Quantitative Indicators Research Articles

대학 정량지표를 통해 본 대학혁신지원사업의 성과와 시사점

Objectives This study analyzed the performance of university innovation support projects through quantitative in-dicators of universities. Methods A paired t-test method and one-way analysis of variance were used as research methods. Results As a result of the analysis, the acquisition rate of full-time teachers and the recruitment rate of students were lower than before the university innovation support project, while the education cost reduction rate, the total number of courses per student, the appropriateness of the lecture size, the recruitment rate of new students, and the employment rate of graduates were higher than before the university innovation support project. The recruit-ment rate of enrolled students and the employment rate of graduates were higher in the metropolitan area than in the non-metropolitan area. According to the university size, there was no difference in the rate of change in all indicators except for the enrollment rate, and in the case of the enrollment rate, large universities performed better than those that did not. Conclusions This study is significant in that it has confirmed that the university innovation support project is ach-ieving quantitative as well as qualitative performance of various university innovations, and balances according to university regional conditions and size.

Integrating gender in microfinance: Identifying strategies for women's empowerment across different institutional models

The issue of microfinance and women's empowerment has been intensely debated in the last two decades or more. Most of the debates have been about whether microfinance leads to empowerment in the context of specific programmes. Many impact studies focus on specific quantifiable indicators, whether economic or social. This paper moves beyond such debates to understand which strategies work to create empowerment and how. It looks at three institutional models of microfinance across the minimalist and credit plus spaces to identify gender specific and other strategies which enable experiences of empowerment for members of microfinance institutions. Instead of quantitative indicators or specific achievements, the paper explores dimensions and processes of empowerment such as solidarity, leadership and challenge to patriarchal ideology. Although the study is located in a certain district of West Bengal, a state in India, the observations and findings have relevance globally because similar institutional models and strategies are present across the world, especially in the Global South.

Bibliometric Analysis of Scientific Publications on Communicative Behavior Problems

Purpose of research. The purpose of the study is to analyze the dynamics of the publication activity of scientific research in the field of studying communicative behavior. Communicative behavior is an object with an interdisciplinary research status. It falls into the area of research interest of various scientific fields. A bibliometric analysis of publication activity was carried out in connection with solving several tasks: to find out areas of knowledge in which the greatest publication activity is concentrated, to study the methods that are used in various fields of communicative behavior analysis, to identify organizations that are included in this research search.Methods. The study was conducted in two scientific electronic databases: the Russian Scientific Electronic Library Elibrary.ru and the international open platform for researchers and scientific organizations Lens. The bibliometric analysis was used as the research method. It involves the quantification of documentary information flows and it is based on quantitative research indicators reflecting the state of science as a whole or its individual branches.Results. As a result of the bibliometric analysis of publication activity on the problems of scientific research in the field of communicative behavior, communicative behavior in the digital environment and communicative behavior in social networks, a significant increase in publication activity was revealed in both international and Russian information databases over the past 10 years (2013 - 2023). It is also noted that the predominant number of publications on the issues studied is concentrated in the field of psychology. However, we can trace a shift in the focus of foreign research on communicative behavior towards digitalization in information technology, and Russian research towards the field of digital technologies in the educational environment.Conclusion. The results obtained indicate the high relevance, as well as the scientific and practical significance of the research topic on the problems of communicative behavior in general, as well as communicative behavior in the digital environment and social networks, in particular.

