Friday 29th of March 2024
 

Information Technology (IT) Knowledge Management system stage model: A proposal for today's workplace


Ezekiel Uzor Okike and Zablon A. Mbero

The human society is a knowledge based economy, that is, an economy in which information services are dominant as an area of growth. Knowledge workers exist to produce or analyze ideas and information, and also to manage knowledge in the knowledge economy. Knowledge management requires modern Information and Communication Technologies (ICTs) as tools to support the strategies, methods, techniques, processes in the management of knowledge. In this respect, this paper proposes an IT Knowledge Management system stage model for todays work place which takes account of modern ICT infrastructures including web based technologies, Mobile devices, teleconferencing and Video conferencing systems . An IT knowledge management also defines the IT skills gaps and suggests appropriate IT training to bridge the gaps

Keywords: knowledge management, Information Technology, Skills gaps, IT training, strategic planning, system model.

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ABOUT THE AUTHORS

Ezekiel Uzor Okike
Dr Ezekiel Uzor Okike, MIEEE, MACM, MAIS is a Senior Lecturer in the Department of Computer Science, University of Botswana, Gaborone. He holds a PhD in Computer Science (2007), a Master of Information Science (M.Inf,Sc), 1994 and a B.Sc Computer Science, (1992) all from the University of Ibadan, Nigeria. He is a member of IEEE, ACM, and AIS. Presently he is the cluster chair of the Information Systems Cluster, Department of Computer Science, University of Botswana. He has published many papers in international journals and attended many international conferences where he presented papers. His research interests are in Software Engineering, Information Systems, Cyber Security, Programming languages, Compilers, and High Performance computing

Zablon A. Mbero
Mr. Zablon Akoko Mbero is a Lecturer in the Department of Computer Science, University of Botswana. He currently holds a Bachelor of Science (B.Sc.) degree from Kenyatta University in Kenya and a Master of Science (M.Sc.) degree in Information Systems from the University of Nairobi in Kenya. He is pursuing Ph.D. in Computer Science from the University of Western Cape at Cape Town in Republic of South Africa. He is professionally qualified CCNA (Certified Cisco Network Associate), CCAI (Certified Cisco Associate Instructor), and CCNP (Certified Cisco Network Professional) in networks. He is also a fellow member of the Computer Society of Botswana. His research interests include Mobile Ad Hoc networks, Sensor Networks, Routing in Networks, Social Networks, Neural Networks, Machine Learning and artificial intelligence, E-learning in networks. Mr Mbero has been the referee to a number of papers in international conferences including the recent one organized by the InSITE in Italy and International Journal of Machine Learning and Applications (IJMLA).


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