Strategic Model Research Articles

A Comprehensive Approach to Fault Classification of Helicopter Engines with Adaboost Ensemble Model

This work is based on the PHM North America 2024 Conference Data Challenge’s datasets of Helicopter turbine engine performance measurements. These datasets were large and moderately imbalanced. For dealing with these challenges, we demonstrate significant tools covering feature engineering, augmentation and selection, model exploration, visualizations, model explainability and confidence margin estimation. This work was performed in its entirety using MATLAB. All these tools will be generally applicable to data-driven modeling and prediction of health to real life applications. Initially, we explored the 742k observations in the training set, noting a 60-40 split between healthy and faulty labels, and identified two major operational clusters within the data. We enhanced the dataset by removing duplicates and engineered new features based on domain knowledge, expanding the feature set to 242 dimensions. However for the torque margin estimation, we trained a regression model on a limited subset (18 features), which includes engineered features using domain knowledge, quadratic terms and linear interaction between all the terms. For the final submission, we utilized a stepwise linear regression model to optimize feature selection. This approach achieved a perfect regression score on test data, validated by a consistent torque margin residual range of +/- 0.5%. The model's RMSE and MAE metrics were optimal for employing a normal distribution probability density function. For , we reduced the feature set to 58 using dimensionality reduction techniques and balanced the data with upsampling and down-weighing the minority class. We employed ASHA (Asynchronous Successive Halving Algorithm) in conjunction with AutoML to efficiently determine the most suitable model family, significantly saving compute time. Subsequently, we trained ensemble models, including bagged tree and AdaBoost (Adaptive Boosting), which minimized false negatives and positives, achieving robust classification performance. This was particularly critical given the high penalty for false negatives in the data challenge. The MathWorks team score on Testing Data was 0.9686 at the close of competition. This was further improved to 0.9867. Our approach demonstrates the effectiveness of combining strategic data processing, feature engineering, and model selection to enhance predictive accuracy in complex operational datasets.

A strategic and social analytics model for sustainable packaging in the cosmetic industry

Every day, we use cosmetic products that are not only focused on beauty but also with everything related to personal care and hygiene. The impact that these products have on sustainability cannot be overlooked. Many cosmetics contain unsustainable ingredients that can cause environmental damage and loss of biodiversity. In addition, fossil-based packaging contributes greatly to environmental pollution and increases waste in the absence of a circular supply chain. This work has a dual objective. The first is to provide a strategic analysis based on a multi-criteria approach to evaluate the most sustainable alternatives to traditional packaging that manufacturers could adopt based on the opinions of experts from different categories of stakeholders. In this study, the multi-criteria approach was employed, as it has been widely recognized in the literature for its effectiveness in evaluating and comparing alternatives across multiple, often conflicting criteria. The second is to provide a social analysis to assess consumers’ views, habits, preferences, and willingness to pay toward sustainable packaging. The results show divergence among experts who prefer refillable packaging while consumers prefer recyclable packaging. In contrast, a convergence in selling price and production costs is verified, highlighting the strategic importance of the economic dimension is for sustainable packaging, and the willingness to pay for sustainable packaging is about twice that of traditional packaging. The implications of this work suggest that circular supply chains covering the entire life cycle of products, based on a pragmatic approach, can drive the convergence of consumption and production patterns toward sustainable development.