SUBSTANTIATION OF THE PONTOON-CABLE BRIDGE STRUCTURE FROM THE TENSEGRITY CONCEPT POINT OF VIEW

Purpose. The purpose of this work is to conduct an analysis of the tensegrity concept implementation, as well as the study of already built structures and those that are currently being designed according to this principle. Also to determine main features and characteristics of tensegrity structures and to consider the previously proposed structure of the pontoon-cable bridge from the point of view of this concept. Based on the analyzed data, it is proposed to develop alternative designs of the pontoon-cable bridge. Methodology. Analysis of literary sources, data on constructed and designed bridges and other structures; analysis and synthesis of building structures elements. Findings. Based on the studied data, the main features of tensegrity, as well as the principles of numerical analysis of structures to calculate some quantitative indicators of such systems, were determined. Conclusions were made about the formal non-compliance of both the built bridges and other structures, as well as the pontoon-cable bridge with tensegrity concept. Based on the task of finding architectural forms of dome systems through cutting axisymmetric ones, an "antiderivative" symmetrical structure for a pontoon-cable bridge is proposed, which will meet the specified characteristics. Based on the study of existing cable and tensegrity structures, three alternative architectural forms for the pontoon-cable bridge were developed. Originality. Analysis of existing sources, including constructed and designed tensegrity bridges and other structures, was conducted. A summary about the feasibility and usefulness of this approach for a previously proposed pontoon-cable bridge has been made. It was concluded that, in the future, this bridge can be considered from the tensegrity point of view, provided that the introduction of some tolerances or auxiliary elements were made. Practical value. For the existing structure of the pontoon-cable bridge, after considering it from the tensegrity and other cable structures’ point of view, alternative forms are proposed that may have additional advantages for specific design or construction conditions.

Quantitative condition assessment method for rotating machinery using fuzzy neural network

Health condition assessment of rotating machinery has been a persistent challenge. Traditional condition assessment methods often rely on single features, limiting their application to comprehensively measure the health condition of rotating machinery. This study introduced a quantitative condition assessment method for rotating machinery using fuzzy neural network (FNN). Initially, multi-domain features of signals from rotating machinery are extracted to achieve comprehensive representation of signals in the feature space. To eliminate redundant information of various features, a feature dimensionality reduction method is explored based on variance variation and stacked auto-encoder. Afterward, a normalized health indicator is constructed by integrating the optimized features through FNN, and it can indicate the current conditions of rotating machinery. Furthermore, an early anomaly alarm strategy based on 3σ criterion is designed for rotating machinery. The abnormal signal will be recognized automatically when it exceeds the predetermined thresholds. Last, the effectiveness of the proposed method is validated on IMS bearing dataset and XJTU-SY bearing dataset. The results show that the proposed method can effectively obtain the quantitative indicators that reflect the operation conditions of rotating machinery and can accurately detect the early abnormal signals.

ABCD method for determination of low-temperature properties of ordinary and modified binders

Introduction. The active introduction into practice of the system of volumetric and functional design (OFP) is aimed at the large-scale development by the Russian road construction industry of advanced foreign approaches to the technology of designing asphalt concrete pavements (Superpave). One of the fundamental differences between the OFP methodology and the previously established practice of evaluating technical, technological and operational indicators of road construction materials is the introduction of new methods that characterize quantitative indicators with a high degree of accuracy, based on the actual physical, chemical and mechanical properties of the components used. Thus, as methods for assessing the low-temperature properties of bitumen binders, it is proposed to use the bending beam method (BBR), which has proven itself quite well when working with traditional (ordinary) bitumen. However, the natural and climatic conditions of operation of highways in Russia clearly require the use of binders modified with high- and low-molecular compounds, including polymers. In this study, the task of applying the ABCD method to evaluate the low-temperature parameters of ordinary bitumen and polymer-bitumen binders was realized.Materials and methods. Samples of industrial batches of petroleum road viscous bitumen (GOST 33133-2014) and polymer-modified bitumen (GOST R 52056-2003) were used as objects of research. To determine the lowtemperature parameters, an ABCD 8.0 device and an air-cooled climate chamber were used. The study of bitumen binders according to the parameters laid down in the technical requirements of GOST R 58400.11–2019 ‘Automobile roads of general use. Petroleum-based bitumen binders. Method of determining the temperature of cracking using the device ABCD’ was carried out.Results. The values of the cracking temperature for ordinary and modified bitumen binders were determined. It is shown that the low-temperature parameters of polymer-bitumen binders significantly exceed similar properties of oxidized road bitumen.Discussion and conclusions. A comparative analysis of the low-temperature properties of ordinary and modified binders obtained during their determination by the direct method enables to confirm the effectiveness of the methodology developed in GOST R 58400.11-2019 for assessing the performance of binders of various component composition in difficult climatic conditions of Russia. The effectiveness of the domestic second-generation ABCD 8.0 device for direct assessment of the cracking temperature of bitumen binders of variable composition has been confirmed.

