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Cloud Computing Adoption in Higher Education: An Integrated Theoretical Model

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Recent Advances in Technology Acceptance Models and Theories

Abstract

Several studies were carried out earlier to investigate the determinants affecting cloud computing adoption at the individual level. However, the question of what impacts the cloud computing adoption at the organizational level is still not yet fully answered. Therefore, this research develops an integrated theoretical model to explore the factors affecting cloud computing adoption at higher education institutions (HEIs). The developed theoretical model is based on the integration of four well-established models, including the technology-organizational-environmental (TOE) framework, the fit viability model (FVM), the diffusion of innovations (DOI), and the institutional theory (INST). The partial least squares-structural equation modeling (PLS-SEM) approach is used to validate the developed model based on survey data collected from 205 academics and IT staff. The results pointed out that 58.9% of the variance in cloud computing adoption is explained by the FVM and the INST theory factors. The validation of the developed theoretical model provides empirical evidence concerning what affects the HEIs to adopt cloud computing services. The findings of this research are believed to assist the top management in HEIs in strategizing cloud computing adoption by identifying the critical factors in their institutions.

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References

  1. Riahi, G.: E-learning systems based on cloud computing: a review. Procedia Comput. Sci. 62, 352–359 (2015). https://doi.org/10.1016/j.procs.2015.08.415. (In English)

    Article  Google Scholar 

  2. Svantesson, D., Clarke, R.: Privacy and consumer risks in cloud computing. Comput. Law Secur. Rev. 26(4), 391–397 (2010). https://doi.org/10.1016/j.clsr.2010.05.005

  3. Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M.: What leads to social learning? Students’ attitudes towards using social media applications in Omani higher education. Educ. Inf. Technol. 1–18 (2019)

    Google Scholar 

  4. Pett, T.L., Wolff, J.A., Perry, J.T.: Information technology competency in SMEs: an examination in the context of firm performance. Int. J. Inf. Technol. Manage. 9(4), 404–422 (2010). https://doi.org/10.1504/IJITM.2010.035462

    Article  Google Scholar 

  5. Arpaci, I.: Understanding and predicting students’ intention to use mobile cloud storage services. Comput. Hum. Behav. 58, 150–157 (2016). https://doi.org/10.1016/j.chb.2015.12.067. (In English)

    Article  Google Scholar 

  6. Batista, B.G., Ferreira, C.H.G., Segura, D.C.M., Leite Filho, D.M., Peixoto, M.L.M.: A QoS-driven approach for cloud computing addressing attributes of performance and security. Future Gener. Comput. Syst. 68, 260–274 (2017). https://doi.org/10.1016/j.future.2016.09.018

  7. Al-Emran, M., Al-Maroof, R., Al-Sharafi, M.A., Arpaci, I.: What impacts learning with wearables? An integrated theoretical model. Interact. Learn. Environ. 1–21 (2020)

    Google Scholar 

  8. 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. In: 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 21–23 Nov 2017, pp. 1–6 (2017). https://doi.org/10.1109/icecta.2017.8252013

  9. Abdullah, R., Eri, Z.D., Talib, A.M.: A model of knowledge management system for facilitating knowledge as a service (KaaS) in cloud computing environment. In: 2011 International Conference on Research and Innovation in Information Systems (ICRIIS), IEEE, pp. 1–4 (2011)

    Google Scholar 

  10. Al-Emran, M., Teo, T.: Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study. Educ. Inf. Technol. 2 Dec 2019. https://doi.org/10.1007/s10639-019-10062-w

  11. Sharma, S.K., Al-Badi, A.H., Govindaluri, S.M., A-Kharusi, M.H.: Predicting motivators of cloud computing adoption: a developing country perspective. Comput. Hum. Behav. 62, 61–69 (2016). (In English). https://doi.org/10.1016/j.chb.2016.03.073

  12. Al-Sharafi, M.A., Arshah, R.A., Abu-Shanab, E.A., Alajmi, Q.: The effect of sustained use of cloud-based business services on organizations’ performance: evidence from SMEs in Malaysia. In: 2019 5th International Conference on Information Management (ICIM), 24–27 Mar 2019, pp. 285–291 (2019). https://doi.org/10.1109/infoman.2019.8714699

