Organization Support for Cloud Computing Implementation Success in Education System: Scale Development and Validity in Delphi

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    Cloud computing (CC) support for learning systems has been viewed as one of the most discussed issues that promise to modernize computing by providing visualized resources as a service over the internet. To be stable in cloud computing acquisition requires an education institution to address many of the same concerns they face in implementing an Information System (IS) service. Currently, there is still lack of CC implementation standard and organizational support that impacted VLE system performance. Previous research has reported that the influence of the CC implementation decision depends on the impact of various factors studied. Nonetheless, organizational support is the least factor mentioned especially studies from Malaysia. Thus, the main purpose of this study is to develop a validated scale of organizational support in implementation decision activities towards CC implementation success. In this paper, the Delphi process adopted to measure consensus among nominal group technique (also known as the expert panel). Key methodological issues in using the methods are discussed, along with the distinct contribution of consensus methods as aids to decision making in education service development. The study has adapted stages of proses flow of scale development and validation of measurement items according to legitimate measures in the Delphi technique. The measurement scales formed are based on literature review and field studies conducted to increase the reliability and validity values. Organizational support constructs were divided into top management support, firm size, awareness, Technology Readiness and cost effectiveness. A total of 5 items have been successfully set up for further validation.



  • Keywords

    Cloud Computing; Visualized; Organization Support; VLE

  • References

      [1] Turban E (California SU at LB, Volonino L (Canisius C. Information Technology Management, 8th Edition [Internet]. John Wiley & Sons, Inc. 2011. 376 p. Available from:

      [2] Selim H. Critical success factors for e-learning acceptance: Confirmatory factor models. Comput Educ [Internet]. 2007;49(2):396–413. Available from:

      [3] Cheawjindakarn B, Suwannatthachote P, Theeraroungchaisri A. Critical Success Factors for Online Distance Learning in Higher Education: A Review of the Literature. Creat Educ J [Internet]. 2012 [cited 2015 Aug 10];3(8):61–6. Available from:

      [4] Abdollahzadehgan A, Che Hussin AR, Gohary MM, Amini M. The Organizational Critical Success Factors for Adopting Cloud Computing in SMEs. J Inf Syst Res Innov. 2013;4(1):67–74.

      [5] Aghasian E, Pourtaheri H, Ahmadizadeh E. An Investigation on the current situation of green ICT in University Technology Malaysia - Based on Stage of Growth and monitoring Green Technology Standardization criteria. Open Int J Informatics. 2013;1:18–28.

      [6] Light B. A Critical Success Factors Model For ERP Implementation. IEEE Softw. 1999;(June 1999):30–6.

      [7] Freund YP. Critical success factors. Emerald Insight [Internet]. 2006;16(4):8–69. Available from:

      [8] Jones J, Hunter D. Consensus methods for medical and health services research. BMJ [Internet]. 1995;311(7001):376–80. Available from:

      [9] Hailu A. Factors influencing cloud-computing technology adoption in developing countries. J Chem Inf Model. 2012;53(December):160.

      [10] Nasrin B, Razak Ab. CH, Halina MD. Cloud Computing Adoption Factors for University Administration. J Teknologi. 2014;5(Cc):81–7.

      [11] Sabi HM, Uzoka FME, Langmia K, Njeh FN, Han F. Conceptualizing a model for adoption of cloud computing in education. In: International Journal of Information Management [Internet]. Elsevier Ltd; 2016. p. 183–91. Available from:

      [12] Abubakar A, Bass J, Allison I. Cloud Computing: Adoption Issues for Sub-Saharan Africa SMEs. Electron J Inf Syst Dev Ctries. 2014;62(1):1–17.

      [13] Ali O, Soar J, Yong J. An investigation of the challenges and issues influencing the adoption of cloud computing in Australian regional municipal governments. J Inf Secur Appl [Internet]. 2015 Dec [cited 2016 Feb 20]; Available from:

      [14] Tashkandi A, Al-Jabri I. Cloud Computing Adoption by Higher Education Institutions in Saudi Arabia: Analysis Based on the TOE. 2015 Int Conf Cloud Comput [Internet]. 2015 Apr;1–8. Available from:

      [15] Alshamaila Y, Papagiannidis S, Li F. Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. J Enterp Inf Manag [Internet]. 2013 Apr 12 [cited 2016 Jan 12];26(3):250–75. Available from:

      [16] Armbrust M, Joseph AD, Katz RH, Patterson DA. Above the Clouds : A Berkeley View of Cloud Computing. 2009;

      [17] Bedward R, Fokum DT. A Cloud computing adoption approach for Jamaican institutions. Conf Proc - IEEE SOUTHEASTCON [Internet]. 2014 Mar;1–6. Available from:

      [18] Benlian A, Hess T. Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. 2013;52(2011):2012–3.