Evaluating lumbar disc degeneration by MRI quantitative metabolic indicators: the perspective of factor analysis

PurposeThis study aimed to investigate an early diagnostic method for lumbar disc degeneration (LDD) and improve its diagnostic accuracy.MethodsQuantitative biomarkers of the lumbar body (LB) and lumbar discs (LDs) were obtained using nuclear magnetic resonance (NMR) detection technology. The diagnostic weights of each biological metabolism indicator were screened using the factor analysis method.ResultsThrough factor analysis, common factors such as the LB fat fraction, fat content, and T2* value of LDs were identified as covariates for the diagnostic model for the evaluation of LDD. This model can optimize the accuracy and reliability of LDD diagnosis.ConclusionThe application of biomarker quantification methods based on NMR detection technology combined with factor analysis provides an effective means for the early diagnosis of LDD, thereby improving diagnostic accuracy and reliability.

КОЛИЧЕСТВЕННЫЕ И КАЧЕСТВЕННЫЕ ПОКАЗАТЕЛИ ФАКТОРОВ И УСЛОВИЙ РАЗВИТИЯ АЛЬТЕРНАТИВНОЙ ЭНЕРГЕТИКИ СТРАН МИРА

Alternative energy covers the modern energy sub-sector in many countries. It develops in accordance with the choice of choice and the environment, among which, according to the authors, the natural resource factor, socio-economic, environmental and environmental conditions are important. In previous works, the authors discovered both external factors and conditions that monitor the alternative energy development. In this study, an attempt was made to determine the quantitative and qualitative indicators of these factors and conditions, which made it possible to establish the prerequisites for the alternative energy development in countries around the world.

A new approach for environmental damage assessment pursuant to the European Union Environmental Liability Directive.

The European Union and Member States national laws require competent authorities to promptly and effectively address environmental incidents, noncompliances, and criminal offenses, necessitating thorough planning of investigation and assessment activities. To enhance environmental damage assessments in line with the European Environmental Liability Directive (ELD, 2004/35/EC), the European Union Network for the Implementation and Enforcement of Environmental Law (IMPEL Network) has introduced the Criteria for the Assessment of the Environmental Damage (CAED) framework. This framework, outlined in a Practical Guide, offers a methodological approach to environmental damage assessment (EDA) focusing on three key objectives: case screening, identification of "clues" of damage, and determination of "evidence" of damage. Given the critical importance of structured data collection and evaluation, the CAED project has adopted a Driver, Pressure, State, Impact, and Response (DPSIR) model adapted to environmental damage and developed the Practical Tables. These tables serve as a comprehensive tool for systematically identifying investigative priorities and collecting standardized data and information using a predefined list of qualitative or quantitative indicators. This article provides an overview of the Practical Guide and Practical Tables, collectively referred to as the CAED Toolkit, aiming to establish a common framework for environmental damage assessments among various competent authorities and stakeholders across Europe. Integr Environ Assess Manag 2024;00:1-10. © 2024 SETAC.

