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The conventional perception of Information Systems (IS) in educational systems, focused on improvement, often confines its role to the technical management of dashboards and performance indicators. Its transformative nature has, however, a profound impact at different levels: individual, institutional and even systemic. Thus, education systems' improvement initiatives having grown in complexity and urging systemic approaches, position IS at their core, assuming a pivotal role. This work strives to provide countries adopting performance management initiatives with a digital platform architecture for maximizing the potential of IS in educational reform. Reflecting on the state of the art in the use of information technologies in the systemic transformation of organizations, the design of our digital platform is drawing on TOGAF framework. For the development of strategic and business aspects, we draw on recent empirical studies that examine performance issues in education systems. Rooted in the theory of systemic improvement, four drivers of transformation have been identified. These drivers underpin the fundamental components of the digital platform. The Moroccan case study is used to illustrate functional and technical aspects of the platform but highlighted at the same time the major turning point that Morocco's education policy is currently undergoing in terms of systemic improvement, and the potential of IS in enabling this transformation. In summary, this work introduces the concept of Performance Management and Systemic Improvement of Education (PMSIE) through a digital platform. The applicability of this concept in transforming education systems paves the way for new research avenues, including adaptability, productivity and data governance. [ABSTRACT FROM AUTHOR]

Background: Effective diagnostic capacity is crucial for clinical decision-making, with up to 70% of decisions in high-resource settings based on laboratory test results. However, in low- and middle-income countries (LMIC) access to diagnostic services is often limited due to the absence of Laboratory Information Management Systems (LIMS). LIMS streamline laboratory operations by automating sample handling, analysis, and reporting, leading to improved quality and faster results. Despite these benefits, sustainably implementing LIMS in LMIC is challenging due to high costs, inadequate infrastructure, and limited technical expertise. Methods: This study evaluated the implementation of a customised microbiology LIMS at the National Health Laboratory (NHL) in Timor-Leste. The LIMS was deployed in November 2020, with an accompanying online results portal introduced in early 2021. The implementation was assessed via a checklist based on key challenges and requirements for LIMS in LMIC, alongside a post-implementation survey of scientists and clinicians. Results: The assessment revealed significant improvements in laboratory processes, including enhanced sample throughput, data management, and result reporting. The LIMS reduced transcription errors and standardised reporting of antimicrobial susceptibility testing (AST), improving data quality and accessibility. However, challenges such as unreliable internet connectivity and the need for ongoing funding and technical support persist. The user satisfaction survey, with responses from 19 laboratory scientists and 15 clinicians, revealed positive feedback on workflow improvements and result accessibility, although concerns about internet speed, sustainability, and the need for further training were noted. Conclusion: This study highlights the importance of careful planning, customisation, and stakeholder engagement in LIMS implementation in LMIC. The success in Timor-Leste demonstrates the potential for improved laboratory quality and patient outcomes, but also underscores the need for ongoing investment in infrastructure, technical expertise, and sustainability planning. [ABSTRACT FROM AUTHOR]

The unsustainable use of wildlife is a primary driver of global biodiversity loss. No comprehensive global dataset exists on what species are in trade, their geographic origins, and trade's ultimate impacts, which limits our ability to sustainably manage trade. The United States is one of the world's largest importers of wildlife, with trade data compiled in the US Law Enforcement Management Information System (LEMIS). The LEMIS provides the most comprehensive publicly accessible wildlife trade database of non-the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) listed species. In total, 21,097 species and over 2.85 billion individuals were traded over the past 22 y (2000-2022). When LEMIS data are combined with CITES records, the United States imported over 29,445 wild species, including over 50% of all globally described species in some taxonomic groups. For most taxa, around half of the individuals are declared as sourced from the wild. Although the LEMIS provides the only means to assess trade volumes for many taxa, without any associated data on most wild populations, it is impossible to assess the impact on biodiversity, sustainability of trade, or any potential risk of pest or pathogen spread. These insights underscore the considerable underestimation of trade and the urgent need for other countries to adopt similar mechanisms to accurately record trade. [ABSTRACT FROM AUTHOR]

The use of fire by farmers has been a common practice worldwide for decades. The objective of this work was to diagnose the use of fire in agricultural activities at the Estancia Vieja site, Portoviejo canton, Manabí, Ecuador. For the development of the research, a non-experimental, descriptive, cross-sectional design was used. The sample size was calculated with the Decision Analyst STATSTM 2.0 software. The information was obtained by applying a semi-structured questionnaire to 123 agricultural producers. The statistical analysis was performed with the SPSS program (Version 22.0). The hot spots for contrast with the months in which fire is most used were obtained from the Fire Information for Resource Management System. In the locality, the use of fire in agricultural activities is common, mainly for clearing land destined for the implementation of agricultural crops. The respondents showed that they have knowledge about the hours and months in which they should burn in order to achieve the objective of eliminating the greatest amount of crop residues and weeds, as well as about the way to burn these fuels depending on the existing quantity of them and about the prevention measures they observe before burning. This information supports decision-making in the field of integrated fire management. It is suggested that similar research be carried out in other localities but considering the relationship of the use of fire with meteorological conditions, fire behavior and its effects on the environment. [ABSTRACT FROM AUTHOR]

Advance signal processing techniques are becoming one of the essential requirements for secure and efficient communication in the future innovative world. These requirements are due to the tremendous advancement of various latest cutting‐edge technologies that are very useful for the present generation. Marketing information system visualization is essential for the services of every advanced technology established in this way to reach people. Citing this, signal processing is a significant issue in most new technological innovations and challenges in various applications. A marketing information system, or MIS, based on these processes provides a valuable marketing method that helps marketers make better decisions. In this mode of operation, the existing methods are discarded, and the new methods, such as visual images, sound waves, and seismic waves, are implemented as digital signal processes, and their benefits are used as inputs for the processing of humankind. Based on this perspective, collaborative Management Information Systems (MIS) is proposed. This process‐based bridge enables MIS professionals to benefit from their investments in personnel, equipment, and business processes. In particular, transportation challenges such as total order intensity ratio, rising fuel prices, unexpected delays in transportation, shortage of skilled workers, deplorable warehouse conditions, insufficient and over‐stressed delivery staff, etc., and how road transport is giving its full attention to these fluctuations. Research paper explains very clearly and adequately explains the impact of such explained traffic problems, such as the volume of traffic and passengers, road network, lack of rehabilitation of half of the roads, and lack of national highways. Performance analysis for MIS measures with various factors is taken, and how the process varies in them and the answers to them are clarified through this research. This research citation shows how the marketing performance of an MIS measures the best practices in this research. Through this, online marketing performance based on MIS measures can be increased through MIS analysis reports for MIS measures. Finally, the Performance of the proposed MIS‐Transport with the MIS‐hospital Industry is taken as an example and explained. [ABSTRACT FROM AUTHOR]

