Establish Performance Indicators Research Articles

Application of Rapid Application Development Method in Designing a Knowledge Management System to Improve Employee Performance in National Construction Company

This research aims to learn how to create and implement a web-based knowledge management system to enhance worker productivity. This study uses literature reviews, interviews, and observation to collect data. The system development methodology used in the research was called Rapid Application Development (RAD). The study's findings suggest that knowledge management and documentation have significantly benefited from this research. The employee knowledge documentation process can be centrally and methodically recorded thanks to implementing the knowledge management system (KMS) used in this study. This improves the efficiency of the time spent conducting knowledge searches. The findings of this study allow staff members to log into the system directly. This technology will enable employees to organize, store, and transfer knowledge effectively. In line with the established key performance indicators (KPIs), having a knowledge management system improves employee performance overall. Employees can access knowledge from anywhere with flexibility when a web-based knowledge management system is implemented, thanks to MySQL database storage and PHP programming. Workers have access to and can contribute to the organization's information, which encourages high flexibility and supports worker mobility. In general, it is intended that the creation of this knowledge management system will serve as a valuable means of advancing knowledge management. Implementing this system is expected to increase employee productivity and performance while optimizing the use of knowledge owned by the company.

Internet marketing as a promising direction of marketing communications

The article discusses the issues related to conducting marketing activities on the Internet. The authors examine the approaches to conducting marketing activities on the Internet and highlight the main strategies for interaction between organizations based on digital platforms. The interaction of organizations with consumers on the Internet is considered within the framework of providing content, a system of customer relationships, as well as search and display advertising. The authors analyze the main models of payment for media advertising on the Internet and conclude that it is necessary to control the advertising activities carried out within the framework of established key performance indicators.

청년 니트 결정요인

Youth period is a period of life in which individuals strive to design and realize their dreams and hopes. Recent profound changes in society, technology, the economy, ecology and environment, and politics have posed a crisis in youth employment and, if mishandled, can lead them into a state of NEET (Not in Education, Employment, or Training). In this study, we aimed to analyze the main factors contributing to youth NEET status, considering not only general demographic background information but also socio-economic variables such as self-efficacy, parents' occupation and education, housing type and residence, and financial independence from parents. To do this, we utilized data from the Korean Employment Information Service's Youth Panel from 2007 to 2015-2022 and conducted empirical analysis using logistic regression models.
 The analysis results indicated that, in general, young individuals with lower self-efficacy were more likely to transition into NEET status. Additionally, young adults who were financially dependent on their parents and lived with them were more likely to become NEETs. Regarding housing environment, it was found that young adults living in apartments or detached houses had a higher probability of becoming NEETs. Furthermore, the probability of NEET status was higher for males compared to females, and regional differences showed that young adults residing in the Jeolla-Gwangju region had a higher probability of NEET status.
 The implications of this study are as follows. Firstly, policy programs that can prevent youth unemployment (NEET) should be activated. Secondly, it is necessary to strengthen the content of the subject and establish performance indicators to enhance self-efficacy in the knit prevention policy program. Thirdly, a tailored industry development policy that takes into account regional characteristics, along with strategic Human resource development(HRD) in the field of education and training, should be implemented to improve youth employment opportunities. Lastly, it is recommended to establish a fair recruitment and talent management culture based on competencies rather than academic qualifications, along with policies to alleviate excessive wage gaps between job positions. A holistic approach to youth housing and employment policies was also suggested.

АЛГОРИТМ ВИБОРУ БІТУМУ ПІД ЧАС ПРОЄКТУВАННЯ КОНСТРУКЦІЇ ДОРОЖНЬОГО ОДЯГУ

Introduction. Asphalt concrete is the most common material for arranging road pavement layers. The significant advantages of asphalt concrete include high performance characteristics, relatively high technical indicators, suitability for regeneration, etc. At the same time, asphalt concrete also has disadvantages, one of which is the significant dependence of strength and deformation characteristics on ambient temperature. Problem statement. Currently, there are no clear criteria for the selection of bitumen in Ukraine that would take into account the conditions of asphalt concrete in the design of pavement structure, but the first steps are already being taken in this direction. The purpose of this work was to practically determine the required properties of bitumen in accordance with the previously proposed algorithms. Objective. Practical determination of the required properties of bitumen in accordance with the previously proposed algorithms. Materials and methods. Analysis of the algorithm for determining the required properties of bitumen, climatic conditions of asphalt concrete and calculation of the required bitumen grade when designing a pavement structure. Results. Suggestions for improving the algorithm for selecting bitumen when designing a pavement structure are provided. An analysis of the climatic conditions of asphalt concrete operation and the calculation of the required bitumen grade according to performance indicators when designing a pavement structure for a conditional road section were performed. A system for selecting bitumen by penetration classification based on established performance indicators is proposed. Conclusions. The proposed algorithm for determining the required bitumen grade when designing a pavement structure can be used to determine the bitumen grade both by performance and penetration classification.