A strategic IT policy implementation model for enhancing customer satisfaction in digital markets

In the increasingly competitive landscape of digital markets, customer satisfaction is paramount for sustained business success. This paper proposes a Strategic IT Policy Implementation Model aimed at enhancing customer satisfaction by aligning IT policy development with customer-centric strategies. The model serves as a framework that integrates technological advancements with customer expectations, ensuring that IT policies effectively support business objectives and improve operational reliability. The proposed model emphasizes a holistic approach to IT policy formulation, incorporating stakeholder input, market analysis, and performance metrics. It identifies key areas where IT policies can directly influence customer experiences, including data management, service delivery, and communication channels. By focusing on these elements, organizations can develop IT policies that not only comply with regulatory standards but also enhance user engagement and satisfaction. Central to the model is the concept of continuous feedback loops, which facilitate the ongoing evaluation and refinement of IT policies based on customer insights. This adaptive mechanism enables businesses to remain responsive to changing customer needs and technological advancements, fostering a culture of innovation and customer-centricity. Moreover, the model advocates for cross-departmental collaboration, ensuring that IT policies are harmonized with marketing, sales, and customer service strategies. Implementation of the model is illustrated through case studies of leading technology firms that have successfully aligned their IT policies with customer-centric approaches. These examples highlight the tangible benefits of improved customer satisfaction, increased loyalty, and enhanced operational reliability. Furthermore, the model addresses common challenges faced during implementation, such as resistance to change and resource constraints, offering practical solutions to overcome these obstacles. In conclusion, the Strategic IT Policy Implementation Model provides a structured approach for organizations aiming to enhance customer satisfaction in digital markets. By aligning IT policies with customer-centric strategies, businesses can achieve greater operational efficiency and foster long-term relationships with their customers.

A review of strategic cash flow management models and their role in driving financial growth and sustainability for energy companies in developing markets

Effective cash flow management is critical to the financial health and sustainability of energy companies, particularly in developing markets where economic volatility and operational challenges can constrain growth. This review explores strategic cash flow management models and their impact on driving financial growth and sustainability for energy companies operating in these markets. It highlights the importance of optimizing working capital, leveraging debt and equity financing, and implementing robust risk management frameworks to ensure liquidity and long-term viability. The review categorizes the most prevalent cash flow management models used in energy companies, such as the Free Cash Flow (FCF) model, the Discounted Cash Flow (DCF) model, and the Cash Conversion Cycle (CCC) model. Each model's relevance is analyzed in the context of fluctuating energy prices, regulatory changes, and currency instability, which are common issues in developing markets. Additionally, the role of digital tools and financial technologies (FinTech) in enhancing the precision and efficiency of cash flow forecasting and management is discussed. Key findings suggest that strategic cash flow management not only supports immediate liquidity needs but also positions energy companies for sustainable growth by optimizing investment opportunities and mitigating financial risks. A significant emphasis is placed on the need for agile financial planning, where scenario-based forecasting and adaptive cash flow strategies are essential to navigating uncertainties in the energy sector. Furthermore, the review underscores the importance of integrating environmental, social, and governance (ESG) criteria into cash flow models, aligning financial sustainability with broader corporate responsibility goals. In conclusion, this review offers a comprehensive analysis of cash flow management strategies that are crucial for energy companies in developing markets, providing actionable insights into achieving financial resilience and long-term growth.

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

The research investigates the factors influencing the sustainability of Afghanistan's natural resources, aiming to guide the country towards sustainable development and poverty alleviation. Utilizing the Analytic Hierarchy Process (AHP) and strategic planning models, the study identifies and prioritizes key factors such as organizational structure and management, and economic, social, cultural, and ecological aspects. The findings reveal that organizational and managerial structure is the most critical factor, with a weight of 38%. The research emphasizes the necessity of integrated and systematic management of natural resources, which could improve economic and social well-being. It also highlights the importance of strategic planning, monitoring, and evaluation to ensure effective resource management. The study proposes a model for sustainable natural resource management that includes community empowerment, knowledge integration, economic viability, and enhanced communication among stakeholders. The research concludes that a comprehensive understanding of all influencing factors and their interactions is essential for designing a model for sustainable natural resource management.

