http://www.edrkp.ir/ Journal of Emerging Defense Knowledge & Research Policy en daily 1 Mon, 21 Apr 2025 00:00:00 +0330 Mon, 21 Apr 2025 00:00:00 +0330 http://www.edrkp.ir/article_220897.html Abstract Background & Purpose: Wikis, as powerful tools for collaboration and knowledge sharing, are widely used in organizations. However, traditional wikis face challenges such as lack of structure, difficulty in information retrieval, low content quality, poor scalability, lack of transparency, and decreased user participation. This research investigates these challenges and proposes innovative solutions based on emerging technologies.Methodology: A systematic approach is used to analyze previous studies and categorize the challenges of traditional wikis in three areas: technical, managerial, and social.Findings: The capabilities of artificial intelligence and blockchain in overcoming these challenges are examined, including automatic content organization, facilitating information retrieval, improving content quality, increasing user participation, and creating transparency and trust.Conclusion: Intelligent wikis, by leveraging new technologies, can effectively address the challenges of traditional wikis and improve the efficiency and effectiveness of knowledge management and collaboration in organizations. This research provides a comprehensive framework to help organizations achieve more effective knowledge management and collaboration through utilizing intelligent wikis and being at the forefront in today's competitive world. http://www.edrkp.ir/article_176681.html Purpose: The entry of cognitive science (CS) in different aspects of society, has faced governments, with new and disruptive challenges. Therefore, unknown spaces of the short-term future innovations and weak signals of coming changes puts a vague perspective in front of policy makers. The purpose of this research is to discover new and emerging eras of the CS in a 10-year horizon.Research method: This research is a qualitative-exploratory research that uses a mixed multi-method approach. Watching method as a meta-method, documentary and library method, and open interviews with experts, open source scanning technique, were used to identify trends, technologies, and emerging fields of CS. Also, the expert panel method with the presence of 6 experts was held to approve internal validity of findings.Findings: future technological needs and knowledge requirements of cognitive capabilities affecting the future opportunities and threats of Iran is categorized in five groups; Prediction of cognitive behavior and related risk analysis, prevention and cognitive monitoring, diagnostic and therapeutic intervention, rehabilitation and rehabilitation with cognitive tools and human cognitive enhancement.Conclusion: The future perspective of "cognitive war with soft and hard cognitive tools and approaches" can be interpreted with the metaphor of "cognitive battle scene". The technologies, products and knowledge based capabilities of cognitive sciences have passed the weak signals (WS) of technology phases and have reached to developed capabilities at the Strong Signals and alarming Level. Cognitive technologies and products have become a basket of technologies that will create wealth and power to the owners. http://www.edrkp.ir/article_177237.html Background and purpose: Despite the development of technology and equipment in today's organizations, the role of humans as a vital factor in the survival of the organization is still fully evident. Therefore, organizations should devote most of their capital and time to developing and empowering their human resources. In this regard, the aim of this research was to formulate and present a local model of empowering knowledge managers of the Islamic Republic of Iran Army.Methodology: This article is based on the inductive research approach, based on the applied purpose, based on the type of mixed data, and was done using the Delphi technique. The statistical population included the number of 20 organizational experts who were selected in a purposeful and judgmental way according to the required experience and expertise. Interviews with experts continued until theoretical saturation and repetition of data. The main tool of data collection in this research was library sources and field data (semi-structured interview).Findings: The findings of the research showed that the indigenous model of empowering AJA managers has two organizational and individual dimensions. Organizational dimension includes 4 components of organizational management, organizational culture, organizational goals, organizational structure and individual dimension includes 3 components of personal skills, communication skills component, organizational skills component and a total of 58 indicators.Conclusion: The implementation of the local model of empowerment (compiled in this research) can have an effective role in empowering the knowledge managers of the Islamic Republic of Iran Army. http://www.edrkp.ir/article_195674.html This article, with the aim of understanding the crisis in the organization, tries to answer the question, what are organizational crises and what is the solution to control them? Analyze the issue and extract the indicators affecting the crisis and its control. In this research, first, in order to identify and count the crisis-prone points of the organization, the library method was used, and then, by using a 28-question questionnaire and a meaningful survey method, the effect of the influencing indicators on organizational crises among 60 managers and experts who at least More than 20 years of service in managerial positions were investigated. The results of the investigations indicate that the organizational crisis is manifested in four basic axes, including the culture, structure, resources and operational process of the organization, and the way out of it is the proper and desirable performance and planning of the organizational managers, taking into account the internal and external environment and knowing the roots Crisis and the use of competent managers with knowledge and experience. Also, the results showed that the components of operational process, structure, culture and finally resources were effective in dealing with organizational crises. http://www.edrkp.ir/article_216425.html Forecasting changes in military technologies has important implications for determining future battlefields, tactics, operations, and the management of defense research and development investments. In the 1990s, after the collapse of the Soviet Union, predictions were made about the emergence of defense technologies and the development of future weapons by 2020. These projections cover a variety of systems, from unmanned systems, artillery, missiles, to