research direction. UTeM 2016 Thesis http://eprints.utem.edu.my/id/eprint/18830/ http://eprints.utem.edu.my/id/eprint/18830/1/Cloud%20Computing%20Adoption%20Model%20For%20Higher%20Education%20%20A%20Comparison%20Study%20Between%20Malaysia%20And%20Jordan%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/18830/2/Cloud%20Computing%20Adoption%20Model%20For%20Higher%20Education%20A%20Comparison%20Study%20Between%20Malaysia%20And%20Jordan.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=101751 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Zakaria, Mohd Hafiz 1. Abbas, M. et al., 2014. Combined Effects of Perceived Politics and Psychological Capital on Job Satisfaction, Turnover Intentions, and Performance. Journal of Management, 40(7), pp.1813–1830. Available at: http://jom.sagepub.com/cgi/doi/10.1177/0149206312455243. 2. Abdul Razak, S.F., 2009. Cloud computing in malaysia universities. 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009, (July), pp.101–106 3. Begum, S., 2013. Review of Load Balancing in Cloud Computing. , 10(1), pp.343–352. 4. Bumpus, W., 2010. NIST Cloud Computing Standards Roadmap. , pp.1–3. 5. Constitution, U. et al., 2011. A Summer of Progress. , (October). 6. Gupta, N. & Thakur, S., 2014. THE FACTORS AFFECTING ADOPTION of CLOUD COMPUTING TECHNOLOGY in. , 3(6), pp.7229–7235. 7. Harmon, R.R. & Auseklis, N., 2009. Sustainable it services: Assessing the impact of green computing practices. PICMET: Portland International Center for Management of Engineering and Technology, Proceedings, pp.1707–1717. 8. Iacovou, C. L., Benbasat, I. & Dexter, A.S., 1995. Electronic data interchange and small organizations: adoption and impact of technology. MIS quarterly, 465-485., 326(5954), pp.850–853. Available at: http://www.sciencemag.org/cgi/doi/10.1126/science.1173438. 9. Karawi, D.T.A., 2012. A DEVELOPMENT OF A CLOUD MIGRATION MODEL FOR THE SME’s OF BAGHDAD, IRAQ. 10. Kaveh Jamali, S. et al., 2015. Conceptualizing Model of Factors Influencing Electronic Commerce Adoption in Iranian Family SMEs. Asian Social Science, 11(10), pp.256–280. Available at: http://www.ccsenet.org/journal/index.php/ass/article/view/47774. 11. Khandwalla, P., 1970. The effect of the environment on the organizational structure of firm. unpublished doctoral dissertation, Carnegie-Mellon University. 12. Krejcie, R. V & Morgan, D.W., 1970. Determining Sample Size for Research Activities Robert. Educational and Psychological Measurement, 38(1), pp.607–610. 13. Kumar, S. & Murthy, O., 2013. Cloud Computing for Universities: A Prototype Suggestion and use of Cloud Computing in Academic Institutions. International Journal of Computer Applications, 70, 1-6. 14. Mahmud, S.F. 2013., 2013. The Higher Education In Iraq Challenges And Recommendations. Journal of Advanced Social Research Vol, 3, 255-264. 15. Mircea, M. & Andreescu, A., 2011. Using Cloud Computing in Higher Education: A Strategy to Improve Agility in the Current Financial Crisis. Communications of the IBIMA, 1(2), pp.1–15. 16. Misra, S.C. and Mondal, A., 2010. “Identification of a company’s suitability for the adoption of cloud computing and modeling its corresponding return on investment”, Mathematical and Computer Modeling. Electronic Journal of Information …, 14(1), pp.110–121. Available at: http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=15666379&AN=65267826&h=+3mBLgsH44TuP+Md6aBOWR03issM0HLuIC10e2bYsd573ACXyFRydASKNeJIVclRbeOPZqZtJv6cXzNTjE4tdA==&crl=c. 17. Oliveira, T. & Martins, M.F., 2010. Firms Patterns of e-Business Adoption: Evidence for the European Union-27. Information Systems, 13(1), pp.47–56. 18. Oliveira, T., Martins, M.F. & Lisboa, U.N. De, 2011. Ejise-Volume14-Issue1-Article705 (2). , 14(1), pp.110–121. 19. Park, Y. & Rim, M.-H., 2011. The Relationship Analysis of RFID Adoption and Organizational Performance. , (c), pp.76–82. 20. Sen, J., 2013. Security and Privacy Issues in Cloud Computing. arXiv:1303.4814, (iv). Available at: http://arxiv.org/abs/1303.4814\nhttp://www.arxiv.org/pdf/1303.4814.pdf. 21. Sotomayor, B. et al., 2009. An Open Source Solution for Virtual Infrastructure Management in Private and Hybrid Clouds.pdf.tdl. , pp.1–11. 22. Thorsteinsson, G., Page, T. & Niculescu, A., 2010. ِِAِِdoption of ICT in supporting ideation skills in conventional classroom settings. Journal of Studies in Informatics and Control, 19, 309-318. 23. Tornatzky, L. G., Fleischer, M. & Chakrabarti, A.K., 1990. Processes of technological innovation, Lexington . , 6(3), pp.326–340. 24. Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A. Z., Lee, G., PATTERSON, D., Rabkin, A., & STOICA, I. Z. otros (2009),“Above the clouds: a Berkeley view of cloud computing”. Science. 