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Home > CIIMA > Vol. 9 (2009) > Iss. 3

 

Communications of the IIMA

Abstract

This paper discusses the issues related to capturing and transferring knowledge in management consulting organization and proposes a framework to implement a knowledge transferring environment for intelligent working system. The proposed framework make contribution in the area of capturing tacit aspect of consultant’s knowledge, and how they interpret information and produce unique work. At the same time it explores how the transfer of explicit knowledge plays a major role to understand the interpretation of individual expert. Within the organization various types of knowledge resides which play a major role in organizational learning and also how organization defines itself in the arena of business. The consultants’ knowledge both explicit and tacit, is an intellectual asset to both the organization and the consultants themselves, and thus, makes the technology an important tool to use to find different ways to share this knowledge without jeopardizing individuals’ right to their knowledge that organization or other consultants’ access. Paper reviews literature that discussed researchers’ work on identifying types of knowledge, and various techniques that capture knowledge to resolve the loss of intellectual capital.. An analytical approach is used to analyze the studies and to classify the hidden dimensions of knowledge transfer. It offers a conceptual framework based upon Nonaka’s patterns for creating knowledge and identifies the pattern of knowledge creation and transfer. It applies interpretive organizational learning that is dependent upon the tacit aspect of the consultant knowledge and evaluates levels of professional intellects as operational measurements in knowledge producing organizations by using different techniques and technologies. In the end it postulates a strategic operational model to transfer knowledge especially the tacit knowledge to create a continuous organizational learning environment. It uses an example to understand the implementation of the operational model and to predict a productive resultant value.

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