Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector

Author:

Choi Youngseok,Lee HabinORCID,Irani Zahir

Funder

EU

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Reference94 articles.

1. Amankwah-Amoah, J. (2015). Safety or no safety in numbers? Governments, big data and public policy formulation. Industrial Management & Data Systems, 115(9), 1596–1603. doi: 10.1108/IMDS-04-2015-0158 .

2. Amann, M., Roehrich, J. K., Eßig, M., & Harland, C. (2014). Driving sustainable supply chain management in the public sector: The importance of public procurement in the European Union. Supply Chain Management: An International Journal, 19(3), 351–366.

3. Amin, A. H. M., Khan, A. I., & Nasution, B. B. (2012). Internet-scale pattern recognition: New techniques for voluminous data sets and data clouds (Vol. 20). Boca Raton: CRC Press. https://books.google.com/books?id=tJTjegWHs1gC&pgis=1 . Accessed March 17, 2016.

4. Andreou, A. S., Mateou, N. H., & Zombanakis, G. A. (2003). The Cyprus puzzle and the Greek-Turkish arms race: Forecasting developments using genetically evolved fuzzy cognitive maps. Defence and Peace Economics, 14(4), 293–310. doi: 10.1080/10242690302931 .

5. Axelrod, R. (1976). Structure of decision: The cognitive maps of political elites. Princeton: Princeton University Press. https://books.google.com/books?hl=en&lr=&id=aKh9BgAAQBAJ&pgis=1 . Accessed April 1, 2016.

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