  13. Sabi, H.M., Uzoka, F.M.E., Langmia, K., Njeh, F.N.: Conceptualizing a model for adoption of cloud computing in education. Int. J. Inf. Manage. 36(2), 183–191 (2016). https://doi.org/10.1016/j.ijinfomgt.2015.11.010. (In English)

    Article  Google Scholar 

  14. 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). https://doi.org/10.1007/s10796-017-9739-1

  15. Tashkandi, A.N., Al-Jabri, I.M.: Cloud computing adoption by higher education institutions in Saudi Arabia: an exploratory study. Cluster Comput. 18(4), 1527–1537 (2015). https://doi.org/10.1007/s10586-015-0490-4. (In English)

    Article  Google Scholar 

  16. Al-Sharaf, M.A. Arshah, R.A., Abu-Shanab, E.A.: Factors influencing the continuous use of cloud computing services in organization level. In: Proceedings of the International Conference on Advances in Image Processing—ICAIP 2017, Bangkok, Thailand, 25–27 Aug 2017, ACM, pp. 189–194 (2017). https://doi.org/10.1145/3133264.3133298

  17. Qasem, Y.A.M., Abdullah, R., Jusoh, Y.Y., Atan, R., Asadi, S.: Cloud computing adoption in higher education institutions: a systematic review. IEEE Access 7, 63722–63744 (2019). https://doi.org/10.1109/ACCESS.2019.2916234

    Article  Google Scholar 

  18. Al-Sharafi, M.A., Arshah, R.A., Abu-Shanab, E.A.: Questionnaire development process to measure the SMEs’ continuous use behavior towards cloud computing services. In: Proceedings of the 2019 8th International Conference on Software and Computer Applications, Penang, Malaysia (2019). [Online]. Available https://doi.org/10.1145/3316615.3316723

  19. Qasem, Y.A.M., Abdullah, R., Yah, Y., Atan, R., Al-Sharafi, M.A., Al-Emran, M.: Towards the development of a comprehensive theoretical model for examining the cloud computing adoption at the organizational level. In: Al-Emran, M., Shaalan, K., Hassanien, A.E. (eds.) Recent Advances in Intelligent Systems and Smart Applications, pp. 63–74. Springer International Publishing, Cham (2021)

    Chapter  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  22. Rogers Everett, M.: Diffusion of Innovations, vol. 12. New York (1995)

    Google Scholar 

  23. Chatterjee, D., Grewal, R., Sambamurthy, V.: Shaping up for e-commerce: institutional enablers of the organizational assimilation of web technologies. MIS Q. 65–89 (2002)

    Google Scholar 

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

    Article  Google Scholar 

  25. NIST: NIST definitoon of cloud computing v15, NIST, Editor. 2011. National Institute of Standards and Technology, Gaithersburg, MD (2011)

    Google Scholar 

  26. Al-Sharafi, M.A., Arshah, R.A., Abu-Shanab, E.A.: Factors affecting the continuous use of cloud computing services from expert’s perspective. In: TENCON 2017—2017 IEEE Region 10 Conference, 5–8 Nov 2017, pp. 986–991. https://doi.org/10.1109/tencon.2017.8228001

  27. Jing, S.-Y., Ali, S., She, K., Zhong, Y.: State-of-the-art research study for green cloud computing. J. Supercomputing 65(1), 445–468 (2013)

    Article  Google Scholar 

  28. Zissis, D., Lekkas, D.: Addressing cloud computing security issues. Future Gener. Comput. Syst. 28(3), 583–592 (2012)

    Article  Google Scholar 

  29. Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Gener. Comput. Syst. 28(5), 755–768 (2012)

    Article  Google Scholar 

  30. Alajmi, Q., Sadiq, A.: What should be done to achieve greater use of cloud computing by higher education institutions. In: 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), IEEE, pp. 1–5 (2016)

    Google Scholar 

  31. Pluzhnik, E., Nikulchev, E.: Virtual laboratories in cloud infrastructure of educational institutions. In: 2014 2nd International Conference on Emission Electronics (ICEE), pp. 1–3. IEEE (2014)

    Google Scholar 

  32. 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. In: 8th International Conference on Information Technology, ICIT’2017, Aman, Gordan (2017)

    Google Scholar 

  33. Ali, O., Soar, J., Yong, J., Tao, X.: Factors to be considered in cloud computing adoption. In: Web Intelligence, vol. 14, no. 4, pp. 309–323. IOS Press (2016)

