Management Model Research Articles

Advanced risk management models for supply chain finance

This review paper delves into the transformative potential of advanced risk management models in enhancing the resilience and efficiency of supply chain finance (SCF). By examining the application and development of Artificial Intelligence (AI), Machine Learning (ML), Big Data analytics, and blockchain technology, the paper highlights their role in transitioning from traditional reactive strategies to proactive and predictive risk management approaches. Despite the promising advantages, the paper also addresses the significant implementation challenges, model limitations, and regulatory and ethical considerations accompanying these technological advancements. Recommendations for effective deployment and areas for future research, particularly in overcoming existing hurdles and exploring emerging technologies, are also discussed. This comprehensive analysis aims to guide academics, industry professionals, and policymakers in harnessing advanced risk management models for a more robust SCF ecosystem.

Guest editorial: Using partial least squares structural equation modeling (PLS-SEM) in quality management

Guest editorial: Using partial least squares structural equation modeling (PLS-SEM) in quality management

Use of Risk Management to Support Business Sustainability in the Automotive Industry

Today’s companies operate in a dynamic, constantly evolving, and highly competitive environment. The globalization of markets has significantly changed the economy, where companies operate within increasingly complex supply chains. The ever-increasing expectations of customers and company stakeholders, as well as the need to incorporate a comprehensive approach to the life cycle of manufactured products in corporate strategies, expose companies to a whole range of risks. The research was based on the need of organizations operating in the (automotive) industry to manage the dynamics of the business environment. This was accomplished using an appropriate model that, through its universality, would help to ensure the effective risk management in a holistic approach, protecting their performance and meeting the needs of the relevant stakeholders. The main idea of the research was to create and implement a dynamic model of risk management in the environment of a production organization based on the use of available methods such as SWOT, PESTLE, brainstorming, affinity diagrams, risk matrix, SIPOC diagram, risk, and the results of questionnaire surveys. The research was conducted in two directions: (1) designing the structure of the dynamic risk management model for the strategic management process; and (2) verifying the effectiveness of the proposed model in specific cases and evaluating the technical and economic benefits. To support the dynamics of the model, three basic management tools have been proposed: process review, internal audit, and management review, enriched with features that support the concept of risk-based thinking.

Predictive Models for Optimal Irrigation Scheduling and Water Management: A Review of AI and ML Approaches

Purpose: Maintaining agricultural output, protecting water supplies, and lessening environmental effects all depend on effective water management. Through a comprehensive review of the literature and an in-depth analysis of various AI and ML techniques, this paper aims to put light on the cutting-edge approaches used in irrigation scheduling predictive modeling. The goal of the research is to determine the advantages, disadvantages, and future directions of AI and ML-based irrigation management systems by means of a methodical analysis of various algorithms, data sources, and applications. Additionally, the study seeks to demonstrate how data-driven methods can enhance irrigation systems' sustainability, accuracy, and precision. Stakeholders in agriculture, water resource management, and environmental conservation can make well-informed decisions to maximize irrigation scheduling techniques by having a thorough understanding of the theoretical underpinnings and practical applications of predictive models. The study also attempts to tackle issues like scalability, model interpretability, and lack of data when implementing AI and ML solutions for practical irrigation management. In final form, this review's conclusions advance our understanding of how to use AI and ML to improve agricultural systems' resilience and water use efficiency, supporting adaptive and sustainable water management strategies in the face of rising water scarcity concerns and climate change. Design/Methodology/Approach: In order to gather information for this review study, several research articles from reliable sources were analyzed and compared. Objective: To provide the current research gaps in prediction models for the best irrigation scheduling and water management, and suggest using AI and ML techniques to fill in these gaps. Results/ Findings: In response to the growing challenges of water scarcity and climate change, the paper's findings highlight the transformative potential of AI and ML techniques in optimizing irrigation scheduling, enhancing agricultural resilience, increasing water use efficiency, and supporting adaptive and sustainable water management strategies. Originality/Value: This paper's uniqueness and significance come from its thorough analysis of AI and ML approaches in predictive modeling for ideal water management and irrigation scheduling. It also provides insights into new methods and their possible effects on resource optimization and agricultural sustainability. Type of Paper: Literature Review.

