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Fit-Viability Approach for E-Learning Based Cloud Computing Adoption in Higher Education Institutions: A Conceptual Model

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Recent Advances in Technology Acceptance Models and Theories

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 335))

Abstract

Today, exists an innovative thinking amongst the educators and learners in the use of e-learning method in the Higher Education Institutions (HEIs) worldwide. Be that as it may, the E-learning framework requires immense up-front infrastructure with many establishments which isn’t anything but difficult to be overseen. Cloud computing accompanies another advancement stage to overcome e-learning issues in a simple and cost-proficient way that HEIs can embrace to improve the nature of their scholarly services toward the end with the thought of an instructive innovation of educational technology. The fundamental point of this explorative study is to develop a conceptual model to examine the factors laid down by Information technology (IT) adoption theory that influencing the E-Learning Based Cloud Computing (ELBCC) by integrating fit-viability theory with the diffusion of innovations (DOI) theory’s factors. The findings of this study demonstrated that the used scale measurement has met the criteria of reliability and validity. Further this study conveyed an integrated model for investigating Cloud Computing adoption for E-Learning in HEIs in Omani context in the Sultanate of Oman, and it provides the foundation for coming studies due to its infancy, and deep insight for cloud computing development, this is a hypothetical commitment. Moreover, this study builds up an empirical mechanism to explore influencing adoption features for the Omani HEIs perspective. In Composing, this is the first kind of an empirical study in Omani HEIs setting. At long last, the outcome will help the Omani HEIs to make sense of their preparation for E-Learning Based Cloud Computing, and what are the critical elements decision makers ought to consider prior to implementation.

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References

  1. Al-Samarraie, H., Saeed, N.: A systematic review of cloud computing tools for collaborative learning: opportunities and challenges to the blended-learning environment. Comput. Educ. 124(May), 77–91 (2018)

    Article  Google Scholar 

  2. AlAjmi, Q., Arshah, R.A., Kamaludin, A., Sadiq, A.S., Al-Sharafi, M.A.: A conceptual model of e-learning based on cloud computing adoption in higher education institutions. 1–6

    Google Scholar 

  3. Patel, H., Patel, A., Shah, P.: Impact of e-learning in the development of student life. Int. J. Res. Eng. Technol. 2(4), 233–238 (2014)

    Google Scholar 

  4. Tavangarian, D., Leypold, M.E., Nölting, K., Röser, M., Voigt, D.: Is e-learning the solution for individual learning? Electron. J. E-learning 2(2), 273–280 (2004)

    Google Scholar 

  5. Alshwaier, A., Youssef, A., Emam, A.: A new trend for e-learning in KSA using educational clouds. Adv. Comput. Int. J. 3(1), 81 (2012)

    Article  Google Scholar 

  6. Salloum, S.A., Alhamad, A.Q.M., Al-Emran, M., Monem, A.A., Shaalan, K.: Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access 7, 128445–128462 (2019)

    Article  Google Scholar 

  7. Alajmi, Q., Sadiq, A., Kamaludin, A., Al-Sharafi, M.A.: E-Learning models: the effectiveness of the cloud-based e-learning model over the traditional e-learning model

    Google Scholar 

  8. Alharthia, A., Alassafia, M.O., Alzahrania, A.I., Waltersa, R.J., Willsa, G.B.: Critical success factors for cloud migration in higher education institutions: a conceptual framework. Int. J. Intell. Comput. Resourcs 8(1), 817–825 (2017)

    Article  Google Scholar 

  9. Lee, C.: Handbook of research on cloud-based STEM education for improved learning outcomes. IGI Global (2016)

    Google Scholar 

  10. Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M., Al-Sharafi, M.A.: Understanding the differences in students’ attitudes towards social media use: a case study from Oman. 176–179

    Google Scholar 

  11. Salloum, S.A., Al-Emran, M., Habes, M., Alghizzawi, M., Ghani, M.A., Shaalan, K.: Understanding the impact of social media practices on e-learning systems acceptance. 360–369

    Google Scholar 

  12. Ashtari, S., Eydgahi, A.: Student perceptions of cloud applications effectiveness in higher education. J. Comput. Sci. 23, 173–180 (2017)

    Article  Google Scholar 

  13. Pardeshi, V.H.: Cloud computing for higher education institutes: architecture, strategy and recommendations for effective adaptation. Procedia Econ. Finan. 11, pp. 589–599, // (2014)

    Google Scholar 

  14. Mell, P., Grance, T.: The NIST definition of cloud computing. 20–23 (2011)

    Google Scholar 

  15. Svantesson, D., Clarke, R.: Privacy and consumer risks in cloud computing. Comput. Law Secur. Rev. 26(4), 391–397, 7// (2010)

    Google Scholar 

  16. Moodley, S.: Whither business-to-business electronic commerce in developing economies? The case of the South African manufacturing sector. Inf. Technol. Dev. 10(1), 25–40 (2003)