25. Atik, L., & Ramdani, B. 2014. Information Systems Innovations Adoption among SMEs in Algeria: Conceptual Framework Development. 26. Britto, M. 2012. Cloud computing in higher education. Library Student Journal, 7. 27. Cao, Q., Baker, J., Wetherbe, J. C., & Gu, V. C. 2012. Organizational Adoption of Innovation: Identifying Factors that Influence RFID Adoption in the Healthcare Industry. Paper presented at the ECIS. 28. Carroll, M., Kotzé, P., & Van der Merwe, A. 2011. Secure virtualization: benefits, risks and constraints. 29. Chau, P. Y., & Tam, K. Y. 1997. Factors affecting the adoption of open systems: an exploratory study. Mis Quarterly: 1-24. 30. Chong, A. Y.-L., Ooi, K.-B., Lin, B., & Raman, M. 2009. Factors affecting the adoption level of c-commerce: An empirical study. Journal of Computer Information Systems, 50(2): 13. 31. Chowhan, S., & Saxena, R. 2011. Customer relationship management from the business strategy perspective with the application of cloud computing. The Proceedings of DYNAA, 2(1): 28-38. 32. Conway, G., & Curry, E. 2012. Managing Cloud Computing-A Life Cycle Approach. Paper presented at the CLOSER. 33. Crowston, K., Deltour, F., & Jullien, N. 2013. Open Source Software Adoption: A Technological Innovation Perspective. Paper presented at the AIM 2013 Conference. 34. Daneshgar, F., Low, G. C., & Worasinchai, L. 2013. An investigation of ‘build vs. buy’decision for software acquisition by small to medium enterprises. Information and Software Technology, 55(10): 1741-1750. 35. Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly: 319-340. 36. Davis, F. D. 1993. User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3): 475-487. 37. Davis Jr, F. D. 1986. A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology. 38. Dikaiakos, M. D., Katsaros, D., Mehra, P., Pallis, G., & Vakali, A. 2009. Cloud computing: Distributed internet computing for IT and scientific research. Internet Computing, IEEE, 13(5): 10-13. 39. Durkee, D. 2010. Why cloud computing will never be free. Queue, 8(4): 20. 40. El-Gohary, H. 2012. Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations. Tourism Management, 33(5): 1256-1269. 41. Fishbein, M., & Ajzen, I. 1975. Belief, attitude, intention and behavior: An introduction to theory and research. 42. Gagliardi, G., Constine, L. S., Moiseenko, V., Correa, C., Pierce, L. J., Allen, A. M., & Marks, L. B. 2010. Radiation dose–volume effects in the heart. International Journal of Radiation Oncology* Biology* Physics, 76(3): S77-S85. 43. Garg, S. K., & Buyya, R. 2011. Networkcloudsim: Modelling parallel applications in cloud simulations. Paper presented at the Utility and Cloud Computing (UCC), 2011 Fourth IEEE International Conference on. 44. Gefen, D., Karahanna, E., & Straub, D. W. 2003. Trust and TAM in online shopping: an integrated model. MIS quarterly, 27(1): 51-90. 45. Gitau, M. N. 2014. PROPOSED CLOUD INFRASTRUCTURE FOR RESEARCH AND EDUCATION IN HIGHER LEARNING INSTITUTION IN KENYA. KCA UNIVERSITY. 46. Grajek, S., & Rotman, D. 2013. Top-Ten IT Issues, 2013: Welcome to the Connected Age. Educause Review, 48(3): 30. 47. Harmon, R.R. & Auseklis, N., 2009. Sustainable it services: Assessing the impact of green computing practices. PICMET: Portland International Center for Management of Engineering and Technology, Proceedings, pp.1707–1717. 48. Hashim, A. S., & Othman, M. 2014. Cloud Computing Adoption by Universities: Concepts and Review. Int. J. Sci. Res, 3(2): 348-353. 49. Intan Salwani, M., Marthandan, G., Norzaidi, M., &Normah, O. 2009. E-commerce and value creation: empirical evidence in Malaysia. Paper presented at the Proceedings of the European Applied Business Research Conference, Rothenburg. 50. Jungck, K. 2011. Cloud computing avoids downfall of application service providers. 51. Katzan Jr, H. 2010. The education value of cloud computing. Contemporary Issues in Education Research (CIER), 3(7): 37-42. 52. Kuan, K. K., & Chau, P. Y. 2001. A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework. Information & management, 38(8): 507-521. 53. Lin, H.-F., & Lin, S.-M. 2008. Determinants of e-business diffusion: A test of the technology diffusion perspective. Technovation, 28(3): 135-145. 54. Lippert, S. K., & Govindarajulu, C. 2015. Technological, organizational, and environmental antecedents to web services adoption. Communications of the IIMA, 6(1): 14. 55. Low, C., Chen, Y., & Wu, M. 2011. Understanding the determinants of cloud computing adoption. Industrial management & data systems, 111(7): 1006-1023. 56. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. 2011. Cloud computing—The business perspective. Decision support systems, 51(1): 176-189. 