crisis management

Background and Theoretical Foundations: During natural and man-made crises and hazards, global pharmaceutical supply chains have experienced fluctuations in demand, production capacity issues, and distribution problems. The prevention and management of these challenges are crucial for maintaining public health, as the scarcity of essential medicines, vaccines, and blood products can pose severe health risks and hinder medical care. The present research aimed to develop a model of pharmaceutical cold logistics management during and facing maritime crises. Following a practical objective, this study is exploratory-descriptive in nature and benefits from a mixed methods design. Methodology: The statistical population of the research includes academic and military experts in the field of Supply Chain Management and Maritime Crisis Management. They involve 20 in the qualitative phase using purposive sampling and 120 constitute samples in the quantitative phase using convenience sampling. The qualitative phase was run through conducting semi-structured interviews, and a questionnaire was administered in the quantitative part. Data were qualitatively analyzed through thematic analysis, and a partial least squares (PLS) structural equation was run to quantitatively analyze the questionnaire. Findings and conclusion: Results showed that the drug cold logistics management during the crisis includes the main themes of the application of emerging technologies, information and communication management, pharmaceutical supply and distribution management, quality and trust management, and pharmaceutical supply chain audit. Based on the quantitative findings, the structural model of the research was approved, possessing sufficient validity according to the quality indices. Finally, the results of ranking the dimensions of the research based on the Friedman test showed that the application of emerging technologies in the management of maritime crises had the highest importance, and the pharmaceutical supply chain audit was found to be the lowest priority in the management of maritime crises.

Artificial Intelligence has is a pivotal tool in enhancing crisis management during natural disasters such as earthquakes. This article examines the role of AI in generating real-time information, predicting stakeholder and population responses, and optimizing decision-making processes. A meta-analysis of existing literature highlights AI's potential to transform traditional crisis management approaches by enabling rapid assessment of disaster scenarios, efficient resource allocation, and communication strategies tailored to situational dynamics. However, the integration of AI in such critical domains requires not only technological advancement but also a paradigm shift in the skills and competencies of crisis management professionals. This paper argues for the necessity of continuous education for stakeholders, emphasizing training in AI tools and data literacy to ensure effective utilization of these technologies in high-stakes environments. Furthermore, it explores the ethical implications of AI use in crisis contexts, including issues of accountability, data privacy, and bias mitigation. To address these challenges through sustained education and interdisciplinary collaboration, stakeholders should harness AI’s full potential while minimizing risks.

INTRODUCTION: One of the technologies that can have significant results in the field of crisis management is remote sensing, which has the ability to quickly and accurately assess floods and is considered an important and safe tool for reducing risk and responding to this hazard. METHODS: In this study, radar data was used to quickly estimate the areas affected by the flood in the Chabahar city in January 2020, and the Normalized Difference Water Index (NDWI) was used to verify the validity. FINDINGS: According to the research findings, the use of Sentinel-1 radar satellite data in critical situations such as flooding has a high potential for rapid and accurate monitoring of affected areas. Comparison of the results extracted from radar images with the NDWI based on Sentinel-2 optical images also showed that although there are differences between the two methods, a significant overlap was recorded between their results, indicating the relative validity of radar data for estimating flooded areas. CONCLUSION: Overall, it seems that the benefits of using radar images to estimate areas affected by floods are undeniable and that by optimizing the algorithms and methods used, desirable results can be achieved in line with the desired goal.

INTRODUCTION: Given the key role of the media in changing the attitudes and behavior of audiences, this study focuses on the impact of Iran's national media in strengthening or weakening public trust. Ineffective information dissemination in crises can lead to the spread of rumors and reduced collective participation. The aim of this research is to provide a scientific and practical framework and strategies for promoting media persuasion in crisis situations and its management with an emphasis on the Corona pandemic. METHODS: This applied research was conducted with a mixed approach. In the qualitative part, data were collected through semi-structured interviews with 20 national media experts and managers and analyzed using data-based theory in three coding stages (open, axial, and selective). In the quantitative part, the extracted components were used as the basis for designing a specialized questionnaire based on the AHP technique, which was distributed among 400 media experts and analyzed with Expert Choice software. The validity of the tools was confirmed by experts and the reliability was confirmed with Cronbach's alpha of 0.87. FINDINGS: Data analysis showed that the most effective media persuasion strategies in the Corona crisis are: transparency and honesty of information (0.23), use of trusted experts (0.19), production of targeted content (0.17), two-way interaction with audiences (0.15), institutional cohesion (0.13), and use of new technologies (0.13). These components explain a total of 78% of the variance in public trust. CONCLUSION: The results indicate that effective persuasion in health crises requires a multidimensional approach that simultaneously pays attention to content, structural, and communication dimensions. The model proposed in this study can be a basis for designing national media strategies in future crises and systematic implementation of these strategies can increase the effectiveness of persuasion by up to 70%.