    Article  Google Scholar 

  17. Sabi, H.M., Uzoka, F.-M.E., Langmia, K., Njeh, F.N., Tsuma, C.K.: A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa. Inf. Syst. Front. 1–24 (2017)

    Google Scholar 

  18. Kshetri, N.: Privacy and security issues in cloud computing: the role of institutions and institutional evolution. Telecommun. Policy 37(4–5), 372–386 (2013)

    Google Scholar 

  19. Al-Sharafi, M.A., Arshah, R.A., Herzallah, F.A., Alajmi, Q.: The effect of perceived ease of use and usefulness on customers intention to use online banking services: the mediating role of perceived trust. Int. J. Innov. Comput. 7(1), 9–14 (2017)

    Google Scholar 

  20. Arpaci, I.: Understanding and predicting students’ intention to use mobile cloud storage services. Comput. Hum. Behav. 58, 150–157 (2016)

    Article  Google Scholar 

  21. Chang, Y.S., Chen, S.Y., Yu, K.C., Chu, Y.H., Chien, Y.H.: Effects of cloud-based m-learning on student creative performance in engineering design. Br. J. Edu. Technol. 48(1), 101–112 (2017)

    Article  Google Scholar 

  22. Fernandes, D.A.B., Soares, L.F.B., Gomes, J.V., Freire, M.M., Inacio, P.R.M.: Security issues in cloud environments: a survey. Int. J. Inf. Secur. 13(2), 113–170 (2014)

    Article  Google Scholar 

  23. Hemanth, G.S., Mahammad, S.N.: An efficient virtualization server infrastructure for e-schools of India. Inf. Syst. Des. Intell. Appl. 89–99 (2016). Springer

    Google Scholar 

  24. Jayasena, K., Song, H.: Private cloud with e-learning for resources sharing in university environment. 169–180

    Google Scholar 

  25. Al Musawi A.S., Abdelraheem, A.Y.: E-learning at sultan qaboos university: status and future. Br. J. Educ. Techn. 35(3), 363–367 (2004)

    Google Scholar 

  26. Almazroi, A.A., Shen, H., Teoh, K.-K., Babar, M.A.: Cloud for e-learning: determinants of its adoption by university students in a developing country. 71–78

    Google Scholar 

  27. Guan, B., Wu, J., Wang, Y., Khan, S.U.: CIVSched: a communication-aware inter-VM scheduling technique for decreased network latency between co-located VMs. IEEE Trans. Cloud Comput. 2(3), 320–332 (2014)

    Article  Google Scholar 

  28. Herbig, P., Dunphy, S.: Culture and innovation. Cross Cult. Manag. Int. J. 5(4), 13–21 (1998)

    Article  Google Scholar 

  29. Sultan, N.: Cloud computing for education: A new dawn? Int. J. Inf. Manag. 30(2), 109–116, 4// (2010)

    Google Scholar 

  30. Alajmi, Q., Al-Sharafi, M.A., Abuali, A.: Smart learning gateways for Omani HEIs towards educational technology: benefits, challenges and solutions. Int. J. Inf. Technol. Lang. Stud. 4(1), (2020)

    Google Scholar 

  31. AlAjmi, Q., Arshah, R.A., Kamaludin, A., Sadiq, A.S., Al-Sharafi, M.A.: A conceptual model of e-learning based on cloud computing adoption in higher education institutions. 1–7

    Google Scholar 

  32. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. pp. 319–340 (1989)

    Google Scholar 

  33. Rogers, E.M.: Diffusion of Innovations, 4th. edn. Free Press, New York (2003)

    Google Scholar 

  34. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)

    Article  Google Scholar 

  35. Alajmi, Q., Sadiq, A.S., Kamaludin, A., Al-Sharafi, M.A.: Cloud computing delivery and delivery models: opportunity and challenges. Adv. Sci. Lett. 24(6), 4040–4044 (2018)

    Article  Google Scholar 

  36. Bagozzi, R.P.: The legacy of the technology acceptance model and a proposal for a paradigm shift. J. Assoc. Inf. Syst. 8(4), 243–254 (2007)

    Google Scholar 

  37. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Article  Google Scholar 

  38. Cohen, L., Manion, L., Morrison, K.: Research Methods in Education, 5th edn, Routledge Falmer, Abingdon (2000)

    Google Scholar 

  39. Legris, P., Ingham, J., Collerette, P.: Why do people use information technology? A critical review of the technology acceptance model. Inf. Manag. 40(3), 191–204 (2003)

    Article  Google Scholar 

  40. Zhao, Y., Zhu, Q.: Influence factors of technology acceptance model in mobile learning, pp. 542–545

    Google Scholar 

  41. Tjan, A.K.: Finally, a way to put your Internet portfolio in order. Harv. Bus. Rev. 79(2), 76–85, 156 (2001)

    Google Scholar 

  42. Goodhue, D.L., Thompson, D.L.: Task-technology fit and individual performance. MIS Q. 213–236 (1995)

    Google Scholar 

  43. Rogers, E.M.: Diffusion of Innovations. Free Press, New York, pp. 551 (2003)

    Google Scholar 

  44. Al-Balushi, F.M., Bahari, M., Rahman, A.A.: Technology, organizational and environmental (TOE) factors influencing enterprise application integration (EAI) implementation in Omani government organizations. Indian J. Sci. Technol. 9(46), 1–5 (2016)

