Scientific Research Performance Research Articles

Optimization of University Scientific Research Performance Evaluation Management Based on Back-Propagation Artificial Neural Network

Optimization of University Scientific Research Performance Evaluation Management Based on Back-Propagation Artificial Neural Network

Study on Employee Engagement in Higher Education Institutions: A Comparative study on Private and public HEIs

Employee engagement is a vital aspect in any organization, including Higher Education Institutions (HEIs). It refers to the level of commitment, motivation, and involvement of employees towards their work and the organization they work for. In the context of HEIs, employee engagement is crucial as it directly impacts the quality of education and overall performance of the institution. This paper aims to analyze and compare the level of employee engagement in private and public HEIs, and identify the factors that influence employee engagement in these institutions. According to the latest research, employee engagement is a critical factor in the success of any organization. When employees are engaged, they are more productive, motivated, and committed to their work. This study aims to explore the various factors that contribute to employee engagement and how it impacts overall organizational performance. Through in-depth interviews and surveys, we will gather valuable insights into the drivers of employee engagement and the best practices for fostering a positive and engaging work environment. Stay tuned for the results of our findings and the implications for your organization's success. Employee engagement is a multifaceted concept that is influenced by a range of factors, including leadership, communication, work culture, and job satisfaction. In order to gain a comprehensive understanding of employee engagement, it is important to consider the interplay of these various elements within the organizational context. Effective leadership plays a pivotal role in shaping the engagement levels of employees. Leaders who demonstrate empathy, provide clear direction, and support the professional development of their teams are more likely to foster a sense of purpose and commitment among employees. Additionally, open and transparent communication channels are crucial for keeping employees informed and engaged with the organization's goals and initiatives. Moreover, creating a positive work culture that promotes collaboration, recognition, and work-life balance is essential for sustaining high levels of employee engagement. Organizations that prioritize the well-being of their employees and offer opportunities for growth and advancement are more likely to experience greater levels of engagement and productivity. As we delve deeper into our research, we anticipate uncovering key insights into how organizations can leverage these factors to enhance employee engagement and ultimately drive improved performance and International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 02 | February - 2024 SJIF Rating: 8.176 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM28484 | Page 2 success. Stay tuned for the upcoming results that will provide actionable recommendations for enhancing employee engagement within your organization.

Data Envelopment Analysis of Scientific Research Performance for Higher Vocational Colleges

Data Envelopment Analysis of Scientific Research Performance for Higher Vocational Colleges

The Impact of International Exchange and Cooperation on The Scientific Research Performance of Local Universities

In order to comprehensively analyze the impact of international exchange and cooperation on the scientific research performance of local universities, based on the provincial panel data from 2009 to 2020, the dynamic panel data model is used to empirically analyze the relationship between international exchange and cooperation and the scientific research performance of local universities. The results show that international education and cooperation have a positive impact on the scientific research performance of local universities, and this promotion effect has heterogeneity among universities in different regions. Knowledge exchange and interaction positively affect the relationship between international education and cooperation and scientific research performance of local universities. Therefore, local universities should further expand the scope of international science and technology and exchange and cooperation under the background of national innovation-driven, establish a new mechanism conducive to scientific research innovation and talent exchange and introduction, promote the circulation and sharing of innovative resources, and realize the high output of scientific research in universities.

Evaluation of Scientific Research in Universities Based on the Theories for Sustainable Competitive Advantage

Under the background of insufficient scientific research funding, evaluating the level of scientific research from the perspective of sustainable development is necessary. The study aims to develop an evaluation index system based on the theories for sustainable competitive advantage (SCA), which could be used to evaluate the sustainable development trend of scientific research in universities. In this study, 42 world-class universities in China are used as examples to calculate their SCA performance in scientific research using the entropy and equal weights methods. The scores of scientific research in different universities in the Academic Ranking of World Universities (ARWU) in 2021 are used to verify the effectiveness of the evaluation index system. The results show that the evaluation index system can effectively predict the scientific research performance of universities in the future. It could be deduced from the results that universities with better scientific research performance meet the needs of the external market better and have more valuable, rare, imitable, and ambiguous resources but a lower level of scientific research dynamic ability. The evaluation index system makes up for the lack of emphasis on the potential scientific research capacity of the university in the current evaluation methods. It can help university administrators formulate relevant scientific research management regulations.

Research on the Growth Experience of Presidents and Scientific Research Performance of Top Universities in China

More than half of the presidents in top universities of China have been grown up in their original universities. According to the upper echelon theory, the “indigenization” characteristics of university presidents will have an impact on their cognitive level and thus affect the scientific research performance of universities. Based on data from the National Natural Science Fund Projects and the National Social Science Fund Projects of China from 2007 to 2016, as well as individual characteristics of presidents, this paper empirically investigates the influence of the growth experience of presidents in 115 “Project 211” universities on scientific research performance. The results show that the presidents who grow up from the original universities have a significant negative impact on national fund projects, especially on the national natural science foundation projects. This paper suggest that the reason maybe the insufficient motivation and less access to external resources for native presidents. Some corresponding policy recommendations are proposed for this purpose.

