Management Model Research Articles

Credit Risk Assessment and Financial Decision Support Using Explainable Artificial Intelligence

The greatest technological transformation the world has ever seen was brought about by artificial intelligence (AI). It presents significant opportunities for the financial sector to enhance risk management, democratize financial services, ensure consumer protection, and improve customer experience. Modern machine learning models are more accessible than ever, but it has been challenging to create and implement systems that support real-world financial applications, primarily due to their lack of transparency and explainability—both of which are essential for building trustworthy technology. The novelty of this study lies in the development of an explainable AI (XAI) model that not only addresses these transparency concerns but also serves as a tool for policy development in credit risk management. By offering a clear understanding of the underlying factors influencing AI predictions, the proposed model can assist regulators and financial institutions in shaping data-driven policies, ensuring fairness, and enhancing trust. This study proposes an explainable AI model for credit risk management, specifically aimed at quantifying the risks associated with credit borrowing through peer-to-peer lending platforms. The model leverages Shapley values to generate AI predictions based on key explanatory variables. The decision tree and random forest models achieved the highest accuracy levels of 0.89 and 0.93, respectively. The model’s performance was further tested using a larger dataset, where it maintained stable accuracy levels, with the decision tree and random forest models reaching accuracies of 0.90 and 0.93, respectively. To ensure reliable explainable AI (XAI) modeling, these models were chosen due to the binary classification nature of the problem. LIME and SHAP were employed to present the XAI models as both local and global surrogates.

Особенности управления изменениями в малом бизнесе

It is clarified that the essential content of the concept of “change” implies a certain procedural phenomenon, including awareness of the need for change, the implementation of change, and the consolidation of the result of change. Various types of changes are considered (there is no classical generally accepted classification yet), as well as the most popular models of change management and the use of these models in small businesses. The results of small business development in our country (modern characteristics and industry structure) are briefly analyzed and the main problems of small business development are formulated. The peculiarities of change management in small business are determined by the peculiarities of the small business itself, considered in the context of the study of the possibility of change management (sensitivity to change, flexibility, the need for innovation, working in a highly competitive environment, short-term existence, facilitated document management, quick reaction, corporate solidarity of staff, risk). For the first time, a feature of small business is highlighted – corporate solidarity of staff. The main features of change management in small business are considered. Communications on any communication platform are particularly important, the mandatory use of new technologies, the possibility of using various change management strategies, the publicity and openness of small businesses, the importance of continuous staff training, and the cascading formation of communication goals at all stages of change implementation are noted. The necessity of using various systems for evaluating the effectiveness of change management results is confirmed, since there simply is no unified system; The possibility, but limited use of Lean technologies is noted, since the reserves for reducing costs in small enterprises are always practically exhausted; certain features of change management in small businesses of various industry affiliations (manufacturing, construction business, services and trade differ in their economies, processes, sizes).

Community Participation in Flood Management Systems in Aceh Utara Regency

Flooding remains a persistent challenge in Aceh Utara Regency, representing a complex, cross-sectoral issue. If not addressed through collaboration among various stakeholders, including community groups, it has the potential to lead to new societal problems. This research seeks to assess the effectiveness and impact of using a participatory model in flood management efforts in the region. A qualitative approach was employed, gathering data through in-depth interviews with stakeholders such as local communities, government authorities, and non-governmental organizations involved in flood mitigation programs. The findings emphasize the urgency of adopting a participatory model to enhance the effectiveness of flood management systems. Actively engaging the community in planning, execution, and evaluation processes leads to a deeper understanding of local conditions, needs, and suitable solutions. Key aspects of the participatory model include raising public awareness of flood risks and mitigation measures, improving flood management infrastructure based on community input, creating more accessible and effective evacuation plans, and strengthening the community’s capacity for emergency response and simple mitigation efforts. In conclusion, this study aims to further explore the relevance and effectiveness of the participatory model in flood management in Aceh Utara Regency, ensuring the long-term sustainability of the region's disaster management system.

