Providing a Model of Privatization with Emphasis on Financial and Non-financial Factors

Subject Areas : • Emerging technology in the field of Accounting and its future

Hojjat Ghasemi belevari ¹ , akbar kanani ² , Ibrahim Navidi Abbaspour ³ , Hedar Mohammadzadeh Saltahe ⁴

1 - Department of Accounting,Marand Branch, Islamic Azad University,Marand, Iran.
2 - Assistant Professor, Department of Accounting, Islamic Azad University, Marand Branch, Iran
3 - Assistant Professor, Department of Accounting, Islamic Azad University, Marand Branch, Iran
4 - گروه حسابداری، واحد مرند،دانشگاه آزاد اسلامی،مرند، ایران.

Received: 2024-06-26 Accepted : 2024-12-06 Published : 2024-12-20

Keywords: Financial factors, Non-financial factors, Privatization, Privatization components,

Abstract :

Objectives: This study analyzes the components of privatization, assigns weights to these components, and develops a privatization model based on financial and non-financial factors. Design/methodology/approach: The research employs purposeful, explanatory, and exploratory methods to identify privatization patterns. Utilizing the Delphi method and structural interpretive modeling, data was collected from existing literature and insights gathered from managers and policymakers in privatization organizations. Six criteria were established as key components of privatization: economic factors, financial and accounting criteria, political factors, promotion of the private sector, government performance, and cultural/public dimensions. A hierarchical approach was used to construct a tree structure for evaluating options based on these criteria. Expert Choice software was utilized to prioritize components and propose an optimal model.

Findings: The findings indicate that political factors ranked highest among the components, followed by economic factors, financial and accounting criteria, and promotion of the private sector at the second level. Government performance and cultural/public dimensions were rated at the third level.

Innovation: The results could significantly impact decision-making in the private sector by enhancing efficiency. By prioritizing key components of privatization, this research suggests potential changes to current decision-making practices within the privatization sector.

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