Cloud Computing Adoption among Higher Education Institutions in Yemen: An Integrated Conceptual Framework

  • Authors

    • Abdulnoor Saleh
    • Sulfeeza Mohd Drus
    • Siti Salbiah M. Shariff
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.23910
  • Cloud computing, educational cloud, higher education institution, individual theory, organizational theory.

  • Researches in technology adoption among the Middle Eastern countries are more concentrated on e-government, e-commerce, and internet banking domains. Higher education institutions (HEIs) in these countries fall behind their Western counterparts due to the cutting edge technology adopted for research, teaching, and collaboration in the Western countries. One of the Middle Eastern countries, which is the focus of this research, Yemen, still adopt the conventional way of teaching in the HEIs, which could result in failures to accomplish the optimal desired educational performance. Higher education sector in Yemen faces a number of obstacles and challenges in delivering a good education to its entire population in terms of lack of reliable infrastructure; limited financial resources; lack of teaching staff and expertise; and lack of IT personnel to manage the existing restricted IT infrastructure. Cloud computing, a pool of computer-related resources and services, is seen as one of new technologies which can assist in improving educational delivery in Yemen. Thus, this study firstly, identified the factors that influence the cloud computing adoption in general. Then, it categorized these factors into four (4) domains, namely technological, organizational, environmental and individual domains; and lastly, validated the selected factors using semi-structured interview with IT experts. Based on the validation session with the IT experts, the factors were ranked based on their applicability and suitability in Yemeni’s higher education environments and 13 factors were selected. These 13 factors are adopted from Technology Acceptance Model (TAM), Theory of Reasoned Action (TRA), Technology-Organization-Environment (TOE) framework and Diffusion of Innovation (DOI) theory. Then, a conceptual framework was developed using these 13 factors to identify the significant factors that influence cloud computing adoption in HEIs in Yemen. It is hoped by having a better understanding on the factors that influence cloud computing adoption in HEIs in Yemen, the responsible parties such as the government agencies, HEIs managements and staff will be more prepared to ensure successful adoption of cloud computing in their HEIs and ultimately help Yemen to improve its higher education delivery to its people.

     

     

  • References

    1. [

    2. lang=X-NONE style='font-size:8.0pt;mso-fareast-language:KO;mso-no-proof:no'>
    3. style='mso-element:field-begin'> ADDIN EN.REFLIST
    4. style='mso-element:field-separator'>1] Lawton, G., Moving the OS to the Web. IEEE Computer, 2008. 41(3): p. 16-19.

      [2] Ivica, C., J.T. Riley, and C. Shubert. StarHPC—Teaching parallel programming within elastic compute cloud. in Information Technology Interfaces, 2009. ITI'09. Proceedings of the ITI 2009 31st International Conference on. 2009. IEEE.

      [3] Vaquero, L.M., EduCloud: PaaS versus IaaS cloud usage for an advanced computer science course. IEEE Transactions on Education, 2011. 54(4): p. 590-598.

      [4] Biswas, S. HOW CAN CLOUD COMPUTING HELP IN EDUCATION? 2011; Available from: http://cloudtweaks.com/2011/02/how-can-cloud-computing-help-in-education/.

      [5] Morrill, D. Cloud Computing in Education. 2011; Available from: https://www.cloudave.com/14857/cloud-computing-in-education/.

      [6] Mircea, M. and A.I. Andreescu, Using cloud computing in higher education: A strategy to improve agility in the current financial crisis. Communications of the IBIMA, 2011.

      [7] Avgerou, C., Information systems in developing countries: a critical research review. Journal of information Technology, 2008. 23(3): p. 133-146.

      [8] Rogers, E., Diffusion of Innovations. New York. A Division of Simon & Schuster. 1995, Inc.

      [9] Venkatesh, V., et al., User acceptance of information technology: Toward a unified view. MIS quarterly, 2003: p. 425-478.

      [10] Oly Ndubisi, N. and M. Jantan, Evaluating IS usage in Malaysian small and medium-sized firms using the technology acceptance model. Logistics Information Management, 2003. 16(6): p. 440-450.

