Abstarct: Systemic corruption in Iraq's public sector, as one of the most profound obstacles to development and good governance, requires innovative and multidimensional solutions. This study aimed to design and validate an indigenous frxamework for applying blockchain technology to reduce corruption in Iraq's public sector. A sequential exploratory mixed-methods design was employed across two phases. In the qualitative phase, 27 in-depth semi-structured interviews were conducted with three groups of Iraqi experts (government managers, university faculty members, and blockchain specialists), and data were analyzed using Braun and Clarke's (2006) thematic analysis method with MAXQDA software. This phase identified four main categories of barriers (institutional, legal, cultural, and technical) along with their corresponding indigenous requirements. In the quantitative phase, a researcher-developed questionnaire baxsed on the qualitative findings was designed and distributed among 358 participants from the target population. Quantitative data were analyzed using the Friedman test and Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4 software. Findings revealed that legal barriers hold the highest priority among the four categories, and a deep gap of 1.95 points exists between indigenous requirements (4.36) and implementation readiness (2.41). The structural model confirmed that the three key blockchain features (transparency, immutability, and smart contracts) have a significant positive effect on reducing corruption (R² = 0.59), with transparency emerging as the strongest predictor (β = 0.32). Furthermore, the positive moderating role of indigenous requirements was confirmed (β = 0.17), although its effect size was evaluated as small (f² = 0.08). By presenting a validated indigenous frxamework for the first time in the Iraqi context, this study emphasizes the necessity of simultaneous legal, institutional, and cultural reforms alongside technology implementation.