Research Performance Evaluation Research Articles

Deep neural network-based analysis of the impact of ambidextrous innovation and social networks on firm performance

The motivation for analyzing the impact of deep neural networks on enterprise performance is mainly due to the continuous deepening of enterprise information construction, shifting from traditional paper-based data acquisition methods to electronic data management. The data generated by the sales, production, logistics and other links of enterprises is also becoming increasingly large. How to scientifically and effectively process these massive amounts of data and extract valuable information has become an important issue that enterprises need to solve. The continuous and stable growth of China's economy has promoted the development and growth of enterprises, however, it has also made enterprises face a more complex competitive environment. The question of how to improve the performance of enterprises to enhance their competitiveness in the market has become a major issue to be addressed in the face of fierce competition and to ensure the long-term development of enterprises. In this paper, based on the research of firm performance evaluation, deep neural network is introduced to analyse the influence of ambidextrous innovation and social network on firm performance, and the theories of social network, ambidextrous innovation and deep neural network are sorted out and analysed, and a deep neural network-based firm performance evaluation model is established, and finally the sample data is obtained using crawler technology, and then the response values are analysed. Innovation and the improvement of the mean value of social networks are helpful to firm performance.

INTERNATIONALIZATION AND QUALITY ASSURANCE IN HIGHER EDUCATION

This paper provides a review of the literature on internationalization and quality assurance in higher education, examining the different perspectives and research methods. The authors highlight the tension between balancing quality and quantity in evaluating research performance and outcomes. They also emphasize the link between internationalization and globalization, noting that internationalization is often viewed as a response to global forces. The study used a systematic search to identify relevant articles published in the last decade and conducted semi-structured interviews with administrators responsible for implementing internationalization strategies. The paper highlights the challenges facing internationalization efforts, including limited resources, resistance to change, cultural differences, and institutional barriers. This article presents the findings of a study on internationalization and quality assurance in higher education. The research emphasizes the need for further investigation in this area and identifies the challenges involved. To address these challenges, a comprehensive approach involving collaboration among various stakeholders is advocated, including administrators, faculty members, students, and external partners. Additionally, the review highlights the significance of striking a balance between quality and quantity when evaluating research outcomes, especially within the context of diverse national education systems and the contrasting realities of peripheral and elite universities. The study emphasizes the importance of prioritizing internationalization and quality assurance in higher education for university authorities and encourages researchers to capture the ongoing dynamics of internationalization and globalization. The findings suggest a need for more research on internationalization and quality assurance in higher education and a multi-faceted approach involving collaboration across different stakeholders. The study underscores the importance of prioritizing internationalization and quality assurance in higher education and provides suggestions for future research. Future research is recommended to explore effective strategies for overcoming these challenges and achieving successful internationalization in higher education.
 Key words: internationalization; globalization in education; quality assurance in higher education; stakeholders.

Research trends and performance evaluation of natural gas in the web of science category of energy and fuels: a bibliometric study

Research trends and performance evaluation of natural gas in the web of science category of energy and fuels: a bibliometric study

Evaluation of Research Performance at Universities: A Comprehensive Methodological Approach

Evaluating the effectiveness of research activities is one of the topical issues in the higher education system. Despite this, studies on the extensive assessment of research units' outputs at the university are rare. The main goals of this study are (1) the development of a comprehensive methodology for assessing the research performance of the units; (2) testing this methodology to compare the performance indicators of 37 research institutes and centers. Both quantitative and qualitative research methods were applied in this study. Research results can be beneficiary for government bodies, allowing them to make decisions about the allocation or reallocation of funding and top management in higher education for benchmarking and internal performance evaluation of research institutes and centers. This article contributes to the theoretical basis of research performance evaluation at HEIs and puts forward a step-by-step methodology.

Who are the most highly cited forensic scientists in the United States?

The most highly cited forensic practitioners in the United States were identified using a publicly available citation database that used six different citation metrics to calculate each person's composite citation score. The publication and citation data were gleaned from Elsevier's SCOPUS database, which contained information about ~7 million scientist each of whom had at least five entries in the database. Each individual was categorized into 22 scientific fields and 176 subfields, one of which was legal and forensic medicine (LFM). The database contained citation records for 13,388 individuals having LFM as their primary research discipline and 282 of these (2%) were classified as being highly cited. Another 99 individuals in the database had LFM as their secondary discipline, making a total of 381 highly cited forensic practitioners from 35 different countries. The career-long publication records of each individual were compared using their composite citation scores. Of the 381 highly cited scientists, 93 (24%) had an address somewhere in the United States. The various branches of forensics they specialized in were anthropology, criminalistics, DNA/genetics, odontology, pathology, statistics/epidemiology, and toxicology. The two most highly cited scientists, according to their composite citation score, were both specialists in DNA/genetics. Bibliometric methods are widely used for evaluating research performance in academia and a similar approach might be useful in jurisprudence, such as when an expert witness is instructed to testify in court and explain the meaning of scientific evidence.