57. Mell, P., & Grance, T. 2011. The NIST definition of cloud computing. 58. Mircea, M., & Andreescu, A. I. 2011. Using cloud computing in higher education: A strategy to improve agility in the current financial crisis. Communications of the IBIMA, 2011: 1-15. 59. Moore, G. C., & Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3): 192-222. 60. Mvelase, P., Sibiya, G., Dlodlo, N., Oladosu, J., & Adigun, M. 2013. A comparative analysis of pricing models for enterprise cloud platforms. Paper presented at the AFRICON, 2013. 61. Nelson, M. L., Shaw, M. J., & Strader, T. J. 2012. Preface to the focus theme section: collaborative value creation in e-business management: Springer. 62. Nist, X. 2011. ray photoelectron spectroscopy database, Version 3.5 (National Institute of Standards and Technology, Gaithersburg, 2003). 63. Noll, J., Beecham, S., & Richardson, I. 2010. Global software development and collaboration: barriers and solutions. ACM Inroads, 1(3): 66-78. 64. Oliveira, T., & Martins, M. F. 2009. Firms’ Patterns of e-Business Adoption: Evidence for the European Union-27. Paper presented at the The Proceedings of the 3rd European Conference on Information Management and Evaluation: University of Gothenburg, Sweden, 17-18 September 2009. 65. Oliveira, T., & Martins, M. F. 2010. Understanding e-business adoption across industries in European countries. Industrial Management & Data Systems, 110(9): 1337-1354. 66. Oliveira, T., & Martins, M. F. 2011. Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation, 14(1): 110-121. 67. Ramgovind, S., Eloff, M. M., & Smith, E. 2010. The management of security in cloud computing. Paper presented at the Information Security for South Africa (ISSA), 2010. 68. Ransome, J. F., &Rittinghouse, J. W. 2010. Cloud computing: Implementation, management and security. CRC Press Taylor & Francis Group, 6000: 33487-32742. 69. Reijnders, C. M., van Lier, A., Roffel, S., Kramer, D., Scheper, R. J., & Gibbs, S. 2015. Development of a Full-Thickness Human Skin Equivalent In Vitro Model Derived from TERT-Immortalized Keratinocytes and Fibroblasts. Tissue Engineering Part A, 21(17-18): 2448-2459. 70. Rogers, E. M. 1995. Diffusion of Innovations: modifications of a model for telecommunications. Die Diffusion von Innovationen in der Telekommunikation, 17: 25-38. 71. Salleh, S. M., Teoh, S. Y., & Chan, C. 2012. Cloud Enterprise Systems: A Review Of Literature And Its Adoption. Paper presented at the PACIS. 72. Sasikala, S., & Prema, S. 2011. Massive Centralized Cloud Computing (MCCC) Exploration in Higher Education. 73. Sin Tan, K., Choy Chong, S., Lin, B., & Cyril Eze, U. 2009. Internet-based ICT adoption: evidence from Malaysian SMEs. Industrial Management & Data Systems, 109(2): 224-244. 74. Singh, O., & Agarwal, M. 2014. Energy and Exergy Analysis of Brayton-Brayton Hybrid Cycle for Power Plant Applications. Engineering Letters, 22(4). 75. Slabeva, K. S., & Wozniak, T. Grid and Cloud Computing-A Business Perspective on Technology and Applications, 2010, Editors Santi Ristol: Springer-Verlag Berlin Heidelberg. 76. Stanoevska-Slabeva, K., & Wozniak, T. 2010. Cloud basics–an introduction to cloud computing, Grid and cloud computing: 47-61: Springer. 77. Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. 1990. Processes of technological innovation: Lexington Books. 78. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. 2003. User acceptance of information technology: Toward a unified view. MIS quarterly: 425-478. 79. Wang, Q., Wang, X., & Xia, F. 2009. Integration of grey model and multiple regression model to predict energy consumption. Paper presented at the Energy and Environment Technology, 2009. ICEET'09. International Conference on. 80. Wenhao, L. 2010. A Community Cloud oriented workflow system framework and its Scheduling Strategy. Paper presented at the Web Society (SWS), 2010 IEEE 2nd Symposium on. 81. Yahia, E., Aubry, A., & Panetto, H. 2012. Formal measures for semantic interoperability assessment in cooperative enterprise information systems. Computers in Industry, 63(5): 443-457. 82. Yeng, S. K., Osman, A., Haji-Othman, Y., & Safizal, M. 2015. E-Commerce Adoption among Small and Medium Enterprises (SMEs) in Northern State of Malaysia. Mediterranean Journal of Social Sciences, 6(5): 37. 83. Zhu, S., Setia, S., & Jajodia, S. 2006. LEAP+: Efficient security mechanisms for large-scale distributed sensor networks. ACM Transactions on Sensor Networks (TOSN), 2(4): 500-528. 84. Zissis, D., & Lekkas, D. 2012. Addressing cloud computing security issues. Future Generation computer systems, 28(3): 583-592.

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