Management Model Research Articles

Avoidant Restrictive Food Intake Disorder: A Case Series

Abstract Avoidant restrictive food intake disorder (ARFID), a recently described eating disorder categorized under DSM-5, has varied clinical presentations. The primary eating disorders have well-established practice parameters for management. However, there is no evidence-based first line of management for ARFID. There is a significant gap in this evolving construct and clinical practice. We present a case series from a tertiary care center in India, focusing on clinical management. Four adolescents with 3 girls and 1 boy between 12 and 17 years of age were included in the study. Diagnosis and management were delayed in all. Mean body mass index was 15.36 (5.26) kg/m2 at the time of diagnosis. Key drivers were dread of choking, sensory characteristics, and avoidance of unpleasant upper and lower gastrointestinal symptoms. This series supports a culturally cognizant hypothesis, an evidence based, viable management model for ARFID in low- and middle-income countries (LMIC). A combination of family-based treatment (FBT) and cognitive behavior therapy is an effective treatment model for India and other LMICs.

Role of Management Accounting in Financial Management in Agribusiness

In the business environment, the present work aims to point out the role of Management Accounting in the management of the company, defined as a fundamental tool in the decision-making process within organizations. To analyze the information generated that helps managers achieve organizational objectives, answers to the following problem were sought: What are the benefits of adopting Management Accounting in business management? In search of an answer, the objective was to identify the benefits of Management Accounting within the business management model. The methodology used in this work was field study and bibliographic research. Through a structured interview, 10 questionnaires were applied, consisting of 8 objective questions, directed to accountants and administrators or professionals responsible for management, in companies from different market branches. For the survey of the company's practical information to be confronted with the theoretical knowledge related to the subject. The results showed that Management Accounting together with management is a fundamental tool in the decision-making process

The comprehensive geriatric assessment in emergency and intensive unit settings

This review discusses the challenges that hospitals face when caring for older patients in emergency departments and intensive care units. Beyond chronic diseases, the older person is often affected by acute events, which require, in addition to the typical knowledge of emergency medicine and anesthesia, the holistic and targeted approach of the comprehensive geriatric assessment in the emergency room and intensive care setting. With Italy’s health centers struggling to manage the increasing pressure of patients, the COVID-19 pandemic has highlighted the need for a geriatric approach to address this challenge. This review outlines the Geriatric 5Ms Model of Care, which addresses five domains, and the Domain Management Model, which provides acute medical management.

Research on the Innovation Path of Enterprise Management Mode in the Era of Big Data

With the continuous development of the market economy and the advent of the big data era, traditional management models cannot meet the requirements for enterprise development, which poses certain obstacles to business growth. Therefore, enterprises must continuously leverage the commercial value embedded in the big data era to innovate their management models. In practical terms, internal managers and relevant personnel can innovate based on traditional management models, fully utilizing the advantages of big data to optimize and innovate enterprise management models. By utilizing information technology for extensive data analysis and integration, businesses can be guided in the right direction, provided with reasonable operational plans, and ensured safe decision-making, thereby achieving healthy and sustainable development. This approach enables enterprise management to keep pace with the progress of the times and enhances the role of management in business operations.

Key Indicators in Analyzing the Sustainability of Afghanistan's Natural Resources

This study examines the factors affecting the sustainability of Afghanistan's natural resources, aiming to provide a framework for sustainable development and poverty alleviation. Using the Analytic Hierarchy Process (AHP) and strategic planning models, key factors such as organizational structure, management, economic, social, cultural, and ecological aspects were identified and prioritized. The findings indicate that organizational and managerial structure is the most critical factor, accounting for 38% of the overall importance. The research underscores the necessity for integrated and systematic management of natural resources to enhance economic and social well-being. It also emphasizes strategic planning, monitoring, and evaluation as essential components for effective resource management. A proposed model for sustainable natural resource management includes community empowerment, knowledge integration, economic viability, and improved communication among stakeholders. The study suggests that Afghanistan can develop its natural resources sustainably by leveraging strengths and opportunities while addressing weaknesses and threats. A comprehensive understanding of the various influencing factors and their interactions is vital for designing an effective model for sustainable management. This research contributes to the discourse on sustainable development in Afghanistan, providing actionable insights for policymakers and stakeholders in the natural resource sector.