Feasibility of a nurse-led, mHealth-assisted, and team-based collaborative care model for heart failure care in India: Findings from a multi-stakeholder qualitative study

Background Heart failure (HF) management is often challenging due to poor adherence to GDMT and self-care. Continuous monitoring of patients by a dedicated care manager may enhance adherence to self-care and treatment and prevent hospitalisations. For the adoption and acceptance of a collaborative care model (CCM) for HF management in Indian settings, understanding the perspectives of all stakeholders regarding its various components and feasibility is needed. Therefore, we aimed to obtain perceptions of potential challenges to care and suggestions on multiple components of the proposed CCM in managing HF and its feasibility. Methods In-depth interviews were done among HF patients, caregivers, nurses, and cardiologists from private, co-operative, and public sector tertiary care hospital settings that cater to HF patients in Kerala, India. An in-depth interview guide was used to elicit the data. Data were analysed using Python QualCoder version 2.2. We used a framework method for the analysis of data. Results A total of 22 in-depth interviews were conducted. We found that the existing care for HF in many settings was inadequate for continuous engagement with the patients. Non-adherence to treatment and other self-care measures, was noted as a major challenge to HF care. Healthcare providers and patients felt nurses were better at leading collaborative care. However, various barriers, including technical and technological, and the apprehensions of nurses in leading the CCM were identified. The stakeholders also identified the mHealth-assisted CCM as a potential tool to save money. The stakeholders also appreciated the role of nurses in creating confidence in patients. Conclusions A nurse-led, mHealth-assisted, and team-based collaborative care was recognised as an excellent step to improve patient adherence. Effective implementation of it could reduce hospitalisations and improve patients' ability to manage their HF symptoms.

Медиаменеджмент как перспективный инструмент цифрового управления

The issues of studying the concept of media management from the point of view of its use as a tool for managing the digital transformation of business processes and the economy as a whole are considered. Approaches to the definition and content of the term “media management” are analyzed, the specifics and conditions for digitalization of the media market are explored. The key factors determining the further active development of media management and the media environment are identified, and the content of the digital transformation of the media market is revealed. The most relevant models of modern media management in digital management have been identified. The attention is paid to the study of such issues as key factors in the development of media management; media management as an integrated management tool; media as a tool for managing the digital economy; trends in digital transformation and development of media tools. Scientific works devoted to this problem have been studied. The characteristic features of media management as a modern methodology for managing business development and list promising ways to organize the management process, types and tools for using media in digital management are highlighted. An analysis of the current state of the media market is carried out, as well as a forecast for its further development within the framework of the domestic digital economy. The most promising areas of media management are proposed and key trends in media management are listed. Media management at its core is a direction of the digital economy, the transition to which has received significant attention as part of the development of the domestic system of expanded reproduction. Media management as a modern management tool is a rather multifaceted concept that largely determines the trends in the further development of the domestic media market and the digitalization of the modern economy. The growth of the media market contributes to an even more active digital reorientation of basic economic and business processes.

Integrated Community-Based Tourism for Balanced Regional Development: A Case Study of Kayutangan Area and Kampong Heritage in Malang City

The tourism sector holds the potential to act as a mechanism for achieving balanced development within a region. The collaborative efforts between Kayutangan and Kampong Heritage area, a partnership established since 2018, have brought about substantial economic benefits for the advancement of cultural tourism in Malang City. This research is aimed at assessing the sustainability of destination management in urban contexts, with a particular focus on Community-Based Tourism (CBT) practices. To conduct this study, an integrated approach has been adopted, involving interviews with various stakeholders, including destination managers, local business owners in the Kampong Heritage area, entrepreneurs in the Kayutangan area, and local residents. The data collected from these interviews has been subjected to analysis using Inskeep’s theory, complemented by an interactive model of community-based management. The findings of this study underscore several management aspects, particularly the capacity to effectively oversee and provide necessary tourism facilities. However, the results also reveal a noteworthy limitation. There appears to be a lack of collaboration between Kawasan Kayutangan and the Kampong Heritage, with management efforts seemingly fragmented. Furthermore, community engagement in the management process remains relatively minimal. Keywords: community based tourism; collaborative effort, community engagement

