Management Model Research Articles

HHP model of management: comparing managerial approaches across the United States, Europe, Japan, and China

HHP model of management: comparing managerial approaches across the United States, Europe, Japan, and China

Novel computational intelligence-based model for effective traffic management in intelligent transportation system

<p><span lang="EN-US">The evolution of intelligent transportation system (ITS) is essentially meant for upgrading the driving experience with more safety and accessibility of various analytical information from its extensive network. However, a significant gap is observed that doesn't cater up the complete demands of ITS. It has been also noted that computational intelligence (CI) based approach is slowly gaining pace in solving the transport related problems in ITS as compared to its other counterpart existing methodologies like artificial intelligence. The proposed manuscript introduces a novel computational framework towards assisting in relaying routing and navigational services using CI-based approach. A design of novel navigational controller unit is presented for global ITS scenario towards yielding an optimal decision of routing. The CI-based approach is implemented by integrating fuzzy process with evolutionary searching, learning and probability theory in most simplified form. The study also introduces a novel concept of relaying decision as feedback from navigational controller unit to specific vehicular node discretely unlike existing traffic controller system with an agenda to offer faster and effective clearance of queued vehicular nodes from target area. The study outcome shows higher consistency in its relay with better performance from existing study model in ITS.</span></p>

ECONOMIC AND LEGAL ASPECTS OF THE ANTI-CRISIS MANAGEMENT OF THE STAFF POTENTIAL OF THE ENTERPRISE UNDER THE CONDITIONS OF STRENGTHENING PROCESSES OF FORCED LABOR MIGRATION

The purpose of the article is to identify the problematic economic and legal aspects of anti-crisis management of the personnel potential of the enterprise in the conditions of strengthening the processes of forced labour migration of the population. The results obtained in the course of the research allow us to ascertain the significant impact on the activities of economic entities of modern challenges and dangers, which cause significant destructive changes in the labour resource management system of enterprises as a result of the threatening increase in the scale of forced labour migration, which exacerbates the shortage of personnel at domestic enterprises. and through the intensification of mobilization measures, which cause the movement of the economically active and highly qualified labour force to the structures of the defence forces and the Armed Forces of Ukraine. The article analyzes the essence, features and interrelationship of the anti-crisis management of the personnel potential of the enterprise with the processes of forced labour migration of the population. It has been established that forced labour migration is a destabilizing factor in enterprise activity and creates prerequisites for the emergence of crisis situations. It has been proven that forced labour migration has a significant negative impact on the formation of labour resources of domestic enterprises, which causes a shortage of highly qualified workers. It was found that the processes of forced labour migration within the regions continue to intensify in Ukraine. In order to overcome crisis situations at the enterprise regarding the management of personnel potential, the most appropriate measures are proposed and substantiated. The model of anti-crisis management of the personnel potential of the enterprise in the conditions of strengthening the processes of forced labour migration of the population is substantiated and proposed.

Assessment of the Effect of Implementing an Obesity Center of Integrated Responsibility on Hospital Performance in Portugal

The continuous increase in the prevalence of obesity has generated growing concern, having become an important challenge at a global level in economic and public health terms. In Portugal, the treatment of obesity presents significant problems in access to health services. In this context, there is a need to implement new management models that offer more effective responses. Centers of integrated responsibility, already implemented in this area, are a cutting-edge approach, and it is important to evaluate their performance and identify recommendations for improving the model. The main objective of this study is to assess the impact of implementing an obesity center of integrated responsibility on hospital performance. This study was conducted using a comprehensive multiple-case study approach, which was predominantly descriptive but also included explanatory elements. The methodological approach is a well-balanced mix of quantitative and qualitative analyses. The study evaluates various hospital performance indicators, encompassing the dimensions of access, production, efficiency, quality, and economic-financial, both before and after the implementation of the new model. The overall results indicate that the implementation of an obesity center of integrated responsibility led to improvements in hospital performance, particularly in the dimensions of access, production, and efficiency. While these findings are promising, the study also identifies areas for potential improvement in the model, such as organizational, functional, and legal aspects, including the method of granting incentives and the funding process. In the analyzed cases, this new organizational model proved to be a solution for improving hospital performance, particularly around obesity. These units can play a fundamental strategic role in the National Health System, contributing to access to specialized treatments, retention of professionals and financial sustainability.

