Response Capability Research Articles

EXPRESS: Impact of Unreliable Supplier on a Supply Chain with Demand-Generating Marketing

A firm often has multiple sourcing options for its product. Some suppliers may have longer lead times but offer lower prices, whereas reliable suppliers with quick response capabilities may have higher prices. Purchasing from a cheaper, less reliable supplier can help a firm lower its inventory cost but will expose itself to potential risks. This paper analyzes a supply chain in which a manufacturer can source from a cheaper, less reliable supplier with a long lead time and/or a reliable quick-response supplier. The manufacturer also has to make demand-generating marketing investments before the selling season. Our analysis shows that if the unreliable supplier’s reliability is low, the reliable supplier will charge a low wholesale price; otherwise, it will choose a high wholesale price. As the unreliable supplier’s reliability improves, the manufacturer is inclined to increase its marketing investment, but there is a drop at some critical threshold. Interestingly, the existence of an unreliable supplier can lead to a win-win outcome for the reliable supplier and the manufacturer. The unreliable supplier’s reliability has non-monotonic effects on the equilibrium profits of the reliable supplier and the manufacturer.

Assessing the Moisture Resilience of Wood Frame Wall Assemblies

Resilience has been used as a building performance metric that measures the building’s capability of absorption, response, and recovery from one or a series of disruptive events, e.g., extreme weather events or power outage events. With respect to resilience, in relation to the moisture performance of the building envelope (moisture resilience), this aspect has not yet been thoroughly explored nor defined. Given the expected increase in annual precipitation in certain regions of Canada as induced by climate change effects occurring both currently and in the future, the moisture resilience of building envelops will require immediate attention given that wall assemblies of buildings are predicted to be subjected to excessive moisture loads in the coming years. In this study, the moisture resilience of wood frame wall assemblies to mould growth was described from three aspects: (i) absorption—the ability of the wall to maintain a low level of relative humidity on the OSB; (ii) response—the fluctuation of the relative humidity on the OSB; and (iii) recovery—the rate at which the relative humidity recovers to an acceptable level. The metrics used to demonstrate the relative impact of these factors on moisture performance were also developed. The results have revealed a robust correlation between moisture performance and the relative influence of various newly defined aspects of moisture resilience.

Applied Research on the Impact of Big Data, Cloud Computing and Cloud Storage on Smart Manufacturing Supply Chain

The rapid advancements in big data, cloud computing, and cloud storage technologies are profoundly reshaping the operational models of smart manufacturing supply chains. The integration and application of these technologies not only drive the enhanced data collection and analysis capabilities across various supply chain segments but also significantly improve the accuracy of demand forecasting, the rationality of resource allocation, and the scientific nature of decision support. Consequently, the collaborative efficiency and dynamic response capabilities of supply chains have been substantially elevated, providing robust technological backing for enterprises in navigating the intricately volatile market environment. Nonetheless, while reaping the benefits of these technological advancements, challenges such as data security and privacy protection, system integration, and technical selection cannot be overlooked. By judiciously selecting technology platforms, reinforcing data security management, and continuously investing in technological advancements and talent cultivation, the holistic effectiveness of smart manufacturing supply chains will be further optimized.

Polydopamine-modified MXene-integrated photothermal responsive hydrogel for constructing rapid photothermal and self-sensing gradi- ent hydrogel actuators

Abstract PNIPAm-based stimuli-responsive hydrogel actuators have made significant progress. By introducing responsive modules such as photothermal nanoparticles, the hydrogel can respond to environmental changes and construct anisotropic structures, allowing the hydrogel actuators to quickly bend and realize complex shape deformation. How-ever, there remains a need to enhance the mechanical properties of these hydrogels to accommodate multiple deformation actions and different application scenarios, and enhance the compatibility between nanoparticles and the hydrogels to improve the comprehensive performance of materials are still issues that need to be solved. In this study, we modified two-dimensional MXene nanosheets with polydopamine (PDA) to obtain P-MXene, which served as a photothermal agent and can be stably dispersed within the hydrogel system. We copolymerized thermosensitive N-isopropylacrylamide (NIPAm) and 2-(dimethylamino)ethyl methacrylate (DMAEMA) in situ and used a direct current (DC) electric field to induce a concentration gradient distribution of P-MXene nanosheets within the hydrogel, resulting in the preparation of anisotropic gradient hydrogel actuators with good stretchability and conductivity. The hydrogel structure was characterized using scanning electron microscopy (SEM) and the Fourier transform infrared (FTIR) spectra. The swelling properties, mechani-cal properties and conductivity of the hydrogel were studied. The actuation behavior of P(NIPAm-DMAEMA)/P-MXene gradient hydrogel actuators under different thickness and electric field intensity was investigated. Additionally, the sensitivity and stability of the conductive hydrogel actuators were tested. and the functions of monitoring human health and information transmission were realized. It integrated with rapid photo responsiveness and self-sensing capabilities to monitor the defor-mation process of the actuators through real-time relative resistance changes during the actuations. This work is expected to expand the application field of soft hydrogel actuators and provide new insights into the design of a new generation of soft robots.

