Strategic Planning Research Articles

Effect of Strategic Plan on Financial Performance of Commercial Banks in Rwanda A Case of BPR Bank Rwanda PLC Headquarter. Period: 2018-2022

Effect of Strategic Plan on Financial Performance of Commercial Banks in Rwanda A Case of BPR Bank Rwanda PLC Headquarter. Period: 2018-2022

Collaboration for the sustainable food supply chain: A bibliometric analysis

AbstractThere is increasing attention on the topic of collaboration for sustainable food supply chains (SFSCs), with increasingly contributing journals and publications every year. The urgency of this topic is even more highlighted due to the COVID‐19 pandemic and the more recent energy and food crisis. Hence, the field needs to have a good portrait of the ongoing research in this area and to better understand future research directions to enable optimized future strategic plans and problem‐solving capability of effective collaboration for SFSCs. This paper reviews, analyses, and synthesizes the current state of research into collaboration for SFSCs. We examine a sample of 528 articles identified from the Scopus and Web of Science databases using bibliometric analysis methodology. We identify four research clusters: collaboration and sustainable supply chain management, emerging markets and resilience, digital technologies, and perishable food products. This paper clarifies interrelated themes and identifies a range of topic areas that still demand further investigation.

Sustained applicability of SARS-CoV-2 variants identification by Sanger Sequencing Strategy on emerging various SARS-CoV-2 Omicron variants in Hiroshima, Japan.

The evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) persists, giving rise to new variants characterized by mutations in the spike protein. However, public data regarding the virus's evolutionary trend is not widely available after the downgrade of coronavirus disease 2019(COVID-19). Therefore, this study aimed to investigate the applicability of an in-house Sanger-based method for identifying SARS-CoV-2 variants, particularly focusing on newly emerged Omicron variants, and updating the epidemiology of COVID-19 during the 8th wave in Hiroshima Prefecture. A total of 639 saliva samples of individuals who had tested positive for COVID-19, received from Hiroshima City Medical Association Clinical Laboratory Center between February 01, 2023, and March 12, 2024, were included in the study. SARS-CoV-2 variants were identified in 69.3% (443/639) with the mean viral titer 2 × 106 copies/mL, and high viral titer in Omicron variant XBC.1.6* (5 × 108 copies/mL) using RT-qPCR. By partial Spike gene-based sequencing using the Sanger Sequencing strategy, Omicron sub-lineages XXB.1, BA.5, and EG.1 were identified during different periods. A comprehensive phylogenetic analysis of 7383 SARS-CoV-2 strains retrieved from GISAID, collected in Hiroshimafrom the onset of the COVID-19 pandemic in early 2020 until July 2024, revealed the dynamic evolution of SARS-CoV-2 variants over time. The study found a similar pattern of variant distribution between the full genomes from GISAID, and the partial genomes obtained from our screening strategy during the same period. Our study revealed that all SARS-CoV-2 viruses circulated in Hiroshima were Omicron variants and their sub-lineages during the 8th wave outbreak in Hiroshima. Persistent molecular surveillance of SARS-CoV-2 is needed for the decision-making and strategic planning of the public promptly. Our study added evidence for the usefulness of SARS-CoV-2 spike gene partial sequencing-based SARS-CoV-2 variant identification strategy for mass screening and molecular surveillance even though the evolution of newly emerged various SARS-CoV-2 Omicron variants.