A biologically driven model for rural wastewater management: feasibility and efficiency of algal-bacterial biofilm reactors for combined treatment and algae farming

A biologically driven model for rural wastewater management: feasibility and efficiency of algal-bacterial biofilm reactors for combined treatment and algae farming

Ethical and social incentives for the transformation of the business model of enterprise management in conditions of sustainable development

Ethical and social incentives for the transformation of the business model of enterprise management in conditions of sustainable development

Application of Individual Case Management Nursing Model in Blood Lipid Management of Patients with Coronary Heart Disease

Objective: To explore the effect of the case management nursing model on lipid management in patients with coronary heart disease. Methods: Coronary heart disease patients admitted to the cardiology department of a tertiary hospital in Henan Province from April 2023 to March 2024 were randomly divided into a conventional care group and a case management group. The case management model was implemented, and a 3-month follow-up was conducted. Data were collected and analyzed. Results: There were no statistically significant differences in baseline data between the two groups. After 3 months of case management, the case management group showed better medication adherence, greater reductions in lipid levels, and higher lipid control rates. Conclusion: The case management nursing model can improve medication adherence and lipid control rates in patients with coronary heart disease.

Collaborative forecasting management model for multi‐energy microgrid considering load response characterization

Collaborative forecasting management model for multi‐energy microgrid considering load response characterization

STRATEGIES TO IMPROVE THE QUALITY OF EDUCATION

Schools as a leading institution in carrying out the development of the quality of education must be able to provide the right capacity in creating good graduates, for that we need an appropriate management model so that schools can carry out their functions properly. Efforts to improve to achieve quality education are not only fulfilling the input and output aspects, but more importantly the process aspect, which means decision making, program management, institutional management process, teaching and learning process and monitoring and evaluation process with a note that the process teaching and learning has the highest level of importance compared to other processes. And also must have a strategy to improve the quality of education in any way so that education is more creative and innovative.

Stochastic Resilience in Operations Management Using Ito Diffusion and Gamma Catastrophe Processes

This study introduces a novel Ito diffusion model for operations management, addressing the challenge of maintaining resilience in supply chains and production networks against unpredictable disruptions. The model incorporates a general catastrophe process with a low occurrence rate, using stochastic methods to represent disruption magnitudes as gamma distribution variables. It provides an analytical framework detailing the process's mean, variance, and sample path. Applying this model across various operational scenarios demonstrates its practical significance. By examining the impacts of disruptions on operational efficiency, the model offers insights into disruption dynamics, crucial for resilience planning and risk mitigation. The findings enhance logistics networks' resilience and efficiency, aiding decision-makers in navigating disruptions. This research presents a practical tool for decision-making in operations management and sets the stage for future research with complex variables and emerging technologies to enhance predictive strength in a dynamic environment.

Derivation of Coastal Erosion Susceptibility and Socio-Economic Vulnerability Models for Sustainable Coastal Management in Senegal

Coastal erosion has posed significant challenges to sustainability and socio-economic stability along Senegal’s coastline, leading to substantial infrastructure losses. Using GIS multi-criteria decision analysis (MCDA), two sub-indices were derived for Senegal’s coastal departments: the physical susceptibility (PSI) and the social-economic vulnerability (SVI) to coastal erosion. The integrated coastal erosion vulnerability (ICER) model was derived by their aggregation. A total of 26 criteria were used, 18 for PSI and 8 for SVI. The criteria weighting coefficients of the sub-indices were determined using the analytic hierarchy process (AHP). Validation of the model accuracy was performed using receiver operating characteristic (ROC) curves that were calculated based on a created coastal erosion cadaster and true positive (TP) sites and manually acquired true negative (TN) sites. The accuracy assessment confirmed the consistency of the physical susceptibility model (PSI) and proved that existing coastal erosion sites are within (5) very high susceptibility areas. Through the generated ICER, the coastal departments were divided into areas of (1) very low, (2) low, (3) medium, (4) high and (5) very high vulnerability to coastal erosion. Very high (5) and high (4) classes cover around 31% of the coastal departments, mostly encompassing a narrow coastal strip and low river valleys and mouths. The presented coastal susceptibility and vulnerability maps, with a spatial resolution of 30 m, identified problematic areas in Senegal’s coastal departments and can help decision-makers in the construction of effective coastal zone management and sustainable development.

Research on the Challenges and Solutions for Ethnic Tourism Service Management in Xichang City, Liangshan Prefecture in the Regional Tourism Era

With the advent of the regional tourism era, ethnic tourism service management in Xichang City, Liangshan Prefecture, faces new challenges and opportunities. This paper provides an in-depth analysis of the current state of ethnic tourism service management in Xichang City, identifying existing issues such as uneven service quality, an imperfect management system, and the need for improved professional quality among service personnel. To address these problems, the paper proposes several countermeasures, including establishing a service system oriented toward tourists’ needs, enhancing professional training for service personnel, and optimizing the management model for tourism service quality. The study aims to promote the sustainable, rapid, and healthy development of tourism in Xichang City, Liangshan Prefecture, and contribute to the prosperity of tourism in Sichuan Province by improving the management level of ethnic tourism services.