Caracterización y Análisis de la Calidad del Agua en Entornos Urbanos mediante la implementación de un Sistema Embebido con Tecnología IoT

This study aims to characterize and analyze water quality in urban environments using an IoT embedded system, focusing on San Camilo’s community of Quevedo, Ecuador, where population growth has increased the demand for drinking water. An embedded system was designed to make use of a microcontroller and sensors to monitor critical water quality parameters in real time. The collected data is transmitted to a cloud platform for storage, analysis, and visualization. Spearman's correlation coefficient was preferred for statistical analysis of the data. This allowed for the identification of patterns and relationships between the variables examined. The data revealed significant associations in non-linear data, facilitating a decision regarding the development of predictive models for water management and treatment. The results demonstrate the feasibility and efficiency of using IoT technologies in the continuous monitoring of water quality, offering a scientific basis for the collection and processing of relevant data on the quality of drinking water in residential areas, providing a robust tool to monitor public health and the comfort of the inhabitants.

Application of Optimization Models in Sustainable Supply Chain Management: A Systematic Review Based on PRISMA Guidelines

Application of Optimization Models in Sustainable Supply Chain Management: A Systematic Review Based on PRISMA Guidelines

Conversion therapy for unresectable hepatocellular carcinoma: Advances and challenges.

Recently, the World Journal of Gastrointestinal Oncology published an article entitled "Pathologically successful conversion hepatectomy for advanced giant hepatocellular carcinoma after multidisciplinary therapy: A case report and review of the literature", in which the authors shared their successful experience with complete surgical resection after multidisciplinary conversion therapy. The study by Chu et al demonstrates the great challenges that the advanced hepatocellular carcinoma (HCC) poses to surgical oncology, reveals the complexity of conversion therapy for unresectable HCC, emphasizes the important role of a multidisciplinary management model in conversion therapy, and enriches our understanding of the dynamics of personalized treatment for different patients. At present, conversion therapy is a hot research topic in the treatment of unresectable HCC, which has brought new hope to many patients with moderately advanced HCC. However, there are still many urgent problems to be solved in conversion therapy. Here, we would like to further discuss the advances and challenges of conversion therapy for unresectable HCC with the authors and the general readers.

Modeling transient mixed flows in sewer systems with data fusion via physics-informed machine learning

Transitions between free-surface and pressurized flows, known as transient mixed flows, have posed significant challenges in urban drainage systems (UDS), e.g., pipe bursts, road collapses, and geysers. However, traditional mechanistic modeling for mixed flows is challenged by the difficult integration of multi-source data, complex equation forms for the discovery of dynamic processes, and high computational demands. In response, we proposed a data-driven model, TMF-PINN, which utilizes a Physics-Informed Neural Network (PINN) to simulate and invert Transient Mixed Flow (TMF) in sewer networks. This model integrates experimental data, simulation results and Partial Differential Equations (PDEs) into its loss function, leveraging the extensive data available in smart urban water systems. A status factor (α) has been introduced to seamlessly link open channel and pressurized flow dynamics, facilitating rapid adjustments in wave speed. On this basis, Fourier feature extraction and quadratic neural networks have been employed to capture complex dynamic processes featuring high-frequency. Validation through three classical cases using the Storm Water Management Model (SWMM) and comparisons with finite volume Harten-Lax-van Leer (HLL) solver reveal that the proposed model circumvents the constraints of spatiotemporal resolution, yielding accurate flow field predictions.

