• Samson O. Fadiya, Dr. Management Information Systems, Girne American University
Keywords: Adoption, Big Data, BDDSA, Management Information System, ORACLE


Big Data, as a Decision Support Tools in numerous firms, has offered the capacity to assemble, store, access and investigate massive measures of information (data) so that better choice of decisions can be made with respect to clients, providers, employees, logistics, and framework. Contrasts in the utilization of Information Technology (IT) have been found in various countries, thus it is important to lead a far reaching investigation of the encouraging and repressing components (factors) in the adoption and diffusion of BDDSA in Nigeria. The point of this review was accordingly to fill the hole by exploring factors influencing the effective selection of BDDSA in Nigeria MIS (Management Information System) user organizations.


Download data is not yet available.

Article Metrics


Alagbe, E. E., Susu, A. A., & Dosunmu, A. O. (2016). Modeling and Simulation of the Autocatalytic Kinetics of Haemoglobin SS Polymerization: Onset of Polymerization. Journal of Biosciences and Medicines, 4(03), 21

Bourgeois, D. T. (2014). Information systems for business and beyond. Washington: The Saylor Academy.

Decker, H., Lhotská, L., Link, S., Spies, M., & Wagner, R. R. (Eds.). (2014). Database and Expert Systems Applications: 25th International Conference, DEXA 2014, Munich, Germany, September 1-4, 2014. Proceedings (Vol. 8644). Springer. doi:10.1007/978-3-319-10073-9

Jane P. Laudon and Kenneth C. Laudon. (2006). Essentials of Business Information Systems (7th Edition). Prentice-Hall, Inc., Upper Saddle River, NJ, USA.

Jewell, D., Barros, R. D., Diederichs, S., Duijvestijn, L. M., Hammersley, M., Hazra, A., ... & Portilla, I. (2014). Performance and capacity implications for big data. IBM Redbooks.

Laudon, J. P., & Laudon, K. C. (2006). Essentials of business information systems. Prentice-Hall, Inc..

Morabito, V. (2015). Big data and analytics. Strategic and organisational impacts. Springer. doi:10.1007/978-3-319-10665-6

Pearson, T., & Wegener, R. (2013). Big data: the organizational challenge. Bain Co.

Raichel, T. P., Kokila, S., & Sowmya, N. (2014). A Statistical Survey on Imperial Data Handling in Big Data. International Journal of Computer Trends and Technology (IJCTT), 18(4), 137-145

Singh, S. N. (2000). Impact of information technology on biomedical information centres and libraries in India: A critical evaluation. PhD diss., University of Rajesthan, page140.

Taplin, R. (2013). Intellectual Property Valuation and Innovation: Towards Global Harmonisation. Routledge.,%20R.%20(2013).%20Intellectual%20Property%20Valuation%20and%20Innovation:%20Towards%20Global%20Harmonisation.%20Routledge.&f=false Ziora, L., & Chluski, A. (2015). The application of big data in the management of healthcare organizations. A review of selected practical solutions. Informatyka Ekonomiczna, 1(35), 9-18.

How to Cite
O. Fadiya, S. (2017). ANALYSING A LARGE AMOUNT OF DATA AS A DECISION SUPPORT SYSTEMS TOOL IN NIGERIA ORGANISATION. International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 5(1), 121-129.