Vulnerability assessment of English and Welsh coastal areas

The escalating threat of climate change has placed global coastal communities at risk, with rising sea levels and intensified storm events presenting unprecedented challenges. Coastal vulnerability assessments, conducted every 3–5 years, are crucial. This empirical study assesses the Coastal Vulnerability Index (CVI) for the distinct coastal contexts of Dawlish, Happisburgh (England), and Aberystwyth (Wales). The CVI method consists of the Physical Coastal Vulnerability Index (PCVI) and the Economic Coastal Vulnerability Index (ECVI), which provide a multidimensional assessment of vulnerability for coastal zones. This integrated index allows for a nuanced evaluation of vulnerability, distinguishing between sites based on various factors. Additionally, this study conducted a correlation analysis to understand the associations between the parameters. The findings demonstrate that physical features like beach and dune widths significantly impact a location’s natural defences, and economic factors such as property values and population density are equally crucial in determining societal risks and potential financial repercussions. The Combined Coastal Vulnerability Index (CCVI) results confirm the effectiveness of incorporating a diverse range of variables. Despite its substantial economic value, it reveals that Dawlish requires targeted protective measures, whereas Happisburgh needs an increased focus on its most vulnerable sectors. Aberystwyth emerges as the area with the highest overall vulnerability, underscoring the need for comprehensive coastal management practices. The study’s conclusions emphasize the essential role of adaptive, integrated management strategies in enhancing coastal resilience against the complex threats posed by climate dynamics. Moving forward, the indices established herein advocate for their use in strategic planning and policymaking to strengthen coastal regions in the face of sea-level rise and climatic variability. This investigation lays the groundwork for future research, aimed at refining and expanding these methodologies, aspiring to develop a detailed national coastal vulnerability atlas, a critical tool for informed decision-making and safeguarding at-risk communities.

Evolution and Research Trends in Physical Culture. A Longitudinal Analysis of Student Diploma Theses from the Didactic Team of Physical Culture Sciences, formerly the Department of Physical Culture, Faculty of Earth Sciences and Spatial Management, 2017-2024

Objective: The aim of this study was to conduct a comprehensive analysis of diploma theses produced in the Department of Physical Culture at the Faculty of Earth Sciences and Spatial Management between 2017-2024, to identify main research trends, thematic evolution, and assess the impact of external factors on research directions in the field of physical culture. Material and Methods: The analysis included 95 diploma theses (82 bachelor's and 13 master's). Mixed research methods were applied, combining quantitative and qualitative analysis. Content analysis, statistical analysis (including chi-square tests, analysis of variance, linear regression), and advanced data analysis methods (LDA topic modeling, social network analysis, SARIMA time series analysis) were conducted. Additionally, measures of thematic diversity and supervisor specialization indicators were applied. Results: A statistically significant upward trend in the number of theses (β = 1.1875, p = 0.0134) and significant seasonality of defenses were found. Five main thematic areas were identified: physical activity and health (29.5%), tourism (23.2%), sport (21.1%), health (15.8%), and recreation (10.5%). LDA analysis revealed more detailed categories, indicating growing interdisciplinarity of research. A significant impact of the COVID-19 pandemic on thesis topics was observed in 2020-2021. Social network analysis showed a key role of certain supervisors in shaping research directions (highest eigenvector centrality = 1.00). Conclusions: The study revealed dynamic development of the physical culture discipline, with growing emphasis on interdisciplinarity and health aspects. Adaptation of research topics to current social and technological challenges was observed. Results indicate the need for further expansion of the thematic scope of theses, particularly in areas of new technologies and long-term effects of physical activity. The analysis provides valuable information for strategic planning of study program development and research directions in the field of physical culture, tourism, and recreation.

Challenges and Opportunities

In this article, the authors consider the future possibility of public administration in South Africa being transformed by artificial intelligence (AI). It discusses the difficulties and advantages of AI/ML in this set up. They can use artificial intelligence (AI) to enhance the productivity of the public sector, quality in decision, and contribute to people's participation. The results show that AI can reduce paperwork, anticipate public health trends, make recommendations for people to get the best chance of recovery, and even optimise resource allocation – all with a view towards improving service delivery and governance. Problems with infrastructure, gaps in digital access, as well as scarcity of AI expertise within the public service work against any real integration of artificial intelligence. The study underscores the significance of strategic planning, large-scale infrastructural investments, and robust policy reforms in order to harness the full range of benefits from artificial intelligence (AI) with a fair share accruing to all.