Empowering Pregnant Women with Health Promotion Strategies to Prevent Chronic Energy Deficiency (CED): Systematic Review

Background: Pregnant women's nutrition is very important for the growth and development of the fetus. Nutrition for pregnant women is very important for the development and growth of the fetus. The application of the concept of a health promotion model strategy as the right strategy to improve and prevent CED is urgently needed. Purpose: To find out changes in the behavior of empowering pregnant women with a strategic model of a health promotion approach to prevent CED. Method: The method used systematic review. Articles were searched using keywords that had been determined by the researcher then the articles were extracted based on inclusion and exclusion criteria. Thus, found 7 articles suitable for analysis. Results: Changing behavior by empowering pregnant women using health promotion strategies in preventing CED has proven to be very effective. But in its application it becomes a complex thing because of the diversity of cultures in Indonesia. Conclusion: The diversity of community characteristics can affect the application of the model of empowering pregnant women in preventing CED. Several other factors such asbeliefs and environment that are understood also affect the understanding of each individual.

PERCEPTIONS OF CLASSICAL MUSIC AND ITS IMPACT IN SCHOOL

This article examines the impact of music-making activities on children's development. It considers the musical perceptions of pupils in mainstream schools and the effect of classical music on their momentary emotional state. It also presents strategic models for integrating classical music samples into the learning process, which are tailored to the age range of students and the music curriculum to serve the music educator.

A value chain modeling approach for upscaling the production of fine flavor cocoa in Arauca (Colombia)

AbstractThe fine flavor cocoa (FFC) market offers additional income for small farmers. Despite the potential of several Latin American countries to produce FFC, their lack of standardized postharvest processes hinders compliance with high‐quality standards demanded by the FFC market, as these processes have a direct impact on cocoa's organoleptic characteristics. This work supports the design of a collective postharvest transformation model that coordinates the main steps in the cocoa agri‐food chain: transport of the cocoa harvest, classification, fermentation, drying, storage, and commercialization. Our methodology includes a modeling scheme combining optimization and simulation models, considering variability in the processes, and covering operational (transport and resource allocation), tactical (design and sizing of the processing plant), and strategic (sales dynamics) decisions across the cocoa value chain. We illustrate this methodology in a case study in Arauca, Colombia. Our findings emphasize the importance of combining these operational and strategic models since their inputs and outputs are interconnected influencing the decision‐making within the cocoa value chain. Our study also identifies key determinants for the postharvest design, highlighting the postharvest center capacity, FFC prices, and the market selling mode (export or local).

Probabilistic Analysis of Low-Emission Hydrogen Production from a Photovoltaic Carport

This article presents a 3D model of a yellow hydrogen generation system that uses the electricity produced by a photovoltaic carport. The 3D models of all key system components were collected, and their characteristics were described. Based on the design of the 3D model of the photovoltaic carport, the amount of energy produced monthly was determined. These quantities were then applied to determine the production of low-emission hydrogen. In order to increase the amount of low-emission hydrogen produced, the usage of a stationary energy storage facility was proposed. The Metalog family of probability distributions was adopted to develop a strategic model for low-emission hydrogen production. The hydrogen economy of a company that uses small amounts of hydrogen can be based on such a model. The 3D modeling and calculations show that it is possible to design a compact low-emission hydrogen generation system using rapid prototyping tools, including the photovoltaic carport with an electrolyzer placed in the container and an energy storage facility. This is an effective solution for the climate and energy transition of companies with low hydrogen demand. In the analytical part, the Metalog probability distribution family was employed to determine the amount of monthly energy produced by 6.3 kWp photovoltaic systems located in two European countries: Poland and Italy. Calculating the probability of producing specific amounts of hydrogen in two European countries is an answer to a frequently asked question: In which European countries will the production of low-emission hydrogen from photovoltaic systems be the most profitable? As a result of the calculations, for the analyzed year 2023 in Poland and Italy, specific answers were obtained regarding the probability of monthly energy generation and monthly hydrogen production. Many companies from Poland and Italy are taking part in the European competition to create hydrogen banks. Only those that offer low-emission hydrogen at the lowest prices will receive EU funding.