Practical Applications of a Participatory Science Project Evaluation Tool: Perspectives from Across Earth and Space Science

While traditional science often focuses on peer-reviewed scientific publications and citations to gauge efficacy, citizen science projects, also called participatory science projects, span a broader range of goals, methods, and products than are capturable by such means. The Science Products Inventory (SPI) is one tool to assist with participatory science evaluation that extends beyond scientific outputs such as publications. Its use cases were limited to a cohort of projects during its initial development, so here we explored its utility and flexibility for use cases across multiple US federally-funded participatory science projects. We examined the tool’s formative and longitudinal utility, accessibility, and adaptability with contributory projects spanning different sizes, scopes, and goals. We found that the tool was easily customizable, making it suitable for individual project needs, including meeting the needs of funders for evaluation. It was easy to use, making it suitable for data gathering by non-expert evaluators, and it enabled practitioners to reflect on ways to enhance a project’s impact. We also found it useful for comparing evaluation data over time and between projects. Ultimately, citizen science includes elements across various dimensions that can be examined using quantitative indicators—like those in the SPI—and qualitative means. A combination of evaluation approaches could be appropriate for individual project goals and stakeholders, but we show how the simplicity and customizability of the SPI can provide benefits across a range of projects and programs.

FIWARE-Compatible Smart Data Models for Satellite Imagery and Flood Risk Assessment to Enhance Data Management

The increasing rate of adoption of innovative technological achievements along with the penetration of the Next Generation Internet (NGI) technologies and Artificial Intelligence (AI) in the water sector are leading to a shift to a Water-Smart Society. New challenges have emerged in terms of data interoperability, sharing, and trustworthiness due to the rapidly increasing volume of heterogeneous data generated by multiple technologies. Hence, there is a need for efficient harmonization and smart modeling of the data to foster advanced AI analytical processes, which will lead to efficient water data management. The main objective of this work is to propose two Smart Data Models focusing on the modeling of the satellite imagery data and the flood risk assessment processes. The utilization of those models reinforces the fusion and homogenization of diverse information and data, facilitating the adoption of AI technologies for flood mapping and monitoring. Furthermore, a holistic framework is developed and evaluated via qualitative and quantitative performance indicators revealing the efficacy of the proposed models concerning the usage of the models in real cases. The framework is based on the well-known and compatible technologies on NGSI-LD standards which are customized and applicable easily to support the water data management processes effectively.

Environmental Justice and Systems Analysis for Air Quality Planning in the Port of Oakland in California.

Many frontline communities experience adverse health impacts from living in proximity to high-polluting industrial sources. Securing environmental justice requires, in part, a comprehensive set of quantitative indicators. We incorporate environmental justice and life-cycle thinking into air quality planning to assess fine particulate matter (PM2.5) exposure and monetized damages from operating and maintaining the Port of Oakland, a major multimodal marine port located in the historically marginalized West Oakland community in the San Francisco Bay Area. The exposure domain for the assessment is the entire San Francisco Bay Area, a home to more than 7.5 million people. Of the more than 14 sources included in the emissions inventory, emissions from large container ships, or ocean-going vessels (OGVs), dominate the PM2.5 intake, and supply chain sources (material production and delivery, fuel production) represent between 3.5% and 7.5% of annual intake. Exposure damages, which model the costs from excess mortalities resulting from exposure from the study's emission sources, range from USD 100 to 270 million per annum. Variations in damages are due to the use of different concentration-response relationships, hazard ratios, and Port resurfacing area assumptions. Racial and income-based exposure disparities are stark. The Black population and people within the lowest income quintile are 2.2 and 1.9 times more disproportionately exposed, respectively, to the Port's pollution sources relative to the general population. Mitigation efforts focused on electrifying in-port trucking operations yield modest reductions (3.5%) compared to strategies that prioritize emission reductions from OGVs and commercial harbor craft operations (8.7-55%). Our recommendations emphasize that a systems-based approach is critical for identifying all relevant emission sources and mitigation strategies for improving equity in civil infrastructure systems.

Medical researchers’ perceptions regarding research evaluation: a web-based survey in Japan

ObjectivesJapanese medical academia continues to depend on quantitative indicators, contrary to the general trend in research evaluation. To understand this situation better and facilitate discussion, this study aimed to examine...

