Interpretive-Structural Modeling of Influence and Dependency companies of ISIPO- Deep analysis

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Purpose

The purpose of this research is to create a deep understanding of the way tasks are performed in organizational structures (except for the existing formal structure).

Methodology

By using interpretive-structural modeling and using the opinions of 6 senior employees of Northern Khorasan Industrial Estates Company, the 12 active components in the activity structure of this company were deeply analyzed and hidden relationships between these components (as research variables) were identified.

Findings

Based on this, it was found that the set of activities in this organization can be categorized into 4 levels according to its distance from the main mission of the organization. These levels revealed the differentiation of "dominant" interactions and effects between different organizational departments regardless of the levels defined in the formal structure of the organization. At the lowest level of the model, "Human Resources Development" and "Security" are the most effective departments of the organization. Also, in this analysis, it was found that "public relations" and "financing and market development" are considered the most effective parts of the organization. 

Originality/ value

The researchers' investigations showed that the use of this research method to analyze the organizational structure and hierarchy has never been done before. 

Recommendations

The structural scheme of an organization, regardless of what is defined as the official structure of the organization, can be influenced by various factors, including the organization's environment. With the help of this method, it is possible to achieve this true schema of the structure of an organization through deep analysis.

Language:
Persian
Published:
Journal of Management and Development Process, Volume:37 Issue: 2, 2024
Pages:
73 to 96
https://www.magiran.com/p2849190  
سامانه نویسندگان
  • Khani، Davoud
    Corresponding Author (1)
    Khani, Davoud
    Assistant Professor Faculty of Management, Payame Noor University, تهران, Iran
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