In the era of rapid technological advances, traditional methods of research information management are proving inadequate. A project outline is presented that introduces the concept of 'Data Management 4.0'. This concept utilises Artificial Intelligence (AI) to significantly improve research information systems. By integrating AI-supported solutions, institutions could achieve increased efficiency, accuracy and optimised resource allocation when handling large and diverse research information. The approach addresses key challenges such as data integration, cleaning, analysis and security. In addition, five practical scenarios are presented that illustrate concrete applications of AI in research information systems and show how specific problems in research information management could be solved. The proposed project aims to optimise research information systems through customised AI solutions and includes a comprehensive strategy that considers needs analysis, implementation and continuous improvement. With its publication, the concept will be made accessible to a broad discussion. This work aims to transform the practice of research information management and promote a smarter and more efficient approach to handle research information. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate the way technology affects the provision of prehospital emergency care, upgrading the quality of services offered and significantly reducing the risk of premature termination of the patients. Design/methodology/approach: The paper presents the development of the eEKAB, a pilot emergency medical information system that simulates the main services offered by the Greek National Instant Aid Centre (EKAB). The eEKAB was developed on an agile system methodology. From a technical perspective, the features and the technology were mainly chosen to provide reliable and user-friendly interfaces that will attract many users. eEKAB is based on three important pillars for offering health care to the patients: the "On-time Incident Reporting", the "On-time Arrival at the Incident" and "Transfer to the Health Center". According to the literature review, the emergency medical services (EMS) systems that combine all the features are very few. Findings: It reduces the total time of the EMS procedures and it allows for an easier management of EMS, by providing a better allocation of human resources and a better geographical distribution of ambulances. The evaluation displayed that it is a very helpful application for the ambulance drivers as it reduces the ambulance response time to arrive in the patient's location and contributes significantly to the general performance of the prehospital medical care system. Also, the survey verified the importance of implementing eEKAB on a larger scale beyond the pilot usage. It is worth mentioning that the younger ambulance drivers had a more positive view for the purpose of the application. Research limitations/implications: The paper clearly identifies implications for further research. Regarding interoperability, the mobile app cooperates with the Operational Center of EKAB, while further collaboration could be achieved with other operational ambulance handling center, mainly, of the private sector. The system can evolve to include better communications among the EKAB departments. Particularly, the ambulance crew as well as the doctors should be informed with more incident features such as the emergency signal so that they know whether to open the siren, the patient's name, etc. The authors are currently working on implementing some features to provide effective medical health services to the patient in the ambulance. Practical implications: eEKAB will have very significant implications in case of its enforcement, such as the reduction of the total time of EMS procedures with a corresponding reduction of the operating costs of an accident management system and an ambulance fleet handling system while in parallel informing in time the doctors/clinics. It will provide better distribution of ambulances as well as of total human resources. It will greatly assist ambulance drivers, while reducing ambulance response time to reach the patient's location. In other words, the authors will have a better performance of the whole prehospital care system. Social implications: Providing emergency care before the hospital is of great importance for upgrading the quality of health services provided at the accident site, thus significantly reducing the risk of premature death of patients. This in itself has a significant social implication. Originality/value: The paper demonstrates a solid understanding in the field of the EMS systems and the corresponding medical services offered. It proposes the development of an effective, feasible and innovative EMS information system that will improve the existing emergency health care system in Greece (EKAB). An in depth literature review and presentation of the adopted new technologies and the respective architecture take place. An evaluation and statistical validation were conducted for proving the high applicability of eEKAB in case of real-life running. [ABSTRACT FROM AUTHOR]

"Global Program Management" by Paula Wagner and Bruce T. Barkley is a comprehensive guide that explores the challenges and strategies of managing international programs. The book covers topics such as cultural dynamics, global risk factors, and working across multiple jurisdictions, providing practical tools and case studies for program managers and executives. With a focus on cultural adaptability, risk management, and global portfolio organization, the book offers valuable insights for those navigating the complexities of global program management. [Extracted from the article]

With the growing entrepreneurial spirit and ease of selling items online, many people are turning to virtual marketplaces to earn extra income or, in some instances, build a career. This case focuses upon the development of a database to assist in inventory management for an online reselling business that has grown from an occasional hobby to a full-blown business. The case provides a realistic scenario that can be used in a capstone business course, systems analysis and design, database development, or graduate level management information systems course. Some of the suggested case exercises were written so that the case could be used as an integrative capstone project across multiple disciplines including digital marketing, entrepreneurship, business management, project management, human resources, accounting, finance, information systems, and computer science. Multiple assignment options are provided allowing instructors to select an assignment based upon course material coverage. Suggested assignments include the investigation of developing an online business, development of process modeling diagrams such as a data flow or swim lane diagrams, and database design and development artifacts. [ABSTRACT FROM AUTHOR]

The article "Developing a Cyberstrategy With the Seven Pillars of Cyberresilience" emphasizes the importance of establishing a defined cybersecurity strategy aligned with business objectives. It discusses the impact of emerging technologies on the cybersecurity landscape and the need for a comprehensive and flexible approach to cyberstrategy. The article outlines the seven pillars of cyberresilience and provides guidelines for implementing a successful cybersecurity strategy. It also highlights common challenges in implementing cyberresilience strategies and offers solutions to overcome them. The article stresses the need for continuous review and updates to cybersecurity strategies to adapt to evolving threats. [Extracted from the article]

This study investigates factors influencing employees' perceptions of the usefulness of Business Process Management Systems (BPMS) in commercial settings. It explores the roles of system dependency, system quality, and the quality of information and knowledge in the adoption and use of BPMS. Data were collected using a structured questionnaire from end-users in various firms and analyzed with Partial Least Squares (PLS). The survey evaluated perceptions of service quality, input quality, system attributes, and overall system quality. The findings indicate that service quality, input quality, and specific system attributes significantly influence perceived system quality, while system dependency and information quality are predictors of perceived usefulness. The results highlight the importance of user training, support, and high-quality information in enhancing satisfaction and BPMS. This research offers empirical evidence on the factors impacting user perceptions and acceptance, emphasizing the need for user-centric approaches in BPMS. [ABSTRACT FROM AUTHOR]