Influence of the rehydration period on yield quality and harvest performance in Manzanilla de Sevilla super high-density olive orchards

AbstractSuper-high density olive orchards may increase profitability for table olive producers. However, water needs and fruit damage could limit their viability. Deficit irrigation scheduling would reduce the amount of water required, but rehydration before harvest is extremely important. The aim of this work was to compare a typical deficit farm management model with a regulated deficit irrigation one based on the plant water status. The experiment was carried out during three seasons in a three years-old (4 × 1.5 m) commercial table olive orchard. In both irrigation scheduling plots, seasonal amount of applied water was similar. Irrigation treatments were: common farm management (CFM), an almost constant rate of irrigation, and Regulated deficit (RDI) based on midday shaded water potential. Vegetative measurements suggested that RDI increased the external surface of the hedge, and this was related with greater yield in this treatment. Significant differences were found in of fruit size at harvest in some seasons, with larger fruits in RDI compared to CFM. However, fruit damage occurred during mechanical harvest in both irrigation managements, despite the higher skin firmness in RDI, and shows the need to carry out postharvest treatments to improve the quality of the final product. Accurate control of the tree water status would allow optimizing the amount of water available for table olive orchards.

Correlation between sustainability and smartness indicators in Brazilian cities: insights from the 5SenSu model

To face the growing challenges of urbanization, urban management models grounded in the principles of sustainability and smart cities are being proposed. Despite their acknowledged importance, these models are often misunderstood or improperly applied due to a lack of thorough conceptualization, and they are frequently viewed as interchangeable. The aim of this study is to verify whether a correlation exists between indicators of sustainability and smartness in cities. For a sample of 130 Brazilian cities, their Sustainability Synthetic Indicator of System (SSIS) was computed using the Five-Sector Sustainability Model (5SenSu) and data sourced from the ‘Mandala ODS’ framework. Data concerning smart city were directly sourced from the ‘Connected Smart Cities’ framework. Results show that the 5SenSu model emerges as an alternative multicriteria method, epistemologically grounded in a conceptual model capable of quantifying the sustainability of cities. This approach enables quantitative diagnostics, rankings, and benchmarks, providing information to support decision-making processes. Moreover, the correlation analyses employed reveal a moderate linear correlation (Pearson coefficient of −0.61) and a moderate rank-order correlation (Spearman coefficient of −0.59) between sustainability and smartness. Hence, it would be premature to assume that a city deemed smart would automatically be sustainable, or vice versa. Acknowledging the existing limitations, this study contributes to discussions on the conceptual understanding and quantification through indicators of sustainable and smart cities, providing information for shaping effective public policies aimed at fostering more sustainable urban environments.

Internet of Things Driven Rule Based Management Model for Heterogeneous Environment

Internet of Things Driven Rule Based Management Model for Heterogeneous Environment

Management model for the development of rural tourism in the Membrillo and Quiroga parishes, Bolívar canton

El objetivo de este estudio fue diseñar un modelo de gestión para el desarrollo del turismo rural comunitario de las parroquias Membrillo y Quiroga del cantón Bolívar. La investigación fue exploratoria, descriptiva y de enfoque cualitativo, mediante un análisis integral de la localidad para identificar la potencialidad turística de las comunidades rurales en estudio. Se formuló un proceso metodológico que constó de dos fases: en la primera fase se efectuó el análisis integral del territorio dando como resultado la identificación de comunidades con mayor potencialidad turística rural obtenida a través de herramientas como, revisión bibliográfica y trabajo de campo, matriz de potencialidades, matriz FODA; en la segunda fase se diseñó el modelo de gestión basado en el turismo rural comunitario, siendo necesario definir la verificación de indicadores, acciones y medios de confirmación para ser validadas a través del método de expertos. En conclusión, el modelo contribuye como referente de gestión para que las comunidades rurales lo utilicen como herramienta guía que impulse el desarrollo y puesta en valor del turismo sostenible en el territorio.