Performance evaluation of user value in digital economy industry: Based on the improvement EVA model

<p>With the advancement of science and technology and the advent of the digital economy, the digital economy has become a new driving force for economic development, and the digital economy industry at home and abroad is facing new opportunities for survival and development. However, due to the special development model and profit mode of the digital economy industry, the traditional performance evaluation method is no longer applicable, so it is particularly important to improve the previous performance evaluation method. This paper first adjusts the customer value assessment (CLV) model according to the characteristics of the digital economy industry, and then analyzes the traditional EVA based on the adjusted user value assessment (ULV) model of the digital economy industry. The performance evaluation system is improved, and the representative enterprises of Alibaba, JD and Pinduoduo in the digital economy industry are selected for performance evaluation and analysis, and the user value performance evaluation model of the digital economy industry is integrated, innovated and standardized, in order to provide reference and reference for the follow-up research and practice of performance evaluation in the digital economy industry.</p>

Outdoor test facilities for the experimental performance evaluation of construction materials and systems: The BeTOP case

Proposing new materials and systems to improve the performance and energy efficiency of buildings is often followed by performance evaluation to monitor how they perform and contribute. Experimental performance characterization of new and existing building materials and systems is crucial to understanding their behaviour in relation to indoor environmental and conditional changes, in addition to outdoor environmental changes. Full-scale experimental test cell facilities have been at the forefront of experimental performance evaluation in building-related research, as they can provide a realistic representation of buildings, which includes environmental conditions, building structure, and operational characteristics. In this paper, the new test cell facility of BeTOP, located in the city of Toronto, Ontario, is introduced as a full-scale experimental facility with the capability of multiple practical tests simultaneously. This paper describes the characteristics of this test cell, including structure details, testing capabilities, system details, previous testing campaigns, and future testing potential. The design of such a full-scale testing facility is shown to be crucial in a continental climate, such as Toronto, to observe the long-term performance of new systems under variable boundary conditions with cold winters and hot and humid summer seasons.

A New Algorithm on Automatic Trimming for Helicopter Rotor Aerodynamic Loads

In order to simulate the flight state of the helicopter effectively, it is necessary to trim the helicopter during the forward flight in a wind tunnel test. Previously, due to the lack of an internal-control closed loop in the test rig, the helicopter-wind-tunnel-test trimming was carried out manually, with low test efficiency, unstable data quality, and high labor intensity. With the continuous development of computer technology and automatic control technology, the helicopter-wind-tunnel-test trimming technology has been developing in the direction of automation and intelligence. The helicopter wind tunnel test automatic trimming system is a typical multi-input–multi-output (MIMO), strongly coupled, and complex nonlinear system, involving data acquisition and a processing system, rotor control system, tail-supported mechanism control system, wind-tunnel-speed pressure control system, and other subsystems, which is difficult to describe with an accurate mathematical model. Therefore, in order to meet the needs of a 3 m diameter rotor model aerodynamic performance evaluation and noise characteristics research wind tunnel test, an error feedback variable step automatic trimming algorithm is proposed based on the fuzzy-control principle to realize automatic trimming of aerodynamic loads of rotor model in the forward flight state. To verify the effectiveness and reliability of the trimming strategy, a series of wind tunnel tests on a 3 m diameter scaled rotor model of a helicopter were conducted in the FL-17 aeroacoustics wind tunnel of China Aerodynamics Research and Development Center (CARDC) based on the Φ3m tail-supported helicopter rotor model wind tunnel test rig. The wind tunnel test’s results show that the proposed automatic trimming algorithm has the characteristics of fast trimming speed and high efficiency, which can realize the automatic trimming of rotor model aerodynamic loads under different test states in the wind tunnel test effectively and reliably and greatly improve the intelligence level of helicopter wind tunnel test.

Does the journal impact factor reflect the impact of German medical guideline contributions?

Contributions to medical guidelines, so far, have hardly been considered in the measurement and evaluation of research performance in Germany. We therefore examined 70 high-quality medical guidelines from the years 2017 and 2018 and investigated the type of publications cited by the guidelines, whether the citation rates of articles differ between substantiating guideline recommendations and background text, and whether or not the Journal Impact Factor is correlated with the guidelines’ citation frequency of individual journals. Our study found that the guidelines cited original articles much more than books, reviews, or other guidelines. Slightly less than 10% of the citations came from the 2 years preceding guideline publication, and more than 50% of the references were at least 8 years old. A subsample showed that articles which only provided background information were cited less frequently outside the guidelines than those that substantiated a specific recommendation. Lastly, there was only a weak correlation (0.1 ≤ Tau ≤ 0.35) between the citations counts of individual journals in the guidelines and their respective JIFs despite guideline subject. Our study suggests that the JIF is not an appropriate tool to assess the clinical relevance of medical research.