This study explores the factors that influence women's career decisions in the Information and Communication Technologies (ICT) sector, as perceived by women Management Information Systems (MIS) students. It examines how career optimism (CO) and perceived employability (PE) affect the link between irrational beliefs about employment (IB) and career decisiveness (CD). The study involved 232 female students from ICT-related programs in Turkey. Data were collected using four different scales and analyzed for accuracy and connections between factors. To prevent the effects of common method bias, Harman's single-factor test was used, followed by an analysis of mediation effects. Results showed that women students' IB about employment negatively impacted their CD. CO helped mediate this effect. Moreover, both CO and PE together had a mediating role in how IB affected CD. These findings offer valuable insights into the individual and contextual factors shaping women's career decisions. They also support initiatives to boost women's career stability, which aligns with the United Nations (UN) Sustainable Development Goals (SDGs) 5 and 8. Encouraging career optimism and employability may reduce the negative effects of IB and contribute to a fairer job market where women can pursue ambitious careers. [ABSTRACT FROM AUTHOR]

To optimize the current college sports data information management system, this study combines the Apriori association rule algorithm with web application development technology to upgrade the management system. Firstly, this study explores novel log mining techniques in genetic algorithms and web application development technology. Secondly, by integrating log mining techniques to optimize the Apriori algorithm, associations between sports data and information are discovered. Through the optimized algorithm, this study identifies key association rules of sports data information and validates the optimized system's reliability and effectiveness through experiments. The experimental results show that the running time of the traditional Apriori algorithm exponentially grows with the increase in information volume, while the optimized execution efficiency is improved by approximately 10–15%. Additionally, the average retrieval accuracy of this optimized system can reach 98.3%, although the retrieval time also increased by 23%. Therefore, the technology and algorithms proposed in this study have certain application value in the sports information management system and contribute to the optimization of data information management in this field. [ABSTRACT FROM AUTHOR]

This study aims to provide a medical information management system using multi-source heterogeneous big data to improve medical service quality and efficiency, with a motivation on its potential in medical insurance DRG payment. The system framework uses Back Propagation Neural Network (BPNN) technology to efficiently process and analyze multi-source medical data. Comparative experiments and parameter adjustments evaluated the system's performance. Results show that the BPNN model achieved excellent accuracy (92.5%), recall (93%), and F1 value (92.8%) on the test data set, outperforming other models such as PSO(88%), CNN(89%), and RNN(90%). The system's response speed was also significantly improved, with an average response time of 0.38 seconds, compared to 0.89 seconds for traditional systems. A 72-hour stability test confirmed the system's reliability and ability to meet user needs. The proposed system demonstrates improved performance and user experience, making it a promising solution for medical information management and DRG payment applications. [ABSTRACT FROM AUTHOR]

Big Data platforms store vast amounts of information, necessitating robust security measures, including risk-based approaches. Risk assessment, a key part of Information Security Management Systems (ISMS), involves evaluating threats, vulnerabilities, and documenting risks through risk registers. Organizations face the challenge of allocating resources effectively to implement controls that mitigate these risks. This involves calculating risk scores before and after control implementation and prioritizing them—an NP-Complete (Nondeterministic Polynomial-time Complete) problem. This paper presents a mathematical model for solving this using the Z3 Satisfiability Modulo Theories (SMT) solver. The model enables risk-based planning for security implementation in big data platforms. The results demonstrate the feasibility of the approach, with the system processing up to 11 risks (almost 40 million permutations) efficiently, compared to brute force methods, which struggle beyond six risks (720 permutations). [ABSTRACT FROM AUTHOR]

The recent changes in technological innovations in agriculture in the last decades are radically changing the paradigm of traditional cultivation techniques and these have already been the subject of research for some time. The present study aims to review the new trends of digital technologies adoption in precision agriculture. Starting from theoretical study models such as the Agriculture Knowledge and Innovation Systems (AKIS), the Agricultural Innovation System (AIS) and the new modeling of the Farm Management Information System (FMIS), a review was carried out with the aim of identifying emerging adoption drivers for the implementation of precision agriculture technologies. To do this, 19 papers were analyzed in the period 2018-2021 that included empirical investigations. The results of the survey confirm the new adoption trends where, in addition to the size of the agricultural company, the geographical position and the financial resources, sociodemographic factors are included and above all the new emerging trend linked to environmental benefits. [ABSTRACT FROM AUTHOR]

The presented study explored approaches on the formation of cartographic and attribute information using the GIS technology for management of arable lands. This research included the development of advanced methodology for organizing agriculture lands using modern geoinformation technology through developing a digital cartographic environment. It further contained the database for agroecological soil properties, thematic maps for land management, and creation of a plan for using land in the study area. The latest research also revealed the foundation of the methodology for the land management of modern agro-formations, considering the requirements of the landscape approach to land use. An analysis of the agro-ecological state of the soil cover also ensued, obtaining the data from the analysis of thematic maps and land structure. The study revealed that 52.5% of the total assessed area consisted of chestnut ordinary soils, and 43.1% were floodplain meadow-chestnut soils. The proposed approach of arable land management can also apply in other regions of Kazakhstan for improving soil fertility and reducing degradation levels. [ABSTRACT FROM AUTHOR]

This work presents a modular laboratory information management system (LIMS) developed at the Peruvian Institute of Nuclear Energy for neutron activation analysis using the k0 method. The LIMS is based on Visual Studio, WinForms, the.NET Framework, and C#. It digitizes processes and ensures metrological traceability while facilitating sample management, spectral processing, and neutron flux characterization. Data is stored securely in the cloud to allow instant and secure access by multiple users. Its innovation lies in the personalized and modular design, which optimizes laboratory efficiency without requiring significant adjustments to existing procedures. In addition, it was designed for it to be adaptable for use by other research organizations. [ABSTRACT FROM AUTHOR]