Research on Quantitative Expression of Priority for Imaging Satellite Requirements

This article conducts a quantitative expression study on the priority of imaging satellite requirements to address the issue of quickly and scientifically sorting user imaging requirements. Firstly, a priority evaluation system for imaging requirements was constructed by comprehensively considering factors such as user level, importance of requirements, observation efficiency, and urgency. Secondly, quantitative indicators were provided for the relative importance of various elements that affect the priority of satellite requirement through expert scoring, and a judgment matrix for the priority evaluation system was established. Finally, the weight coefficient vector of the evaluation system was solved using the principle of minimum square difference. A quantitative expression for imaging satellite requirement priority was constructed based on the weighted sum method. The effectiveness of the quantitative expression for imaging satellite requirement priority was verified through experimental data, effectively solving the problem of imaging requirement selection when satellite resources are insufficient.

Hospital performance evaluation indicators: a scoping review.

Hospitals are the biggest consumers of health system budgets and hence measuring hospital performance by quantitative or qualitative accessible and reliable indicators is crucial. This review aimed to categorize and present a set of indicators for evaluating overall hospital performance. We conducted a literature search across three databases, i.e., PubMed, Scopus, and Web of Science, using possible keyword combinations. We included studies that explored hospital performance evaluation indicators from different dimensions. We included 91 English language studies published in the past 10 years. In total, 1161 indicators were extracted from the included studies. We classified the extracted indicators into 3 categories, 14 subcategories, 21 performance dimensions, and 110 main indicators. Finally, we presented a comprehensive set of indicators with regard to different performance dimensions and classified them based on what they indicate in the production process, i.e., input, process, output, outcome and impact. The findings provide a comprehensive set of indicators at different levels that can be used for hospital performance evaluation. Future studies can be conducted to validate and apply these indicators in different contexts. It seems that, depending on the specific conditions of each country, an appropriate set of indicators can be selected from this comprehensive list of indicators for use in the performance evaluation of hospitals in different settings.

Environmental-structure-perception-based adaptive pose fusion method for LiDAR-visual-inertial odometry

Environmental-structure-perception-based adaptive pose fusion method for LiDAR-visual-inertial odometry

Dynamic Mode Decomposition for Transient Cavitation Bubbles Imaging in Pulsed High-Intensity Focused Ultrasound Therapy.

Pulsed high-intensity focused ultrasound (pHIFU) can induce sparse de novo inertial cavitation without the introduction of exogenous contrast agents, promoting mild mechanical disruption in targeted tissue. Because the bubbles are small and rapidly dissolve after each HIFU pulse, mapping transient bubbles and obtaining real-time quantitative metrics correlated with tissue damage are challenging. Prior work introduced Bubble Doppler, an ultrafast power Doppler imaging method as a sensitive means to map cavitation bubbles. The main limitation of that method was its reliance on conventional wall filters used in Doppler imaging and its optimization for imaging blood flow rather than transient scatterers. This study explores Bubble Doppler enhancement using dynamic mode decomposition (DMD) of a matrix created from a Doppler ensemble for mapping and extracting the characteristics of transient cavitation bubbles. DMD was first tested in silico with a numerical dataset mimicking the spatiotemporal characteristics of backscattered signal from tissue and bubbles. The performance of DMD filter was compared to other widely used Doppler wall filter-singular value decomposition (SVD) and infinite impulse response (IIR) high-pass filter. DMD was then applied to an ex vivo tissue dataset where each HIFU pulse was immediately followed by a plane wave Doppler ensemble. In silico DMD outperformed SVD and IIR high-pass filter and ex vivo provided physically interpretable images of the modes associated with bubbles and their corresponding temporal decay rates. These DMD modes can be trackable over the duration of pHIFU treatment using k-means clustering method, resulting in quantitative indicators of treatment progression.

