Scientific Performance Evaluation Research Articles

The Path to Continuous Development in Higher Education: Interplay between Quality Service, Student Satisfaction, and Performance Evaluation

This study explores the mutual interaction among quality services, student satisfaction, and performance evaluation in higher education and their impact on sustainable development. Through literature review and case analysis, it discusses how these elements collectively drive progress in higher education and enhance educational quality. The research findings indicate that effective quality services, satisfactory student experiences, and scientific performance evaluation are key factors in achieving sustained development in higher education.

Enhanced group decision-making framework for financial performance evaluation of high-tech enterprises under interval neutrosophic environment

The financial performance of enterprises has always been the key to their survival and development, especially for high-tech enterprises. Evaluating the financial performance of high-tech enterprises is beneficial for the management department to accurately understand the financial situation of the enterprise, timely identify financial problems, and study solutions based on this; On the other hand, the scientific evaluation of enterprise performance also provides useful assistance for other stakeholders such as the government, creditors, and enterprise employees to exercise their rights. With the development of the times and the progress of society, high-tech enterprises have developed rapidly. Studying the financial performance of high-tech enterprises has important theoretical and practical significance. The financial performance evaluation of high-tech enterprises is a classical MAGDM problems. Recently, the TODIM (TODIM) and (grey relational analysis) GRA technique has been employed to cope with MAGDM issues. The interval neutrosophic sets (INSs) are employed as a tool for characterizing uncertain information during the financial performance evaluation of high-tech enterprises. In this manuscript, the interval neutrosophic number TODIM-GRA (INN-TODIM-GRA) technique is implemented to solve the MAGDM under INSs. In the end, a numerical case study for financial performance evaluation of high-tech enterprises is employed to validate the proposed technique.

Intelligent Evaluation of Innovative Enterprise Performance - Construction of BPNN Model based on Improved WOA Optimization

With the economic progress, the environment in which enterprises operation is becoming increasingly complex. Intelligent performance evaluation of innovative enterprises is of great significance for their own development. The traditional performance evaluation indicators of enterprises rely too much on their financial indicators, leading producers and operators to pay more attention to the short-term financial performance growth of the enterprise. The long-term development of enterprises is neglected, resulting in weak core competitiveness. Therefore, to better achieve the scientific evaluation of innovative enterprise performance, based on the innovative enterprise performance evaluation index system, an innovative enterprise performance intelligent evaluation model with the whale optimization algorithm optimized backpropagation neural network is constructed. For the shortcomings of the whale optimization algorithm in the operation, the wolf swarm algorithm isintroduced to optimize it. The experimental results show that the evaluation model based on the improved whale optimization backpropagation neural network proposed in the study has very small errors in the evaluation results of different samples, with no more than 3%. This indicates that the performance evaluation index system for innovative enterprises can objectively reflect enterprise performance. This evaluation model can offer a reasonable analysis of enterprise performance, providing reference for intelligent evaluation of innovative enterprise performance.

Mapping the landscape of research on workplace sexual discrimination: A bibliometric analysis

Sexual discrimination in the context of the work environment is an adverse phenomenon where individuals are treated unfairly or unequally based on their gender or sexual orientation. This study aims to trace the evolution of the literature surrounding sexual discrimination in the workplace over time. Bibliometric methods were used in this study to review 298 research samples conducted between 1986 and 2023. The data was obtained from the Scopus database. The reason for using Scopus as the main reference data in this study is because the Scopus database is a citation and abstract index database that covers a wide range of scientific literature and focuses on various fields of science published worldwide in high-quality journals with comprehensive and representative data to accurately identify research trends and academic impact. Besides, the features provided by Scopus greatly facilitate in-depth bibliometric analysis. The focus of this study lies on scientific performance evaluation and literature mapping using Vosviewer and BibExcel tools. The research findings confirmed a significant increase in the number of publications and citations on this topic over the past five years. In addition, cross-disciplinary collaboration seems to have made an important contribution, involving the fields of health, law, psychology, as well as other social sciences. However, this study indicates the limitations of interdisciplinary cooperation in generating a more holistic and comprehensive understanding of this phenomenon.