    Google Scholar 

  34. Al-Sharafi, M.A., Mufadhal, M.E., Arshah, R.A., Sahabudin, N.A.: Acceptance of online social networks as technology-based education tools among higher institution students: Structural equation modeling approach. Sci. Iranica 26(Special Issue on: Socio-Cognitive Engineering), 136–144 (2019)

    Google Scholar 

  35. Li, Y.: An empirical investigation on the determinants of e-procurement adoption in Chinese manufacturing enterprises. In: 15th Annual Conference Proceedings., International Conference on Management Science and Engineering. ICMSE 2008. IEEE, pp. 32–37 (2008)

    Google Scholar 

  36. Shiau, W.L., Chau, P.Y.K.: Understanding behavioral intention to use a cloud computing classroom: a multiple model comparison approach. Inf. Manag. 53(3), 355–365 (2016). https://doi.org/10.1016/j.im.2015.10.004. (In English)

    Article  Google Scholar 

  37. Militaru, G., Purcarea, A.A., Negoita, O. D., Niculescu, A.: Examining cloud computing adoption intention in higher education: exploratory study. In: Borangiu, T., Dragoicea, M., Novoa, H. (eds.) Exploring Services Science. Lecture Notes in Business Information Processing, vol. 247, pp. 732–741. Springer, Berlin (2016)

    Google Scholar 

  38. Zhu, K., Kraemer, K.L.: Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Inf. Syst. Res. 16(1), 61–84 (2005)

    Article  Google Scholar 

  39. Oliveira, T., Martins, M.F.: Understanding e-business adoption across industries in European countries. Ind. Manag. Data Syst. 110(9), 1337–1354 (2010)

    Article  Google Scholar 

  40. Rogers, E.M.: Diffusion of Innovations. Simon and Schuster (2010)

    Google Scholar 

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

    Google Scholar 

  42. Al-Emran, M., Mezhuyev, V., Kamaludin, A.: Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance. Technol. Soc. 101247 (2020)

    Google Scholar 

  43. Mohammed, F., Ibrahim, O., Nilashi, M., Alzurqa, E.: Cloud computing adoption model for e-government implementation. Inf. Dev. 33(3), 303–323 (2017)

    Article  Google Scholar 

  44. Teo, H.-H., Wei, K.K., Benbasat, I.: Predicting intention to adopt interorganizational linkages: an institutional perspective. MIS Q. 19–49 (2003)

    Google Scholar 

  45. DiMaggio, P., Powell, W.W.: The iron cage revisited: collective rationality and institutional isomorphism in organizational fields. Am. Sociol. Rev. 48(2), 147–160 (1983)

    Article  Google Scholar 

  46. Liang, H., Saraf, N., Hu, Q., Xue, Y.: Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Q. 59–87 (2007)

    Google Scholar 

  47. Zmud, R.W.: Diffusion of modern software practices—influence of centralization and formalization. Manage. Sci. 28(12), 1421–1431 (1982). https://doi.org/10.1287/mnsc.28.12.1421. (In English)

    Article  Google Scholar 

  48. Wymer, S.A., Regan, E.A.: Factors influencing e-commerce adoption and use by small and medium businesses. Electron. Mark. 15(4), 438–453 (2005)

    Article  Google Scholar 

  49. Hsu, P.-F., Kraemer, K.L., Dunkle, D.: Determinants of e-business use in US firms. Int. J. Electron. Commer. 10(4), 9–45 (2006)

    Article  Google Scholar 

  50. Martins, R., Oliveira, T., Thomas, M.A.: An empirical analysis to assess the determinants of SaaS diffusion in firms. Comput. Hum. Behav. 62, 19–33 (2016)

    Article  Google Scholar 

  51. Oliveira, T., Martins, M.F.: Literature review of information technology adoption models at firm level. Electron. J. Inf. Syst. Eval. 14(1), 110–121 (2011)

    Google Scholar 

  52. Yadegaridehkordi, E., Iahad, N.A., Ahmad, N.: Task-technology fit assessment of cloud-based collaborative learning technologies. Remote Work Collab. Breakthroughs Res. Pract. Breakthroughs Res. Pract. 371 (2017)

    Google Scholar 

  53. Creswell, J.W., Creswell, J.D.: Research design: Qualitative, quantitative, and mixed methods approaches, 4 edn. Sage Publications (2014)