A Review of Recent Developments on Modeling Low Impact Development (LID) Technique

Urban areas are more susceptible to flooding and water body contamination due to the detrimental effects of urbanization. As a result, a sustainable urban drainage system, also known as low impact development (LID) technique, is required. Although this technique can be extensively applied, the planning and design processes are multi-dimensional, multi-variable, and site-specific, which must consider various local conditions and factors. Consequently, these processes can be very complicated and time-consuming for professionals, necessitating support from computer modeling. This study intends to thoroughly explore the idea of LID modeling, various available computer models, and other tools for its optimization and decision-making processes. The most recent trustworthy journal publications that addressed the subjects under discussion were reviewed. This paper used the descriptive and comparative approaches as the analytical methods. According to the findings of the review, Storm Water Management Model (SWMM) is the computer model in LID modeling that is most frequently employed. This model is a fundamental package for dynamic urban rainfall-runoff modeling, and it has the benefits of being lightweight, simple to use, and an intuitive user interface. Besides, this model is public domain (free to use), open source, and interoperable with many hydro modeling applications. A specific LID editor module is also included in this model for modeling different LID units. To acquire the best LID planning and design from multiple criteria and alternatives, it is also necessary to use metaheuristic algorithms as an optimization model and a multi-criteria decision-making (MCDM) model in addition to the rainfall-runoff model. The authors believe combining the hydrologic and hydraulics models integrated with geographical information systems (GIS), metaheuristic algorithms, and MCDM is the most comprehensive and appropriate method for LID modeling in urban watersheds.

RPL Management Model for Capacity Building of Village Apparatus: A Case Study on Cooperation between Surabaya State University and Bojonegoro District Government

Law Number 23 of 2014 grants regional autonomy, which means that each regional institution is authorized to manage its own policies. This includes village governments, which are regulated by Law Number 6 of 2014. Therefore, it is crucial to have competent village personnel who can provide exceptional services to the citizens. In 2021, 45,387 village heads, 43,876 village secretaries, 31,147 village-owned enterprise managers, and 7,889 professional assistants graduated from high school, according to data from the Ministry of Village, Development of Disadvantaged Regions, and Transmigration. This highlights the need to strengthen the education of village apparatus. One way to achieve this is through the Recognition of Prior Learning (RPL) program, which is a collaboration between the Ministry and universities such as the State University of Surabaya and the State University of Yogyakarta. This program can help improve the skills of village apparatus. However, there is a gap between the reality and the implementation of the collaboration between the Ministry and Pertindes regarding the implementation of RPL for village apparatus. In Bojonegoro Regency, for instance, only 61% of village heads had a high school educational background in 2022, according to the Office of Community Empowerment and Village Government. To address this issue, the researcher aims to understand the management of RPL in Bojonegoro Regency to improve the capacity of village apparatus. The research is based at the State University of Surabaya and Bojonegoro Regency. The study obtained primary data from interviews, literature studies, and a memorandum of understanding between the State University of Surabaya (UNESA) and the Bojonegoro Regency Government. The researcher used a knowledge management approach in program planning, which focused on six main stages in development planning. These stages included problem identification, problem diagnosis, design stage, design implementation, design testing, and solution formulation. The results of the study showed that collaboration and support from educational institutions are strategic solutions for improving village human resources. Additionally, the RPL program is relevant to the functions of higher education institutions in preparing personnel for village government administration. The implementation of RPL in Bojonegoro is in accordance with the principles of cooperation. However, there were some technical obstacles in the implementation of activities.