Planning and Evaluation of Water-Dropping Strategy for Fixed-Wing Fire Extinguisher Based on Multi-Resolution Modeling

The deployment of fixed-wing aircraft in fire-extinguishing operations represents a significant advancement in the domain of aviation emergency rescue. Addressing the challenge of enhancing firefighting efficacy, this study delves into the water-dropping strategies of fixed-wing extinguishers and provides a methodological framework for the strategic planning and assessment of water-dropping tactics, employing multi-resolution modeling. The formulation of the planning algorithm and the structure of the effectiveness evaluation index system are explained accordingly. The corresponding prototype system was designed, comprising four subsystems that utilized distinct resolution models: fire environment simulation, water-dropping point scheme planning, approaching path planning, and mission evaluation simulation. Case studies validate the system’s capability to forecast fire and smoke propagation, plan a water-dropping trajectory based on the fire line, optimize flight paths based on the trajectory, and simulate as well as evaluate the whole firefighting mission process. The above research comprehensively constructs the model, finishes the iterative optimization, and evaluates the water-dropping strategy by simulation. The technical path and methodological framework of studying water-dropping strategies are established. The outcomes of this study provide invaluable support for the parameter inversion design of the fixed-wing extinguisher, offering decision-making assistance to commanders and supplying training scenarios for new aviation crews.

Strategy implementation practices and Performance of State Corporations: Case of National Health Insurance Fund, Nairobi City County, Kenya

Many organizations in developed and developing countries and more specifically in Kenya are striving to perform, it is noted that issues of strategy implementation has continued to be uncertain in the Kenyan public sector. Many state-owned corporations are grappling with management problems which have led to their poor performance outcome. The National Health Insurance Fund is a state corporation through National Health Insurance Fund Act No. 9 of 1998. The Fund’s core mandate is to provide social medical insurance cover to all its members and their declared dependents (spouse and children). But according to National Health Insurance Fund Performance Report 2017- 2018, the National Health Insurance Fund has continued to implement social health strategies with a view to achieving Universal Health Coverage for the benefit of all Kenyans. The aim of the study was to examine the strategy implementation practices influencing the performance of state corporations in Kenya, specifically the National Hospital Insurance Fund. The study was grounded on Organizational Higgins’s Eight S Model, the Balanced Scorecard model, and Resource Based View theory. The study employed a descriptive research design. The study population consisted of 411 employees, managers, and patients from the National Health Insurance Fund headquarters. Questionnaires were used to collect primary data, and a pilot test was performed to assess the reliability and validity of the questionnaire. Cronbach’s Alpha coefficient was employed to determine the reliability of the research instrument. Data analysis involved the use of descriptive statistics, supported by the Statistical Package for Social Sciences (SPSS), to calculate frequencies, percentages, means, and standard deviations. A Multiple Linear Regression model was used to determine the influence of independent variables on the dependent variable. The study findings revealed that technological innovation, strategic resource planning, strategic leadership and strategy monitoring had positive and significant effects on the performance of the National Health Insurance Fund in Kenya. This study concluded that strategy implementation factors, including technological innovation, strategic resource planning, strategic leadership, and strategy monitoring, play a significant role in firm performance. The study recommends that the management of the organization should emphasize strategy implementation to improve the performance of their organization. Additionally, continuous investment in technological innovation, effective strategic resource planning, strategic leadership development, and robust strategy monitoring practices should be prioritized to enhance overall organizational performance.

Developing innovative financial products for sustainable economic growth

In today’s competitive landscape, technology firms increasingly turn to advanced data analytics as a strategic tool for boosting revenue growth and operational efficiency. This review explores how leveraging sophisticated analytical techniques can enable these organizations to extract actionable insights from vast datasets, thereby enhancing decision-making processes and driving business performance. Advanced data analytics encompasses a range of methodologies, including predictive analytics, machine learning, and big data analysis, which collectively empower firms to identify trends, optimize resources, and tailor products to meet evolving customer demands. One of the primary benefits of utilizing advanced data analytics is the ability to enhance revenue growth through improved customer targeting and segmentation. By analyzing customer behaviors and preferences, technology firms can develop personalized marketing strategies that resonate with their target audiences, resulting in increased conversion rates and customer loyalty. Moreover, data analytics facilitates the identification of new market opportunities, enabling firms to innovate and expand their product offerings effectively. Operational efficiency is another critical area where advanced data analytics proves invaluable. By monitoring key performance indicators (KPIs) and operational metrics, technology firms can streamline their processes, reduce costs, and minimize waste. Predictive analytics, in particular, allows organizations to anticipate potential disruptions in their operations, enabling proactive measures to mitigate risks and maintain smooth workflows. This capability not only enhances productivity but also fosters a culture of continuous improvement. Additionally, advanced data analytics supports informed strategic planning by providing insights into market dynamics and competitive positioning. Firms can leverage these insights to make data-driven decisions, allocate resources effectively, and align their business strategies with market trends. In conclusion, advanced data analytics serves as a catalyst for revenue growth and operational efficiency in technology firms. By embracing these analytical techniques, organizations can harness the power of data to drive innovation, improve customer engagement, and achieve sustainable competitive advantage. As technology continues to evolve, the strategic implementation of advanced data analytics will be essential for firms seeking to thrive in an increasingly data-driven world. Keywords: Advanced Data Analytics, Revenue Growth, Operational Efficiency, Technology Firms, Predictive Analytics, Customer Targeting, Strategic Planning.