National Lists of Academic Journals: An Overview of World Practice

The article summarizes global experience in the development of national lists of scholarly journals. We show that some countries are currently transforming their research evaluation institutes, because such systems proved ineffective in the context of geopolitical turbulence. We observe that the focus is shifting from the use of indicators of international scientometric databases to the use of the combination of qualitative and quantitative evaluation. Besides, we note that the importance of national academic journals is increasing. We analyze approaches to the formation of national lists of scientific periodicals and reveal specific features of the procedures for their creation. We put forward a typology of national lists of journals and assess their impact on the publication behavior of researchers. We conclude that global practice provides examples of effective approaches to the compilation of national “white” lists of academic journals, which, due to their integration into the scientific performance evaluation system, act as a kind of stabilizing mechanism that protects the system from the influence of external challenges in times of geopolitical instability. The conclusions we have obtained during the analysis contribute to the development of knowledge in the field of scholarly journals evaluation.

Incentive Mechanism for the Development of Rural New Energy Industry: New Energy Enterprise–Village Collective Linkages considering the Quantum Entanglement and Benefit Relationship

As an important foundation of and driving force for rural revitalisation, green and low-carbon energy development is an intrinsic requirement for meeting the people’s needs. Rural energy utilization efficiency is low, and there is an urgent need to develop and use renewable green energy. Therefore, the purpose of this study is to explore and clarify the entanglement mechanism between new energy enterprises (NEEs) and village collectives (VCs) considering the mutually beneficial evolutionary stability strategy of the main participants in the rural new energy industry (RNEI) regarding the quantum entanglement state. The quantum evolutionary game model for NEEs and VCs was constructed, and a set of quantum strategies of both parties was introduced. This not only expands the strategy set of the classical game model but also considers the characteristics of quantum entanglement in the implementation of the quantum game. This study also analysed the evolution path and stability strategy of participants in the process of RNEI’s development. The results of this study are presented as follows: (i) after considering the entanglement of states, it is easier to adopt the complete quantum strategy to realize the complete incentive situation that “income increases with the increase of one’s own efforts,” which is conducive to the development of the RNEI. (ii) Observable and quantifiable performance indicators are of greatest importance. Both parties involved in the development of the RNEI should make relevant information open and transparent to promote the smooth implementation of the RNEI development process. (iii) The signing of the “entanglement contract” requires a scientific, complete, specific, and quantifiable performance evaluation system to be established by a professional and independent third-party organization. The study not only makes a certain theoretical contribution to clarifying the mechanism of entanglement between NEEs and village collectives but also provides a theoretical basis for scientific and effective cooperation between NEEs and village collectives.

Vertical Integration of Electronic Health Records in Medical Consortiums: Dynamic Modeling Approach Based on the Evolutionary Game Theory.

China has continuously issued policies to speed up the interconnection, mutual recognition, sharing of medical information systems, and data integration management across regions and institutions. However, the vertical integration of electronic health records (EHRs) within the medical consortium is hampered by "poor mechanism and insufficient motivation" and the phenomenon of "free riding" among participating medical institutions, which makes the integration less effective. We hope to clarify the game mechanism of stakeholders in the vertical integration of EHRs, and put forward targeted policy suggestions for improvement. We constructed the "government-hospital-patient" tripartite evolutionary game model based on the detailed analysis of the research problems and their assumptions. We then simulated the game strategies and outcomes of each participant using the system dynamics approach to reveal the long-term strategy evolution mechanism of the core participants in the vertical integration of EHRs in the medical consortium, as well as the influencing factors and action mechanisms of each party's strategy evolution to provide references for improving relevant policies. The evolutionary game system could eventually reach an optimal equilibrium, but in areas where the government was required to be in a dominant position, patient supervision was necessary to have a positive role, while a reasonable reward and punishment mechanism can promote active participation of hospitals. The effective way to achieve the goal of vertical integration of EHRs in the medical consortium is to build a multiagent coordination mechanism under the guidance of the government. Meanwhile, it is necessary to establish a scientific integration performance evaluation mechanism, a reward and punishment mechanism, and a benefit distribution mechanism to promote the healthy development of vertical integration of EHRs in medical consortiums.

Performance Evaluation and Identification of Key Influencing Factors for Student Achievement Based on the Entropy-Weighted TOPSIS Model

To address the shortcomings of the existing comprehensive evaluation methods, the entropy TOPSIS (Technique for Oder Preference by Similarity to Ideal Solution) method was introduced into the comprehensive evaluation of classes students’ grades in college, and the results of year 2019∼2020 of 30 classes student’s major courses of 2 colleges within 2 semesters were used as an example for analysis. The study shows that the entropy TOPSIS method can not only effectively reflect the course differences but also avoid the subjectivity of weight setting and improve the rationality and objectivity of the comprehensive evaluation and ranking of students’ performance in classes, and it can be used as an objective evaluation tool for the external factors affecting students’ performance. At the same time, the internal factors affecting students’ performance are analyzed. It can be found that reasonable sleep time and the cultivation of good study motivation can help improve students’ academic performance. The results of this paper are of great theoretical value and technical reference value for scientific evaluation of student performance in universities.