Digital technologies for the development of sustainable tourism in mountain areas

The promotion of sustainable tourism models in mountain areas represents a critical success factor for the territory and the environment. In political and economic literature there has been much debate in the attempt to interpret the phenomenon of growth and development with the changing socio-economic environment. Today the topic remains at the center of the debate of many economic policy authorities due to the exodus phenomena occurring in internal areas. In this study, we examined how the resources of mountain areas can create income opportunities as a function of the diffusion of sustainable income. On the one hand, in mountain environments, we have natural resources that represent common goods that must be maintained precisely according to the opportunities they create for sustainable tourism where they represent its essential feature. The complexity of the economic phenomena, which on the one hand leads to an exodus from these environments, determines the need to create new management structures, that can satisfy the needs of the local community and guarantee appropriate management of natural resources. In this study, we analyzed the relationships between sustainable tourism models and natural resource management considering the case of the Ficuzza Forest and applying new digital technologies such as mobile apps that allow you to make hotel reservations, read reviews about the best restaurant in the area, and buy museum tickets to avoid the queue. Starting from the theoretical framework, and subsequently analyzing the empirical case, we highlighted the utility flows that descend from the Bosco. The resulting results have considerable relevance for the planning of mountain territories. The study highlights that the interconnection between public and private management models can guarantee the growth and development of mountain territories.

A global behavioural model of human fire use and management: WHAM! v1.0

Abstract. Fire is an integral ecosystem process and a major natural source of vegetation disturbance globally. Yet at the same time, humans use and manage fire in diverse ways and for a huge range of purposes. Therefore, it is perhaps unsurprising that a central finding of the first Fire Model Intercomparison Project was simplistic representation of humans is a substantial shortcoming in the fire modules of dynamic global vegetation models (DGVMs). In response to this challenge, we present a novel, global geospatial model that seeks to capture the diversity of human–fire interactions. Empirically grounded with a global database of anthropogenic fire impacts, WHAM! (the Wildfire Human Agency Model) represents the underlying behavioural and land system drivers of human approaches to fire management and their impact on fire regimes. WHAM! is designed to be coupled with DGVMs (JULES-INFERNO in the current instance), such that human and biophysical drivers of fire on Earth, and their interactions, can be captured in process-based models for the first time. Initial outputs from WHAM! presented here are in line with previous evidence suggesting managed anthropogenic fire use is decreasing globally and point to land use intensification as the underlying reason for this phenomenon.

Refining Innovative Teaching Processes for Core Competencies Among Teachers in Vocational Universities: An Exploratory Mixed-Method Approach Informed by China's Reform Policy

Objective: This study aims to explore stakeholders' perspectives on the "1+X" certificate policy and its impact on innovative teaching methods to enhance instructors' core abilities at vocational colleges. It also aims to develop a management model for innovation processes based on this policy and instructors' essential skills. Theoretical Framework: The project involves key stakeholders, including executives, teachers, and students. Consequently, this study commences with an exploration of the policy implementation process, drawing upon the practical experiences of these key stakeholders. Subsequently, it seeks to evaluate the proficiency levels of university teachers. Lastly, it endeavors to examine the relationship between the key factors of the innovative management process and teachers' competencies. Method: Using a sequential exploratory mixed-method approach, qualitative data was collected from vocational college administrators, industrial managers, and certified instructors in Yunnan and Chongqing in 2023. A purposive sample of 30 individuals was analyzed using data from institutional reports, interviews, and focus groups, with thematic analysis for interpretation. Results and Discussion: Qualitative findings identified three key factors affecting the management of innovative teaching processes and teachers' core competencies: policy implementation, training, and knowledge transfer. Based on these insights, the PTKT model was proposed and empirically tested with PLS-SEM. Results showed that knowledge transfer plays a mediating role between policy implementation and teacher core competencies, as well as between training and teacher core competencies, with all hypotheses supported. Research Implications: The study provides dual recommendations. For innovation management, it suggests administrators and HR managers focus on continuous skill development before, during, and after training, emphasizing aspects such as recruitment, selection, fostering a supportive work environment, and enhancing knowledge transfer. For future research, it proposes adopting action research methodologies, customizing courses, and engaging in project-based training and R&D activities to facilitate mutual learning.