The Impact of Digital Transformation on Service Models and Employee Skill Requirements in Taiwan's Real Estate Brokerage Industry

This paper investigates how digital transformation impacts service delivery models and employee skill requirements in Taiwan's real estate brokerage industry. Through a multiple-case comparison approach, data was collected from 200 participants across real estate firms to examine organizational adaptation to technological change. The research employed structural equation modeling and hierarchical linear modeling to analyze relationships between compensation satisfaction (β = 0.45, p < 0.001), digital competency levels, and internal case circulation patterns. Results demonstrate that digital technologies significantly reshape brokerage operations, with digitalized companies achieving 32% higher client acquisition rates and 45% reduction in transaction processing time. Analysis reveals that employee digital literacy accounts for 28% of performance variance, while organizational support systems explain 23% of technology adoption rates. The findings extend service innovation literature by establishing empirical links between compensation systems and digital transformation success, providing a practical framework for technology integration in Taiwan's real estate sector. This research offers evidence-based recommendations for firms implementing digitalization strategies and developing employee capabilities in response to industry evolution.

Understanding seismic hazard resilience in Montenegro: A qualitative analysis of community preparedness and response capabilities

Abstract Enhancing resilience against seismic hazards in earthquake-prone regions is essential for reducing the devastating impacts of disasters. Seismic resilience refers to a community’s ability to withstand and recover from earthquake impacts, while preparedness gaps are the areas where current measures are insufficient to effectively respond to or mitigate earthquake damage. This study focuses on Montenegro – a region with frequent seismic activity – aiming to assess resilience levels, identify critical gaps in preparedness, and evaluate the effectiveness of existing response strategies. Using qualitative methods, including semi-structured interviews, the research gathered insights from residents of Montenegro’s most vulnerable cities: Nikšić, Podgorica, Bar, Kotor, Cetinje, Budva, Herceg Novi, and Berane. Participants, chosen for their first-hand experience with significant earthquake impacts, provided valuable perspectives on various aspects of resilience, from local government response to individual preparedness. This research revealed significant disparities in resilience across communities: for instance, approximately 62.5% of the respondents highlighted inadequate education as a barrier to effective earthquake preparedness, and only 37.5% reported awareness of basic earthquake response procedures. Furthermore, while some communities, such as urban areas with accessible services, reported higher preparedness levels, rural areas showed deficiencies, with 50% of the respondents from these areas identifying a lack of organized drills and limited public awareness initiatives. These findings underscore the urgent need for community-specific preparedness programs and enhancements in both structural resilience and public education to bolster community readiness effectively. Also, findings highlight the need for customized preparedness programs tailored to specific community needs, alongside improvements in structural safety measures and educational outreach. The study underscores the importance of a comprehensive approach involving detailed risk assessments, community-focused preparedness training, and stronger public awareness initiatives. Furthermore, the study calls for enhanced local government capabilities to sustain proactive response measures, including rapid mobilization of emergency resources and regular disaster simulations, to build long-term resilience across communities.

Drought disaster risk assessment and yield insurance pricing of maize: a case study of Liaoning Province, China

Starting from the ‘four-factors’ theory of natural disaster risk formation, the study first selects indices that represent hazard, vulnerability, exposure, and emergency response and recovery capability to construct the drought risk assessment index system. Then the natural disaster risk index method is employed to evaluate the risk of maize drought disasters in Liaoning. Finally, the pure premium rate for maize yield insurance is determined based on the risk assessment results and the Copula function. The results show that: (1) The hazard, vulnerability, and exposure index in northwestern Liaoning are high, while emergency response and recovery capability is relatively low. Therefore, northwestern Liaoning is identified as a high-risk area for drought risk. (2) There exists a negative correlation between the drought risk index and maize yield in most areas of Liaoning; that is, higher drought risk is associated with lower maize yield. (3) Under the same coverage level, pure rates are higher in the northwestern and eastern Liaoning and relatively lower in the southwestern and southeastern Liaoning. Under different coverage levels, higher coverage corresponds to increased pure rates. The results can offer valuable guidance and benchmarks for relevant departments in Liaoning Province to assess the impact of drought risk on agriculture.