MycoTWIN Working Group Discussion: A Multi-Actor Perspective on Future Research Directions for Mycotoxins and Toxigenic Fungi Along the Food and Feed Chain

Mycotoxin research is facing unprecedented challenges, starting from the urgent need to cope with the consequences of climate change, the global shortage of grain due to unstable political scenarios, and the major transformation of the supply chains after the COVID-19 pandemic. In this scenario, the mycotoxin contamination of human and animal foods is still unavoidable, thus representing a major challenge to global food security. Next to this, the shift to sustainable and circular food production might be accompanied by an increase in food safety issues involving mycotoxins, e.g., when new technologies are applied to reuse side streams from the food industry, it is not known if and how mycotoxins accumulate in these by-products. MycoTWIN is an EU-funded Horizon 2020 project which fosters knowledge transfer and scientific cooperation within the Mediterranean area, involving worldwide experts, decision makers, and stakeholders in the field of mycotoxigenic fungi and mycotoxins. The MycoTWIN project hosted working group meetings, whose aim was to propose operational plans and/or scientific strategic plans to shape the future research directions to better cope with these challenges. In the working group cycle “Future proof approaches for the management of toxigenic fungi and associated mycotoxins along the food chain”, a multi-actor group was guided in co-creation exercises to elaborate on future research directions and propose relevant actions to be implemented for the present to long-term time periods. The discussion focused on three main topics relevant to the assessment and management of risks associated with mycotoxins and toxigenic fungi: (i) needs for the harmonization of molecular and chemical methods and data analysis, (ii) from lab research to marketable solutions: how to fill the gap, and (iii) gaps in data quality for risk assessment.

The Role of Cognitive Bias in Principal Decision Making: A Narrative Analysis of the Literature

This study aims to critically examine the role of cognitive biases in principal decision-making processes by synthesizing and analysing existing literature. It seeks to identify key cognitive biases affecting principal decisions, their impact on organizational outcomes, and potential mitigation strategies. A comprehensive narrative analysis of the literature was conducted. Relevant peer-reviewed articles, books, and book chapters published between 1970 and 2023 were systematically identified and reviewed using major academic databases such as Web of Science, JSTOR, and Google Scholar. The analysis revealed that cognitive biases, particularly confirmation bias, overconfidence, anchoring, and availability bias, significantly influence principal decision-making. These biases can lead to suboptimal decisions, affecting strategic planning, risk assessment, and overall organizational performance. The study also identified several debiasing techniques, including awareness training and structured decision-making frameworks, which show promise in mitigating the impact of cognitive biases. This study provides a comprehensive and up-to-date synthesis of research on cognitive biases in principal decision-making, offering a holistic view of the field’s current state. It uniquely combines insights from cognitive psychology, behavioural economics, and management science to provide a multidisciplinary perspective on the topic. The study contributes to both theory and practice by offering a structured understanding of how cognitive biases influence principal decision-making. It provides valuable insights for principals and organizations to improve their decision-making processes and highlights areas for future research in this critical field. The findings can inform the development of more effective principal training programs and decision support systems.