Strategic Model to Support Sustainability for Local Food Industry in West Sumatra, Indonesia

West Sumatra is a region in Indonesia with a high supply of local food sources at reasonable costs, such as cassava, purple sweet potatoes, white sweet potatoes, and taro. However, it turns out that local food sources have not been widely utilized. This study aims to formulate a sustainability strategy for the development of the local food industry. The research method used is a focus group discussion with the government and business actors in the local food industry in West Sumatera. The strategies created will consider the strengths, weaknesses, opportunities, and threats faced by the local food industry using a SWOT analysis. Results classified 8 items under strengths, 9 under weakness, 10 under opportunities, and 8 under threats. Based on this, a strategy will be formulated which is a combination of the part of SWOT area that consists of 2 SO strategies, 2 WO strategies, 2 WT strategies, and 2 ST strategies. Keywords: sustainability, SMEs, local food, SWOT

Strategic Management Model in Achieving Presidential Regulation on Electronic-Based Government System in Medan City Government

This research aims to determine the quality of public services through the Electronic-Based Government System (SPBE), as well as to know and analyze the Implementation of Strategies for Achieving PERPRES No. 95 of 2018 concerning SPBE in the Medan City Government. This research is important to obtain a Strategic Management Model in Achieving PERPRES No.95 of 2018 concerning SPBE in the Medan City Government. The research paradigm used is Constructivist Paradigm, with Qualitative Research Method. Data were collected through in-depth interviews, discussions with several informants from the Medan City Office, DPRD, UPT Kecamatan, and community leaders. In addition, data was also collected through literature study, document study, and secondary data. The results showed the following: First, there is coordination between agencies in the development of application services. The coordination is conducted by the Diskominfo of Medan City Government. A number of Departments used external consultants in the development of SPBE. Diskominfo made new rules to address ICT service issues. The services use external programmers and experts and if an error occurs, the City Government is not responsible for the service. Secondly, Medan City Government conducted a Memorandum of Understanding with Tangerang City to collaborate and share resources through the innovation of E-Files application for correspondence needs. The use of shared correspondence applications by the Government in Tangerang City was adjusted based on the specific needs of each city. The platform used is the same, but with different application names, E-Files in Tangerang and Sarana in Medan. Third, there are 3 SPBE service providers in Medan City Government, including: Telkom (PT. Telekomunikasi Indonesia) for Kelurahan/Kecamatan, GDS (Global Digital Solusi) for Diskominfo and other OPDs, and TNC (Telemedia Network Cakrawala) for Medan City Office. Fourth, Medan City Government uses a Strategic Management Model that combines the Environmental Model with the Collaboration Model in developing the Achievement of PERPRES No.95/2018 on SPBE in Medan City Government. The Environmental Model/Flow emphasizes vertical and horizontal coordination between work units in Medan City Government. The Collaboration Model develops a strategy of collaborative cooperation with other local governments or state-owned/private enterprises.

Strategic behavior in multi-criteria sorting with trust relationships-based consensus mechanism: Application in supply chain risk management

Strategic behavior is common in multi-criteria sorting, where manipulated alternatives are allocated to the target category to achieve the intended goal. Engaging in such strategic behavior in sorting consensus often comes at a cost, which is closely tied to the degree of preference adjustments and the level of trust relationships among decision makers. This study investigates strategic behavior using piecewise cost-based consensus mechanism in social trust network. Firstly, the trust relationship dependent piecewise cost is formally defined and formulated by considering the impact of trust relationship on the preference adjustments willingness to achieve sorting consensus. Then, based on the trust relationship dependent piecewise cost, a preference strategic manipulation model is proposed to achieve strategic behavior in sorting consensus, which is implemented by minimizing the cost of strategically guiding decision makers in adjusting their preferences. Considering that social trust network affects strategic manipulation, a preference-network collaborative strategic manipulation model is further proposed, which is designed to strategically guide decision makers in adjusting both their preferences and social trust networks. Moreover, the practicality of proposed strategic manipulation models is exemplified through a case study on supply chain risk management and their performance is validated via simulation analysis.