Assessing Irrigation Efficiency Improvements in Paddy Fields Using Granular SWMM Simulations

As water scarcity intensifies due to climate change, improving the efficiency of agricultural water use has become increasingly critical. Current irrigation systems often experience significant water losses, especially in paddy fields in South Korea that largely rely on open-channel water supply networks. However, previous studies have simulated irrigation improvement strategies by aggregating multiple paddy fields into larger unites rather than modeling them individually, which limits the accurate representation of field conditions. To address this limitation, we applied a granular simulation approach, collecting detailed input data through field surveys. Using this granular model, the study evaluated strategies to enhance irrigation efficiency in paddy fields serviced by the Baekma Agricultural Reservoir in South Korea. We assessed four scenarios: the current open-channel system, conversion of open channels to closed conduits, installation of farm ponds, and a combination of closed conduits and farm ponds. These scenarios were simulated using the Strom Water Management Model (SWMM), meticulously configured to represent individual paddy fields and channel networks. The results show that converting open channels to closed conduits increased irrigation efficiency by 5.4% compared to the current open-channel system. Combining closed conduits with farm ponds achieved the highest efficiency, although the independent effect of farm ponds was minimal. These findings suggested that converting open-channels to closed conduits was a highly effective solution for reducing water losses, while farm ponds played a limited role. This study provides valuable insights into the development of precise irrigation strategies, offering a detailed assessment of real-world conditions in paddy fields.

Quantifying Influence: Propensity Score Matching Unravels the True Effect Sizes of Learning Management Models on Students’ Analytical Thinking

<p style="text-align:justify">Analytical thinking is crucial for developing problem-solving, decision-making, and higher-order thinking skills. Many researchers have consistently developed learning management models to enhance students' analytical thinking, resulting in extensive knowledge but lacking clear systematic summaries. This study aims to: (a) explore the effect sizes and research characteristics influencing students' analytical thinking, and (b) compare the effect sizes of learning management models after adjusting for propensity score matching. In exploring 131 graduate research papers published between 2002 and 2021, the research utilized forms for recording research characteristics and questionnaires for assessing research quality for data collection. Effect sizes were calculated using Glass's method, while data analysis employed random effects, fixed effects, and regression meta-analysis methods. The findings indicate that (a) research on learning management models significantly impacts students' analytical thinking at a high level (d̅ = 1.428). Seven research characteristics, including year of publication, field of research, level, duration per plan, learning management process, measurement and evaluation, and research quality, statistically influence students' analytical thinking, and (b) after propensity score matching, learning through techniques such as KWL, KWL-plus, Six Thinking Hats, 4MAT, and Mind Mapping had the highest influence on students' analytical thinking. Recommendations for developing students' analytical thinking involve creating a learning management process that fosters understanding, systematic practical training, expanding thinking through collaborative exchanges, and assessments using learning materials and tests to stimulate increased analytical thinking.</p>

Pengembangan Model Manajemen Pendidikan Islam Berbasis Teknologi untuk Meningkatkan Akses dan Kualitas Pendidikan

This research aims to create a management model that integrates technology effectively in the management and learning process in Islamic educational institutions, so that it can expand the reach of education to more students, including in remote areas, as well as improve the quality of education through the use of technology that supports interaction, collaboration, and learning innovation. A qualitative descriptive method was used in this study, the data collection technique used was a literature study, while the data obtained was analyzed by Miles & Huberman interactive analysis with a three-stage process, namely reduction and presentation of data and drawing conclusions. The results of the analysis found that the development of a technology-based Islamic education management model is important to improve access and quality of education in the digital era. Various technologies present in the development of the digital era help in interactive learning, accessibility, and student performance evaluation, as well as help develop digital skills and character according to Islamic values. With responsive management, Islamic educational institutions can adapt to changes while maintaining the holistic essence of education.

Application of Information Link Control in Surgical Specimen Near-Miss Events in a South China Hospital: Nonrandomized Controlled Study.