Classification of Adverse Events in Adult Surgery.

Successful surgery combines quality (achievement of a positive outcome) with safety (avoidance of a negative outcome). Outcome assessment serves the purpose of quality improvement in health care by establishing performance indicators and allowing the identification of performance gaps. Novel surgical quality metric tools (benchmark cutoffs and textbook outcomes) provide procedure-specific ideal surgical outcomes in a subgroup of well-defined low-risk patients, with the aim of setting realistic and best achievable goals for surgeons and centers, as well as supporting unbiased comparison of surgical quality between centers and periods of time. Validated classification systems have been deployed to grade adverse events during the surgical journey: (1) the ClassIntra classification for the intraoperative period; (2) the Clavien-Dindo classification for the gravity of single adverse events; and the (3) Comprehensive Complication Index (CCI) for the sum of adverse events over a defined postoperative period. The failure to rescue rate refers to the death of a patient following one or more potentially treatable postoperative adverse event(s) and is a reliable proxy of the institutional safety culture and infrastructure. Complication assessment is undergoing digital transformation to decrease resource-intensity and provide surgeons with real-time pre- or intraoperative decision support. Standardized reporting of complications informs patients on their chances to realize favorable postoperative outcomes and assists surgical centers in the prioritization of quality improvement initiatives, multidisciplinary teamwork, surgical education, and ultimately, in the enhancement of clinical standards.

Assessing the effectiveness of performance indicators in health organisations and professionals

Several questions have been raised regarding the credibility, and consequent real value, of the assessment of professional performance as a management tool, considering that there are reports of situations in which the professionals are being evaluated based on objectives to be accomplished rather on the excellence of the performance of their task. As such, this study aims to analyse the introduction of metrics for evaluating the performance of health professionals' performance indicators, and to identify the changes resulting from the introduction of performance indicators in the evaluation of physicians. Results reveal that physicians feel conditioned in the exercise of their professional activity by the need to comply with established performance indicators. Furthermore, it was also found that the cost reduction in primary healthcare may be insignificant when compared to the increase in secondary healthcare costs.

A conceptual framework for a value‐based sustainability balanced scorecard

AbstractSustainability balanced scorecard (SBSC) is a management system that can translate strategy into the company's operations. However, based on previous research, a gap states that using SBSC gives birth to many performance indicators. Therefore, we need a framework that can formulate performance indicators to be more proportional to using company resources. For this reason, this research proposes a value framework adopted from six business process values. These six values ​​are efficiency, quality, agility, integration, compliance, and networking. This study aims to prove that these six values ​​can be used as SBSC values. So that will be obtained A Conceptual Framework for a Value‐Based Sustainability Balanced Scorecard. The methodology explored three state‐owned plantation enterprise in Indonesia and analyzed data using qualitative research coding. The result shows that there are 11 criteria for efficiency, 11 for quality, seven for agility, 12 for compliance, eight for integration, and nine for networking. These criteria have a 100% validation level where the value criteria are found in each company. The performance indicator criteria have been assessed based on the level of relevance test from managers who say that it is almost 100% important and very important. The criteria that have been grouped against these values ​​have proven that the six values ​​can be used to direct managers in formulating company performance indicators so that the established performance indicators are expected to allocate resources proportionally.

Toward a post‐neoliberal social citizenship?

Toward a post‐neoliberal social citizenship?

Performance-Based Bi-Objective Retrofit Optimization of Building Portfolios Considering Uncertainties and Environmental Impacts

It is essential to assess the performance of a community under probable hazard scenarios and to provide possible performance enhancements. This requires establishing performance indicators, an assessment method, and an optimization technique to provide mitigation alternatives. In this paper, multiple performance indicators are utilized to assess the performance of a community building portfolio including loss, downtime, and environmental impact (e.g., CO2 emissions). The performance of a community is assessed by utilizing a performance-based assessment methodology. Then, the performance indicators are utilized as performance objectives to be optimized considering non-dominated sorting and crowding distance evolutionary optimization techniques. The framework utilizes retrofit alternatives for each building in a community and provides Pareto-optimal solutions for considered performance objectives given retrofit cost. This process of performance assessment and optimization is repeated by utilizing the Monte Carlo approach to consider uncertainties. Finally, the Pareto-optimal solutions are utilized to evaluate the retrofit programs for community building portfolios in terms of considered performance indicators.