Strategic changes and challenges of private dental clinics and practitioners in Israel: adapting to a competitive environment

BackgroundIn the 21st century’s digital age, health organizations face challenges from reduced public healthcare spending, creating a competitive market that impacts healthcare management. The struggle is hardest for small organizations, such as private clinics. Competing under unfavorable conditions, these small businesses must run as independent, profitable units in a government-regulated market where they are subject to numerous restrictions yet receive no financial support. In a world of increasing dependence on digital technologies, these small businesses must adopt competitive business models and be adaptive and flexible in embracing change.MethodsThis qualitative study is based on a thematic qualitative analysis of 20 in-depth, 45-minute-long interviews with dentists and owners of private dental clinics in various specialties. The study employs the strategic change model to examine how dentists who run private dental clinics implement new strategies and technologies to adjust to changes and create a competitive edge.ResultsSix main categories emerged from the analysis of the interviews: changes in the organization’s environment; instituting and assimilating changes; obstacles in embracing change; added value obtained from embracing the change; quality of care and service; and cost-benefit considerations. The categories were map and evaluated in light of the strategic change model. The analysis indicated that digital strategies have been only partially adopted, suggesting an absence of a cohesive, long-term strategic vision for the organizations.ConclusionsThe study explored the actions, perceptions, and challenges of adapting to a competitive digital market in dental private clinics. Based on these insights, recommendations have been provided for global change management, aiming for a sustainable and stable healthcare system that benefits the broader community.

Self-building or sharing? The strategy analysis of building charging stations

Charging station sharing, as a new business model, can effectively reduce the building of unnecessary public charging stations and promote sustainable urban development. This study discusses whether the manufacturers introduce a charging station sharing strategy and identify the introduction conditions. We develop a strategic competition model where the two manufacturers engage in electric vehicles (EVs) and charging stations. The results show that charging stations have a facilitating effect on the EV market. In a sharing strategy, the low-end vehicle manufacturer can profit more when the contract cost is smaller. Comparing the strategies of self-building and sharing, the manufacturers should choose a self-building strategy when the cost coefficient of building the station, the brand advantage, and the contract cost are all larger. However, when the brand advantage and the contract cost are smaller, or both in the medium, the manufacturers should choose a sharing strategy. In addition, we also find that the substitutability of EVs and the cross-sensitivity of EVs and charging stations can lead to lower market demand for EVs. In a monopoly production scenario, encroachment by both the platform and the service provider leads to lower profits for the manufacturer. Therefore, it is more favorable for the manufacturer to self-build charging stations in the no-invader condition. Our analysis provides insights into when charging station sharing may be beneficial and when it may be detrimental to vehicle manufacturers.

Evaluating the impact of digital and financial literacy on MSME performance

ABSTRACT The objective of this study was to determine the critical success factors that contribute to the performance of micro-, small, and medium-sized enterprises (MSMEs) in the context of digital and financial literacy. This study employed the total interpretive structural modeling approach to construct a hierarchical model of important success elements and analyze their direct and indirect interconnections. This article specifies six success factors that impact the performance of MSMEs, with the consideration of their effects and value generation leading to enhanced performance. The results indicate that entrepreneurial orientation and digital literacy are the primary components of the developed model, with all factors collectively contributing to overall performance. By identifying and categorizing key components within the strategic model, the study provides MSME founders with a systematic way to enhance business competency, which has significant consequences for business growth and success. The hierarchical model developed in this research assists policy makers and practitioners in improving the performance of MSMEs.