The role of grid management in community risk governance: a case study in Yuelu, China

ObjectiveIn this study, we aim to provide a comprehensive analysis of the effectiveness of the risk prevention and control mechanism within the grid management model for community risk prevention. We emphasize the importance of thoroughly examining the risk prevention and control mechanism to enhance risk management efforts in urban communities, particularly in response to unforeseen outbreaks such as COVID-19.MethodsCase studies are widely acknowledged as one of the most effective approaches to examine governance in China. In this study, the “Yuelu Model” serves as an illustrative example to demonstrate the application and effectiveness of grid management in community risk governance. To ensure the validity of the case study, it is imperative to adhere to the principle of representativeness. The collection of case data involves a combination of primary and secondary sources, and supplementary information is obtained through follow-up investigations conducted via WeChat, telephone, and other means, thereby enhancing the comprehensiveness and accuracy of the data.ResultsOur analysis reveals significant findings regarding the impact of the grid management model, fulfilling a triple role as a “Social Safety Valve” in the management process: (1) Community stress reduction function, (2) Community alarm function, and (3) Community integration function. Furthermore, we explore the adaptability of the grid management mechanism in addressing community risks, highlighting its effectiveness and potential for broader application.DiscussionThe findings of this study suggest that: Firstly, it is crucial to establish a shared information repository among different departments on a big data platform. Secondly, a dynamic government public information internal network should be established through collaborative efforts among multiple departments. Thirdly, implementing a regular (or periodic) early warning mechanism is essential. Lastly, the establishment of a high-quality talent team for power grid management is highly recommended. Our research provides valuable insights to enhance community risk governance.

Features of the Implementation of the Concept of Managing Decent Work Conditions at Small and Medium-Sized Enterprises in the Construction Industry

In modern conditions, the development of any industry directly depends on the provision of highly qualified labor resources. Due to the constant shortage of personnel, it is important for employers to implement systematic measures to attract, retain and optimally use the required specialists of various qualifications. It is these tasks that the enterprise solves when organizing personnel work in accordance with the basic principles and ideas of decent work. The construction industry in the Russian Federation is one of the most dynamically developing, making a significant contribution to the country’s GDP, but companies from this sector are faced with a global shortage of both labor and highly qualified specialists. It should also be noted that this sector is considered to be one of the most hazardous, injury-prone and requiring increased attention to occupational and labor safety. The purpose of the study is to identify a set of external and internal factors that determine the features of decent work management at enterprises in the construction industry. To achieve this goal, the methods of interdisciplinary analysis of scientific literature and the regulatory framework, economic analysis and analytical statistics were used. The application of counter modeling made it possible to decompose the theoretical model of decent work management and highlight the real conditions of the production, financial and socio-economic activities of enterprises in the construction complex. The results of the study are related to identifying the role of government policy, the labor market, general trends in the construction industry, vocational professional education, as well as personnel policies within the organization in the process of implementing the concept of decent work. The conclusions drawn may be of interest to managers of construction companies, and human resources and personnel management services for analyzing their own practices and carrying out measures to introduce the principles of decent work at individual enterprises in this economic sphere.