Controlling Switchable Electrochromic Glazing for Energy Savings, Visual Comfort and Thermal Comfort: A Model Predictive Control

Dynamic façades play an important role in enhancing the overall performance of buildings: they respond to the environmental conditions and adjust the amount of transmitted solar radiation. This paper proposes a simulation-based framework to evaluate the energy and comfort performance of different control strategies for switchable electrochromic glazing (EC). The presented method shows the impact of a model predictive control (MPC) on energy savings and on visual and thermal comfort for different orientations compared to other strategies. Besides manual operation and conventional rule-based controls, the benchmark in this study was a simulation-based control (multi-objective penalty-based control) with optimal performance. The hourly results of various control cases were analyzed based on the established performance indicators and criteria. The cumulative annual results show the capabilities and limitations of each control strategy for an EC glazing. For a temperate climate (Mannheim, Germany), results showed that an MPC for EC glazing provides visual and thermal comfort while saving energy of up to 14%, 37%, 37%, and 34% respectively for facing north, east, south, and west relative to the base-case.

Implementation of the learning civic community model in financial accounting learning process continuation: Economic education college student

This study aims to determine whether the Civic Community Learning model that uses the Citizenship Economics approach, which can improve the acquisition of learning outcomes and student learning activities in the Advanced Financial Accounting course, is right on the topic of accounting for branch companies in Economic Education Studies Program. The approach used in this research is qualitative. The method used is action research. Researchers are the key instrument. Data collection techniques are carried out through learning outcomes tests and rubrics for assessing student activities, data analysis is inductive, and qualitative research results emphasize meaning rather than generalization first. Establish performance indicators for the success of each given action. The data sources in this study were students in the third semester of the 2020/2021 academic year majoring in social studies education, economic education study program. This study involved 33-semester 3rd students of the economics study program for the 2020/2021 academic year. This study shows that the acquisition of student learning outcomes and student learning activities taught with the Learning Community learning model in the subject matter of Advanced Financial Accounting, Corporate Accounting Branch has increased.

Model Evaluasi Perencanaan Pembangunan di Sumatera Utara

The purpose of this study is the realization of the performance achievements of program plans and regional priority activities that have been targeted in the North Sumatra Province Regional Work Plan (RKPD) 2019. To evaluate public policies, it is necessary to measure the success of public programs and policies (effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy) Accuracy indicators are the most successful to be used in measuring the level of consistency. Meanwhile, the success of the Equity indicator is very difficult to measure, considering that the amount of the budget for programs and activities is not the same. The research design used in this study is a combination of qualitative and quantitative approaches with a dominant-less dominant design model. The results of the data obtained were carried out using descriptive-analytical methods. The results of the study showed that by looking at some of the standards used to evaluate the results of the North Sumatra province's RKPD Implementation in 2019 it showed a very good value. Evaluation of the results of regional development plans aims to achieve conformity between regional development achievements and established performance indicators. The performance indicators in question are performance indicators determined at the national, provincial, and district/city levels. So far, the measurement used by BAPPEDA of North Sumatra Province in evaluating development planning is only based on budget realization.

Custom Outlier Detection for Electrical Energy Consumption Data Applied in Case of Demand Response in Block of Buildings.

The aim of this paper is to provide an extended analysis of the outlier detection, using probabilistic and AI techniques, applied in a demo pilot demand response in blocks of buildings project, based on real experiments and energy data collection with detected anomalies. A numerical algorithm was created to differentiate between natural energy peaks and outliers, so as to first apply a data cleaning. Then, a calculation of the impact in the energy baseline for the demand response computation was implemented, with improved precision, as related to other referenced methods and to the original data processing. For the demo pilot project implemented in the Technical University of Cluj-Napoca block of buildings, without the energy baseline data cleaning, in some cases it was impossible to compute the established key performance indicators (peak power reduction, energy savings, cost savings, CO2 emissions reduction) or the resulted values were far much higher (>50%) and not realistic. Therefore, in real case business models, it is crucial to use outlier’s removal. In the past years, both companies and academic communities pulled their efforts in generating input that consist in new abstractions, interfaces, approaches for scalability, and crowdsourcing techniques. Quantitative and qualitative methods were created with the scope of error reduction and were covered in multiple surveys and overviews to cope with outlier detection.