A novel method for predicting coarse aggregate particle size distribution based on segment anything model and machine learning

Particle size distribution (PSD) is an important index property of granular materials. The conventional mechanical sieve analysis for PSD determination is labor-intensive, time-consuming, and inefficient. With the development of computer vision, image-based gradation prediction methods gradually emerge. However, previous studies mainly focused on images where individual aggregate particles are separated from each other without overlapping (i.e., not densely packed together), thus limiting their applicability. This study proposed a novel framework to predict the PSD of densely packed coarse aggregate particles, which is based on visual foundation model and machine learning with appropriate feature engineering. First, the segment anything model, which is one of the visual foundation models, was used for the instance segmentation of the densely packed aggregate particles. Then, the feature engineering was implemented with the segmentation result. The major quantitative indicators related to particle sizes were extracted from each mask, such as the area, the diameter of minimum enclosing circle, and the major axes of the equivalent ellipse of particle contours. Subsequently, the cumulative distribution curves of these indicators were plotted, followed by the data sampling operation on these curves to generate the feature vectors. The artificial neural network (ANN) model was then trained for gradation prediction with each of the feature vectors and the data points extracted from PSD curves used as the inputs and data labels, respectively. The model-training dataset consisted of 8160 different sets of digitally generated particle samples with known PSDs. Finally, verification test results of additional five different groups of digital particle samples and real coarse aggregate samples with known PSDs show that the root mean squared error (RMSE) of predicted aggregate sizes is 1.79 mm and 1.86 mm for digital and real aggregate particle samples, respectively. Therefore, the efficacy and feasibility of the proposed method was validated in terms of predicting the PSD of densely packed coarse aggregates from two-dimensional image information. As compared to the Mask RCNN combined with empirical formula of which the RMSE values were 5.12 mm and 5.84 mm for digital and real aggregate particle samples, respectively, the proposed framework demonstrates improved particle segmentation applicability and better PSD prediction accuracy.

ИССЛЕДОВАНИЕ СЕКРЕЦИИ ЭРИТРОПОЭТИНА У БОЛЬНЫХ ВИЧ-ИНФЕКЦИЕЙ С АНЕМИЕЙ ХРОНИЧЕСКИХ ЗАБОЛЕВАНИЙ, ЖЕЛЕЗОДЕФИЦИТНОЙ АНЕМИЙ И СОЧЕТАНИЕМ ДВУХ ТИПОВ АНЕМИЙ

Aim. To compare the secretion of erythropoietin in patients with infection caused by human immune deficiency virus (HIV infection) with anemia of chronic diseases (ACD), iron deficiency anemia (IDA), and their combination. Material and methods. 125 patients with HIV infection were examined: 101 with anemia (55 males, 46 women, 39.4±9.6 years), 24 - a control group of patients with HIV infection without anemia (13 males, 11 women, average age 37.6± 7.37 years). In all patients, the number of red blood cells, the concentration of hemoglobin, ferritin, C-reactive protein (CRP), transferrin saturation index (TSI) and erythropoietin were examined. All patients with anemia after determining TSI, CRP, ferritin based on Van Santen and Worwood criteria were divided into three groups depending on the type of anemia: group 1 - 36 patients with ACD (19 males, 17 women, average age 41.7 ± 11, 8 years, TSI 16.9[IQR, 10.2-23.1]%, ferritin 638.7[IQR, 326-861] μg/l, CRP 54.5 [IQR, 4.8-103.3] mg/l), group 2 – 30 patients with a combination of ACD/IDA (18 males, 12 women, average age 41.2±10 years, TSI 13.2[IQR, 9.8-14]%, ferritin 156.2 [IQR, 123-235] mcg/l, CRP 5.9 [IQR, 0.5-8.2] mg/l), group 3 – 35 patients with IDA (18 males, 17 women, average age 35.4 ±7.1 years, TSI 11.1[IQR, 4.7-13.7]%, ferritin 29[IQR, 4.2-38.9] µg/l, CRP 2.9[IQR, 0.4 -1.6] mg/l). For quantitative indicators, the median (Me), standard error of the mean (m), and interquartile range (IQR) were calculated. The significance of differences between several unrelated groups was determined using the Kruskal-Wallis test. Results. In the ACD group, a lower number of red blood cells was detected (3.3(2.7-3.8)×1012/l), compared to the group of patients with IDA (3.8(3.7-4.1)×1012/l ). Also, in the group of patients with ACD, the maximum concentration of erythropoietin was detected (28.5[11.2-28.5], U/ml), significantly higher than the concentration of this indicator in the ACD/IDA groups (14[8.1-16.3], U/ml), IDA (15.8[6.2-27.4], U/ml) and patients in the control group (6.3[4.9-7.8], U/ml). Conclusions. In the present study, ACD in isolated form or in combination with IDA was diagnosed in 65.3% of patients with HIV infection and anemic syndrome. In patients with ACD, an increased concentration of erythropoietin is combined with the lowest number of red blood cells in comparison with other groups of patients with anemia (p<0.05). The results obtained indicate a compensatory increase in erythropoietin secretion in response to suppressed erythropoiesis, or to reduced sensitivity of erythropoietin receptors. Further study of the importance of erythropoietin in the pathogenesis of chronic disease in patients with HIV infection is necessary, including to improve its treatment.

