This study examines the challenges of implementing government asset monetization projects in Lorestan Province. Asset monetization, defined as making government assets more productive to increase revenue and foster economic growth, has faced serious obstacles in Lorestan. The research aimed to identify and prioritize these barriers using the fuzzy cognitive mapping method. It is applied and exploratory in nature, conducted through a mixed methodology combining qualitative and quantitative approaches. The statistical population consisted of 15 experts, including university faculty in economics and specialists from the provincial economic and planning organizations, selected through purposive sampling based on theoretical saturation. Data collection tools were interviews for the qualitative part and questionnaires for the quantitative part. Validity and reliability were assessed through content and theoretical methods, coder consistency, and test–retest techniques. Data analysis employed MAXQDA software for qualitative coding and fuzzy cognitive mapping, Excel, and Gephi for quantitative analysis. Findings revealed that the most critical barrier is the lack of strong political support, followed by socio‑political resistance, abuse of power and corruption, absence of financial incentives, political instability, lack of legal transparency, and weak buyer eligibility assessment.
Fathi F, Hasanvand A, Arefnezhad M. Providing a Fuzzy Mapping of the Barriers to the Effective Implementation of Government Asset Monetization Schemes in Lorestan province. qjfep 2025; 13 (51) :94-136 URL: http://qjfep.ir/article-1-1741-en.html