Information control is a promising approach for managing surgical specimens. However, there is limited research evidence on surgical near misses. This is particularly true in the closed loop of information control for each link. A new model of surgical specimen process management is further constructed, and a safe operating room nursing practice environment is created by intercepting specimen near-miss events through information safety barriers. In a large hospital in China, 84,289 surgical specimens collected in the conventional information specimen management mode from January to December 2021 were selected as the control group, and 99,998 surgical specimens collected in the information safety barrier control surgical specimen management mode from January to December 2022 were selected as the improvement group. The incidence of near misses, the qualified rate of pathological specimen fixation, and the average time required for specimen fixation were compared under the 2 management modes. The causes of 2 groups of near misses were analyzed and the near misses of information safety barrier control surgical specimens were studied. Under the information-based safety barrier control surgical specimen management model, the incidence of adverse events in surgical specimens was reduced, the reporting of near-miss events in surgical specimens was improved by 100%, the quality control quality management of surgical specimens was effectively improved, the pass rate of surgical pathology specimen fixation was improved, and the meantime for surgical specimen fixation was shortened, with differences considered statistically significant at P<.05. Our research has developed a new mode of managing the surgical specimen process. This mode can prevent errors in approaching specimens by implementing information security barriers, thereby enhancing the quality of specimen management, ensuring the safety of medical procedures, and improving the quality of hospital services.

Regional electricity cooperation model for cost-effective electricity management with an emphasis on economic efficiency

Effectively reducing the total electricity cost while ensuring its overall efficiency is vital for the sustainable development of power systems. Herein, we develop a regional cooperation optimization model to enhance the existing power cost model. This is achieved by incorporating power trading scenarios and pollution considerations, leveraging the distinct characteristics of power generation costs from various sources. The developed regional cooperation optimization model simultaneously accounts for production efficiency and overall power costs, ensuring equitable distribution and compensation of benefits among cooperating entities. In addition, the key findings indicate that the interregional cooperation optimization model significantly reduces the total cost of electricity operations in China. Specifically, during the 11th five-year plan period, the total electricity cost in China exhibited a noteworthy decline of USD 50,876 million owing to multi-objective cooperative optimization, constituting 25.99% of the total electricity cost compared with the preoptimization period. This study identifies the eastern and western regions as principal contributors to the cost savings achieved by the interregional cooperative optimization model. Simultaneously, recognizing their significant contributions, it is recommended that the eastern and western regions provide additional cost compensation to other regions to ensure the long-term viability of the cooperative alliance.

Stress management training program to address caregiver burden and perceived stress among family caregivers of patients undergoing hemodialysis: a randomized controlled trial study

BackgroundThe objective of the current study was to assess the effectiveness of stress management training, grounded in Lazarus and Folkman’s stress management model, on reducing caregiving burden and perceived stress among family caregivers of patients on hemodialysis.MethodsThis two-group clinical trial study was conducted in parallel design among 60 family caregivers of patients on hemodialysis in 2023. The participants were divided into two groups of training and control using a random quadruple block allocation method. The intervention took place over two months, in six online group sessions of 35–45 min. Zarit Burden Inventory (ZBI) and Cohen’s Perceived Stress Scale (PSS-14) were used to collect information before and two weeks after the intervention. The study data were analyzed using and analysis of covariance (ANCOVA), pair, and independent t-tests at a significance level of 0.05.ResultsAt baseline, the two groups exhibited homogeneity in terms of mean scores for caregiving burden (Training group = 50.8 ± 4.9; Control group = 49.1 ± 6.0; P = 0.264) and perceived stress (Training group = 32.8 ± 4.7; Control group = 31.5 ± 2.4; P = 0.192). Nevertheless, following the intervention, there was a significant decrease in caregiving burden (Training group = 45.9 ± 4.1; Control group = 49.0 ± 5.8; P = 0.017) and perceived stress (Training group = 28.0 ± 4.4; Control group = 30.7 ± 3.5; P = 0.01) scores within the training group compared to the control group.ConclusionBased on the findings of the current study, given that family caregivers of patients on hemodialysis encounter psychological distress and contend with the negative aspects of care, it is advisable to implement psycho-educational interventions, such as stress management training. Incorporating these interventions into the care plan for hemodialysis could help mitigate these adverse consequences and provide valuable support for family caregivers.Trial registrationIranian Registry of Clinical Trials (IRCT), IRCT20180728040617N6. Registered on 17/04/2023.