Framework model of syncretic management of innovative projects

The contemporary business landscape demands agility, innovation, and the seamless integration of diverse approaches. Traditional project management methods often struggle to adapt to this dynamic environment. This abstract introduces the framework model of syncretic management for innovative projects. Syncretic management emphasizes the unification of various elements to achieve a cohesive whole. In this context, it signifies a framework that blends methodologies and tools to optimize project outcomes. Key components include – Interdisciplinary Collaboration, Agile Methodologies, AI Integration. The syncretic management model offers several advantages – Enhanced Innovation, Improved Efficiency, Increased Adaptability. Reduced Risks: data-driven insights from AI facilitate proactive risk identification and mitigation strategies. Paper provides a concise overview of the syncretic management model for innovative projects. Subsequent sections will explore the core components of this framework in greater detail, delve into its practical applications, and discuss potential challenges and considerations for successful implementation.

Smart City Aquaculture: AI-Driven Fry Sorting and Identification Model

The development of smart agriculture has become a critical issue for the future of smart cities, with large-scale management of aquaculture posing numerous challenges. Particularly in the fish farming industry, producing single-sex fingerlings (especially male fingerlings) is crucial for enhancing rearing efficiency and could even provide key support in addressing future global food demands. However, traditional methods of manually selecting the gender of broodfish rely heavily on experienced technicians, are labor-intensive and time-consuming, and present significant bottlenecks in improving production efficiency, thus limiting the capacity and sustainable development potential of fish farms. In response to this situation, this study has developed an intelligent identification system based on the You Only Look Once (YOLO) artificial intelligence (AI) model, specifically designed for analyzing secondary sexual characteristics and gender screening in farmed fish. Through this system, farmers can quickly photograph the fish’s cloaca using a mobile phone, and AI technology is then used to perform real-time gender identification. The study involved two phases of training with different sample sets: in the first phase, the AI model was trained on a single batch of images with varying parameter conditions. In the second phase, additional sample data were introduced to improve generalization. The results of the study show that the system achieved an identification accuracy of over 95% even in complex farming environments, significantly reducing the labor costs and physical strain associated with traditional screening operations and greatly improving the production efficiency of breeding facilities. This research not only has the potential to overcome existing technological bottlenecks but also may become an essential tool for smart aquaculture. As the system continues to be refined, it is expected to be applicable across the entire life cycle management of fish, including gender screening during the growth phase, thereby enabling a more efficient production and management model. This not only provides an opportunity for technological upgrades in the aquaculture industry but also promotes the sustainable development of aquaculture. The smart aquaculture solution proposed in this study demonstrates the immense potential of applying AI technology to the aquaculture industry and offers strong support for global food security and the construction of smart cities.

Design and Optimization of Tourism Information Management System Based on Artificial Intelligence

This study aims to implement a tourism information management system based on the concept of Smart Tourism. As the people's living conditions have improved, the traditional model of tourism management failed to match the customers' demands, because it has some flaws such as low efficiency. Integrating AI with tourism management helps to meet clients' needs with smarter and more comfortable accommodations before, during, and after their trip. This study optimizes the artificial neural network (ANN) by utilizing long short-term memory (LSTM) to address its inherent faults, such as delayed convergence, easy oscillation, and falling into local minima. The experimental findings demonstrate that this algorithm achieves a recall rate of 99.6% and a prediction accuracy of 98.2%. This algorithm offers some useful recommendations for tourist management while avoiding the pitfalls of more conventional algorithms. In addition, this study extends the idea of "smart tourism" to particular forms of tourist informatization, which has the potential to boost the tourism industry's overall development level by facilitating structural upgrades and transformations.

