Digital Transformation and Administration Innovation 4 Serial Number 11 2026 01 01 Proposing an Information Technology Management Model in the FinTech Sector Using a Mixed-Methods Approach (Case Study: Tehran Stock Exchange Organization) Proposing an Information Technology Management Model in the FinTech Sector Using a Mixed-Methods Approach (Case Study: Tehran Stock Exchange Organization) 1 12 10.61838/dtai.211 EN Journal Article 2025 03 22 <p class="Abstract"><span style="font-family: 'Palatino Linotype',serif;">The present study aims to propose an Information Technology (IT) management model in the FinTech sector using a mixed-methods (qualitative–quantitative) approach, with a case study of the Tehran Stock Exchange Organization. To achieve this goal, after reviewing the concepts of information technology and financial technology (FinTech), the study first identified the components and indicators and developed a conceptual model through qualitative methods, and then validated the model and examined the relationships among its components through quantitative methods. The statistical population in the qualitative phase consisted of experts in the field of financial technology, while in the quantitative phase it included employees of the Tehran Stock Exchange Organization. The qualitative sample comprised 10 experts selected based on theoretical saturation, and the quantitative sample consisted of 80 individuals determined according to the Krejcie and Morgan table, selected through simple random sampling. For data collection, interviews and questionnaires were used. The validity of the research tools was confirmed through content validity (by experts) and construct validity (via confirmatory factor analysis using SPSS and SmartPLS4 software). The reliability was verified using Cronbach’s alpha coefficient and composite reliability. In data analysis, qualitative data were analyzed through interview coding, while quantitative data were examined using the Kolmogorov–Smirnov test to assess data distribution, and structural equation modeling (SEM) and path analysis were applied to validate the model and explore the relationships among variables. The qualitative findings revealed that in the proposed model, the causal conditions include (1) technology acceptance, (2) education and learning, and (3) infrastructure; the central phenomenon is (4) information technology management; the facilitators include (5) quality of financial services; the intervening conditions consist of (6) FinTech barriers and challenges; the strategy involves (7) financial knowledge management; and the consequences are represented by (8) IT management outcomes. The quantitative results indicated that technology acceptance, education and learning, and infrastructure have a significant positive effect on information technology management, which in turn enhances the level of financial knowledge management. Moreover, the results showed that the quality of financial services, as well as barriers and challenges, both directly and indirectly—through financial knowledge management—contribute to generating outcomes that improve IT management performance in FinTech organizations.</span></p> https://journaldtai.com/index.php/jdtai/article/download/211/189