Therapeutic Peptides Encapsulated into Lipid-Based Nanovesicles: Scaling from Lab to Plant

Lipid-based peptide-encapsulated nanovesicles represent a cutting-edge approach in drug delivery systems, offering enhanced stability, targeted delivery, and controlled release of therapeutic peptides. This review explores the comprehensive science and techniques behind the robust formulation and analytical methods for these nanovesicles, spanning from lab-scale research to large- scale manufacturing. Critical aspects include lipid selection, detailing how the choice of lipids impacts the stability and efficacy of the nanovesicles, and various peptide encapsulation techniques, emphasizing methods to achieve high encapsulation efficiency and controlled release. Key processes in vesicle formation, such as thin film hydration, sonication, and microfluidics, are discussed to highlight their roles in producing nanovesicles with consistent size and morphology. The importance of stability studies, including physical, chemical, and thermal assessments, is underscored. Analytical techniques such as Dynamic Light Scattering (DLS), Zeta Potential measurement, High-Performance Liquid Chromatography (HPLC), and Mass Spectrometry (MS) are detailed, showcasing their crucial roles in characterizing nanovesicles and ensuring their quality, safety, and efficacy for pharmaceutical use. The review addresses the challenges and solutions associated with scaling up production, including maintaining consistent product quality, optimizing manufacturing processes, and controlling production costs. It also navigates the regulatory landscape, discussing the stringent guidelines set by agencies such as the FDA and EMA and the necessity of strategic regulatory planning to facilitate market approval. This comprehensive review aims to serve as an in-depth resource for experts in the field, aiding in the translation of lipid-based peptide-encapsulated nanovesicle formulations from bench to bedside, ultimately enhancing therapeutic outcomes and expanding treatment options for various disease. Key Words: Peptide, Amino acid, Degradation, Pharmacokinetics, Peptide encapsulation, drug delivery systems, Peptide Characterization

Strategic Analysis of Information Technology Architecture With Pepprard and Ward Methods At PT. Bank XYZ

The rapid development of the digital era has placed Information Technology (IT) as a crucial element in the banking industry. PT. Bank XYZ aims to enhance its IT capabilities to achieve its business objectives and become one of Indonesia's top banks. In line with the regulatory requirements of POJK No. 11/POJK.03/2022, this research focuses on a strategic analysis of PT. Bank XYZ's IT architecture using the Pepprard and Ward methods, combined with Anita Cassidy’s approach. The research analyzes the current conditions of the bank’s IT architecture and external factors, employing PEST and Porter’s Five Forces methods, followed by a SWOT analysis to identify strengths, weaknesses, opportunities, and threats. From this analysis, strategic recommendations are provided to support the bank’s IT goals over a four-year period (2024-2028). The strategic plan consists of 19 key IT programs covering applications, data, and technology, aimed at enhancing customer experience, data quality, and infrastructure resilience. This roadmap will help PT. Bank XYZ improve its IT operations and align its technological advancements with its business objectives, positioning the bank for growth in the competitive banking sector. The research contributes practical insights into developing an IT strategy that complies with regulatory standards and supports long-term corporate goals.

Essential Characteristics for School Administrators in the Digital Age for Thailand

Introduction: It is well known that education and teaching practices are affected by technological developments. The ubiquitous spread of information and communication technologies in recent years has forced educational institutions to undergo a digital transformation so as to keep up with the today’s technological age. Educational activities have become sustainable in virtually all environments and under virtually all conditions, with interactive whiteboards having long since replaced the traditional blackboard in most schools. Changes emerging today include revised job definitions, changing patterns of daily life, and the desire for economic value; together they represent the primary results of this digital transformation. Objective: This study aims to explore the essential characteristic for school administrators in the digital age. Method: This is quantitative approach. The population was educational administrators in Thailand who are responsible for management in educational institutions. This Quantitative Research analyzed the data using Descriptive Statistics, Inference Statistic and Multivariate by IBM SPSS and Structural Equations Modeling (SEM) was analyzed by IBM SPSS AMOS. Results: 1) Government Policy (GP) 2) Performance Attribute (PA) and 3) Competent Innovation directly influence on Perceived Value. Moreover, Perceived Value directly influences on Performance Identification. Analysis of the SEM model was found to be accurate because the model is consistent with empirical data, harmonization index passed all criteria, Chi-Square = 173.53, df = 88 RMSEA = 0.04 and RMR = 0.03, index GIF = 0.96 and AGIF = 0.94 and R2/ df = 1.97. Conclusion: These findings can be used to develop academic fields such as research and strategic planning effectively and can be applied in educational industry as well, so making the product feature that meets the needs of the customer will result in the perception of the value of the product and making a purchase decision. This finding has benefits on human resources development and school management and school administrators as well.