Analysis on the digital transformation index system of enterprise’s low carbon business performance based on AHP-DEA

With the arrival of the low carbon era, enterprises, as the main body of the market economy, must take the road of low carbon operation whether to fulfill their social responsibilities or to seek enterprise development. However, Chinese enterprises started late to understand the low-carbon economy. So far, except for a few state-owned enterprises, some leading private enterprises and foreign-funded enterprises, they have made remarkable achievements in low-carbon emission reduction. Most enterprises in China have not realized the importance of low carbon emission reduction. In order to step out of the “high carbon” era and coordinate economic development and environmental protection, China must solve the problem of low-carbon transformation of small and medium-sized manufacturing enterprises. How to measure the degree of low carbon transformation, and how the government objectively evaluates the degree of low carbon economic development of enterprises, with a view to formulating corresponding standard incentives and punishment measures for them. It is urgent to establish a sound, reasonable and feasible low carbon operation management indicator system, and comprehensively evaluate the information related to low carbon operation of SMEs through reasonable selection of indicators. According to the connotation of low-carbon enterprises, the economic benefits of enterprises are closely combined with environmental benefits. A set of low carbon operation performance evaluation index system including economy, technology and environment has been constructed. The AHP index weight is calculated by establishing the AHP model and the Data Envelopment Analysis (DEA) index weight is calculated by establishing the DEA model. On this basis, the grey relational evaluation model based on AHP-DEA is established. Then the paper evaluates the performance of representative enterprises’ low carbon operation. Propose corresponding improvement suggestions for the problems reflected in the low carbon operation performance ranking of enterprises and the scoring of various indicators. The research results show that the algorithm has high efficiency and the accuracy of model evaluation is 95.51%. To a certain extent, this study makes up for the research results of the impact of digital transformation on corporate strategic performance, and also provides ideas for the research of corporate financial performance evaluation.

The BeTOP facility for performance testing of building systems

Proposing new materials and systems to improve buildings' performance and energy efficiency often requires testing their performance in the field. Experimental performance characterization of new and existing building systems is crucial to understanding their behaviour. Full-scale experimental test cell facilities have been at the forefront of experimental performance evaluation in building-related research, as they provide a realistic representation of buildings, including environmental conditions, assembling challenges, and operational characteristics. In this paper, trends in the design and construction of outdoor testing facilities are first discussed. Then, based on the current literature and the knowledge gained through visits to multiple facilities, the new test cell facility “BeTOP”, located in Toronto (Ontario), is described. BeTOP is a full-scale experimental facility with the capacity to perform multiple experimental tests simultaneously. This paper describes its characteristics, including structure details, testing capabilities, system details, current monitoring campaigns, and future testing potential. The paper concludes by showing that the design of a full-scale testing facility is crucial to observe the long-term performance of new systems under variable boundary conditions in a continental climate with cold winters and hot and humid summers.

Research of Logistics Time Performance Evaluation Based on Linguistic Variables, a Case Study of Urgent Transportation between China and Thailand

Research of Logistics Time Performance Evaluation Based on Linguistic Variables, a Case Study of Urgent Transportation between China and Thailand

Development and Test of Survey Scale for University Humanities and Social Sciences Teachers’ Satisfaction with Scientific Research Performance Evaluation Mechanism

Scale of satisfaction with the scientific research performance evaluation mechanism of humanities and social sciences in universities was developed to investigate the current teachers’ satisfaction with the scientific research performance evaluation mechanism of humanities and social sciences in universities, and to identify the problems in the scientific research performance evaluation mechanism of humanities and social sciences in universities in order to promote targeted improvements in universities, and further improve the scientific research performance evaluation mechanism of humanities and social sciences in universities. In developing the scale, the initial scale was compiled on the relevant literature and semi-structured interviews. The scale was developed through the steps of item development, draft scale development, expert validity establishment, data collection of pre-test scale, item analysis, exploratory factor analysis and confirmatory factor analysis. The quality of the scale was assessed through reliability test and validity test. The scale includes two key dimensions: evaluation mechanism elements and evaluation mechanism operation. The scale provides a feasible tool for the measurement of satisfaction with the evaluation mechanism of university humanities and social sciences research performance, proposes a new perspective for the study of the evaluation mechanism of university humanities and social sciences research performance, and expands new ideas for comprehensive understandings of the evaluation mechanism of university humanities and social sciences research performance.