Systematic Literature Review on Machine Learning Deep Learning and IOT-based Model for E-Waste Management

This article provides a comprehensive review of existing research on machine learning, deep learning, and IoT-based models for smart e-waste management. The main objectives are to support research, facilitate other researchers in finding relevant studies, and propose future research areas within this domain. Additionally, it offers stakeholders, organizations, and government bodies valuable insights into smart e-waste management based on research-driven knowledge of implementation strategies. The review results indicate that the most frequently studied areas are motives, critical success factors, implementation status, and benefits. Each of these areas would benefit from further exploration.

Suburban Runoff Modeling for Seasonal Water Management in Rice Paddy Fields: An Elaborated Application of Unmanned Aerial Vehicle Photogrammetry

Suburban Runoff Modeling for Seasonal Water Management in Rice Paddy Fields: An Elaborated Application of Unmanned Aerial Vehicle Photogrammetry

Sustainable Tourism Development: A Model of Adaptive Destination Management in Lampung Province, Indonesia

Sustainable Tourism Development: A Model of Adaptive Destination Management in Lampung Province, Indonesia

The process of dangerous event management taking into account economic, environmental and occupational losses

Aim of the research is in risk management process development of a dangerous event taking into account economic, environmental and professional losses.Materials and methods. To develop the process of risks management from various dangers through the integration of their losses (economic, environmental, life and health of employees), we take the most common model "bow tie", which allows to establish a cause and effect relationship between danger – a dangerous event and the severity of the consequences.Results. As a result of the research, it was found that each hazard must be considered based on three different types of damage. This makes it possible to implement another mechanism for identifying the most significant dangerous factors that lead to significant general economic losses. In the case of risk acceptability from each individual dangerous factor, there is an additional opportunity to analyze them based on the relationship between financial activity, economic and professional losses. The second consists in determining the limits of the acceptability of risks, which are formed not only based on the total acceptable economic losses, but also taking into account the stability of the enterprise's work. This implies the need to actively invest in new technologies based on short-term and long-term perspectives. The main types of dangers are defined in the risk register, which is developed by the organization to determine the integration of dangers consisting of natural, technogenic, environmental, occupational and economic groups of dangers and dangerous factors. The authors develop the model and algorithm of risk management based on the combination of different consequences of dangers in economic, environmental character, life loss and health.Scientific relevance. The article determines the relationship between the probability of a dangerous event and the severity of different types of consequences – economic, environmental and occupational dangers through the analysis of Euler-Venn diagrams.Practical relevance. The authors develop the basic principles of risk management of different types of losses: economic, environmental ones, loss of life and health of employees.

THE EXPERIENCE OF AGGLOMERATION DEVELOPMENT IN CHINA AND KAZAKHSTAN

This article examines the experience of agglomeration development in China and Kazakhstan. It reviews the history of formation and approaches to defining the concept of urban agglomeration, including the definition of urban agglomeration by Chinese scholars. Forecasts are presented for metropolitan areas around the world and in China. In the practice of agglomeration development in China today, five urbanization belts and nineteen major urban agglomerations are outlined. The transfer of "non-capital functions" from the Chinese capital to Hebei Province is transforming Xiong'an into a center of innovation. The set of special measures used by the Chinese authorities to stimulate the development of megalopolises and agglomerations is considered. Characteristics of the functioning of China's urban agglomerations are presented, as well as their advantages and disadvantages. The experience of agglomeration development in Kazakhstan at the legislative level is studied, and attention is paid to the introduction of a new model of agglomeration management in the country, which gives regional administrations basic, additional powers and responsibilities for agglomeration development. The imbalances around the major cities and the main factors contributing to these imbalances are considered. The need for the formation and development of agglomerations as points of economic growth of the country and their effective positioning according to the level and specialization of their development is substantiated. Based on the analysis of the development of agglomeration processes in Kazakhstan, the advantages and disadvantages of urban agglomerations are presented. Suggestions are made on the directions of their further development.