An Analysis of the Economic and Policy Impacts of the Belt and Road Initiative on Participating Countries: A Case Study of Pakistan, Djibouti, and Sri Lanka

Abstract: The project, which the Chinese Government calls BRI, was launched in 2013 to promote global connectivity alongside economic development through long-term infrastructure projects in Asia, Europe and Africa. This paper assesses how the growth of BRI has impacted several beneficiary countries through case studies in Pakistan, Djibouti and Sri Lanka. In Pakistan, CPEC stimulated economic growth by promoting infrastructure development. The port development in Djibouti was facilitated by BIS funds, transforming the city into a major trading hub. In Sri Lanka, the Hambantota port project illustrates the problems of increasing debt and political constraints. This comparison of BRI projects in different countries reveals a range of achievements, but also challenges common to the public sector, such as debt management, economic dependency and the strategic implications of foreign investment. recommendations for optimizing BRI performance include strategic planning and diverse partnerships include. This study highlights the complex dynamics of large-scale international development initiatives between states and their relevance for participating countries.

Enabling crowdfunding platforms in Qatar: a regulatory framework for growth and sustainable innovation based on network analysis and Monte Carlo simulation

Purpose This study aims to explore the structure and dynamics of Qatar’s crowdfunding ecosystem to support economic diversification and enhance entrepreneurial activities. This research focuses on analyzing the development of the industry, its regulatory environment and the collaborative dynamics among stakeholders. Design/methodology/approach This study used network analysis and Monte Carlo simulations to examine the interplay between various stakeholders, including entrepreneurs, to understand their roles and interconnections. This study also simulated different economic scenarios to evaluate the potential impact of crowdfunding under various market conditions and regulatory frameworks. Findings The analysis reveals a moderate level of crowdfunding activity characterized by conservative fundraising outcomes. The key factors identified include the pivotal role of a supportive regulatory framework and the necessity of robust stakeholder collaboration and infrastructure to ensure the industry’s resilience and growth. Research limitations/implications The findings are constrained by the simulated scenarios and the current state of the crowdfunding market in Qatar, suggesting that further research could explore emerging trends as the market evolves. Practical implications This study provides actionable recommendations for policymakers and regulatory authorities to boost a conducive environment for crowdfunding platforms. This includes enhancing connectivity among stakeholders and building robust infrastructure to support industry growth. Social implications This study underlines the significant social benefits of crowdfunding, including promoting innovation, supporting economic growth and facilitating entrepreneurship. These elements are vital to Qatar’s broader economic diversification strategy. Originality/value This study provides original insights into the crowdfunding landscape in Qatar, particularly in terms of strategic planning and risk management, using advanced simulation techniques to predict the outcomes of different regulatory and economic scenarios.

Exploring the barriers to the development of organizational health literacy in health institutions to meet the needs of older patients from multiple perspectives: a mixed-methods study