API management and cloud integration model for SMEs

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

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

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

Model Model Manajemen Strategi Dalam Pengembangan Kampung Tematik Di Kota Tangerang

Background – The results of the prior assessment of thematic villages by the Tangerang City Government have not found maximum results, because thematic villages that are included in the main cluster are still below fifty percent. This shows that the performance of thematic village organizations still needs to be improved. Aim – This study aims to find a management strategy model in developing thematic villages in Tangerang City. Thematic villages have the opportunity to support the development of Tangerang City through good strategic management. Design / Methodology / Approach – The approach used in this research is qualitative. The object of research is thematic villages in Tangerang City. Informants are the leaders of thematic villages, the determination of informants is done purposively, using purposive sampling technique. Data collection techniques used observation, interview documentation and triangulation. Data analysis using the Miles and Huberman model, namely data reduction, data presentation and conclusion drawing. Findings – This study show that most thematic villages in Tangerang City have not used a strategic management model in developing thematic villages in the form of determining a vision, conducting an environmental assessment, setting goals and implementing strategies. Conclusion – Institutional strengthening needs to be carried out through the implementation of a management strategy model assisted by the Tangerang City Bappeda. Research Implication – The implications of this study, with the results of the study in the form of a strategic management model can be used as input for the development of management science. Limitations – with a qualitative approach, the research results cannot be generalized. So for areas that have different characteristics from Tangerang City, more in-depth research is needed. But with this research, a strategic management model will be found in the development of thematic villages.

Adapting to Changing Landscape: Strategic Planning and Change Management in Islamic Higher Education

This study aims to analyze the concept and process of strategic planning that can contribute to the success and effectiveness of strategic planning in Islamic universities by following the steps of strategic change developed by John Moore Bryson. The background of this study is based on the fact that the university environment, especially Islamic universities, generally still needs significant breakthroughs in strategic planning. The mixed method is used to consider the aspect of academic usefulness. First, the mixed method strategy gradually expands the findings. Second, the mixed method strategy combines quantitative and qualitative data into one piece of information to obtain a comprehensive analysis. The research findings show that the strategy model is an effort to integrate the main objectives and policies of the organization into a series of actions that can be relied on in achieving the organization at a certain point. The results of this study are expected to provide an essential contribution by identifying the gap between the John Moore-Bryson model and the strategic change model in the organizational environment of Islamic universities.

Policy implementation and strategic effects: Assessing the impact of parliamentary thresholds on Indonesia’s political system and governance

This study examines the impact of parliamentary thresholds on the Indonesian political system through the lens of the Routine Policy Implementation Model and the Strategic Policy Implementation Model. The main objective is to evaluate the effectiveness of parliamentary thresholds in managing political fragmentation, assess their impact on stability and representation in the legislative system, and understand their implementation’s technical and strategic implications. Using a qualitative approach supported by interview studies and field observations, this research combines analysis of election data in the 2009, 2014, and 2019 elections with a qualitative assessment of policy changes and political dynamics. The Routine Policy Implementation Model focuses on the technical aspects of threshold implementation, including vote counting procedures and seat allocation efficiency. Meanwhile, the Strategic Policy Implementation Model examines the broader implications of these thresholds for political consolidation, government effectiveness, and the representation of minor parties. The results show that the parliamentary threshold has significantly reduced political fragmentation by consolidating the number of parties in Parliament, resulting in a legislative system that is cleaner and easier to administer. However, this consolidation has also marginalized small parties and limited political diversity. The novelty of this study lies in its comprehensive analysis of how parliamentary thresholds affect administrative efficiency and strategic political stability in Indonesia, compared to democratic countries in transition, such as Slovenia and Montenegro. In conclusion, although parliamentary thresholds have increased political stability and government effectiveness, they have also raised concerns about the reduced representation of small and regional parties. The study recommends maintaining balanced thresholds that ensure stability and diversity, implementing mechanisms to review thresholds periodically, and involving diverse stakeholders in adjusting policies to reflect evolving political dynamics. This approach will help balance the need for a stable legislative environment with broad representation.