    Article  Google Scholar 

  45. Tornatzky, L.G., Fleischer, M., Chakrabarti, A.K.: Processes of Technological Innovation: Lexington books (1990)

    Google Scholar 

  46. Liang, T.-P., Huang, C.-W., Yeh, Y.-H., Lin, B.: Adoption of mobile technology in business: a fit-viability model. Ind. Manag Data Syst. 107(8), 1154–1169 (2007)

    Article  Google Scholar 

  47. Liang, T.P., Wei, C.P.: Introduction to the special issue: mobile commerce applications. Int. J. Electron. Commer. 8(3), 7–17 (2014)

    Google Scholar 

  48. Lin, A., Chen, N.C.: Cloud computing as an innovation: Percepetion, attitude, and adoption. Int. J. Inf. Manage. 32(6), 533–540 (2012)

    Article  Google Scholar 

  49. Latif, R., Abbas, H., Assar, S., Ali, Q.: Cloud computing risk assessment: a systematic literature review. Future Inf. Technol. 285–295 (2014). Springer

    Google Scholar 

  50. Zhang, J.W.: Technology-supported learning innovation in cultural contexts. Etr & D-Educ. Technol. Res. Dev. 58(2), 229–243 (2010)

    Article  Google Scholar 

  51. Faqih, K.M.: Which is more important in e-learning adoption, perceived value or perceived usefulness? Examining the moderating influence of perceived compatibility

    Google Scholar 

  52. Qasim Alajmi, R.A.A., Kamaludin, A., Al-Sharafi, M.A.: Current state of cloud-based e-learning adoption: results from gulf cooperation council’s higher education institutions. In: 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Canada, pp. 569–575 (2019)

    Google Scholar 

  53. Al-Sharafi, A., Arshah, R.A., Alajmi, Q., Herzallah, A., Qasem, Y.A.: The influence of perceived trust on understanding banks’ customers behavior to accept internet banking services. (2018)

    Google Scholar 

  54. Hassan, H., Nasir, M.H.M., Khairudin, N., Adon, I.: Factors influencing cloud computing adoption in small and medium enterprises. J Inf. Commun. Technol. Malaysia 16(1), 21–41 (2017)

    Google Scholar 

  55. Ali, M., Khan, S.U., Vasilakos, A.V.: Security in cloud computing: opportunities and challenges. Inf. Sci. 305, 357–383 (2015)

    Article  MathSciNet  Google Scholar 

  56. Anshari, M., Alas, Y., Guan, L.S.: Developing online learning resources: big data, social networks, and cloud computing to support pervasive knowledge. Educ. Inf. Technol. 21(6), 1663–1677 (2016)

    Article  Google Scholar 

  57. Alajmi, Q.A., Kamaludin, A., Arshah, R.A., Al-Sharafi, M.A.: The effectiveness of cloud-based e-learning towards quality of academic services: an Omanis’ expert view. Int. J. Adv. Comput. Sci. Appl. 9(4), 158–164 (2018)

    Google Scholar 

  58. Abbas, A., Bilal, K., Zhang, L.M., Khan, S.U.: A cloud based health insurance plan recommendation system: a user centered approach. Future Gener. Comput. Syst. Int. J. Escience 43–44(1), 99–109 (2015)

    Article  Google Scholar 

  59. Goodhue, D.L., Thompson, R.L.: Task-technology fit and individual-performance. MIS Q. 19(2), 213–236 (1995)

    Article  Google Scholar 

  60. Gliem, J.A., Gliem, R.R.: Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for likert-type scales

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Education, College of Arts and Humanities, A’Sharqiyah University, Ibra, Sultanate of Oman

    Qasim AlAjmi

  2. Institute For Artificial Intelligence & Big Data, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, 16100 Kota Bharu, Kelantan, Malaysia

    Mohammed A. Al-Sharafi

  3. Department of Humanities, College of Arts and Humanities, A’Sharqiyah University, Ibra, Sultanate of Oman

    Godwin John Chellathurai

Authors
  1. Qasim AlAjmi
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  2. Mohammed A. Al-Sharafi
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  3. Godwin John Chellathurai
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Correspondence to Qasim AlAjmi .

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Editors and Affiliations

  1. Faculty of Engineering & IT, The British University in Dubai, Dubai, United Arab Emirates

    Mostafa Al-Emran

  2. Faculty of Engineering & IT, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

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AlAjmi, Q., Al-Sharafi, M.A., Chellathurai, G.J. (2021). Fit-Viability Approach for E-Learning Based Cloud Computing Adoption in Higher Education Institutions: A Conceptual Model. In: Al-Emran, M., Shaalan, K. (eds) Recent Advances in Technology Acceptance Models and Theories. Studies in Systems, Decision and Control, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-64987-6_19

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