Forecasting European Air Traffic Demand - How deviations in traffic affect ANS performance

Proven by statistical dependency of the number of controlled flights to required Air Traffic Control Officers for their surveillance, traffic forecasts influence the cost- and consequently resource planning of Air Navigation Service Providers. For efficient operations, precise prediction of the traffic demand is crucial. However, it has not yet been investigated how offsets between a predicted and the actual traffic affect established performance indicators in European Air Traffic Management. We used various metrics to calculate forecast quality. Further, we deduced cost uncertainties based on EUROCONTROL (STATFOR) induced confidence intervals. To analyze the interdependency between forecast quality and ANSP performance, we ran regression models using cross-sectional and panel data. We will show that despite large STATFOR confidence intervals and subsequent resource and cost uncertainties, actual traffic counts lay outside in most cases. In consequence, most of ANSPs are confronted with unreliable forecasts. We will further show that there is a statistically significant interdependency between forecast quality and traffic punctuality as well as service provider productivity.

Establishing Performance Indicators of Telemedicine-Based "On-Consultation Training" of Primary Care Doctors: An Innovation to Integrate Psychiatry at Primary Care.

Background:A “functional treatment gap” exists in primary care of India despite the higher prevalence of psychiatric disorders at primary care. Traditional classroom training for primary care doctors (PCDs) fails to translate into adequate clinical skills to provide basic psychiatric treatment. An innovative telepsychiatric on-consultation training (Tele-OCT) is designed exclusively for practicing PCDs where a telepsychiatrist trains PCDs in live video streaming of their own real-time general consultations of primary health centres. The aim of this study is to establish performance indicators of Tele-OCT for its effective implementation.Methodology:The data collected using a file review method from a naturalistic design of the implementation of Tele-OCT for 73 PCDs from August-2016 to October-2018 across Mandya district, Karnataka, India.Results:Flexibility in the scheduling of Tele-OCT sessions is key to success. Personal smartphones of PCDs with available videoconference applications are the popular choice. Four consecutive Tele-OCT sessions are planned for each PCD with a gap of 2–4 weeks over two months. The first three sessions are considered the “optimum Tele-OCT training package” for each PCD, followed by the fourth one as a ‘Tele-OCT impact evaluation session' in a live, real-time general consultation. Each Tele-OCT is conducted in an average ten general patients in about two hours per session, totalling about 30 patients in 6 hours of Tele-OCT training package per PCD. Patient's profiles especially common mental disorders are reflective of a true picture of Indian primary care.Conclusions:Performance indicators of Tele-OCT for future implementation are established. Tele-OCT appears to be a path-breaking training model for PCDs to integrate psychiatric care in their general practice.

Problematika nedoslednega prevajanja kategorij kazalnikov uspešnosti za spremljanje ukrepov SKP iz angleškega v slovenski jezik

In monitoring and evaluating the performance framework of the CAP, EU Member States are required to establish performance indicators (PI) that will ensure the evaluation of the performance and effectiveness of the main and specific objectives and priorities of each program. Inconsistent translation of EC regulations from English into Slovenian was observed in the context of the types of PI categories and their relations. There was inconsistency between regulations, ambiguity and uncertainty in certain parts of the regulations. This caused a violation of the principle of legal certainty for Slovenia towards the EU and the EC. It was found that legal translators in Slovene translations of some EC regulations use different terms for the same legal matter, which have a different meaning. This disrupts the hierarchical levels of the PI categories, which creates ambiguous obligations for Slovenia in parts of the regulation. The article presents EU and EC regulations, which clearly show the violation of the principle of legal certainty. Through the performed cognitive verbal semantic analysis and with the help of dictionaries, we propose appropriate translations of PI categories. We propose that the regulations and the official documents deriving from them be aligned with the next financial period 2021-2027.

Strategies to Enhance the Performance of Beverages Manufacturing Organizations: A Case Study of Manufacturing Organizations in Harare

This research study strategies to enhance performance of beverage manufacturing organizations: a case study of manufacturing organizations in Harare, was undertaken because of the increasing poor performance of beverage manufacturing organizations due to harsh economic conditions in Zimbabwe. This research study sought to determine or establish performance indicators in manufacturing firms, to establish the causes of poor performance in beverage manufacturing companies, to determine strategies being implemented to improve performance, to assess the effectiveness of the implemented strategies and to device ways of improving performance in companies. The quantitative approach was used in this research study. Questionnaires were distributed to 114 employees in manufacturing companies such as Delta Beverages through a technique of convenience sampling. Based on the analysis of the responses received through these questionnaires, it emerged that strategies such as seeking funding from banks, merging and coming up with reforms can enhance performance of beverage companies. Insight given shows that beverage companies can devise strategies to boost their performance.