Enhanced Short-Term Temperature Prediction of Seasonally Frozen Soil Subgrades Using the NARX Neural Network

Accurate prediction of subgrade temperatures in seasonally frozen regions is crucial for understanding thermal states, frost heave phenomena, stability, and other critical characteristics. This study employs a nonlinear autoregressive with exogenous input (NARX) network to predict short-term subgrade temperatures in the Golmud-Nagqu section of China’s National Highway 109. The methodology involves preprocessing subgrade monitoring data, including temperature, water content, and frost heave, followed by developing a temperature prediction model. This tailored NARX neural network, compared to the traditional BP neural network, integrates feedback and delay mechanisms for monitoring data, offering superior memory and dynamic response capabilities. The precision of the NARX model is assessed with the backpropagation (BP) network, indicating that the NARX neural network significantly outperforms the BP model in both precision and stability for temperature prediction in seasonally frozen subgrades. These findings suggest that the NARX model is a valuable tool for accurately predicting subgrade temperatures in seasonally frozen regions, offering significant insights for practical engineering applications.

Research on the Application Framework of Generative AI in Emergency Response Decision Support Systems for Emergencies

With the rapid development of artificial intelligence technology, generative AI has shown broad application prospects and potential in various fields. Frequent emergencies have put forward higher requirements for traditional Emergency Response Decision Support Systems (ERDSS). This paper proposes a theoretical framework of ERDSS based on generative AI (ERDSS-GAI), which deeply integrates generative AI with three stages of emergency response decision-making. The framework aims to leverage the advantages of generative AI in massive data processing, knowledge mining, strategy optimization, and other aspects, thereby enhancing the intelligence level and emergency response capability of ERDSS. The key components and implementation path of ERDSS-GAI are systematically explained from a theoretical perspective, and its application value is analyzed through the case of rainstorm and flood disaster in Shenzhen. This research demonstrates that generative AI can improve the scientific and refined level of emergency response decision-making, providing a theoretical framework and practical insights for its widespread adoption in emergency management.

A functional dual responsive CMC/OHA/SA/TOB hydrogel as wound dressing to enhance wound healing.

Within the clinical realm, the complexities of wound healing have consistently presented formidable challenges. Recent advancements, notably in hydrogel technologies, have broadened the therapeutic spectrum. This study focuses on investigating a novel dual responsive composite hydrogel for wound healing. This hydrogel is ingeniously designed to maintain an optimal moist environment, expedite healing, and combat bacterial infection during wound recovery. This study combining carboxymethyl chitosan (CMC), oxidized hyaluronic acid (OHA), and sodium alginate (SA), in addition, tobramycin (TOB) was incorporated to create a CMC/OHA/SA/TOB hydrogel. Hydrogel cross-linking was verified by infrared spectroscopy, and the microstructure was examined with scanning electron microscopy. We explored its swelling and degradation behaviors in different pH environments. The drug release profile and biocompatibility was evaluated via cytotoxicity and hemolysis assays. The antibacterial efficacy of hydrogel was tested in both solid and liquid media. Additionally, the wound models in Sprague-Dawley (SD) rat was employed to investigate the hydrogel's wound healing capabilities in vivo. Results showed that CMCOHA/SA/TOB hydrogel was effectively cross-linked with a network structure. The hydrogel exhibited pronounced responsiveness in its swelling and degradation characteristics, which was significantly influenced by different levels of pH. In vitro results demonstrated that the CMC/OHA/SA/TOB hydrogel exhibits limited cytotoxicity and hemolysis, coupled with a drug release profile of dual responsive characteristics. Antibacterial activity of the hydrogel against Staphylococcus aureus, Pseudomonas aeruginosa, and Escherichia coli was confirmed. Furthermore, in vivo experiments underscored the hydrogel's proficiency in promoting wound healing, highlighting its potential for clinical applications. The CMC/OHA/SA/TOB hydrogel not only fosters a moist environment essential for wound healing and enhances structural stability, but it also exhibits functional dual responsive capabilities in swelling and degradation. These distinctive abilities enable the precise release of TOB, thereby optimizing wound healing.