Research progress on community health management model for older adults with chronic diseases and multiple morbidities.

With the rapid ageing of the population, the number of older adults with two or more chronic diseases is increasing. There are individual differences in health assessment, diagnosis, treatment, health management, and medication safety for older adults with chronic conditions and multiple morbidities. Managing these conditions poses increasingly complex challenges for the healthcare system. Developing effective community health management models specifically designed for older adults with multiple chronic diseases is crucial for improving their overall health. This study provides a comprehensive review of the progress in research on community health management models for older adults with multiple chronic diseases, aiming to offer valuable insights for health management in this population.

Automatic Planning Method of Construction Schedule under Multi-Dimensional Spatial Resource Constraints

To enhance the application of building information modeling (BIM) in schedule management for engineering projects, improve spatial planning capabilities, and minimize subjective factors in schedule preparation, this paper presents a framework and method for automatic construction schedule planning based on BIM and data-driven approaches under multi-dimensional spatial resource constraints. The method includes data acquisition, construction process reasoning, time parameter calculation, and schedule generation and scheduling. Initially, the construction data from the BIM model and manual input are imported into the reasoning system to establish the logical relationships of the construction process. Construction time parameters and spatial resource requirements are then automatically calculated using MySQL. Subsequently, the spatial layout and resource allocation data exported from the BIM model are compared to assess whether the space meets the project requirements. Finally, a construction schedule that satisfies the space constraints is generated. The method was validated through a case study, demonstrating its effectiveness in automatic schedule planning under human-computer interaction. This study introduces an innovative approach that considers spatial conflicts in the automatic scheduling process, improving planning efficiency and reducing the risk of spatial conflicts on construction sites.

Research on the Strategy of Film and Television Operation Management Mode

At this stage, with the rapid development of the film industry, more and more film and television works have emerged, mainly films, TV series, and online dramas. The film industry is an important part of the cultural industry of various countries. Analysing the operation mechanism of the film production management model will help the prosperity and development of the film industry. The research is mainly about the operation and management mode of the film and television industry. It uses the methods of searching for literature, searching on the Internet, and finally summarises the steps and strategies of film and television operation. The operation steps of film and television mainly include four links: shooting, production, distribution, and screening. Each link is quite important and needs to be carefully arranged and operated, with a strong team and psychological quality to deal with various emergencies. It must invest much money and energy in every step to complete perfect work and create profits in the final release. The operation of film and television is still advancing and will continue to develop new models and update strategies to meet the development of the times.

Value Co-Creation Model for Sustainable Supply Chain: A Case Study of B2B Platforms Empowering SMEs

As the international community enters Digital Upgrade 3.0, small and medium-sized enterprises (SMEs), originally focused on offline business, are exposed to shortcomings such as insufficient capital, monolithic business models, the imbalance between supply and demand, and trust-building behaviors. To address these challenges, this study examines the role of the B2B platform model in facilitating the high-quality development of SMEs. Taking SMEs as the object of study, this study examines the role of the B2B platform model in promoting the high-quality development of enterprises. The impact of sustainable supply chain management and value co-creation theories on SMEs is analyzed by combining theoretical and practical cases. A case study of Alibaba's B2B platform 1688 reveals how the value co-creation model empowered by the platform promotes cooperation and innovation between SMEs and consumers. This study also explores the role of third-party logistics (3PL) in shaping the value co-creation model. Finally, this study provides recommendations for optimizing management models and enhancing collaboration to support the sustainable development of SMEs in the digital era.