Intelligent optimal layout of drainage pipe network monitoring points based on information entropy theory

The rapid expansion of urban drainage pipe networks, driven by economic development, poses significant challenges for efficient monitoring and management. The complexity and scale of these networks make it difficult to effectively monitor and manage the discharge of urban domestic sewage, rainwater, and industrial effluents, leading to illegal discharges, leakage, environmental pollution, and economic losses. Efficient management relies on a rational layout of drainage pipe network monitoring points. However, existing research on optimal monitoring point layout is limited, primarily relying on manual analysis and fuzzy clustering methods, which are prone to human bias and ineffective monitoring data. To address these limitations, this study proposes a coupled model approach for the automatic optimization of monitoring point placement in drainage pipe networks. The proposed model integrates the information entropy index, Bayesian reasoning, the Monte Carlo method, and the stormwater management model (SWMM) to optimize monitoring point placement objectively and measurably. The information entropy algorithm is utilized to quantify the uncertainty and complexity of the drainage pipe network, facilitating the identification of optimal monitoring point locations. Bayesian reasoning is employed to update probabilities based on observed data, while the Monte Carlo method generates probabilistic distributions for uncertain parameters. The SWMM is utilized to simulate stormwater runoff and pollutant transport within the drainage pipe network. Results indicate that (1) the relative mean error of the parameter inversion simulation results of the pollution source tracking model is linearly fitted with the information entropy. The calculation shows that there is a good positive linear correlation between them, which verifies the feasibility of the information entropy algorithm in the field of monitoring node optimization; (2) the information entropy algorithm can be well applied to the optimal layout of a single monitoring node and multiple monitoring nodes, and it can correspond well to the inversion results of the tracking model parameters; (3) the constructed monitoring point optimization model can well realize the optimal layout of monitoring points of a drainage pipe network. Finally, the pollution source tracking model is used to verify the effectiveness of the optimal layout of monitoring points, and the whole process has less human participation and a high degree of automation. The automated monitoring point optimization layout model proposed in this study has been successfully applied in practical cases, significantly improving the efficiency of urban drainage network monitoring and reducing the degree of manual participation, which has important practical significance for improving the level of urban water environment management.

Climate‐driven runoff variability in semi‐mountainous reservoirs of the Vietnamese Mekong Delta: Insights for sustainable water management

AbstractThe Mekong Delta, South East Asia's ‘rice bowl’, sustains more than 18 million people through its agricultural output. This yield is secured by efficient water management systems but is susceptible to climatic changes. As Vietnam's policies aim to optimize the delta's semi‐mountainous regions reliant on rain‐fed agriculture, this study investigates drought risks and climate change impacts on runoff in the O Ta Soc and O Tuk Sa reservoirs, An Giang Province, Vietnam. Using simulation models, we determined runoff volumes for specific rainfall return periods and climate scenarios for the 2030s and 2050s. Using the storm water management model (SWMM), we simulated the reservoir water balance considering rainfall, evaporation and infiltration. Our findings suggest potentially increased runoff and reservoir storage due to intensified monsoons and reduced off‐season rainfall. The 4.77 km2 drainage of the O Ta Soc reservoir could benefit from this, while the 2.55 km2 drainage of the O Tuk Sa watershed may require alternative water‐sourcing strategies. This research offers insights for drought predictions, flood management and water strategies in An Giang. To refine these predictions, future research should consider upcoming rainfall patterns.

Refining the Farm Aquaculture Resource Management Model for Shellfish Nitrogen Removal at the Local Scale

Refining the Farm Aquaculture Resource Management Model for Shellfish Nitrogen Removal at the Local Scale

Overlapping approach Proton Pump Inhibitors/Nux vomica-Heel as new intervention for gastro-esophageal reflux management: Delphi consensus study.

