Designing a Financial Risk Reduction Model for Investors in Knowledge-Based Industries Using a Mixed-Methods Approach
Keywords:
Financial risk reduction, Knowledge-based industries, Investors, Risk management, Mixed methodsAbstract
This study aims to design and explain an indigenous model for reducing financial risks faced by investors in knowledge-based industries using a mixed-methods approach. This applied research employed an exploratory–descriptive mixed-methods design. In the qualitative phase, semi-structured interviews were conducted with 18 experts from knowledge-based companies and financial institutions, and data were analyzed using grounded theory. In the quantitative phase, the statistical population consisted of 1,400 senior and middle managers of auditing institutions in Tehran Province, from which 302 participants were selected through stratified random sampling. Data were analyzed using exploratory and confirmatory factor analysis and structural equation modeling in SPSS 21 and LISREL 8.5. Inferential results indicated that the final model comprises four main dimensions: causal conditions, contextual conditions, intervening factors, and outcomes, including 11 key components. The results confirmed significant relationships among model dimensions and strong overall model fit. Structural adequacy, investment diversification, empowerment of knowledge-based firms, and increased owners’ trust showed the highest explanatory power. The proposed model provides a practical and comprehensive framework for enhancing investment security, reducing financial uncertainty, and improving sustainable profitability in knowledge-based industries, offering valuable implications for policymakers, managers, and investors.
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Copyright (c) 2025 Mehdi babadishoorab; Zahra Moradi, Zohreh Hajiha (Author)
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