Developing a Model for Improving Financial Decision-Making through FinTech Adoption in Iranian Private Banks
Keywords:
Private banks, improving financial decisions, financial decisions, fintechAbstract
This study aims to design and conceptualize a model for improving financial decision-making in Iranian private banks by leveraging FinTech capabilities based on expert insights. This research adopts a qualitative exploratory design using semi-structured interviews with 17 theoretical and practical experts from Iranian private banks. Data were analyzed through thematic analysis using MAXQDA software. The analytical process followed six systematic stages, including familiarization with data, open coding, theme development, review, definition, and model construction, with theoretical saturation guiding sample adequacy. The findings reveal five core themes—digital transformation in banking services, enhancement of trust and data security, digital investor behavior analysis, data-driven decision-making, and development of digital financial human capital—comprising fifteen sub-themes. The inferred relationships indicate that FinTech enhances financial decision quality by enabling advanced analytics, mitigating behavioral biases, and increasing transparency and reliability of financial information. The proposed model demonstrates that effective financial decision-making improvement in private banks requires an integrated approach combining technological infrastructure, data security, behavioral insights, and human capital development. This framework provides a strategic guide for banks seeking to strengthen decision-making quality and resilience in a digitally evolving financial environment.
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Copyright (c) 2025 Samira Doosti Goofeli (Author); Hoda Hemmati (Corresponding author); Davoud Hemmati, Mehdi Fathabadi4 (Author)

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