BackgroundThe latest evidence on health literacy in China revealed that only 8% of individuals aged 65–69 years, a segment of the geriatric population, possess adequate health literacy levels, indicating a low level in China. Studies have demonstrated that improving the organizational health literacy of healthcare institutions is a crucial approach to addressing low health literacy among older patients.ObjectiveTo explore the obstacles hindering the advancement of organizational health literacy in healthcare institutions in meeting the needs of older patients.DesignA mixed-methods approach was employed to investigate both the status and barriers to the establishment of organizational health literacy within two healthcare institutions.ParticipantsParticipants included older individuals aged over 60, clinical staff, and managerial personnel from these two health institutions.MethodsThis research utilized the social-ecological model as its theoretical foundation and utilized a mixed-methods approach to examine the current status and challenges in developing organizational health literacy within healthcare institutions. Initially, a survey using a questionnaire (n = 178) was conducted among older patients to evaluate the establishment of organizational health literacy from their perspective. Following this, interviews (n = 22) were carried out with administrators, clinical personnel, and elderly patients to identify the barriers hindering the development of organizational health literacy within healthcare institutions.ResultsQuantitative research indicates that health institutions have been less accommodating to the requirements of older patients, with health information dissemination and communication emerging as the weakest areas. Qualitative investigations revealed three key influencing factors: patient-related factors, including physiological and cognitive decline, as well as low educational attainment among older patients; organizational factors, including inadequate clinical staff numbers, deficient long-term systematic training, and a digital divide resulting from health institutions’ digital advancements; and policy-related factors indicating a lack of regulations governing the establishment of organizational health literacy within healthcare institutions.ConclusionThe two most vulnerable aspects of OHL in medical institutions regarding the needs of older patients are health information and communication. The factors influencing the construction of OHL in medical institutions are multifaceted, encompassing micro, meso, and macro levels. At the macro level, it is essential for medical institutions to enhance leadership awareness of OHL and to incorporate its development into institutional strategic plans. At the meso-level, medical institutions should be made to optimize the medical environment for elderly patients and to prioritize health literacy training for medical staff. At the micro level, attention must be given to the characteristics and needs of elderly patients. Ultimately, by implementing a comprehensive construction of intervention strategies, the response ability of medical institutions to the needs of elderly patients can be enhanced.

Establishing the Institute of Independent Evaluation of Higher Education in the Russian Federation

The paper presents the results of the search, systematization and analysis of independent higher education evaluation systems that have been developed in the country in the recent decade. The research has been carried out using standardised evaluation mechanisms that adhere to the criteria of mass scale, openness, and stability. The analysis of the independent evaluation of higher education’s present situation revealed certain inconsistencies between the legislative and regulatory framework and real practice. It should be emphasised that, while different processes have now been developed for this type of evaluation, they still require enhancement. The assessment mechanisms themselves need to undergo an external, independent evaluation to ensure their reliability, integrity, and trustworthy evidence. It has been indicated that independent evaluation procedures have jointly developed into a system: the institution of independent evaluation. This system is characterised by integrity, orderliness, and definite linkages. One may consider the aggregating technology of the aforementioned evalu-ations to be the synergistic outcome of the system’s establishment. In order to achieve a synergistic effect on the evaluation of all higher education institutions and educational programmes in the country, the authors suggest a method for aggregating the outcomes of the described evaluation procedures. The obtained research outcomes prove their applicability to the internal and external evaluation of a higher education institution’s performance and to the strategic planning of the development of both the institution and the higher education system.

The Strategic Plan of the Working Day

“The Working Day” chapter of Capital makes sense today as an illustration of collective struggle over the sale of labor power by the hour. The historical materials in the chapter are instructive if read under the tutelage of Gertrud Kugelmann, considering the advice Karl Marx offers to her on where to start. A reassessment of Marx’s writing process is possible via his various plans in letters, his comments on method, the various sources used, and evaluating the role they have in Capital volume 1. Several scholars read Marx on commodities that “speak” but may sometimes miss idioms in English translation. Reading the German text can help us when searching for theoretical and political strategies for contemporary emancipation. With implications for replies to critics of Marx on slavery, my case is that the staging in Capital offers diagnostic potential where attention to the Parliamentary Blue Books might generate new research agendas, addressing current problems of time, social reproduction, climate, and class struggle. JEL Classification: B14

Analysis of Management Practices in A Non-Governmental Organization

Objective: This research sought to analyze the current practices of an NGO in the city of São José dos Campos, which works to assist children and adolescents with disabilities, with the aim of identifying opportunities for improvement in this management tool. Theoretical Framework: The economic and social conditions of part of the Brazilian population demand a level of welfare that the government is unable to provide. People with financial and health needs depend on some form of assistance to achieve minimum survival conditions. In this context, non-governmental organizations (NGOs) acquire fundamental importance for this population. Method: The methodology adopted used descriptive research, through a case study. Data collection was carried out through semi-structured interviews. Results and Discussion: The results were used to identify the main flaws in the application of the NGO's strategic planning, from the point of view of its managers. Research Implications: The practical and theoretical implications of this research show that strategic planning in organizations requires a formal structure to minimize risks to its survival. Originality/Value: This study contributed to corroborating that strategic planning is a fundamental tool for the success of these organizations, however, they must comply with implementation criteria to obtain the best results.