Objective: To determine user satisfaction of clinical faculty using Electronic Hospital Management Information System (eHMIS) in Lady Reading Hospital Peshawar Pakistan. Methods: This descriptive cross-sectional study was conducted in Orthopaedic Division Lady Reading Hospital Peshawar Pakistan from 15th March 2023 to 15th November 2023.All consultants serving in hospital fulfilling the inclusion criteria and consenting were included in this study. A validated questionnaire assessing the End User Computing Satisfaction (EUCS) was emailed to the included faculty. This questionnaire had 12 questions with answers ranked on the Likert scale (1 to 5 with 1 denoting almost never and five almost always). Data was analyzed with SPSS version 27. Results: We received 142 filled questionnaires. The mean age of our study participants was 43±2.1 years. Male participants were 128(90.14%) and female 14(9.85%). The eHMIS provided precise information to 112(78.87%) consultants most of the time. Majority (91.54%, n=130) of the respondents agreed that the information content met their need most of the time. Many (57.04%, n=81) consultants admitted that the output was presented in useful format most of the time and the information of was clear most of the time to 117(82.39%) consultants. Majority (69.71%, n=99) of the respondents got the information they needed in time almost always. The eHMIS provided up-to-date information almost always to 111(78.16%) respondents. Conclusion: Majority of our consultants were satisfied with the Electronic Hospital Management Information System (eHMIS) most of the time to almost always and most were using it several times daily. [ABSTRACT FROM AUTHOR]

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Information system security metrics are critical in assessing and mitigating data protection risks. Executives must improve the security of their information systems. However, it is important to note that there is a wide variety of metrics available and that generic measurements may not be effective for the broader enterprise. This article provides an overview of information system security metrics and introduces a novel hierarchical model for them. Adopting a comparative approach across five sectors (health, finance, industry, government, and education), the Analytical Hierarchy Process (AHP) was used to design and evaluate the model in each sector context. The objective was to identify the variation in security criteria based on the sector. The results obtained confirm that the criteria weights vary according to the sector involving a change in the hierarchical evaluation model. [ABSTRACT FROM AUTHOR]

Many enterprises are currently engaged in developing blockchain-based business models. Enterprise networks offer a variety of potential applications for blockchain solutions as they benefit from transparency and security as well as automation of handling data, material, and financial flows along their supply chains. Despite profound potentials, the indicated business models are still in their early stages and need further investigation. To provide an overview of existing blockchain-based business models in the context of enterprise networks, the underlying paper designs a multidimensional taxonomy and identifies several archetypes of blockchain-based businesses. For the taxonomy development, data from 101 blockchain start-ups serves as a basis for empirical validation. Using hierarchical clustering and the k-means method, seven archetypes that sharpen the understanding of how blockchain solutions affect business models in enterprise networks and enable new business models are derived. The proposed work results are intended to be applied in future research and practice to classify and assess the integration of blockchain solutions into existing business models and to support developing new ones that leverage emerging technological capabilities. [ABSTRACT FROM AUTHOR]

This research seeks to advance the technological process of 3D digitization in built environments and streamline management processes in the construction sector through digital methodologies. To this end, an integration framework is proposed that combines geographic information systems (GISs) and building information modeling (BIM) digital models, specifically for simulating building facilities maintenance management. Although the proposed methodology is applicable across various geographical contexts and building typologies, to ensure clarity in its development, it was applied to a specific case study. For this purpose, a 3D GIS model was created for one of the campuses of the University of Cantabria in Santander, Spain, along with a BIM model for one of its university buildings. Using these integrated models, facility management was simulated within a 3D environment via a computerized maintenance management system (CMMS). The findings indicated that GIS and BIM digital models could indeed be integrated through straightforward linking mechanisms without compromising the efficiency of information synchronization and management. When comparing 2D facility management approaches with 3D formats, the advantages of 3D visualization became clear. This three-dimensional representation allowed for a more intuitive understanding of spatial dynamics and interactions, facilitating quicker identification of potential issues and more efficient maintenance operations. Consequently, integrating these advanced digital models not only optimizes operational efficiency but also fosters a collaborative environment, fundamentally transforming building facilities management. [ABSTRACT FROM AUTHOR]

Purpose: This study develops an integrated theoretical framework synthesizing Dynamic Capabilities Theory, Knowledge-Based View, Socio-Technical Systems Theory, and Digital Leadership to explain how organizations leverage emerging technologies to develop management competencies and enhance organizational performance. Design/methodology/approach: The research employs a two-phase conceptual methodology: (1) systematic literature analysis of leading management and information systems journals across four theoretical domains, and (2) iterative framework development integrating theoretical perspectives with emerging technology contexts. Findings: The framework reveals that management competencies are shaped by the interaction between emerging technologies and modern digital management theories, leading to distinct organizational performance outcomes. These competencies lead to organizational benefits. The framework's effectiveness is moderated by contextual factors. Originality/value: The research offers three significant contributions: (1) advances theoretical discourse by providing a novel synthesis of contemporary digital management theories, (2) demonstrates practical relevance through actionable insights for developing technologyenabled management competencies, and (3) establishes empirically validated linkages between digital capabilities and organizational outcomes. The framework provides a comprehensive understanding of how organizations can effectively develop and leverage digital capabilities in the modern business landscape. [ABSTRACT FROM AUTHOR]

The text is a tribute to Srinagesh Gavirneni, a respected professor of Operations, Technology, and Information Management at Cornell University, who passed away unexpectedly in 2023. It highlights his academic achievements, research contributions, and personal qualities, emphasizing his impact on the academic community and his dedication to mentoring students and colleagues. The document also includes heartfelt messages from colleagues and friends, reflecting on Nagesh's kindness, professionalism, and commitment to his family and community. [Extracted from the article]

Business process management has become increasingly important in the manufacturing sector, playing a vital role in fostering productivity and facilitating organizational adaptability to technological advancements. Although each company's business process models vary in uniqueness and complexity, certain similarities can be identified from these differences. This study employs a systematic literature review to aggregate and summarize findings on business process models, modeling languages, clustering techniques, and foundational clustering principles. Results demonstrate the dearth of research on the grouping of business process models in the manufacturing industry. Several studies have focused on sectors such as services, trading, and insurance. Research specifically addressing clustering in the manufacturing sector is limited. Existing clustering efforts in manufacturing revolve around groupings related to product defects, industrial locations, business ecosystems, and similar factors. Analysis of the methods, scope, and criteria used in grouping business process models in the manufacturing industry indicates that most approaches rely on structural or graphic similarities. Follow-up research is lacking once these business process clusters are identified. This study proposes a novel approach to grouping, integrating business process modeling with the implementation of a management information system. Business process management relies on integrating departments within the company through an enterprise resource planning (ERP) system. The next step involves proposing a conceptual framework to categorize business processes and assess the comparability of models in the manufacturing sector. Future research directions are also delineated. [ABSTRACT FROM AUTHOR]

The document provides brief biographical information about various authors in the field of information systems research. It includes details about their academic positions, research interests, educational backgrounds, and notable achievements. The authors come from diverse cultural backgrounds and hold positions at universities around the world, contributing to a global perspective in the field of information systems research. [Extracted from the article]