The impact of regional emergency logistics response capacity on sustainable economic growth in China

To assess the impact of China’s regional emergency logistics response capabilities on economic growth sustainability, this study develops a set of comprehensive indicators. It applies the entropy weight method combined with the TOPSIS method to evaluate these capabilities across regions. Based on panel data from 30 provinces in China from 2012 to 2021, this study employs panel models, panel quantile regression, and panel threshold models to analyze the impact of emergency logistics response capability on sustainable economic growth. By measuring the regional emergency logistics response capability and examining its effects on the sustainability of economic growth, this research provides foreign investors with a clearer understanding of the ability of different regions in China to handle unexpected public incidents. This, in turn, helps reduce investment uncertainty, mitigate certain risks, and offers valuable insights for enhancing the efficiency of international investments in China. Key findings are: (1) Since 2018, the establishment of the Ministry of Emergency Management has significantly improved China’s regional emergency logistics capabilities, with the eastern region outperforming the central and western regions. (2) Enhancing China’s emergency logistics response capability helps improve the sustainability level of economic growth. This reflects how China’s emergency management departments can mitigate the adverse impacts of public emergencies on economic growth by transforming social logistics into emergency logistics. (3) As emergency response capabilities have strengthened, their impact on economic sustainability initially decreased but later increased.

Leather-Based Shoe Soles for Real-Time Gait Recognition and Automatic Remote Assistance Using Machine Learning.

Real-time monitoring of gait characteristics is crucial for applications in health monitoring, patient rehabilitation feedback, and telemedicine. However, the effective and stable acquisition and automatic analysis of gait information remain significant challenges. In this study, we present a flexible sensor based on a carbon nanotube/graphene composite conductive leather (CGL), which uses collagen fiber with a three-dimensional network structure as the flexible substrate. The CGL-based sensor demonstrates a high dynamic range, with notable pressure responses ranging from 0.6 to 14.5 kPa and high sensitivity (S = 0.2465 kPa-1). We further developed a device incorporating the CGL-based sensor to collect foot characteristic signals from human motion and designed smart sports shoes to facilitate effective human-computer interaction. Machine learning was employed to collect and process gait characteristic information in various states, including standing, sitting, walking, and falling. For real-time monitoring of falls, we optimized the K-Nearest Time Series Classifier (KNTC) algorithm, achieving an accuracy of 0.99 and a prediction time of only 13 ms, which highlights the system's excellent intelligent response capabilities. The system maintained a gait recognition accuracy of 90% across diverse populations, with low false-positive (3.3%) and false-negative (3.3%) rates. This work demonstrates stable gait recognition capabilities and provides valuable methods and insights for plantar behavior monitoring and data analysis, contributing to the development of advanced real-time gait monitoring systems.

Pitch angle and altitude control for unmanned helicopter based on new approximation-free control.

This article introduces an enhanced non-approximated control technique for the pitch and altitude control systems of unmanned helicopters. It takes into account unpredictable external disturbances and system dynamics. The integration of prescribed performance control into unmanned helicopter systems significantly improves the transient and steady-state response capabilities. This approach avoids the computational complexities often associated with neural networks and fuzzy control methods. By avoiding the need for function approximation, which can introduce inaccuracies and computational overhead, the controller design process is streamlined. This method's simplicity and ability to handle unknown disturbances make it highly suitable for real-world implementation, where robustness and efficiency are paramount. Finally, simulations are conducted to showcase the improved transient and steady-state response capabilities achieved by the proposed approach.

Policy Improvement for Local Governments by Analyzing Demands for Safe Environments by Vulnerable Groups: Focusing on Daejeon Metropolitan City

This study highlights the importance of improving safety environments for vulnerable groups, especially individuals with disabilities, in the face of the disasters and accidents that frequently occur in modern society. People with disabilities are more likely to suffer greater harm due to physical and environmental limitations during disasters, necessitating systematic response measures. This study proposes practical and tailored support measures to improve safety environments for vulnerable groups. To this end, a survey and in-depth interviews were conducted, focusing on disabled individuals, the elderly, and children in Daejeon, to analyze their perceptions and needs regarding safety environments. The research findings show that individuals with disabilities have a high level of fear of disasters and safety accidents, and their ability to respond in emergency situations is very low. Elderly people experience difficulty responding during emergencies due to social isolation and limited access to information, whereas children lack awareness of risks, making it challenging for them to respond appropriately when accidents occur. Based on these findings, this study emphasizes the need for tailored educational programs, expanded safety infrastructure, and the development of IoT-based support systems to provide comprehensive measures for vulnerable groups. In conclusion, this study proposes tailored policies and support measures that consider the characteristics of vulnerable groups. By doing so, it is intended to strengthen the disaster response capabilities of vulnerable groups, including individuals with disabilities and the elderly, and contribute to creating a safer social environment.

