Knowledge-Based Organization of Project Work

By Oleg Tilchin.

Published by The Technology Collection

Format Price
Article: Print $US10.00
Article: Electronic $US5.00

The central problem in accomplishing complex and highly dynamic projects is effective organization of project work. A method of knowledge-based dynamic organization of collaborative project work is suggested. The method coordinates temporal, qualitative, and human resource requirements of the project process. Dynamic organization of collaborative project work is realized by construction of temporal sequence of project tasks, formation of a project team, and allocation of collaborating project workers for task performance. The sequence of project tasks divided into temporal groups corresponds to temporal, structure, and knowledge project parameters. The tasks of each group are maximally close in terms of task-relevant knowledge (knowledge necessary to perform a task). The project team is formed by selection of minimal quantity of workers capable to complete project tasks successfully. The workers are assigned to tasks based on a maximal proximity of personal knowledge and task-relevant knowledge. The interactions between project workers promote mutual compensation of a gap in personal knowledge. Such organizing of project work provides effective use of a minimum quantity of workers, qualitative project tasks performance, and reduction of project duration. It also allows organization of flexible hiring of project workers. The method may serve as a constructive basis for development of an adaptive system of knowledge-based project management.

Keywords: Temporal Task Groups, Collaborative Groups, Knowledge-Based Organizing Project Work

The International Journal of Technology, Knowledge and Society, Volume 6, Issue 3, pp.141-150. Article: Print (Spiral Bound). Article: Electronic (PDF File; 775.368KB).

Oleg Tilchin

Head, Department of Computer Science, Al- Qasemi Academic College of Education, Baqa El- Gharbieh, Israel

Oleg Tilchin has Ph.D. in Engineering Cybernetics and Information Theory since 1978. He specializes in information systems, knowledge management systems and methods of combinatorial optimization.

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