The Journal of Management Information Systems has published a special issue that focuses on two main topics: the interaction between humans and artificial intelligence (AI), and cybersecurity. The first set of papers explores the impact of generative AI on human accomplishment and productivity, as well as the concerns surrounding employment and the survival of humans in the face of AI. The second set of papers addresses the increasing importance of cybersecurity in the face of sophisticated cyberattacks and the need for a broader understanding of cybersecurity and the use of AI to combat these threats. Other topics covered in the issue include the role of AI in employee performance evaluation, the collaboration between AI and humans in demand forecasting, the effectiveness of fear appeals in shaping employee cybersecurity posture, the relationship between IT innovativeness and the risk of data breaches, the impact of avatars on community identification in virtual social worlds, the performance of foreign IT complementors in mobile app startups, the impact of open-source software communities on cryptocurrency prices, the influence of social relationships on online reviews, the digitalization of loyalty in online reward programs, and the optimization of brand offerings in online marketplaces. [Extracted from the article]

Digital transformation strategies in various industries are shifting stakeholders' expectations regarding the construction sector's capacity to provide efficient and high-value digital solutions. In response, construction organizations are adopting digital technologies to enhance the efficiency, effectiveness, and overall quality of their design, operations and project delivery. Despite the growing prevalence of digital technologies, the construction sector lags in its effective adoption and benefit realization. The construction literature predominantly addresses a direct link between the use of digital technology and its attributed benefits, overlooking the critical dimension of intraorganizational change to realize them. A notable gap exists in the systematic understanding of how construction organizations define and approach digital transformation in their daily practices and how it can be conceptualized for the construction sector. This study pivots toward exploring organizational-level impacts of digital technology implementation and delves into the evolution of strategic assumptions and management practices essential for realizing digital transformation, a concept developed in the management and information system literature. Because construction client organizations play a pivotal role in driving industry-wide change, 24 experts from six organizations across four countries were interviewed by employing an exploratory qualitative research approach. The findings underscore a critical insight: the effectiveness of digital technology implementation in construction hinges significantly on an organization's readiness to embrace holistic, internal change. This study proposes a conceptual model centered on innovation management, business transformation, data precedence, change leadership, and digital governance, framing these as the essential elements for harnessing the full potential of digital technology. This study contributes to the evolving discussion of digital transformation in the construction sector, highlighting that fundamental changes cannot solely be imposed through external forces; instead, they must originate internally—"change must come from within." [ABSTRACT FROM AUTHOR]

Groundwater is a critical resource that supports agriculture and ecosystems which is increasingly threatened by anthropogenic activities and climate change. Despite the advancements in spatial analysis methods, there remains a lack of comprehensive reviews that synthesize these techniques specifically for groundwater vulnerability assessment as existing literature often focuses on isolated methodologies without integrating them into a cohesive framework that addresses the complexities of groundwater systems. Hence, the need for proactive conservation and mitigation strategies on how spatial analysis can enhance groundwater vulnerability assessments is crucial for developing effective policies and practices aimed at safeguarding this vital resource. This review evaluates various spatial analysis techniques used in assessing groundwater vulnerability, identify their strengths and limitations, and propose a strategic framework for their application in conservation efforts. A systematic literature review was conducted, focusing on peer-reviewed articles published in the last two decades. Techniques such as remote sensing (RS), Geographic Information Systems (GIS), Multi-Criteria Decision Analysis (MCDA), and statistical modelling were analyzed in terms of their applicability to groundwater vulnerability assessments. The findings reveal that spatial analysis techniques significantly enhance the accuracy of groundwater vulnerability assessments (GVAs) by incorporating diverse data sources such as land use, soil characteristics, and hydrological features. Key results indicate that GIS-based models provide robust frameworks for identifying vulnerable areas, while MCDA facilitates stakeholder engagement by integrating socio-economic factors into decision-making processes. The study concludes that a strategic approach combining various spatial analysis techniques offers a promising pathway for enhancing groundwater vulnerability assessments. This integrated methodology not only aids in identifying vulnerable areas but also supports informed decision-making processes regarding conservation efforts. However, future research should focus on developing standardized protocols for integrating diverse spatial analysis methods as well as longitudinal studies to assess the long-term effectiveness of implemented conservation strategies based on these assessments. [ABSTRACT FROM AUTHOR]

Background: In 2022, India's national tuberculosis (TB) elimination program (NTEP) commissioned a national level evaluation of active case finding (ACF) for TB to guide evidence-based strategic planning. As part of this evaluation, based on secondary data analysis we observed that the quality of ACF was suboptimal in 2021. Hence, this study aimed to understand the enablers, barriers, and suggested solutions to improve ACF for TB in India from NTEP staff (provider) perspective. Methods: This was a descriptive qualitative study involving key informant interviews from six districts and eight states, conducted between February and August 2023. We purposively selected key state- district- and sub-district-level program managers and implementers who were experienced and vocal. The interviews were audio recorded and transcribed verbatim by research interns and investigators. Two investigators independently did manual descriptive thematic analysis, and a third investigator resolved inconsistencies. The themes and categories emerged by collating together the results of the coding process. Results: A total of 34 key informant interviews were conducted and of these, four were repeat interviews. Adequate budgets for ACF including incentives, performance review mechanism, engagement of all stakeholders, adopting a community friendly approach, use of rapid diagnostic tests and digitalization were the perceived enablers. In some states ACF was implemented in general population (not restricted to high-risk population) following directives at state level. There were limited mechanisms to ensure ACF quality indicators were met before disbursing incentives and cross-verification of the aggregate ACF care cascade numbers that were reported in Ni-kshay (electronic TB information management system under NTEP). In addition to the state and district level implementers having limited understanding of concepts around ACF (quality indicators, number needed to screen and yield), we also inferred the presence of a 'know-do' gap for many activities under ACF. The suggested solutions were around capacity building and quality improvement strategies. Conclusion: The existing national ACF guidance should be revised to emphasize capacity building, need to carry out ACF in high-risk (not general) population, quality control-linked incentives, and regular implementation monitoring of the activities. This should contribute towards better coverage and improved quality translating into better ACF outcomes. [ABSTRACT FROM AUTHOR]