예비유아교사의 현장실습을 통한 변혁적 역량 탐구

Objectives The purposes of this study were seek to explore the transformative capabilities of prospective early childhood teachers through early childhood education field practice experiences. Methods The study was conducted using qualitative research methods, and the participants were 15 pre-service early childhood teachers from K University in Gyeonggi-do. Data were collected through play observation records and reflection sheets in 3-, 4-, and 5-year-old classes, and the collected data was divided into high and low categories based on the extracted key keywords and qualitatively analyzed to derive results. Results The transformative competencies of prospective early childhood teachers through field practice were, first, respecting children with a loving heart and attitude as a basic competency, discovering personality and aptitude as an early childhood teacher, and establishing a teaching perspective with expectations of becoming an early childhood teachers. Second, the ability to understand the field was found to be overcoming fear and tension by understanding the field and learners, understanding the teacher's role by integrating knowledge and technology, and acquiring practical knowledge through decision-making in dilemma situations. Third, future response capabilities included practicing adaptability and flexibility according to change, establishing sensitivity to various perspectives through a sense of community, and utilizing information technology by incorporating ideas. Conclusions In order to improve the transformative capabilities of prospective early childhood teachers, the need for a practical program that allows students to experience learning through educational service experience and subject matter connection linked to daycare centers and kindergartens was discussed.

Incident response: A structured model from detection to containment and recovery

As cyber-attacks evolve in sophistication; organizations are under constant threat. This necessitates a cohesive approach to prioritize incident response (IR) capabilities and mitigate potential damages. This research paper explores integrating Information Security Management (ISM) and Incident Response (IR) functions; underlining the need for a unified strategy that leverages organizational learning theory. The study comprehensively analyzes the Incident Response Lifecycle; outlining the critical phases of preparation; detection and analysis; containment; eradication; recovery; and post-incident activities. It also investigates the crucial role and structure of Incident Response Teams (IRTs); advocating for tailored team formations that adapt to the dynamic nature of cyber incidents. By fostering collaboration between ISM and IR functions and focusing on technical and socio-technical factors; organizations can enhance their resilience against cyber threats and improve their overall security posture.

The impact of ISO security standards on enhancing cybersecurity posture in organizations

The increasing frequency and sophistication of cyber threats have made organizations need to adopt robust cybersecurity frameworks. ISO security standards, particularly the ISO/IEC 27000 series, play a critical role in enhancing organizations' cybersecurity posture worldwide. These standards provide a systematic approach to managing sensitive information, ensuring its confidentiality, integrity, and availability. ISO/IEC 27001, which focuses on establishing an Information Security Management System (ISMS), is widely recognized for its ability to help organizations identify, manage, and mitigate cybersecurity risks. By adopting ISO standards, organizations benefit from improved risk management, enhanced incident response capabilities, and stronger alignment with regulatory compliance requirements, such as GDPR and HIPAA. In addition, ISO security standards promote a security-first culture within organizations, fostering greater employee awareness and encouraging the consistent implementation of best practices across departments and regions. The adoption of standards like ISO/IEC 27001 (Information security, cybersecurity and privacy protection), ISO/IEC 27018 (Code of practice for protection of personally identifiable information (PII) in public clouds acting as PII processors), ISO/IEC 27017 (code of practice for information security controls based on ISO/IEC 27002 for Cloud services), ISO/IEC 27015 (Information security management guidelines for financial services) ISO/IEC 27002 (Information security, cybersecurity and privacy protection - Information security controls), and ISO/IEC 27701 (Security techniques- Extension to ISO/IEC 27001 and ISO/IEC 27002 for privacy information management – requirements and guidelines) has demonstrated significant improvements in data protection, especially in industries handling sensitive personal or financial data. Despite their benefits, implementing ISO standards poses challenges, such as resource constraints, scalability, and the need for continuous updates. As the threat landscape evolves, ISO security standards will remain integral to developing a proactive cybersecurity strategy, integrating with emerging technologies such as artificial intelligence and IoT. The global adoption of these standards reflects their pivotal role in securing the digital infrastructure of modern organizations.

