Identifying and Ranking the Predictors of Whistle-blowing in Organization: A Meta-Synthesis Approach

Despite of developing different mechanism and tools for controlling and decreasing administrative corruption in our country, Whistle-blowingis still known as the most important factor for discovering the corruption. Therefore, the purpose of this paper is identifying and ranking the predictors of whistle‐blowing behaviors in organizations. 

Design / Methodology / Approach:

This paper was done through the Meta Synthesis Analysis. For this purpose, after searching data bases, 44 related researches were selected to extract factors affecting on whistle‐blowing behaviors. Therefore, weighting and ranking indexes was completed by taking Shannon-Entropy method. 

Research Finding:

The result showed that whistle‐blowing value, personal responsibility, cost of whistle‐blowing and center of control are the most important factors affecting on whistle‐blowing behaviors.

Limitation and Consequences:

The current paper was concentrated on identifying the predictors of whistle‐blowing in organization. Future papers may be done to determine the consequences of whistle‐blowing.

Practical consequences:

Appearing whistle‐blowing behaviors in organizations is determined by different factors. Therefore, this factors should be identified in order to increasing employees’ participation in disclosing organizational deviant.  

Innovation or value of the article:

Achieving a comprehensive model with Meta Synthesis Approach as a pattern for other research.