Logistics supply of the eco-industrial parks’ residents

This paper provides a comprehensive analysis of the logistics supply for residents of eco-industrial parks and examines its influence on the competitiveness and sustainability of these parks. Eco-industrial parks, as integral components of circular economy systems, facilitate the efficient use of resources, reduction of environmental impact, and optimization of supply chain operations. The purpose of the paper is to assess the logistics systems within eco-industrial parks, identify the challenges and opportunities for enhancing operational efficiency, and explore how these strategies can be adapted to the Ukrainian context, particularly during the ongoing war. The research draws upon international case studies, focusing on the integration of advanced technologies and green logistics practices in China, Europe, and other regions. The methodology used in this paper combines inductive analysis of literature, comparative analysis, and empirical research based on existing models of logistics management within EIPs. A key part of the analysis involves the evaluation of institutional pressures and their role in promoting sustainable supply chain management. The paper examines how these practices, when applied in a coordinated and efficient manner, help to reduce costs and carbon emissions, while also improving resource-sharing between companies located within eco-industrial parks. The results show that implementing circular supply chain management significantly enhances the performance of companies operating within EIPs. Firms that adopt renewable energy sources and optimize their transportation systems using electric vehicles report a 13-14% reduction in operational costs and carbon emissions. The integration of technologies such as Geographic Information Systems and Multi-Criteria Decision-Making tools has also proven beneficial in the site selection and planning of eco-industrial parks, allowing for the optimization of logistics and resource allocation. In Ukraine, which is currently facing critical challenges due to war, adopting these strategies can strengthen industrial clusters, reduce dependence on external resources, and enhance resilience against economic shocks. The scientific novelty of this research lies in the proposed structure of the logistics supply for eco-industrial parks’ residents. The practical implications of this paper include the application of green logistics technologies, the development of self-sustaining energy networks, and the implementation of closed-loop supply chains that promote resource efficiency. Future research directions should focus on the development of logistics optimization models for Ukrainian eco-industrial parks, particularly in war-torn areas, and the assessment of their long-term economic and environmental impact. Additionally, the paper advocates for the expanded use of renewable energy sources and Geographic Information Systems-based planning tools to further improve logistics processes and reduce the ecological footprint of industrial activities. The results of this paper underscore the importance of inter-firm cooperation and the strategic use of logistics to foster both economic and environmental resilience in eco-industrial settings.

Measurement model for community enterprise management strategies

Community enterprises in Thailand are facing a highly competitive marketing challenge, an inability to hand on business to the next generation, and a lack of a flexible goods production system. This study aims to develop a measurement model for community enterprise management by surveying the expectations of 500 entrepreneurs in a community enterprise group using a questionnaire. This study uses exploratory factor analysis and confirmatory factor analysis. The objective is to develop critical strategies for overcoming obstacles and creating sustainability for organizations, comprising eight dimensions: product design management, production management, logistics management, product quality and standard management, marketing management, knowledge management, service quality management, and organization management. The study results can be used to effectively solve and improve the community enterprise's operation and continuously develop it per the entrepreneur's expectations. Moreover, the government sector can use this method to determine the policy toward supporting more sustainable community enterprises The government can also use this approach to set policies, promote the creation of an environment conducive to community enterprise operations, and create added value for community businesses through the identity of the area to support community enterprises to be more sustainable.

Implementing the OBE Model in Plastic Waste Management Using the 4R EPR Pattern for Green Campus

Implementing the OBE Model in Plastic Waste Management Using the 4R EPR Pattern for Green Campus