PERSONNEL CERTIFICATION AS A COMPANY DEVELOPMENT STRATEGY

The purpose of this article is to explore how personnel certification serves as a strategic tool for organisational development. It examines the importance of certifying employees as a means of enhancing organisational capability and competitiveness. By examining the role of certification in improving employee skills and knowledge, the article sheds light on its impact on organisational performance and growth. It also discusses how certified personnel contribute to building a skilled workforce, fostering innovation and meeting industry standards. Overall, the article highlights the importance of personnel certification as a proactive approach to advancing organisational development goals. The object of the study is the process of personnel certification and its impact on the company's development. Methodology. The use of an integrated method helps to eliminate formalism and subjectivity in personnel certification, increase openness and objectivity in the assessment, and stabilise the social and psychological climate in the team. When applying this method, a prerequisite is the unconditional support of the first manager, who should lead the personnel certification and implement its results through the HR services. Without it, certification will be formal and will not yield positive results. The comprehensive method of personnel evaluation integrates various assessment techniques to provide a holistic understanding of an individual's skills, competencies and performance within an organisation. It takes into account multiple factors such as job performance, behavioural characteristics and growth potential, allowing for a thorough analysis of an employee's contribution to the organisation. The comprehensive method of personnel evaluation is based on the use of groups of methods: descriptive method (biographical method; method of oral and written assessments, method of group discussions, method of standards, matrix method and method of free and compulsory choice of assessment situations); combined methods are methods based on the descriptive principle, but formalised with the help of conventional quantitative indicators (sum of scores method, method of specified groupings, testing). Research results. Evaluating personnel performance helps to attract and retain highly skilled and motivated employees, while analysing the effectiveness of recruitment strategies and methods will help to attract talented employees. Practical implications. The use of personnel evaluation methods will allow to understand how personnel certification contributes to creating a positive working environment and increasing the level of employee satisfaction; to study the impact of personnel certification strategies on the company's reputation among employees; to formulate specific recommendations for practical managers and personnel specialists for the successful implementation of personnel certification strategy; to develop strategic solutions aimed at increasing the competitiveness and stability of the company. Value/Originality. Personnel certification helps to improve internal and external communication, which contributes to a more effective exchange of information and helps to maintain unity among employees; it allows companies to adapt to changes in the labour market, creating attractive conditions for employees in new conditions. In general, effective personnel certification is determined by the ability not only to attract but also to retain talented employees, thus contributing to the sustainable development of the company in a competitive business environment.