Research on Current Status of Scientific Research Performance Evaluation System of Humanities and Social Sciences in Universities

Research on Current Status of Scientific Research Performance Evaluation System of Humanities and Social Sciences in Universities

Research on Problems of Scientific Research Performance Evaluation Mechanism of Humanities and Social Sciences

Research on Problems of Scientific Research Performance Evaluation Mechanism of Humanities and Social Sciences

Research on Influencing Factors of Scientific Research Performance Evaluation Satisfaction Degree of Humanities and Social Sciences Teachers in Universities

Research on Influencing Factors of Scientific Research Performance Evaluation Satisfaction Degree of Humanities and Social Sciences Teachers in Universities

Evaluation of teacher performance in post-certification classroom action research at the vocational school

The purpose of this study was to assess teacher performance in classroom action research at SMK N 2 Sungai Penuh after certification using the goal free evaluation model. Teacher performance in classroom action research aims to improve the quality of Indonesian education, one of which is through educator-certified teachers who have professional competence by conducting classroom action research. Evaluation of attachment to the positive, negative, and side (neutral) impacts of the post-certification program. The research subjects were teachers who were certified educators and taught for about ten years, totaling 56 people. He research method is qualitative. Data collection techniques using questionnaires, interviews, documentation and observation. The results of the research show that the certification program in improving the welfare of economic teachers has been successful but not in improving teacher performance in classroom action research. The negative impacts that arise must be considered and corrected so as not to disrupt the stability of an already good program.

The challenge of predatory publishing in India and steps taken to prevent it

India continues to account for a large share not only in publishing predatory journals but also in publishing papers in such journals. The sheer number of academics in India, the continued pressure on them to publish, and the country’s capabilities in information technology are the driving forces. Despite sporadic attempts to find acceptable alternatives to using publication metrics for evaluating scientists and academics, the number of papers published by them in journals, a metric usually refined by introducing some measures of the quality of the journals in which the papers are published, continues to be the most widely used criterion for evaluating research performance. This emphasis favours predatory or deceptive journals because they offer rapid publication and usually have more modest article-processing charges. To prospective authors, such journals often appear indistinguishable from legitimate scholarly journals. This article (1) seeks to bridge that gap in knowledge by suggesting some ways of choosing the right journals and pointing out a number of features of predatory or deceptive journals to help authors to identify and avoid those journals; (2) offers a brief overview of measures taken by the authorities in India to curb predatory journals and the practice of publishing papers in such journals; and (3) suggests some novel ways other than publication metrics of assessing researchers.

Research on Environmental Performance Evaluation of Metallurgical Listed Companies Based on Analytic Hierarchy Process

In recent years, the public has paid more and more attention to environmental issues, and building a resource-saving and environment-friendly society has become one of the important goals of China's economic construction. Therefore, metallurgical listed companies urgently need to build a reasonable and effective environmental performance evaluation index system to evaluate the environmental management effect of enterprises. Based on analytic hierarchy process, aiming at the lack of environmental performance evaluation research of metallurgical listed companies at this stage, this paper will design and build an environmental performance evaluation index system for metallurgical enterprises, and reasonably and scientifically evaluate the environmental situation of metallurgical listed companies from the perspective of economic input, environmental governance, and social concern, and draw the following conclusions: (1) metallurgical listed companies should put environmental governance at the top of the overall environment, We will invest more in environmental protection projects and project the concern of enterprises to the society. (2) The environmental protection of listed metallurgical companies is not only the macro goal of the company, but also needs to enable more stakeholders to actively participate in the process of environmental governance. (3) To build an environment-friendly society, we need not only government supervision, but also all kinds of enterprises to enhance their sense of social responsibility.

Applying quantified indicators in Central Asian science: can metrics improve the regional research performance?

Quantified indicators are increasingly used for performance evaluations in the science sectors worldwide. However, relatively little information is available on the expanding use of research metrics in certain transition countries. Central Asia is a post-Soviet region where newly independent states achieved lower research performance relative to comparators in key indicators of productivity and integrity. The majority of the countries in this region showed an overall declining or stagnating research impact in the recent decade since 2008. This study discusses the implications of research metrics as applied to the transition countries based on the framework of ten principles of the Leiden Manifesto. They can guide Central Asian policymakers in creating systems for a more objective evaluation of research performance based on globally recognized indicators. Given the local conditions of authoritarianism and corruption, the broader use of transparent indicators in decision-making can help improve the positions of Central Asian science in international rankings.