The Impact of User Awareness on Successful Adoption of Decision Support System DSS in Developing Countries: The Context of Libyan Higher Education Ministry

Authors

  • Abubaker Kashada College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
  • Hongguang Li College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
  • Osama Kashadah Zawia University, faculty of economics, management department, Zawia, Libya

Keywords:

Decision support systems, Adoption of decision support systems, Developing countries, User awareness, Successful adoption of decision support system, DSS.

Abstract

                                     

This research study aims to discuss and evaluate the effect of user awareness and other factors relating to the awareness to the successful adoption of the technology in the developing countries. The researcher employed the use of questionnaire for the collection of data from numerous users in an attempt to understand how the main factors of user awareness affects the successful adoption of DSS systems in the developing countries. This paper analyzes the data that was obtained from the research work. The paper will begin with a brief introduction and background of the study topic, continue with a section of analyzing and discussion, provide numerous recommendations based on the information obtained and conclude the paper.

The researcher employed the deductive method to generalize the responses of the sample participants. Being a quantitative research, the researcher will use the statistical method to analyze the data. The questionnaire was distributed to a sample of 180 respondents to collect primary data and based on the convenience sample of respondents; the response rate was approximately 92%. The purposive sample selection method enabled the researcher to achieve maximum information from a sample distributed among many numerous developing countries in the world. The results showed that low user awareness remains to be a major and a significant contributor to the low rate of adoption of decision support systems in the developing countries. 

References

[1] Behrens, S., Jamieson, K., Jones, D., & Cranston, M. (2005). “Predicting system success using the technology acceptance model: A case study”. Paper presented to 16 th Australasian conference on information systems, Sydney, Australia.
[2] Mcnurlin, B., & Sprague, R. (2004). Information Systems Management in Practice.(6th Ed.). Prentice Hall, Englewood Cliffs, NJ.
[3] Turban, E., Aronson, J., Liang, T-P., & Sharda, R. (2007). Decision Support & Business Intelligence Systems. (8th Ed.). Upper Saddle River: Pearson Education.
[4] Nokhbatol, F., Menhaj, H., & Shafiee, M. (2010). Fuzzy decision support system for crisis management with a new structure for decision making. Expert Systems with Applications journal, 37(1), 3545-3552.
[5] Rogers, E. (1995). Diffusion of Innovation. (4th Ed.). Free Press, New York.
[6] Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. International Journal of Management Science, Vol.27, N.4, pp.467-484.
[7] Kusunoki, D., Sarcevic, A., Zhang, Z., & Yala, M. (2014) Sketching Awareness: A Participatory Study to Elicit Designs for Supporting Ad Hoc Emergency Medical Teamwork. Computer Supported Cooperative Work (CSCW), 1-38.
[8] Adebayo, E., & Adesope, O. (2007). Awareness, access and usage of information and communication technologies between female researchers and extensionists. International Journal of Education and Development Using Information and Communication Technology, 3(1), 85-93.
[9] Jackson, L., Zhao, Y., Kolenic, A., Fitzgerald, H., Harold, R., & Eye, A. (2008). Race, Gender, and Information Technology Use: The New Digital Divide. Cyber psychology & behavior, 11(4), 437-442.
[10] Czaja J., & Lee C. (2007). The impact of aging on access to technology. Universal Access in the Information Society 5(4), 341–349.
[11] Carter, L., & Belanger, F. 2005. The utilization of e-government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25
[12] Czaja, S.J., Charness, N., Fisk, A.D., Hertzog, C., Nair, S.N., Rogers, W.A., & Sharit, J. (2006). Factors predicting the use of technology:Findings from the Center for Research and ducation on Aging and Technology Enhancement (CREATE). Psychology and Aging, 21, 333–352.
[13] Agarwal, R., M. Ganco, R. H. Ziedonis. 2009. Reputations for toughness in IP enforcement: Effects on knowledge spillovers through employee mobility. Strategic Management J. Forthcoming
[14] Fawole, O., & Olajide, B. (2012). Awareness and Use of Information Communication Technologies by Farmers in Oyo State, Nigeria. Journal Of Agricultural & Food Information, 13(4), 326-337.
[15] Riddell, C., & Song, X. (2012). The Role of Education in Technology Use and Adoption: Evidence from the Canadian Workplace and Employee Survey. Discussion Paper, 6377, 1-34.
[16] Carlson, J., Carlson, D., & Wadsworth, L. (1999). On the relationship between DSS design characteristics and ethical decision making. Journal Of Managerial Issues, 11(2).
[17] Sharda, R., S. H. Barr and J. C. McDonnell (1988). Decision Support System Effectiveness: A Review and an Empirical Test.Management Science. 34(2), 139-159.

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Published

2016-02-17

How to Cite

Kashada, A., Li, H., & Kashadah, O. (2016). The Impact of User Awareness on Successful Adoption of Decision Support System DSS in Developing Countries: The Context of Libyan Higher Education Ministry. American Scientific Research Journal for Engineering, Technology, and Sciences, 16(1), 334–345. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/1400

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