Wastewater Surveillance of SARS-CoV-2 in Slovenia: Key Public Health Tool in Endemic Time of COVID-19

With the reclassification of COVID-19 as an endemic disease and the relaxation of measures, Slovenia needed a complementary system for monitoring SARS-CoV-2 infections. This article provides an overview of the epidemiological situation of SARS-CoV-2 in Slovenia using a wastewater surveillance system, demonstrating its usefulness as a complementary tool in epidemiological surveillance. This study found that estimated SARS-CoV-2 infections in Slovenia peaked in September 2022 and showed a declining trend with subsequent lower peaks in March–April and December 2023, mirroring the trends observed from clinical data. Based on both surveillance systems, the most prevalent variant in 2022 was BA.5. By 2023, BQ.1 and other Omicron variants increased in prevalence. By the end of 2023, XBB sublineages and the BA.2.86 variant had become predominant, demonstrating consistent dynamic shifts in variant distribution across both monitoring methods. This study found that wastewater surveillance at wastewater treatment plants in Slovenia effectively tracked SARS-CoV-2 infection trends, showing a moderate to strong correlation with clinical data and providing early indications of changes in infection trends and variant emergence. Despite limitations during periods of low virus concentration, the system proved significant in providing early warnings of infection trends and variant emergence, thus enhancing public health response capabilities.

Recent Advances in Photocatalytic Degradation of Tetracycline Antibiotics

China is a significant global producer and consumer of pesticides and antibiotics, with their excessive use leading to substantial water pollution that poses challenges for subsequent treatment. Photocatalytic degradation, leveraging renewable solar energy, presents an effective approach for decomposing organic pollutants and reducing residual contaminant levels in water bodies. This approach represents one effective way for addressing environmental challenges. This paper classifies representative photocatalytic materials by structural design and degradation principles including MOFs (Metal–Organic Frameworks), metal- and nonmetal-doped, mesoporous material-loaded, carbon quantum dot-modified, floatation-based, and heterojunction photocatalysts. We also discuss research on degradation pathways and reaction mechanisms for antibiotics. Of particular importance are several key factors influencing degradation efficiency, which are summarized within this work. These include the separation and charge transfer rate of catalyst surface carriers, and the wide-spectrum response capabilities of photocatalysts, as well as persulfate activation efficiency. Furthermore, emphasis is placed on the significant role played by intrinsic driving forces such as built-in electric fields within catalytic systems. Moreover, this paper introduces several promising composite-structure photocatalytic technologies from both composite-structure perspectives (e.g., Aerogel-based composites) and composite-method perspectives (e.g., the molecularly imprinted synthesis method). We also discuss their latest development status, along with future prospects, presenting valuable insights for pollutant degradation targets. This work aims to facilitate the design of efficient photocatalytic materials, while providing valuable theoretical references for environmental governance technologies.

ERIMS assessment Tool Enhances Emergency Response in WHO Europe Region

Abstract Issue/problem The implementation of an Emergency Response Information Management System (ERIMS) assessment tool improves health emergency responses within the World Health Organization - European Region. The tool’s deployment aims to refine data management processes and bolster preparedness strategies. Managing health information systems (HIS) effectively during emergencies is a persistent challenge, as technologies keep innovating and potential challenges are constant. The ERIMS assessment tool addresses this by offering a structured approach, ensuring improved emergency responses and system resilience. Description of the problem Adopting a systems approach, the ERIMS tool was designed to be flexible, allowing adaptation to various HIS architectures and emergency coordination mechanisms. Its design and development process included consultations with digital health and emergency management experts and field testing across three WHO member states. Results Field applications of the ERIMS assessment tool demonstrated its capacity to evaluate, including, digital capability and knowledge management with focus on emergency scenarios. The tool identified systemic gaps, offered strategic guidance on enhancing data processes, and fortified decision-making protocols. These outcomes not only highlighted the tool’s utility in assessing HIS readiness but also its impact in improving emergency response mechanisms. Lessons The deployment of the ERIMS assessment tool enhanced HIS by providing an evaluation of emergency preparedness and response capabilities with a focus at the national perspective level. The tool’s application showcased its role in advancing public health emergency preparedness, illustrating how assessments can lead to substantial improvements in health information management and emergency response readiness. Key messages • ERIMS assessment implementation improves emergency data management. • Better preparedness relies on boosting digital capabilities and knowledge management.