      [11] Kim, J., et al., Training soft skills via e-learning: international chain hotels. International Journal of Contemporary Hospitality Management, 2011. 23(6): p. 739-763.

      [12] Ajzen, I. and M. Fishbein, Belief, attitude, intention and behavior: An introduction to theory and research. 1975, Reading, MA: Addison-Wesley.

      [13] Ajzen, I., The theory of planned behavior. Organizational Behavior and Human Processes, 50, 179-211. 1991.

      [14] Davis, F.D., R.P. Bagozzi, and P.R. Warshaw, User acceptance of computer technology: a comparison of two theoretical models. Management science, 1989. 35(8): p. 982-1003.

      [13] Thompson, R.L., C.A. Higgins, and J.M. Howell, Personal computing: toward a conceptual model of utilization. MIS quarterly, 1991: p. 125-143.

      [16] Davis, F.D., R.P. Bagozzi, and P.R. Warshaw, Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 1992. 22(14): p. 1111-1132.

      [17] Bandura, A., Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 1977. 84(2): p. 191.

      [18] Tornatzky, L., J. Eveland, and M. Fleischer, Technological innovation as a process. The Processes of Technological Innovation, Lexington Books, Lexington, MA, 1990: p. 27-50.

      [19] Alshamaila, Y., S. Papagiannidis, and F. Li, Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. Journal of Enterprise Information Management, 2013. 26(3): p. 250-275.

      [20] Creswell, J.W., Research design: Qualitative, quantitative, and mixed methods approaches. 2013: Sage publications.

      [21] Abdulnoor Saleh, S.M.D., Siti S. M. Shariff, EMPRICAL STUDIES ON CLOUD COMPUTING ADOPTION: A SYSTEMATIC LITERATURE REVIEW JOURNAL OF THEORETICAL AND APPLIED INFORMATION TECHNOLOGY, 2017.

      [22] Leedy, P.D. and J.E. Ormrod, Practical research. 2005: publisher not identified.

      [23] Tashkandi, A.N. and I.M. Al-Jabri, Cloud computing adoption by higher education institutions in Saudi Arabia: an exploratory study. Cluster Computing, 2015. 18(4): p. 1527-1537.

      [24] Tan, J., K. Tyler, and A. Manica, Business-to-business adoption of eCommerce in China. Information & management, 2007. 44(3): p. 332-351.

      [25] Mehrotra, A., Implementing IT in SCM—Understanding the Challenges. Global Business Review, 2010. 11(2): p. 167-184.

      [26] Pillania, R.K., State of organizational culture for knowledge management in Indian industry. Global Business Review, 2006. 7(1): p. 119-135.

      [27] Dourish, P. and V. Bellotti. Awareness and coordination in shared workspaces. in Proceedings of the 1992 ACM conference on Computer-supported cooperative work. 1992. ACM.

      [28] Nasri, W. and L. Charfeddine, An exploration of facebook. com adoption in Tunisia using technology acceptance model (TAM) and theory of reasoned action (TRA). Interdisciplinary Journal of Contemporary Research in Business, 2012. 4(5): p. 948.

      [29] Ajzen, I. and M. Fishbein, Understanding attitudes and predicting social behaviour. 1980.

      [30] Seymour, L., W. Makanya, and S. Berrangé. End-users’ acceptance of enterprise resource planning systems: An investigation of antecedents. in Proceedings of the 6th Annual ISOnEworld Conference. 2007.

    5. mso-fareast-font-family:Batang;mso-ansi-language:EN-US;mso-fareast-language:
    6. KO;mso-bidi-language:AR-SA'>

  • Downloads

  • How to Cite

    Saleh, A., Mohd Drus, S., & Salbiah M. Shariff, S. (2018). Cloud Computing Adoption among Higher Education Institutions in Yemen: An Integrated Conceptual Framework. International Journal of Engineering & Technology, 7(4.36), 429-434. https://doi.org/10.14419/ijet.v7i4.36.23910