electronic weapons. In this paper, a quantitative and qualitative evaluation of the accuracy of this category of predictions (mainly in the field of ground combat technologies) has been performed. The overall accuracy has been evaluated as very high and about 0.76 due to the use of several criteria. The major differences in accuracy are often between forecasting information acquisition and processing technologies and technologies aimed at physical impact. The evaluations are based on information available in open sources, which is almost not recognized by experts as a limiting factor in the evaluation process. http://www.edrkp.ir/article_226119.html Background & Purpose: Behavioral traps are actually operational traps that pilots may fall into as a result of poor decision making. The purpose of this study is to prioritize the effective behavioral traps in the occurrence of accidents in the last three decades of one of the country's aviation organizations and also to study the probability and severity of the consequences of being caught in these behavioral traps in the field of multi-crew aircraft among pilots. In order to reduce the accident rate and increase the level of safety.Methodology: This research is quantitative and descriptive. Data collection was done in two ways: library and field, which was collected by designing a researcher-made questionnaire and distributing it among the statistical population.Findings: The probability of being caught in the behavioral trap of peer pressure is above average and in the other eleven cases are below average. severity of the consequences of being caught in all twelve behavioral traps was high.Conclusion: The probability of being caught in the behavioral traps of peer pressure, scuad running and Mindset is ranked first to third, respectively, The severity of the consequences of being caught in the behavioral traps of Operating without Adequate fuel reserve; Descent below the minimum Enroute altitude and Duck-Under Syndrome are the first to third priorities, respectively. The results obtained from library data, behavioral traps of Neglecting of flight planning, pre-flight inspection and checking checklist; Loss of positional / situational awareness and peer pressure are the top three priorities, respectively. http://www.edrkp.ir/article_232543.html Scientific and technological transformations in the twentieth and twenty-first centuries have profoundly reshaped the structure of states’ air power. Emerging technologies—including unmanned aerial vehicles (UAVs), artificial intelligence (AI), network-centric operations, quantum systems, and cyber warfare—constitute the core of these shifts, playing a decisive role in enhancing deterrence and operational capability of air forces. This study aims to analyze the technological trends shaping the future of air power and to propose developmental strategies for the Air Force of the Islamic Republic of Iran. Employing an applied and integrative approach, the research utilizes qualitative analysis, futures studies, SWOT analysis, and scenario planning, alongside library-based data and semi-structured interviews with experts. The findings reveal that the IRIAF possesses significant potential in developing indigenous UAV infrastructure, AI applications, and technological cooperation with allied states; however, it faces challenges such as shortages of specialized human resources, financial constraints, and a lack of coherent organizational structures. The study underscores the necessity of targeted investment in emerging technologies, strengthening technology-oriented human capital training, expanding international cooperation, and employing digital simulations to anticipate future threats. The proposed framework can serve as a valuable guide for defense policymakers to steer the IRIAF’s air power toward technological transformation and sustainable national security through smart, data-driven policies. http://www.edrkp.ir/article_238045.html Background and purpose: The need to use knowledge management in the armed forces of the Islamic Republic of Iran due to the change of the Effendi doctrine and the defense of the world's military powers is an issue that should be addressed scientifically as soon as possible, because in this matter it will stop irreparable blows to the future of defense. The country will hit. This issue requires the creation of the necessary infrastructure to expand knowledge management as an accelerator in the country's defense doctrine. Methodology: From the point of view of the purpose, this research is applied-developmental and in terms of the way of collecting information, it is a descriptive survey type. By reviewing the literature, the first research questionnaire was designed in the form of 20 factors (4 dimensions and 16 components) and due to the limited statistical population, the sampling method in this research was purposeful and the snowball technique was used. http://www.edrkp.ir/article_243243.html Abstract Background and Objective: Aviation accidents typically result from complex interactions among technical, human, organizational, and environmental factors, and their accurate analysis requires the application of appropriate analytical models. In recent decades, various approaches have been developed for aviation accident analysis, each with its own strengths and limitations. The objective of this study is to systematically review and compare different aviation accident analysis models and to identify the most effective approaches for analyzing different types of accidents. Methodology: This study is a review–analytical research employing a systematic comparative approach. In this research, the major models used in aviation accident analysis,including traditional models (such as Fault Tree Analysis and chain of events approaches), systemic models (such as the Swiss Cheese Model), human factors based models (including the SHELL and HFACS models), and data driven models (such as machine learning–based approaches) were examined. Data were collected through a review of scientific literature, research articles, and reports published by reputable aviation organizations. The models were then compared based on a set of predefined analytical criteria, including analytical accuracy, ease of application, practicality, and the capability to identify and analyze human and organizational factors. Findings: The results indicate that systemic models, particularly the Swiss Cheese Model, are more effective for analyzing complex and multi causal aviation accidents, as they allow the examination of interactions among multiple layers of safety defenses within a system. In contrast, traditional models such as Fault Tree Analysis are more suitable for identifying root causes in relatively simpler accident scenarios.