طراحی الگوی جامع هوشمندی سازمان با تمرکز بر سازمان بیمه مرکزی جمهوری اسلامی

Introduction
Organizational intelligence has emerged as one of the most critical capabilities of modern organizations, playing a decisive role in enhancing decision-making quality, improving adaptability to environmental changes, increasing organizational performance, and creating sustainable competitive advantage. In today’s dynamic environment, organizations are confronted with rapid technological developments, increasing complexity, growing volumes of data, and high levels of uncertainty. Under such circumstances, the effective utilization of organizational intelligence has become an essential prerequisite for organizational survival and success. The insurance industry, as one of the fundamental pillars of the national economic system, is not immune to these transformations. The Central Insurance of the Islamic Republic of Iran, as the regulatory and supervisory authority of the insurance sector, requires a high level of organizational intelligence to effectively govern, regulate, and guide the industry.
A review of the literature indicates that numerous studies have investigated organizational intelligence, business intelligence, knowledge management, organizational learning, and digital transformation. However, most of these studies have focused on commercial organizations and have failed to provide a comprehensive framework specifically tailored to governmental and regulatory institutions. Furthermore, previous research has generally examined isolated dimensions of organizational intelligence without addressing the systematic interrelationships among strategic, technological, human, cultural, and governance-related dimensions. Consequently, a significant theoretical and practical gap exists regarding the development of a comprehensive and indigenous organizational intelligence model for the Central Insurance organization.
Accordingly, the primary objective of this study is to identify the dimensions, components, and indicators of an organizational intelligence model for the Central Insurance of the Islamic Republic of Iran. The research seeks to answer the following question: What are the key dimensions and components of a comprehensive organizational intelligence model for the Central Insurance organization, and how can such a model contribute to enhanced performance, efficiency, innovation, and governance within the insurance industry?
 
Methodology
This study is developmental in terms of purpose and qualitative in terms of methodological approach. Given the complexity and multidimensional nature of organizational intelligence, a qualitative research design was adopted to gain an in-depth understanding of the phenomenon and its underlying dimensions. The participants consisted of academic experts and senior managers possessing extensive expertise in public administration and the insurance sector.
Purposive sampling was employed, and data collection continued until theoretical saturation was achieved. Semi-structured interviews were conducted with twenty experts. The collected data were transcribed and analyzed using thematic analysis based on the framework proposed by Attride-Stirling and the analytical procedures developed by Braun and Clarke. The analysis process involved the identification of initial codes, basic themes, organizing themes, and overarching themes.
To ensure reliability, inter-coder agreement was assessed using Cohen’s Kappa coefficient, yielding a value of 0.75, which indicates acceptable reliability. To establish validity, the extracted findings were reviewed by a panel of academic experts, and necessary modifications were made based on their feedback and recommendations.
 
Findings
The thematic analysis of the interview data resulted in the identification of 86 initial codes, 17 basic themes, 6 organizing themes, and one overarching theme entitled “Organizational Intelligence Model of the Central Insurance Organization.” The findings revealed that organizational intelligence within the Central Insurance organization comprises multiple interconnected dimensions that collectively form an integrated and dynamic system.
The first dimension, Strategic Intelligence, consists of intelligent environmental scanning and data-driven strategic decision-making. This dimension encompasses macro-environmental monitoring, analysis of insurance industry trends, identification of opportunities and threats, future scenario forecasting, and the use of data analytics in strategic decision-making processes.
The second dimension, Smart Technological Infrastructure, includes integrated information systems and advanced analytical technologies. Key indicators of this dimension include data integration, information security, data governance, artificial intelligence, machine learning, big data analytics, and process automation.
The third dimension, Intelligent Human Capital and Organizational Culture, emphasizes the development of data literacy, systems thinking, continuous learning, analytical creativity, knowledge-sharing culture, organizational trust, adaptability to change, and innovation orientation.
The fourth dimension, Knowledge Management and Organizational Learning, comprises knowledge creation and sharing, documentation of organizational experiences, knowledge repositories, digital learning, future-oriented skill development, and innovative learning mechanisms.
The fifth dimension, Smart Organizational Processes and Intelligent Insurance Governance, incorporates service automation, digital risk assessment, risk-based supervision, insurance fraud detection, evidence-based policymaking, and insurance foresight practices.
Finally, the sixth dimension, Value Creation and Macro-Level Outcomes of Organizational Intelligence, encompasses outcomes such as enhanced productivity, cost reduction, improved service quality, innovation development, institutional transparency, public trust enhancement, sustainable development of the insurance industry, and strengthened economic resilience.
 
Overall, the findings demonstrate that the realization of organizational intelligence requires the simultaneous integration of human, technological, knowledge-based, managerial, and governance-related capabilities.
 
Discussion and Conclusion
The findings indicate that organizational intelligence within the Central Insurance organization is a multidimensional and systemic phenomenon shaped by the interaction of strategic, technological, human, cultural, knowledge-based, and governance dimensions. Unlike traditional perspectives that primarily associate organizational intelligence with information technology or business intelligence systems, the results of this study demonstrate that successful implementation of organizational intelligence requires the concurrent development of technological infrastructure, human capital, learning culture, and data-driven decision-making systems.
The proposed model provides a practical framework for policymakers and managers in the insurance sector to enhance decision-making quality, improve regulatory effectiveness, foster innovation, and increase organizational efficiency. Furthermore, the model contributes to the realization of intelligent governance, greater transparency, stronger public trust, and sustainable development within the insurance industry.
Future research is recommended to quantitatively validate the proposed model and examine the causal relationships among its dimensions through advanced methodologies such as Structural Equation Modeling (SEM) and Interpretive Structural Modeling (ISM).