Recognizing and understanding the destructiveness of knowledge in government organizations; analyzing the influencing factors and consequences using the FCM method

Articles in Press

Document Type : Research Article

Authors

1 Department of Business Administration, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran.

2 Department Business Administration, Lorestan University, Khorramabad, Iran.

Abstract

Purpose: Knowledge sabotage, as an extreme form of counterproductive knowledge behavior, occurs when an employee intentionally provides incorrect knowledge to a colleague or hides very important knowledge, while knowing that this knowledge is needed and must be used effectively in the workplace. Knowledge sabotage is very harmful because it penalizes not only employees and the organization, but also the customers the organization serves. Accordingly, the present study was conducted with the aim of identifying the effective factors and consequences of sabotage in government organizations.

Research Methodology: The present study is a mixed method study based on qualitative and quantitative research, and is also classified as inductive deductive research in terms of research philosophy. This study is applied in terms of its purpose and exploratory in terms of its data collection method. In the present study, managers and employees of government organizations were selected as samples. Using purposive sampling method and based on the theoretical saturation principle, 25 managers and employees of government organizations were selected as sample members. The data collection tool in the qualitative part is an interview, the validity and reliability of which was carried out using content validity and theoretical validity and the method of intra-coder and inter-coder reliability measurement. It is necessary to explain that since the present study is a mixed research with an exploratory approac

Keywords

Main Subjects

Organizational Culture Management

Articles in Press, Accepted Manuscript
Available Online from 31 January 2026

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