      [19] Cascio R, Mariadoss BJ, Mouri N. The impact of management commitment alignment on salespersons’ adoption of sales force automation technologies: An empirical investigation. Ind Mark Manag [Internet]. 2010;39(7):1088–96. Available from:

      [20] Cegielski CG, Jones-Farmer LA, Wu Y, Hazen BT. Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach [Internet]. Vol. 23, International Journal of Logistics Management, The. 2012 [cited 2016 Mar 4]. 184-211 p. Available from:

      [21] Chang V, Kuo Y-H, Ramachandran M. Cloud Computing Adoption Framework–a security framework for business clouds. Futur Gener Comput Syst [Internet]. 2015 Oct [cited 2015 Nov 1];57:24–41. Available from:

      [22] Dahiru AA, Bass JM, Allison IK. Cloud computing adoption in sub-Saharan Africa: An analysis using institutions and capabilities. Inf Soc (i-Society), 2014 Int Conf Inf Soc. 2014;98–103.

      [23] Gutierrez A, Boukrami E, Lumsden R. Technological, organizational and environmental factors influencing managers’ decision to adopt cloud computing in the UK. J Enterp Inf Manag. 2014;28(6):788–807.

      [24] Hussein WN. E-Business and Cloud Computing Awareness for Malaysian SMEs : A Recommendation from Academic and Industry Perspectives. 2013;2013:180–5.

      [25] Idris AS, Anuar N, Misron MM, Fauzi FHM. The readiness of Cloud Computing: A case study in Politeknik Sultan Salahuddin Abdul Aziz Shah, Shah Alam. 2014 Int Conf Comput Sci Technol ICCST 2014. 2015;2014.

      [26] Korpelainen K. Theories of ICT system implementation and adoption - a critical review. 2011.

      [27] Low C, Chen Y, Wu M. Understanding the determinants of cloud computing adoption. Ind Manag Data Syst [Internet]. 2011 [cited 2014 Oct 1];111(7):1006–23. Available from:

      [28] Marston S, Bandyopadhyay S, Ghalsasi a. Cloud Computing - The Business Perspective. 2011 44th Hawaii Int Conf Syst Sci [Internet]. 2011;1–11. Available from:

      [29] Oliveira T, Thomas M, Espadanal M. Assessing the determinants of cloud computing adoption : An analysis of the manufacturing and services sectors. Inf Manag Elsevier. 2014;51(5):497–510.

      [30] Rahimli A. Factors Influencing Organization Adoption Decision On Cloud Computing. Int J Cloud Computing Serv Sci. 2013;2(2): PP. 140-146.

      [31] Tweel A. Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption Dissertation Submitted to Northcentral University Graduate Faculty of the School of Business and Technology Management in Partial Fu. 2012;(July):164.

      [32] Subramanian N, Abdulrahman MD, Zhou X. Reprint of “Integration of logistics and cloud computing service providers: Cost and green benefits in the Chinese context.” Transp Res Part E Logistics Transp Rev [Internet]. 2015;74:81–93. Available from:

      [33] Rahimah K, Aziati N. The integrated framework of cloud computing implementation in higher education institution: A review of the literature. Adv Sci Lett. 2017;23(2):1475–9.

      [34] de Villiers MR, de Villiers PJT, Kent AP. The Delphi technique in health sciences education research. Med Teach. 2005;27(7):639–43.

      [35] Goel A, Yang N. Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. J Enterp Inf Manag. 2015;28(1):107–30.

      [36] Alkhanak EN, Lee SP, Khan SUR. Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities. Futur Gener Comput Syst [Internet]. 2015;50:3–21. Available from:

      [37] Sabi HM, Uzoka FE, Langmia K, Njeh FN. International Journal of Information Management Conceptualizing a model for adoption of cloud computing in education. Int J Inf Manage [Internet]. 2016;36(2):183–91. Available from:

      [38] Lewis JR, Erdinç O. User experience rating scales with 7, 11, or 101 points: does it matter? J Usability Stud. 2017;12(2):73–91.

      [39] Bourgeois J, Pugmire L, Stevenson K, Swanson N, Swanson B. The Delphi Method : A qualitative means to a better future. 1948;1–4.

      [40] Chang V, Walters RJ, Wills G. Review of C Loud C Omputing and Existing F Frameworks for C Loud Adoption. IEEE Security Priv. 2011;(2009):35.

      [41] Garrison G, Wakefield RL, Kim S. The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. Int J Inf Manage [Internet]. 2015;35(4):377–93. Available from:

      [42] Chou DC. Cloud computing: A value creation model. Comput Stand Interfaces [Internet]. 2015;38:72–7. Available from:

      [43] Ross VW. Factors influencing the adoption of cloud computing by decision-making managers. ProQuest Diss Theses [Internet]. 2010;(February):97–n/a. Available from:




Article ID: 18420
DOI: 10.14419/ijet.v7i3.30.18420

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.