Gastro-esophageal reflux disease (GERD) may affect the upper digestive tract; up to 20% of population in Western nations are affected by GERD. Antacids, histamine H2-receptor antagonists, and Proton Pump Inhibitors (PPIs) are considered the referring medications for GERD. Nevertheless, PPIs must be managed carefully because their use, especially chronic, could be linked with some adverse effects. An effective and safe alternative pharmacological tool for GERD is needed. After the identification of potentially new medications to flank PPIs, it is mandatory to revise and improve good clinical practices even through a consensus process. To optimize diagnosis and treatment guidelines for GERD through a consensus based on Delphi method. The availability of clinical studies describing the action of the multicomponent/multitarget medication Nux vomica-Heel, subject of the consensus, is the basic prerequisite for the consensus itself. A modified Delphi process was used to reach a consensus among a panel of Italian GERD specialists on the overlapping approach PPIs/Nux vomica-Heel as a new intervention model for the management of GERD. The Voting Consensus group was composed of 49 Italian Medical Doctors with different specializations: Gastroenterology, otolaryngology, geriatrics, and general medicine. A scientific committee analyzed the literature, determined areas that required investigation (in agreement with the multiple-choice questionnaire results), and identified two topics of interest: (1) GERD disease; and (2) GERD treatment. Statements for each of these topics were then formulated and validated. The Delphi process involved two rounds of questioning submitted to the panel experts using an online platform. According to their routinary GERD practice and current clinical evidence, the panel members provided feedback to each questionnaire statement. The experts evaluated 15 statements and reached consensus on all 15. The statements regarding the GERD disease showed high levels of agreement, with consensus ranging from 70% to 92%. The statements regarding the GERD treatment also showed very high levels of agreement, with consensus ranging from 90% to 100%. This Delphi process was able to reach consensus among physicians in relevant aspects of GERD management, such as the adoption of a new approach to treat patients with GERD based on the overlapping between PPIs and Nux vomica-Heel. The consensus was unanimous among the physicians with different specializations, underlying the uniqueness of the agreement reached to identify in the overlapping approach between PPIs and Nux vomica-Heel a new intervention model for GERD management. The results support that an effective approach to deprescribe PPIs through a progressive decalage timetable (reducing PPIs administration to as-needed use), should be considered. Nux vomica-Heel appears to be a valid opportunity for GERD treatment to favor the deprescription of PPIs and to maintain low disease activity together with the symptomatology remission.

The Model of The Sport Agent in Thailand: How to Be the Finest Athlete Representative?

Purpose: This research aims to study the basketball sport agent management model in Thailand. Theoretical Framework: This study employs the concepts and theories of the sport agent’s management factor affecting the professional Basketball player achievement in Thailand. Methodology: The study was qualitative research used in-depth interviews. The purposive sampling 24 key informants which were comprised of three trainers, three media people, three financial managers, nine people consist of the representative from the basketball league, professional basketball team owners, and basketball association administrators, three lawyers, three people from the sport cloth and equipment business, three professional basketball team owners, and three Basketball association administrators. The qualifications are the experienced person, and have been related in the sport industry more than 3 years. The researchers gathered data from in-depth interviews by using the management process (planning, organizing, leading, and controlling) approach. Findings: The result found the management model in 4 aspects, firstly, the planning is the goals and route, provoke and increase the plans and strategies for each step of the way. Secondly, the organizing establishes the system to coordinate and allocate a firm`s assets in an effort to perform its plans. Thirdly, leading by synchronization of the efforts of people and organizations for the cause of reaching organizational efficiency. Lastly, the controlling is the manner of the use of organizational assets to comprehend organizational objectives. Research Practical and Social Implication: The research study will be employing the protection of players' rights and interests in contract negotiations. Furthermore, the basketball agent able to transfer to the professionalization of the basketball industry through standardized agent practices. Moreover, the result of the research will be guideline for the sport agent to enhanced credibility and integrity of Thai basketball on the international stage. In term of the social implications, the result of the research study will reduction of exploitative practices and unethical behavior within the industry. Moreover, it will be empowerment of athletes to make informed decisions about their careers. In addition, it able to promote fair play and sportsmanship values in the basketball community. Originality/Value: The introduction of a structured basketball sport agent management model in Thailand offers a unique opportunity to enhance transparency and accountability in player representation, addressing existing gaps in regulation. By prioritizing the welfare and interests of athletes, this model has the potential to elevate the integrity and professionalism of the Thai basketball industry, ultimately fostering growth and sustainability. Its implementation serves as a pioneering step towards aligning with global standards while nurturing a more ethical and equitable environment for players, agents, and stakeholders alike.