Predicting Tourist Arrivals: A Google Trends-Based Model for Destination Management

In this paper, a review of the scientific literature on the importance and knowledge of the tourist destination for the formation of a correct strategy for its development and promotion is made. The possibility of managing the tourist destination by modeling with Google Trends data is represented. A review of studies using the mentioned tool in the field of tourism is conducted. The potential benefits of using Google Trends data on searches for a city as a keyword in combination with archival data are summarized. The possibilities for modeling the visits of tourists using data from Google Trends are investigated, as a result of which a model is built by applying polynomial regression to predict the overnight stays of foreign citizens in the city of Veliko Tarnovo based on archival data from the National Statistical Institute and Google Trends data. Through data analytics with Google Trends, it is concluded that key value is created for the external and internal environment, influencing the destination. The data creates conditions for the development of management strategies for attracting tourists based on primary and secondary data for analysis. The application of the received data sets through data analysis are also important for tourism organizations and institutional bodies in tourism (macro- and meso-level). The resulting analysis affects issues related to the management and marketing of the destination, and on the other hand, it directly affects the segmentation of the market and the distribution of products and services to the end user (micro level).

The Dilemmas and Practical Exploration of Undergraduate Education Management in Universities in the Era of Big Data

In the context of rapid information development, massive data provides important support for society’s technological development and innovation. The management of undergraduate education in universities involves various industries, and the traditional education management model is no longer suitable for the needs of management departments and educational institutions. Therefore, universities should combine the characteristics of education management majors and continuously promote the high-quality development of education management in the context of big data. However, from the current situation, there are still many shortcomings in managing undergraduate education in universities. In this regard, this article will start with the current difficulties in undergraduate education management, analyze and explore the practical path of undergraduate education management in universities in the era of big data to provide effective suggestions for developing universities.

Application of Integrated Medical Care “Cloud-Based Virtual Ward” Management Model on Postoperative Analgesia: Based on Zigbee Technology

PurposeThis study aimed to compare acute care postoperative patients monitored by standard care to those monitored through virtual ward technology by pain team to evaluate status in real-time. DesignRetrospective cohort study. MethodsWe included 72,240 and 68,424 postoperative patients who underwent the acute pain service model between January 2021 and April 2022 and the “cloud-based virtual ward” management model between May 2022 and September 2023, respectively. Patients were administered patient-controlled intravenous analgesia after surgery, and we collected perioperative data regarding the general condition, operation type, postoperative moderate-to-severe pain, nausea and vomiting, dizziness, hoarseness, and drowsiness of the patients. ResultsThe incidences of moderate-to-severe postoperative pain, postoperative nausea and vomiting, dizziness, drowsiness, hoarseness, resting pain, and activity pain were significantly reduced in the “cloud-based virtual ward” management model when compared with the acute pain service model. ConclusionsCompared to the acute pain service model, the “cloud-based virtual ward” management model can enhance pain management satisfaction and lower the frequency of moderate-to-severe postoperative pain and adverse effects. Clinical ImplicationsThe “cloud-based virtual ward” management model proposed in this study may improve the care of patients with acute postoperative pain. By reviewing the two pain management models for postoperative patients, we were able to compare the incidence of postoperative adverse reactions and use the standard process of the integrated medical care “cloud-based virtual ward” management model to optimize the management of postoperative patients and promote their health outcomes.

The principle of optimality in dynamic programming: A pedagogical note

The principle of optimality is a fundamental aspect of dynamic programming, which states that the optimal solution to a dynamic optimization problem can be found by combining the optimal solutions to its sub-problems. While this principle is generally applicable, it is often only taught for problems with finite or countable state spaces in order to sidestep measure-theoretic complexities. Therefore, it cannot be applied to classic models such as inventory management and dynamic pricing models that have continuous state spaces, and students may not be aware of the possible challenges involved in studying dynamic programming models with general state spaces. To address this, we provide conditions and a self-contained simple proof that establish when the principle of optimality for discounted dynamic programming is valid. These conditions shed light on the difficulties that may arise in the general state space case. We provide examples from the literature that include the relatively involved case of universally measurable dynamic programming and the simple case of finite dynamic programming where our main result can be applied to show that the principle of optimality holds.

