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(2011). A Theorization Process Based on Tacit Knowledge of Human Resources (A Case Study in Power and Water Industry). Electronic and Cyber Defense, 3(1), 27-52.
. "A Theorization Process Based on Tacit Knowledge of Human Resources (A Case Study in Power and Water Industry)". Electronic and Cyber Defense, 3, 1, 2011, 27-52.
(2011). 'A Theorization Process Based on Tacit Knowledge of Human Resources (A Case Study in Power and Water Industry)', Electronic and Cyber Defense, 3(1), pp. 27-52.
A Theorization Process Based on Tacit Knowledge of Human Resources (A Case Study in Power and Water Industry). Electronic and Cyber Defense, 2011; 3(1): 27-52.

A Theorization Process Based on Tacit Knowledge of Human Resources (A Case Study in Power and Water Industry)

پژوهش‌های مدیریت منابع انسانی
Article 2, Volume 3, Issue 1, April 2011, Pages 27-52    PDF (247.01 K)
Document Type: Research Paper
Receive Date: 08 July 2010,  Revise Date: 26 April 2011,  Accept Date: 25 May 2011 
Abstract
Personal Productivity depends on the knowledge and experience. The important point in making use of an individual’s experimental knowledge relates to the fact that his behavior follows a special rule under similar condition. Our own experience and that of the others prove that our actions and reactions against phenomena are correct. Human knowledge is divided into two general groups: a. explicit knowledge, and b. tacit knowledge. Each type of knowledge may convert into the other one. If tacit knowledge of the human resource refers to the knowledge he or she gets at workplace, a question arises here asking: 'How can this experimental hidden knowledge change into explicit knowledge?' This research is a case study conducted on the high ranking employees of power and water industry. In this research, hermeneutics quality method and survey method are combined. The main goal of this research is finding a process to convert tacit knowledge into explicit knowledge, and theorizing this process by inferring some of its principles.
 
Keywords
doctrine; Experience; knowledge management; Implicit Knowledge; Case Study; Case Analysis
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