Efforts to eliminate visceral leishmaniasis in India mainly consist of early detection and treatment of cases and indoor residual spraying with insecticides to kill the phlebotomine sandfly Phlebotomus argentipes that transmits the causative Leishmania protozoa. In this modelling study, we aimed to estimate the effect of indoor residual spraying (IRS) on vector abundance and transmission of visceral leishmaniasis in India. In this time-series analysis and modelling study, we assessed the effect of IRS on vector abundance by using indoor vector-abundance data (from 2016 to 2022) and IRS quality-assurance data (from 2017–20) from 50 villages in eight endemic blocks in India where IRS was implemented programmatically. To assess a potential dose–response relation between insecticide concentrations and changes in sandfly abundance, we examined the correlation between site-level insecticide concentrations and the site-level data for monthly sandfly abundances. We used mathematical modelling to link vector data to visceral leishmaniasis case numbers from the national Kala-Azar Management Information System registry (2013–21), and to predict the effect of IRS on numbers of averted cases and deaths. IRS was estimated to reduce indoor sandfly abundance by 27% (95% CI 20–34). Concentrations of insecticides on walls were significantly—but weakly—associated with the degree of reduction in vector abundance, with a reduction of –0·0023 (95% CI –0·0040 to –0·0007) sandflies per mg/m2 insecticide (p=0·0057). Reported case numbers of visceral leishmaniasis were well explained by trends in vector abundance. Village-wide IRS in response to a newly detected case of visceral leishmaniasis was predicted to reduce disease incidence by 6–40% depending on the presumed reduction in vector abundance modelled. Indoor residual spraying has substantially reduced sandfly abundance in India, which has contributed to reductions in visceral leishmaniasis and related deaths. To prevent the re-emergence of visceral leishmaniasis as a public health problem, surveillance of transmission and sandfly abundance is warranted. Bill & Melinda Gates Foundation. For the Hindi translation of the abstract see Supplementary Materials section. [ABSTRACT FROM AUTHOR]

Simple Summary: The growing impact of invasive alien species highlights the need for effective management. However, the lack of baseline data on invasive alien species often hinder the efficient allocation of resources. Data requirements for invasive alien species remain under-recognized, leading to insufficient evaluation of the gaps. Our study identifies critical data gaps and proposes recommendations for improving the collection, curation, and quality control of invasive alien species data in China. The impact of invasive alien species (IAS) on nature and society is increasing globally. It is crucial to utilize information systems for evidence-based management, enabling the assessment and supporting survey and control actions. However, the lack of accessible and comprehensive baseline IAS data often impedes the ability to prioritize and allocate resources efficiently. Despite the increased public awareness of biological invasions in China over the past decades, the critical importance of data requirements has not been fully recognized, leading to gaps in available data. Here, we outline the key data demands for the management of biological invasions and highlight the current lack of high-quality data for invasion management in China, and critically assess data gaps in IAS distribution, inventory, and impact. Additionally, we propose a conceptual framework to illustrate the data requirements throughout the invasion management process, along with indicators to assess data quality within three dimensions: relevance, resolution, and reliability. [ABSTRACT FROM AUTHOR]

Introduction: There were fluctuatif cases of maternal death at Banyuwangi District in 2014-2018. The cases of maternal mortality needs attention considering to reduction MMR. An information system for high- risk pregnant woman is needed as a basis for decision making and Local Area Monitoring (PWS). The research aims to analyze the need for developing an integrated early warning system for high-risk pregnant woman between PHC and Hospital. Materials and methods: A qualitative design and action research. Primary data was obtained from interviews, observations, and FGD. Informants are Head, Midwife Coordinator, and Area Midwife of PHC, Head of Medical Service, and Head of IT Public Hospital. Secondary data from PHC and hospital documents. Processing and analysis data descriptively. Results: Problem identification of existing system was manual for compilation, analysis, and mapping; no integrated system between PHC and hospital MIS; referral patient data was re-entered in referral patient registration; the presence of high-risk pregnant women not yet known by the hospital; and information on the availability of maternal rooms in the hospital cannot be accessed directly by referral patients. There was an opportunity to develop an integrated MIS. Conclusion: There was need for developing an information system for high-risk pregnant women between PHC and hospital, that can be used by all level users, can relied on to carry out data processing, easier to produce quality information. The MIS is based on websites (web-based) and Android for an integrated early warning system to prevent deaths of pregnant women. [ABSTRACT FROM AUTHOR]

Background: Healthcare laboratory systems produce and capture a vast array of information, yet do not always report all of this to the national infrastructure within the United Kingdom. The global COVID-19 pandemic brought about a much greater need for detailed healthcare data, one such instance being laboratory testing data. The reporting of qualitative laboratory test results (e.g. positive, negative or indeterminate) provides a basic understanding of levels of seropositivity. However, to better understand and interpret seropositivity, how it is determined and other factors that affect its calculation (i.e. levels of antibodies), quantitative laboratory test data are needed. Method: 36 data attributes were collected from 3 NHS laboratories and 29 CO-CONNECT project partner organisations. These were assessed against the need for a minimum dataset to determine data attribute importance. An NHS laboratory feasibility study was undertaken to assess the minimum data standard, together with a literature review of national and international data standards and healthcare reports. Results: A COVID serology minimum data standard (CSMDS) comprising 12 data attributes was created and verified by 3 NHS laboratories to allow national granular reporting of COVID serology results. To support this, a standardised set of vocabulary terms was developed to represent laboratory analyser systems and laboratory information management systems. Conclusions: This paper puts forward a minimum viable standard for COVID-19 serology data attributes to enhance its granularity and augment the national reporting of COVID-19 serology laboratory results, with implications for future pandemics. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to design a conceptual model of the management information system for the Library Development and Reading Promotion Department within the Iran Public Libraries Foundation. Method: The present study was conducted with a specific purpose and utilized qualitative research methods for data collection, specifically qualitative content analysis. The statistical population for this study comprised the employees of the Development Office of the Public Libraries Institution. The research tool employed was a semi-structured interview, with the questions finalized after conducting three preliminary interviews. A total of 19 employees from the Development Office of the Institution were selected as the research sample using a purposive sampling method to ensure maximum diversity. Following each interview, the transcripts were created and coded. In the content analysis of the interviews, primary codes, subcategories, and main categories were identified. Findings: In the analysis of the interviews, twelve processes were identified for the Deputy for Institutional Development. The processes of the General Office of Resource Supply included two specific activities: assigning donated resources and identifying both book and non-book resources. The Office of Reading Promotion and Cultural Affairs undertakes three key initiatives: organizing national competitions, implementing digital advertising campaigns, and hosting library meetings. The General Office of Library Development and Partnerships encompasses seven primary processes: creating and designing libraries, developing library services, cataloging, the qualification process for positions, selecting national winners, updating guidelines and regulations related to libraries, and supporting and enhancing the Saman software. For each process, inputs were identified as the information required by experts to execute the process, while outputs were defined as process output reports intended for managers. Additionally, the characteristics of each piece of information were established. Conclusion: This study has identified the processes of the Library Development Department, compiling a list of essential information for experts and managers, characterized for each process. Based on these processes, inputs, outputs, and information characteristics, a hierarchical model of the management information system for the department can be constructed. It is recommended that the Library Development Department develop a management information system with proposed dashboards for various processes based on the conceptual model needs identified in this research. Additionally, this study offers a framework for the management information systems in organizations, aiding in the identification of their management information system components. [ABSTRACT FROM AUTHOR]