A novel instrumentation approach for achieving in-situ temperature sensing of a Li-ion cylindrical cell under immersion cooling

Battery thermal management systems are critical for high-performance electric vehicles, where the ability to remove heat and homogenize temperature distributions in single cells and packs are key considerations. Immersion cooling, which immerses the battery in a dielectric fluid, can improve cooling efficiency compared to air cooling. However, stringent instrumentation standards make in-situ monitoring under immersion cooling a difficult challenge. This study proposes a novel cell instrumentation method based on the integrated combination of three O-rings, which for the first time achieves in-situ temperature sensing of batteries under oil-immersed cooling conditions. Reliability of the sealing system and instrumentation methodology is ensured by leakage tests and oil corrosion assessment. Data such as cell impedance and discharge capacity also support the success and reliability of the instrumentation process without affecting the battery performance. Compared with natural air cooling, immersion cooling can reduce the temperature rise during battery operation by >10 °C under high C-rate discharge conditions. However, this is accompanied by an increase in radial temperature gradient. The temperature gradient of the cell with oil immersed reaches a maximum of >7 °C, while the temperature gradient under natural cooling under the same test conditions is only 3 to 4 °C. This leads to intensified temperature inhomogeneity of the cell, which may accelerate the local ageing and degradation. Our instrumentation approach contributes to a deeper understanding of the thermal behaviour of batteries under direct immersion cooling, aiding the development of more advanced cooling strategies and associated battery thermal management models.

Transforming Tofu Waste into Healthy Chips: An Innovative Model of Economic Empowerment for Rural Communities

This research focuses on empowering the people of Sambirampak Kidul Village through the use of tofu waste into products of economic value, namely healthy chips. The purpose of this study is to develop and test an intervention model based on technical training and the use of simple technologies in waste management, as well as to measure the impact of the program on improving economic well-being and environmental management in the village. The research method used is a qualitative method with a case study approach, which allows researchers to deeply explore the experiences and views of the community towards this empowerment program. The data was collected through in-depth interviews, participatory observations, and document analysis, and then analyzed using thematic analysis techniques to identify the main patterns and themes that emerged from the data. The results of the study show that this program has succeeded in changing the community's perception of tofu waste from just waste to an economically valuable resource, as well as increasing income and environmental awareness in Sambirampak Kidul Village. The implication of this study is the importance of community-based education and empowerment in creating a sustainable and economically profitable waste management model. This research also makes a significant contribution to the development of community empowerment models that can be applied in various regions with similar conditions

Fraud Management Model and Forensic Accounting – A Systematic Literature Review

This study interprets the importance of critical thinking and concern for the triggers of fraudulent behavior and financial fraud. The purpose of the study is expanded by explaining the application of fraud management as corporate governance to prevent fraud, and the involvement of forensic accounting practices is necessary. This study, a systematic literature review (SLR) by adopting part of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method, to identify, and construct a fraud management and forensic accounting model. The findings, fraudulent behavior occurs because there is a triggering factor, and someone has difficulty ignoring it. Psychologically it has taken root and rationalized the truth of fraud on the basis of pressure, opportunity supported by capability, such as triggers for fraudulent behavior in the fraud triangle model and the diamond fraud model. Synthesis of findings, it is important for internal control in fraud management to be applied for early detection and investigation and it is necessary to involve forensic accounting practices to detect, investigate accounting and litigation to resolve financial fraud in the financial data-based justice system. The novelty of this research offers a fraud management and forensic accounting model to prevent fraud and the financial condition of the company.

Longitudinal Care Management for Diabetes and Hypertension

Addressing common sources of chronic disease leads to improved patient health, as well as presenting a scalable target for the improvement of value-based care outcomes. Improving patients’ self-management skills and quality of life is the key goal of chronic disease management. Mitigating high-costs and slowing disease progression create mutual success for both patients and health care systems. By training nurses to deliver a refined model of longitudinal care management, Corewell Health West was able to achieve improved chronic disease control and create additional capacity among primary care providers. The initial focus of the longitudinal care program was diabetes and hypertension management. Corewell Health created a Multidisciplinary Approach to Disease Over Time (MADOT) framework to guide care management for patients with multiple chronic conditions or who are facing long recovery journeys. The framework emphasizes timely and actionable patient identification, regular contact between patients and health care staff that prioritizes patient goals and assesses their “readiness to change,” and specialized skills development for health care staff. The framework has shown success among patients with uncontrolled diabetes (A1c ≥8.0). Of the targeted interventions carried out for more than 1,000 patients since January 2022, 608 patients fully completed the program; these patients demonstrated an average 2.24-percentage point reduction in hemoglobin A1c. Of those 608 patients, 364 had a pre-intervention hemoglobin A1c level ≥9.0 and achieved an average 3.02-percentage point reduction in hemoglobin A1c. Similarly, patients who graduated from the program saw greater improvement in systolic blood pressure than patients who disenrolled or declined interventions.