Decision Support
Owayid, A. M., K. Alrawi, and K. Shaalan,
"Strategic Change in Knowledge Management and E-Learning: Enhancing Workplace Learning",
European Journal of Scientific Research, vol. 100, issue 2, pp. 230-240, 2013.
Abstract E-learning is an emerging field in the intersection of education learning, and business, referring to delivered information and education services or improved via Internet services and related technologies. The paper is an attempt to show how knowledge management (KM) and E-learning (EL) specifically can be of prominent support in the workplace. Aligning firm as a whole to a continually changing environment as far as learning and innovation are concerned is a challenge. The paper posits that KM consists of enablers such as Information systems infrastructure, Team working, Employees involvement, Top management leadership and commitment, and Employee empowerment that are critical to the success of a knowledge-based organization.
The presented model in this paper integrates Knowledge management and elearning into adaptable framework that offers integrated support as well as effect on various Medias involved in the education systems. The model is a suggestion to improve teaching and learning process and how KM adds a successful help for educational consumers in selecting and evaluating e-learning media. The model is based on an analysis of KM and elearning literature and the information search process.
Anya, O., H. Tawfik, S. Amin, A. Nagar, and K. Shaalan,
"Context-Aware Knowledge Modelling for Decision Support in E-Health",
In the Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, IEEE, 21 July, 2010.
AbstractIn the context of e-health, professionals and healthcare service providers in various organisational and geographical locations are to work together, using information and communication systems, for the purpose of providing better patient-centred and technology-supported healthcare services at any time and from anywhere. However, various organisations and geographies have varying contexts of work, which are dependent on their local work culture, available expertise,available technologies, people's perspectives and attitudes and organisational and regional agendas. As a result, there is the need to ensure that a suggestion – information and knowledge –provided by a professional to support decision making in a different, and often distant, organisation and geography takes into cognizance the context of the local work setting in which the suggestion is to be used. To meet this challenge, we propose a framework for context-aware knowledge modelling in e-health,which we refer to as Context Morph. Context Morph combines the commonKADS knowledge modelling methodology with the concept of activity landscape and context-aware modelling techniques in order to morph, i.e. enrich and optimise, a knowledge resource to support decision making across various contexts of work. The goal is to integrate explicit information and tacit expert experiences across various work domains into a knowledge resource adequate for supporting the operational context of the work setting in which it is to be used.