Energy management, especially in communities, is attracting growing interest but is often marred by confusion between the terms "energy information system" (EIS) and "energy management system" (EMS). This ambiguity hinders understanding of their uses and roles in improving energy performance. Our objective is to clarify these terms and their contributions to energy management. We used a mixed qualitative and quantitative approach to evaluate and compare the criteria of definition, objective, functionality, and role, as well as correlated elements, such as organizational structure, responsibilities, planning, and policy, according to the requirements of ISO 50001, in addition to criteria specific to the two systems. The study revealed differences in the roles of the EIS and the EMS, with a complementarity of 40% between the two systems depending on the positioning of the EIS in relation to the elements of the EMS process. The EIS plays a crucial role in facilitating the implementation of the EMS according to ISO 50001. This clarification contributes to a better understanding of the respective roles of these systems in energy management, thus helping communities to improve their energy performance in an effective manner. [ABSTRACT FROM AUTHOR]

Financial report is an essential part of corporate governance and a decision-making tool for its stakeholders. The purpose of this study is to identify and clarify the influencing factors of a financial report timeline. Data collection incorporated in this research is a purposive sampling approach, 39 out of 68 fast-moving consumer goods (FMCG) companies are listed in the Indonesia Stock Exchange (2014-2021). Through a thorough observation of 321 companies, descriptive statistics is further used as a data analysis tool along with logistic regression. This study indicates that corporate characteristics i.e profitability, age, size, and audit quality are determinants of company compliance in submitting financial reports. The findings concluded that financial report timelines are significantly influenced by company size, and company age leaving out the profitability and audit quality. The novelty of this study is reflected in the result that larger and older companies in Indonesia publish their financial information promptly. This paper contributes further development of good governance and strategic management theoretical framework and its practical implications on accounting systems, management information systems, operations management, and information technology. [ABSTRACT FROM AUTHOR]

In the context of rapid globalization and the swift advancement of information technology (IT), traditional corporate governance models are increasingly challenged by complex business environments and the growing demand for diversified collaboration. These models often exhibit rigidity and inefficiency. The introduction of mobile interactive technology offers new possibilities for the innovation and optimization of corporate governance models. Through mobile interactive networks, resource allocation and collaboration between departments can be conducted flexibly and efficiently. Existing research predominantly focuses on traditional management information systems and centralized resource allocation methods, which frequently overlook the diversity and dynamic nature of internal resource demands within enterprises, making them inadequate for addressing the needs of modern corporations. This study proposes a collaborative interaction mechanism for corporate governance based on matching theory, designing a system model that includes collaborative task demanders and executors, and the social utility of mobile interactive networks. The findings demonstrate that this mechanism enables efficient resource allocation and stable collaborative interactions in complex environments, providing both theoretical support and practical guidance for the innovation of corporate governance models. [ABSTRACT FROM AUTHOR]

This study aims to analyze the performance of couriers in the expedition industry in the Pademangan area of North Jakarta. The research sample does not include the entire population but only a subset. The sampling method follows the theory of Hair, which provides guidelines for determining sample size in structural equation modeling (SEM). Data for this research were collected directly through a questionnaire, which is a measurement tool containing a series of written questions or statements given to respondents to gather responses relevant to the research needs. Primary data were obtained from the distribution of the questionnaire, with research variables including Performance, Management Information Systems, Training, and Organizational Culture. The data were analyzed using Partial Least Squares (PLS) methodology. Work discipline significantly affects courier performance, while incentives and competence do not have a significant impact. The three independent variables together explain 80.9% of the variation in courier performance. The company needs to reassess its incentive programs and competency development to enhance their effectiveness and consider further research to identify additional factors influencing courier performance. [ABSTRACT FROM AUTHOR]

In today's rapidly evolving landscape of higher education, the effective management and analysis of academic data have become increasingly challenging, particularly in the context of the 3Vs of Big Data: volume, variety, and velocity. The amount of data produced by educational institutions has increased dramatically, including student records. This flood of data originates from various sources and takes several forms, such as learning management systems and student information systems. Hence, in education, data analytics and predictive modeling have become increasingly significant in acquiring insights into student performance, such as identifying at-risk students who are most likely to fail their courses. This study proposes a novel approach for predicting student academic performance, particularly identifying at-risk students, by leveraging a data lake architecture. The proposed methodology comprises the ingestion, transformation, and quality assessment of a combined data source from Universiti Putra Malaysia's Student Information System and learning management system within the data lake environment. With its parallel processing capabilities, this centralized data repository facilitates the training and evaluation of various machine learning models for prediction. In addition to forecasting the student performance, appropriate machine learning algorithms such as Support Vector Classifier, Naive Bayes, and Decision Trees are used to build prediction models by using the data lake's scalability and parallel processing capabilities. This study has laid a solid groundwork for using data architecture to improve students' performance. [ABSTRACT FROM AUTHOR]

The paper presents the creation of a database of motion norms to support the maintenance management system in an industrial production company, implemented by a team from the Faculty of Mechanical Engineering, VSB - Technical University of Ostrava. This database is intended for filling and optimal use of maintenance modules of ERP systems and for use in the processes of preparation of maintenance and service orders. The article focuses on the methodology of creation, characteristics, use and availability of this database and its application in industrial practice. [ABSTRACT FROM AUTHOR]

