A number of developing countries, including small island states, have common problems that have affected their development and growth. Knowledge Management (KM) initiatives can be used to address some of these issues, but these developing countries need to understand what is needed to implement them, in order to improve economic conditions. While many of these countries have access to technologies that can be used to assist in knowledge management, relevant and low cost KM initiatives need to be considered in improving their existing KM processes. Sectors critical to the growth of these developing countries include health care, agriculture, disaster recovery management, small and medium-size enterprise development. Knowledge Management for Development: Domains, Strategies and Technologies for Developing Countries highlights the opportunities in these sectors and provides advice as to how these countries should go about understanding, building and adopting the relevant KM strategies and technologies. This book identifies appropriate technologies which should be considered to increase productivity within the identified sectors in the developing countries, and also sectors in which knowledge management initiatives can yield maximum value. It also considers the constraints of these territories, recommending appropriate technologies and strategies for KM initiatives. It provides advice on how these technologies should be adopted in these sectors of developing countries. Investing in these strategies should benefit these countries development and growth.
About the editors
Kweku-Muata Osei-Bryson is a Professor of Information Systems at Virginia Commonwealth University and Research Fellow of the Information Systems Research Institute since Fall 1998. He was previously a Professor of Information Systems and Decision Analysis in the School of Business at Howard University, Washington, DC, U.S.A. He has also worked as an Information Systems practitioner in both industry and government. His research covers various areas including: Data Mining, Database Systems, Expert Systems, Decision Support Systems, Group Support Systems, Multi-Criteria Decision Analysis, Cluster Analysis, Integer Programming, and Parametric Programming. His teaching areas include: Data Mining, Data Warehousing, Database Systems, Systems Development. His papers have been published in various journals including: IEEE Transactions on Knowledge & Data Engineering, Data & Knowledge Engineering, Information & Software Technology, Decision Support Systems, Information Processing and Management, Information Systems, Computers & Operations Research, European Journal of Operational Research, Journal of the Operational Research Society, Journal of the Association for Information Systems, Annals of Operations Research, Mathematical & Computer Modeling, Journal of Multi-Criteria Decision Analysis, Application of Management Science. He currently serves on the Editorial Board of the Computers & Operations Research journal. (A full CV is attached for each editor)