UPAYA MENINGKATKAN KOMPETENSI BELAJAR PPKN MATERI PEMBUKAAN UUD 1945 DENGAN METODE MAKE A MATCH PADA SISWA KELAS IX SMP NEGERI 3 COLOMADU SEMESTER 1 TAHUN PELAJARAN 2019/2020

Background of the lack of active involvement of students in learning there are at least three indicators that indicate this. First, students lack the courage to express opinions to others. Second, students lack the ability to formulate their own ideas. and third, students are not accustomed to competing to express their opinions with other friends. These problems eventually led to the achievement of student learning competencies to be low. The problems examined were formulated as follows: how is the effort to improve the learning competence of PPKn in the opening of the 1945 Constitution with the Make A Match method in class IX students of SMP Negeri 3 Colomadu Karanganyar Semester 1 2019/2020 Academic Year. This research method uses a classroom action research model (CAR). The subjects in this study were all students of class IX SMPN 3 Colomadu in Academic Year 2019/2020. Data collection techniques using observation, questionnaires, and documentation. Data analysis techniques using comparative analysis and critical analysis. The results showed that the implementation of learning using the Make A Match method could improve the PPKn learning competence in the Opening of the 1945 Constitution in class IX students of SMP Negeri 3 Colomadu Karanganyar Semester 1 2019/2020 Academic Year. Student knowledge competence at the end of the second cycle reaches an average of 85.8, has exceeded the established performance indicators that is equal to 80. Attitude competence at the end of the second cycle reaches an average of 3.4 (active attitude) and student skills competency at the end of the cycle II reached an average of 89.1 (very good), so this action research was declared successful. Achievement of performance indicators in cycle II shows that the application of the Make A Match learning method is effective in increasing student learning competency. The suggestion for PPKn teachers is that they need to increase their knowledge about the variety of learning methods. This will help the teacher to be able to improve the quality of the process and student learning outcomes in the learning process. The use of the Make A Match learning method can be an alternative to increasing learning effectiveness.
 
 Keywords: Learning Competence, Make A Match

The possibilities and limitations of using radiant wall cooling in new and retrofitted existing buildings

The use of radiant wall cooling presents a potentially feasible solution to cover the cooling demand of buildings due to its suitability for combination with renewable energy sources at relatively high sensible cooling capacity. We define and directly compare four types of wall cooling systems, from which three are potentially suitable for building retrofit. Besides using established performance indicators, an indicator called heat transfer efficiency is introduced to allow detecting differences in the thermal dynamics of various systems even in cases when their response time, defined as τ95, is alike. Systems with pipes underneath the surface provide higher cooling output and are sensitive to pipe spacing. Systems with pipes embedded in the core allow thermal storage and are sensitive to insulation thickness. Thermal conductivity of the core material proved to be an important parameter to consider except for the system with the pipes separated from the core by thermal insulation. The systeḿs suitability depends on the requirements such as avoiding interventions in the interior, exploiting thermal storage, or providing fast thermal dynamics. It is shown how various configurations of pipe location, material layers and thermal conductivity of the core allow compromising between the different performance indicators to design a system with the desired characteristics.

Comparison between thermal, rheological and failure properties for the performance grading of asphalt cements

Thermal, rheological and failure properties of nine extracted and recovered asphalt cements were investigated to predict cracking susceptibility. Glass transition temperatures, non-isothermal Ozawa crystallization constants and binder fragilities were determined but found to lack a strong correlation with established performance indicators. All binders exhibited thermorheologically simple behavior and master curves for complex modulus and phase angle were readily constructed by applying the time-temperature superposition (TTS) principle. Failure properties of the binders were determined using ductility and double-edge-notched tension (DENT) tests. It was found that the ductility and approximate critical crack tip opening displacement (CTOD) are correlated, although the latter provides more reasonable (lower) values of strain tolerance. The Williams-Landel-Ferry (WLF) equation described the shift factors in dynamic shear, and the WLF constants C1 and C2 correlate reasonably well with ductility and CTOD. It was found that the phase angle was sensitive to asphalt cement quality, with poor performing binders showing a limiting phase angle temperature, T(δ = 45°), nearly 25 °C higher than those of superior performing materials. This investigation demonstrates that recovered binders can be prematurely hardened, likely due to overheating during production or the incorrect use of reclaimed asphalt. As this problem is not recognized when testing material from the asphalt cement supply tank, it is recommended to test extracted and recovered binder from the loose hot mix asphalt. This will assure that the material as placed actually meets performance requirements for the local climate.