Survey analysis reveals knowledge-based companies significantly enhance productivity and economic performance in military organizations, suggesting strategic partnerships are crucial.
The primary aim of this study was to examine and analyze the impact of knowledge-based companies on advancing organizational goals, with a specific focus on organizational productivity and economic performance within military organizations, particularly the Islamic Republic of Iran Army (AJA). This study utilized a quantitative, descriptive, and survey-based methodology. The statistical population consisted of 83 academic experts, military personnel, and managers of knowledge-based companies selected through simple random sampling. Data were collected using a Likert-scale questionnaire. Content validity was confirmed by expert review, and reliability was established using Cronbach’s alpha. One-sample t-tests and the Kolmogorov–Smirnov test were employed to analyze the data and assess the significance of relationships between variables. The results revealed a statistically significant and positive impact of knowledge-based companies on four key domains: enhancement of organizational knowledge-based indicators (e.g., M=1.831 for knowledge-driven production), advancement of organizational goals (t=48.77, p<0.001), improvement in organizational and work productivity (t=47.29, p<0.001), and economic performance (t=19.70, p<0.001). Respondents strongly endorsed the role of innovation, knowledge commercialization, modern technology integration, and external collaboration in defining a knowledge-based organization. Knowledge-based companies—particularly those specializing in artificial intelligence—play a strategic role in improving decision-making frameworks, optimizing organizational processes, enhancing employee productivity, and strengthening economic outcomes. These findings underscore the necessity for strategic policymaking, capacity-building, and structured partnerships between military organizations and knowledge-based enterprises.
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Javad Eshaghi (2025) studied this question.
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