Research on Performance Evaluation Model Based On Eva-Bsc

The new energy vehicle industry is now developing at a high speed, with fierce competition among enterprises. Enterprise performance evaluation system is an important guarantee for the realization of enterprise strategic objectives. A reasonable performance evaluation system is vital to the development of enterprises. The article builds an eva-bsc performance evaluation model with EVA value as the core and BSC as the framework, determines the weight by using the method of combining AHP and entropy method, and empirically analyzes the performance of 11 new energy vehicle manufacturing enterprises with a market value of more than 10 billion yuan from 2018 to 2020. The evaluation results show that the comprehensive and scientific performance evaluation of new energy vehicle manufacturing enterprises has been basically realized.

Research on Performance Appraisal Method of Private Colleges and Universities Based on Personnel Incentive

With the development of society, people's requirements for education are constantly improving, so private colleges and universities have also achieved rapid development, playing an important role in China's higher education. However, compared to public universities, public universities implement a unified national enrollment and fee collection system, while private universities implement independent enrollment and fee collection systems, making talent selection somewhat difficult. Therefore, reasonable improvement and establishment of scientific and effective performance evaluation methods have become the key to improving teaching quality and enhancing the enthusiasm of teachers. This article will combine the current situation and existing problems of performance appraisal in private colleges and universities in China, and propose a performance appraisal method based on personnel motivation, which can effectively improve the teaching quality and employee enthusiasm of private colleges and universities.

How Interest in Phages Has Bloomed into a Leading Medical Research Activity in Poland.

Poland has a leading position in phage therapy, as reflected by the number of patients treated and relevant publications in quality journals. The Institute of Immunology and Experimental Therapy of the Polish Academy of Sciences was established by Ludwik Hirszfeld, a prominent microbiologist and serologist who also initiated studies on phages and pioneered the activities that set into motion phage therapy at the Institute. To achieve this goal, Hirszfeld had to overcome many difficulties in a post-war Poland. He died a month before the official start of the Institute's activity and was not able to witness the advancement of the Institute bearing his name. However, his hard work and dedication have been recently rewarded. In a recent evaluation of scientific performance, the Institute received the highest ranking in medical sciences among all universities and research institutions in Poland. One could consider it a posthumous tribute to the memory of L. Hirszfeld, being well-deserved on the grounds of the Institute's achievements (especially in the field of phage therapy) as well as his life and work.

Comprehensive Evaluation of Government Economic Management Performance Based on Multidimensional Data Mining in Fuzzy Comprehensive Environment.

Economic, political, social, and military activities all fall under the umbrella of government duties. The modification and reinterpretation of economic functions are the primary focus of the innovation in government administration style under the wave of economic globalisation. The effectiveness of the government's economic administration determines the general level of public administration at the federal level. An essential issue of national public administration that has a significant impact on the political growth of many nations is the performance evaluation of government economic administration. The people are the subject of government economic administration performance evaluation, and the people adjudicate the outcomes. An essential method of assessing the productivity of various departments is through performance review. The nation is currently in the process of switching from its long-standing planned economic system to a market economic system. The internal and external environments of governmental organisations are continually changing in addition to the strong trend of economic globalisation. Determining and advancing the national government's economic administration model is so crucial. The article offers a multidimensional data mining-based optimum design scheme for the thorough assessment of government economic administration performance. The fuzzy comprehensive evaluation rule is an effective method for quantifying the qualitative indicators when the quantitative indicators in the evaluation index system are difficult to measure. It is relatively simple, reasonable, and simple to operate in practise, which is conducive to the thorough and scientific performance evaluation of the government economic administration's science and technology administration functions. Following an assessment of the system's performance using association rule data mining technologies, a simulation test analysis is completed. The accuracy of the proposed arithmetic, which is 8.26% higher than the conventional arithmetic, is demonstrated by simulation results. The development of an evaluation model that incorporates both subjective and objective criteria, as well as the thorough assessment of the effectiveness of government economic administration based on data mining technologies, has excellent application prospects and practical value.

Application of GIS Technology-Supported Cross Media Fusion Method Based on Deep Learning in Landscape Performance Evaluation.