API management and cloud integration model for SMEs

In the rapidly evolving technological landscape, Small and Medium-sized Enterprises (SMEs) face significant challenges in maintaining efficient and scalable IT systems. This review outlines a strategic model for API management and cloud integration designed to enhance system performance and optimize cloud-native features. The proposed model focuses on the redesign and optimization of Application Programming Interfaces (APIs) to leverage cloud capabilities effectively, addressing common issues faced by SMEs in system integration and performance. The model begins with a comprehensive assessment of existing API architectures to identify inefficiencies and performance bottlenecks. It emphasizes the need for a cloud-native approach, which includes the adoption of microservices architecture and serverless computing. By redesigning APIs to align with cloud-native principles, the model aims to achieve greater scalability, flexibility, and responsiveness in handling varying workloads. Key components of the model include API versioning strategies, improved security protocols, and enhanced data management practices. The integration of cloud-native features such as containerization, orchestration, and automated scaling ensures that APIs are optimized for performance and reliability. This approach not only streamlines system operations but also reduces the overhead associated with traditional server-based architectures. Furthermore, the model incorporates best practices for continuous integration and continuous deployment (CI/CD), facilitating seamless updates and maintenance of APIs. It also includes monitoring and analytics tools to provide real-time insights into API performance and user interactions, enabling proactive management and optimization. By implementing this strategic model, SMEs can achieve significant improvements in system performance, reduce latency, and enhance overall cloud integration. The model supports the efficient utilization of cloud resources, leading to cost savings and improved operational efficiency. This approach positions SMEs to better compete in the digital economy by leveraging advanced technologies and optimizing their IT infrastructure.

Некоторые выводы из анализа теории и практики управления экономикой в условиях жесткой схватки с неолиберализмом

This article attempts to systematically study the pseudo-market economy of the neoliberal type, which was operating in the country and which was actually subordinated to the interests of globalists with the help of financial and foreign economic instruments. On the basis of institutional analysis of the results of practical implementation of theoretical postulates of economic theory, the real efficiency (or rather, inefficiency) of the country’s economy, built as a raw materials appendage, as a technological backyard of developed countries, is clarified, and the conclusion about the need to restructure the entire economic mechanism, focused on the unconditional priority of national interests in socio-economic development is substantiated. The authors prove that real progress in the Russian Federation is associated with the transition to strategic management of the national economy, strengthening of centralized processes that allow to concentrate available resources on the main directions of economic and social growth, as well as strengthening the defense capability of the state in the conditions of hybrid war of the collective West against Russia. This is what should be the focus of the emerging model of management of the national economy, capable not only to resist economic pressure, but also to really ensure the achievement of national goals.

The fire hazard preparedness of special needs schools in the North West Province, South Africa

Fire disaster preparedness has been reported as critical in schools, especially for schools that have learners with special needs. This study, therefore, through a quantitative research approach, collected data from 88 participants across nine special needs schools (SNS) in the North West Province of South Africa to assess the fire preparedness of these schools. Data were collected using a structured questionnaire. The study applied descriptive and inferential statistics using R Statistical Software package to analyse questions that gauged the fire preparedness of the sampled schools. Four generalised linear and one ordinal regression models were applied to the data and found statistically significant differences for some predictors across the four applied GLMs. Significant results were found for the school fire safety management model applied to the Disaster Preparedness Strategy framework (χ2 = 206.7; p = 0.01; R2 = 90.5%). However, a significant difference was only found in the question of early warning systems across the eight predictor variables for the framework.Contribution: The maintenance and recordkeeping model showed significant results in terms of record maintenance and the frequency of fire safety equipment inspections. While compliance with specific fire safety regulations is essential, broader engagement and continuous improvement in early warning systems are necessary for a more resilient disaster preparedness strategy. This study addresses a critical gap in understanding and improving fire hazard preparedness in these schools. The authors therefore recommend intervention from the authorities to assist these schools to prepare for fires.

Enhancing Higher Education Sustainability Through Quality Management Models

Higher education, as part of the service sector, faces significant challenges in managing its systems effectively. To remain competitive and foster growth, private universities require sustainable models that enhance their quality and operational efficiency. This research explores sustainability models for private universities by conducting field surveys and distributing online questionnaires. Data analysis was performed using descriptive statistics and Structural Equation Modeling (SEM). The descriptive analysis highlights key demographic and behavioral characteristics of the respondents, while SEM reveals relationships and factors influencing customer satisfaction and loyalty. Results show that planning, governance, and administration significantly impact education quality, which directly influences the sustainability of private universities. The study also finds that the roles of students, alumni, reputation, and cooperation are crucial in maintaining long-term institutional sustainability. These findings offer practical insights for improving education quality and formulating strategies for private universities to achieve sustainable development.