    Google Scholar 

  54. Lune, H., Berg, B.L.: Qualitative Research Methods for the Social Sciences. Pearson Higher Ed (2016)

    Google Scholar 

  55. Mohammed, F., Alzahrani, A.I., Alfarraj, O., Ibrahim, O.: Cloud computing fitness for E-government implementation: importance-performance analysis. IEEE Access 6, 1236–1248 (2018)

    Article  Google Scholar 

  56. Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991)

    Article  Google Scholar 

  57. Grandon, E.E., Pearson, J.M.: Electronic commerce adoption: an empirical study of small and medium US businesses. Inf. Manag. 42(1), 197–216 (2004)

    Article  Google Scholar 

  58. Thong, J.Y.: An integrated model of information systems adoption in small businesses. J. Manag. Inf. Syst. 15(4), 187–214 (1999)

    Article  Google Scholar 

  59. Premkumar, G., Roberts, M.: Adoption of new information technologies in rural small businesses. Omega 27(4), 467–484 (1999)

    Article  Google Scholar 

  60. Tan, M., Teo, T.S.: Factors influencing the adoption of Internet banking. J. Assoc. Inf. Syst. 1(5), 1–42 (2000)

    Google Scholar 

  61. Zhu, K., Dong, S., Xu, S.X., Kraemer, K.L.: Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. Eur. J. Inf. Syst. 15(6), 601–616 (2006)

    Article  Google Scholar 

  62. Nkhoma, M.Z., Dang, D.P., De Souza-Daw, A.: Contributing factors of cloud computing adoption: a technology-organisation-environment framework approach. In: Proceedings of the European Conference on Information Management & Evaluation, pp. 180–189 (2013)

    Google Scholar 

  63. Gupta, P., Seetharaman, A., Raj, J.R.: The usage and adoption of cloud computing by small and medium businesses. Int. J. Inf. Manag. 33(5), 861–874 (2013). http://dx.doi.org/10.1016/j.ijinfomgt.2013.07.001

  64. Chan, F.T., Chong, A.Y.-L.: Determinants of mobile supply chain management system diffusion: a structural equation analysis of manufacturing firms. Int. J. Prod. Res. 51(4), 1196–1213 (2013)

    Article  Google Scholar 

  65. Gangwar, H., Date, H., Ramaswamy, R.: Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. J. Enterp. Inf. Manag. 28(1), 107–130 (2015). https://doi.org/10.1108/Jeim-08-2013-0065. (In English)

    Article  Google Scholar 

  66. Oliveira, T., Thomas, M., Espadanal, M.: Assessing the determinants of cloud computing adoption: an analysis of the manufacturing and services sectors). Inf. Manag. 51(5), 497–510 (2014). https://doi.org/10.1016/j.im.2014.03.006. (In English)

    Article  Google Scholar 

  67. Tehrani, S.R., Shirazi, F.: Factors influencing the adoption of cloud computing by small and medium size enterprises (SMEs). In: S. Yamamoto (ed.) Human Interface and the Management of Information: Information and Knowledge in Applications and Services, Pt Ii. Lecture Notes in Computer Science, vol. 8522, pp. 631–642 (2014)

    Google Scholar 

  68. Hair J.F. Jr., Sarstedt, M., Ringle, C.M., Gudergan, S.P.: Advanced Issues in Partial Least Squares Structural Equation Modeling. saGe Publications (2017)

    Google Scholar 

  69. Al-Emran, M., Mezhuyev, V., Kamaludin, A.: PLS-SEM in information systems research: A comprehensive methodological reference. In: International Conference on Advanced Intelligent Systems and Informatics. Springer, Berlin, pp. 644–653 (2018)

    Google Scholar 

  70. Sarstedt, M., Ringle, C.M., Hair, J.F.: Partial least squares structural equation modeling. Handb. Market Res. 26, 1–40 (2017)

    MATH  Google Scholar 

  71. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2015)

    Article  Google Scholar 

  72. Cohen, J.: Statistical power analysis for the behavioral sciences. Lawrence Earlbaum Associates, Hilsdale, NJ. no. 1. Lawrence Erlbaum Associates, Publishers, New York, p. 23 (1988)

    Google Scholar 

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Al-Sharafi, M.A., AlAjmi, Q., Al-Emran, M., Qasem, Y.A.M., Aldheleai, Y.M. (2021). Cloud Computing Adoption in Higher Education: An Integrated Theoretical 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_12

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