GIS technology can provide reasonable and sustainable data support for landscape planning and ecological development and make wetland landscape planning consider the spatial layout of landscape and the optimal allocation of resources more. The key technologies of cross media intelligence mainly focus on intelligent information retrieval, analysis and reasoning, knowledge map construction, and intelligent storage. Convolutional neural network (CNN), as one of the representative algorithms of deep learning, plays an important role in retrieving landscape data and extracting image and text features across media. Further retrieval of media data, in-depth text processing, and image feature data extraction are realized by using deep learning technology, and comprehensive in-depth analysis is carried out by combining landscape plane images, three-dimensional images, and vector information in GIS technology. Provide quantitative information for the evaluation system of human landscape, economy, history, and region, so as to formulate a scientific and reasonable performance evaluation system.

Performance Evaluation of Laboratory Management System Based on BP Neural Network

Due to the lack of scientific performance evaluation methods and effective performance management, many tax authorities’ performance evaluation and performance management are not perfect. The BP neural network has strong nonlinear mapping, self-learning, and self-adaptive abilities. It has been widely used in the field of numerical prediction and pattern recognition. Based on the exploration of neural network, this paper combines BP neural network with performance evaluation and applies BP neural network to the performance evaluation of university laboratories. Data envelopment analysis (DEA) is mainly used to evaluate the performance of other fields. This paper selects key laboratories as the research object. The performance evaluation of university laboratories based on BP neural network is studied. The existing laboratory evaluation system is scientifically and reasonably revised, reasonable scientific methods are introduced, and a complete and scientific evaluation scheme suitable for the current evaluation requirements is explored. This paper perfects the evaluation method system, so as to scientifically and reasonably allocate research resources, which can maximize the enthusiasm of research departments.

Evaluation Strategy of the Piano Performance by the Deep Learning Long Short-Term Memory Network

With the development of society and the progress of technology, the piano education industry has a large market. In view of the problem of high payment fees in the piano education industry, the scientific and automatic nature of piano performance evaluation has attracted people’s attention. However, since most of the piano performance evaluation schemes are based on rules, the continuity of the piano music and the accuracy of playing are ignored. Therefore, the purpose is to design a scientific piano performance evaluation scheme that can play a certain role in the sustainable development of the piano education industry. Firstly, long short-term memory in deep learning is explored. Secondly, the musical characteristics of piano performance are analyzed according to the musical instrument digital interface. The piano music features are extracted, and a long short-term memory-based musical instrument digital interface piano performance evaluation model is constructed. Finally, it analyzes the number of hidden layers implemented in the long short-term memory model for piano performance evaluation. The accuracy of piano performance evaluation under different models is analyzed. Under the bidirectional long short-term memory network model, different piano performance levels are evaluated to realize the study of piano performance evaluation strategies. Compared with the accuracy of the recurrent neural network and the long short-term memory model with different hidden layers, the bidirectional long short-term memory model has the highest test accuracy, with an average of 69.78%. When the hidden layer of the bidirectional long short-term memory model is 3, the loss function L value is the smallest, which is 0.11. Different levels of piano skills are evaluated, and the results of the systematic evaluation are consistent with the performance of different levels. This shows that the BLSM model is feasible for the piano performance evaluation strategy system. This study not only conducts an in-depth analysis of the deep learning long short-term memory model but also proposes a long short-term memory-based musical instrument digital interface piano performance evaluation model. Additionally, the flaws such as the incomplete consideration of musical continuity and expressiveness when evaluating piano performance pieces have been compensated. Finally, through different model validations, the bidirectional long short-term memory model is concluded with good accuracy in piano performance evaluation. These conclusions provide theoretical research and practical significance for the accuracy of piano performance evaluation.

Meritocracy or reputation? The role of rankings in the sorting of international students across universities

ABSTRACT University rankings have gained prominence in tandem with the global race towards excellence and as part of the growing expectation of rational, scientific evaluation of performance across a range of institutional sectors and human activity. While their omnipresence is acknowledged, empirically we know less about whether and how rankings matter in higher education outcomes. Do university rankings, predicated on universalistic standards and shared metrics of quality, function meritocratically to level the impact of long-established reputations? We address this question by analysing the extent to which changes in the position of UK universities in ranking tables, beyond existing reputations, impact on their strategic goal of international student recruitment. We draw upon an ad hoc dataset merging aggregate (university) level indicators of ranking performance and reputation with indicators of other institutional characteristics and international student numbers. Our findings show that recruitment of international students is primarily determined by university reputation, socially mediated and sedimented over the long term, rather than universities’ yearly updated ranking positions. We conclude that while there is insufficient evidence that improving rankings changes universities’ international recruitment outcomes, they are nevertheless consequential for universities and students as strategic actors investing in rankings as purpose and identity.

