Valuation of factors affecting people's participation in submitting corruption reports to the General Inspection Organization using the best-worst fuzzy method (Case study: Fars Provincial Inspectorate General)

Articles in Press

Document Type : Original Article

Authors
Mohammadreza Arghavan 1
Mohammadreza Nourbakhsh 2
Abbas Sonati 3
1 Master of Public Administration, Human Resources Development, Department of Management, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran.
2 PhD in Applied Mathematics-Statistics , Center for Public Oversight and Complaints Handling, General Inspection Organization, Tehran, Iran.
3 PhD in Management, Decision Making and Policy Making, Department of Statistics and Organizational Management, Interdisciplinary Studies Research Institute, Judiciary Research Institute, Tehran, Iran.
Abstract
The present study seeks to prioritize the factors affecting people's participation in submitting corruption reports to the General Inspection Organization with the help of experts from the Fars Provincial Inspectorate General. The research was conducted quantitatively; using the best-worst fuzzy method, the effective factors were determined and prioritized. The statistical population of the study in the best-worst fuzzy section (experts) included senior managers of the General Inspection of Fars Province (Inspector General, Deputy Inspectors General, and Chief Inspectors), who were 9 people in total, all of whom were selected as samples. The findings showed that among the components, the security features component is of the greatest importance and the structural features are of the least importance. The results showed that when prioritizing the effective factors for attracting people's participation in submitting corruption reports, maintaining the security of reporters and strengthening their motivation have a high priority and special attention should be paid to them.
Keywords
People'
s participation, corruption reporting, General Inspection Organization, prioritization, best-worst fuzzy
Subjects
Administrative Health Research

Articles in Press, Accepted Manuscript
Available Online from 17 February 2026

  • Receive Date 14 September 2025
  • Accept Date 17 February 2026