Contemporary Management Accounting Practices (MAPs) were developed to address the weaknesses of traditional practices and to meet financial managers' need for accurate and timely information. Consequently, they contribute to optimal decision-making that enhances firms' efficiency and competitiveness, leading to improved organizational performance. Simultaneously, the success of Accounting Information Systems (AIS) is essential, as they improve the quality of information and reporting. In information- and competition-intensive environments such as the hotel industry, AIS user satisfaction, as an indicator of AIS success, can play a decisive role in the effective use of contemporary MAPs. The purpose of this paper is to explore the relationship between contemporary MAPs usage and hotel performance, and to investigate the moderating role of AIS user satisfaction. Using hierarchical multiple regression analysis, the findings indicate that the interaction of contemporary MAPs usage and AIS user satisfaction results in improved hotel performance. This study contributes to the current knowledge by developing a framework of the relationship of Management Accounting and Information Technology, through the lens of Contingency Theory and the Information Systems Success Model of DeLone and McLean. Additionally, the findings provide managerial implications for financial managers and IS developers. [ABSTRACT FROM AUTHOR]

As a high-value agricultural product, the cold chain logistics management of Gannan navel oranges has global significance. Especially in Africa and Europe, food safety and supply chain quality are critical issues. However, the existing Gannan navel orange logistics information management system relies on traditional databases and information systems, with insufficient data sharing and transparency, affecting the overall coordination of the supply chain and customer satisfaction. In addition, the traditional system is vulnerable to hacker attacks and malicious tampering of data by insiders, resulting in serious economic losses and reputation damage. So the blockchain platform constructed in this study improves the transparency and traceability of logistics data through the SMART-PBFT algorithm of the alliance chain, which optimizes the logistics management process, improves the quality of logistics services, and reduces operating costs. It improves the logistics efficiency and data transparency of local agricultural products, and also provides a demonstrative case for the cold chain management of other high-value agricultural products around the world, with broad application potential and reference value. [ABSTRACT FROM AUTHOR]

Objective To understand the epidemiological characteristics of non-occupational carbon monoxide poisoning incidents in Beijing from 2018 to 2022, and to explore targeted prevention and control measures. Methods The data were from the National Public Health Emergency Reporting Management Information System. Descriptive epidemiological methods were used to analyze non-occupational carbon monoxide poisoning incidents in Beijing from 2018 to 2022. Relative risk (RR) was used to assess the risk of morbidity and mortality. Results From 2018 to 2022, a total of 1841 non-occupational carbon monoxide poisoning incidents were reported in Beijing, with 2729 cases of poisoning and 31 deaths. The annual morbidity and mortality were 25.14 and 0.29 cases per million, respectively. There were two peaks of poisoning cases in spring and winter, accounting for 49.98% and 24.00% of the total cases, respectively. The highest incidence occurred between 8 and 11 o 'clock, accounting for 22.83%. In the inner suburbs, outer suburbs and urban areas, the incidence of non-occupational carbon monoxide was 0.96 cases/100 000, 1.27 cases/100 000 and 18.79 cases/100 000, and the mortality was 0.02 cases/100 000, 0.02 cases/100 000 and 0.11 cases/100 000, respectively. The poisoning incidents mainly occurred in residential families in 1633 cases, accounting for 88.70%; This was followed by 118 restaurants, accounting for 6.41 percent. The proportion of household poisoning incidents decreased from 92.10% in 2018 to 84.13% in 2022. The proportion of poisoning incidents in restaurants increased year by year from 4.23% in 2018 to 10.05% in 2022. The proportion of poisoning cases occurring at home decreased from 86.39% in 2018 to 71.84% in 2022. The proportion of poisoning cases in restaurants increased from 9.88% in 2018 to 20.57% in 2022. Conclusion The incidence and death risk of non-occupational carbon monoxide poisoning in Beijing is not balanced among regions, and the proportion of poisoning incidents in restaurants is increasing year by year. Targeted measures should be taken to strengthen the prevention and control work in the outer suburbs and key restaurants. [ABSTRACT FROM AUTHOR]

Background: Despite being preventable and curable, leprosy remains endemic in some undeveloped regions, including China. Wenshan Zhuang and Miao Autonomous Prefecture (Wenshan prefecture) currently bears the highest leprosy burden in China. In this ecological study, we aimed to analyze the epidemiological characteristics as well as identify and visualize the high-risk townships of Wenshan prefecture using the most updated leprosy data from 2010 to 2022. Methods: Geographical information system combined with spatial scan statistics was used for newly detected leprosy cases abstracted from the Leprosy Management Information System in China. Global Moran's I index was used to uncover the spatial pattern of leprosy at the township level. Spatial scan statistics, encompassing purely temporal, purely spatial, spatial variation in temporal trends, and space-time analysis, were implemented for detecting the risk clusters. Results: Between 2010 and 2022, Wenshan prefecture detected 532 new leprosy cases, comprising 352 (66.17%) males and 180 (33.83%) females. The aggregated time primarily occurred between October 2010 and March 2014. The distribution pattern of newly detected leprosy cases was spatially clustered. We identified four high-risk spatial clusters encompassing 54.51% of the new cases. Furthermore, spatial variation in temporal trends highlighted one cluster as a potential high-risk area. Finally, two space-time clusters were detected, and the most likely cluster was predominantly located in the central and northwest regions of Wenshan prefecture, spanning from January 2010 to September 2013. Conclusions: In this ecology study, we characterized the epidemiological features and temporal and spatial patterns of leprosy in Wenshan prefecture using the most recent leprosy data between 2010 and 2022. Our findings offer scientific insights into the epidemiological profiles and spatiotemporal dynamics of leprosy in Wenshan prefecture. Clinicians and policymakers should pay particular attention to the identified clusters for the prevention and control of leprosy. [ABSTRACT FROM AUTHOR]

Nowadays, medical devices are widely used around the world. In every country, the safety of these devices is inextricably related to public health and security. Despite all these sensitivities and legal oversight, issues such as lack of transparency in the medical device supply chain, lack of real feedback from incidents and clinical reports related to these devices, and consequently the failure to update risk management systems and improve the quality of these devices, resulting in increased safety risks for users/patients. Therefore, the development and implementation of an effective post-market surveillance and management system for medical devices is essential. In this article, in addition to a review of some applications of blockchain technology in the health sector, the requirements and structural framework for an information and management system for post-market surveillance of medical devices based on this technology were also presented. This system was developed with the approach of tracking medical devices to enhance transparency, provide rapid information dissemination, and reduce the rate of adverse incidents, and clinical reports related to these devices throughout their supply chain. A blockchain-based post-market surveillance system for medical devices could provide all stakeholders with valuable and real recommendations and information in the form of smart contracts by ensuring complete informational transparency throughout the supply chain. Blockchain technology could be used by regulatory and oversight organizations to effectively monitor and manage the performance of medical devices, ensuring greater transparency, and thereby guaranteeing enhanced safety and quality for stakeholders. [ABSTRACT FROM AUTHOR]