Contributorship in scientific collaborations: The perspective of contribution-based byline orders

Scientific collaboration empowers scholars to build larger teams and produce more high-quality knowledge. However, with insufficient microscopic examination of scientific collaboration, i.e., the interactions between collaborators, little is currently known about whether the contributing roles of collaborators are fairly and accurately represented on the bylines of scientific papers. To fill this gap, the current study examines how the different roles of collaborators are connected to the order of their names in article bylines across disciplines and team sizes. A dataset of 105,192 articles containing author contribution statements was compiled and analyzed to investigate the byline order distributions of three different contributing roles: versatiles, specialists, and teamplayers. We discovered that, across all disciplines, the order of names in article bylines usually represented authors’ contributions. Versatiles were more likely to be first authors in the byline, followed by teamplayers and specialists. We also found that the division of labor in larger teams varied between disciplines. In some subjects, the three contributing roles disappeared as the size of teams increased, while in others, they remained distinct. Finally, larger team sizes were associated with a weaker relationship between byline ordering and contributing roles. These findings advance studies of scientific collaboration and enrich the literature on the evaluation of scientific performance.

Research on performance evaluation of urban low-carbon management: a case study in Foshan

Abstract For the sustainable development of the Earth and the improvement of human living environment, it is of great importance to establish a scientific urban low-carbon management performance evaluation index system and provide scientific methods for better urban low-carbon management. Based on literature research and questionnaire, this paper establishes the performance evaluation system of urban low-carbon management. Based on the premise of evaluating low-carbon cities, this system measures the management level of low-carbon cities, clarifies the realistic content of urban low-carbon management performance and puts forward some constructive suggestions for improving the performance of urban low-carbon management. This paper makes statistical analysis of the evaluation indicators by issuing questionnaires to professional groups, focuses on the investigation and analysis of the public’s concept of low-carbon city and environmental awareness and then uses scientific entropy method to calculate and draw feasible conclusions and countermeasures, which has innovative significance. In the case study in Foshan, the performance evaluation system indicated that from 2017 to 2021, the performance of urban low-carbon management in Foshan has increased by ~30%.

Enterprise Working Capital Management by BP Neural Network under the Background of the Internet

Today, with the rapid development of the Internet, the way of enterprise development has become more and more diversified. The development of the Internet not only brings opportunities for enterprise development but also certain risks. In order to deal with the uncertain risks in the future development of the enterprise, aiming at the operation and capital management problems of the enterprise, this study creates a scientific and effective performance evaluation system that conforms to the law of enterprise development to guide the enterprise's capital management problems in the operation process. This system can enable enterprises to improve economic efficiency and achieve sound development in the context of the Internet economy. This study sorts out the relevant theories of enterprise capital management and performance evaluation and refers to the existing performance evaluation system by analyzing the influencing factors of enterprise operation performance. The key factors of performance evaluation in the process of enterprise operation are extracted and processed by dimensionless normalization of sample data. The Pearson correlation test is used to eliminate data indicators with high correlation, and a model of enterprise operation performance evaluation based on the Back Propagation Neural Network (BPNN) is constructed. Valid panel data of some companies in 2015-2016 are selected. The constructed BPNN model is verified for feasibility. The results show that the constructed BPNN model has wide applicability and can be an effective tool for enterprise operation performance evaluation.

Vysoké školy v Pláne obnovy a odolnosti

The Government of the Slovak Republic prepared a Recovery and Resilience Plan, which did not go through a wide professional discussion. It thus contains a number of issues that provoke a wide-ranging discussion. The article is a contribution to the discussion of some serious problems of universities in Slovakia. One of the problems is the change in the financing of universities, the introduction of a system of periodic evaluation of scientific performance, or the reform of the system of internal management of universities. There is no doubt about the need to introduce a system of periodic evaluation of universities with the use of foreign evaluators. The criteria for evaluating the performance of higher education institutions raise doubts. The changes to the internal management system of higher education institutions indicated in the Recovery Plan limit the autonomy of higher education institutions. Rather than changing the funding of universities, it is necessary to increase the amount of funding for higher education.