THE EFFECT OF DEMOGRAPHIC CHARACTERISTICS OF THE RESEARCHERS ON THE PERFORMANCE OF RESEARCH INSTITUTIONS IN SRI LANKA

A countrys scientific research performance influences all aspects of a countrys future, its development, economic growth, and greater social well-being of the country. However, very few previous scientific studies have focused on the factors affecting a science research institutes research performance in Sri Lanka. The study focusses to identify whether the research performance of research institutions coming under the State Ministry of Skills Development, Vocational Education, and Research & Innovation is affected by demographic characteristics. Purpose The purpose of this research was to identify whether the research performance of research institutions is affected by demographic characteristics. Design/Methodology/Approach To achieve the study aims, primary and secondary data were predominantly used. The study is carried out by perusing recent, major journals and papers on the topic that are published in reputable, high-quality journals. Data on academics research performance has been taken from NASTEC reports, the NIFS Research Repository, annual reports, and the questionnaire. This quantitative study, which employed a deductive methodology, was carried out using a slightly modified version of a previously validated and reliability-tested questionnaire. Findings The results have shown that researchers with age more than 60 years and more than 20 years of research experience, highest educational qualification of the researchers, university graduation (highest qualification), and the job category have significantly (P< 0.05) associated with the research performance where gender and the research field do not influence the research performance. Keywords Research performance, Demographic characteristic

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

The scientific wealth of nations with special reference to Algeria: a cross-country productivity analysis of academic research

This article aims at evaluating and explaining cross-country academic research activities through two-stage DEA methodology. A sample of 161 countries including 19 from MENA region is analyzed. In the first stage, DEA is applied to construct Scientometric Indicator Scores (SIS) for the full sample and Scientometric Efficiency Scores (SES) for 116 countries. In the second stage, as postulated by the New Institutional Economics literature, “Quality of Institutions” is treated as a “fundamental” factor explaining these indicators through “Human Capital” channel. Throughout, an IV approach is applied to correct potential biases where both “Quality of Institutions” and “Human Capital” are treated as endogenous variables.With a mean of 1.8 Scopus documents (per thousand people) for Algeria during 1996-2019 and 4.5 for MENA region against 13.2 documents worldwide, MENA countries and particularly Algeria seem to be trailing behind. As shown by DEA scores, the mean constant return to scale (CRS) SIS score confirms that MENA countries are significantly less productive. However, the mean CRS SES score indicates no significant difference suggesting that MENA countries are not significantly less efficient. This last result indicates, as expected, that low performance of scientific research for many developing countries including Algeria, could be explained, at least partly, through low levels of both "Human Capital" and “GERD”. For SIS model, OLS estimations confirm the previous result even if the human capital coefficient is small and barely significant while IV estimations show that human capital coefficient is more than double and highly significant suggesting that the size of the bias due to endogeneity is important. However, a sizable productivity advantage for HIOCED countries is documented beyond what can be attributed to human capital and GERD. Moreover, IV estimations confirm the key role played by the factor “Quality of Institutions” in explaining SIS (and SES) scores differences. Furthermore, “Cultural Zone” and “Identity of Colonizer” as well as “Natural Resources Rents” prove to be significant exogenous variables. These findings seem to be quite robust with respect to alternative measures of “Quality of Institutions” and “Human Capital”

Analysis on the Influencing Factors and Training Strategies of Young Talents in Hospitals under the Background of Big Data

Under the background of big data, young talents in hospitals across my country are constantly striving to exert their personal scientific research and technical capabilities in terms of scientific research performance. At the same time, it also exposed many problems that need to be solved urgently. Under the background of the new era, each hospital needs to exert and increase its training in terms of scientific research and technology research and the use of young talents. By building a scientific platform and establishing an effective scientific research performance evaluation management system, the backbone of outstanding young medical talents can be realized. In the context of big data, this paper studies and analyzes the influencing factors of hospital young talent scientific research and performance management. After the preliminary data collection work, the chi-square verification was carried out on the survey data of young medical scientific research talents. It is confirmed that the research conclusions based on big data have certain basis for improving the scientific research management level of each hospital based on the research conclusions, thus providing a certain theoretical basis for enhancing the scientific research performance of young talents in the hospital.

How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence

• We have constructed the latest dataset that contains diverse data of the most influential AI scholars (as of 2020) by integrating a variety of web resources. • We provided an in-depth analysis of the overall educational characteristics of AI scholars. • We analyzed the differences in the effect of different educational factors on the research productivity of AI researchers in the industry and academia, gaining an extensive understanding of the factors that drive the success of AI talent. The early academic beginning is critical in the development of a researcher's academic career because it helps determine one's further success. We aim to shed light on the path that drives the success of talents in the field of artificial intelligence (AI) by investigating the academic education background of distinguished AI researchers and analyzing the contribution of different educational factors to their research performance. In this study, we collected and coded the curriculum vitae of 1832 AI researchers. Results show that most AI researchers were educated in the United States and obtained their highest degrees from top universities. As for their educational background, approximately 18.27% of AI researchers chose non-AI majors, such as mathematics, physics, and chemistry, instead of AI-related majors, such as computer science. Furthermore, negative binomial regression analysis demonstrates that individuals who publish more during study period will have better research output, whether they are currently in academia or industry. Researchers in academia with overseas degrees published more articles than those without overseas degrees. In terms of interdisciplinary education, a mathematics background leads to increased research visibility of AI researchers in the industry but depresses the scholarly productivity of AI researchers in academia. Academic qualification is the main factor determining the scientific performance of AI researchers in industry, which is not the case in academia. The analysis also showed that individuals who graduated from more prestigious universities tended to receive more citations than those graduating from less famous universities. Moreover, AI researchers in academia who have graduated from prestigious universities seem to pay more attention to the quality of the papers rather than the quantity.

Physiotherapeutic Approaches to Treat Anal Incontinence in Women after Obstetric Trauma

Abstract Introduction Anal incontinence is defined as the loss of voluntary control of fecal matter or gases with a recurrence period longer than 3 months in individuals aged ≥ 4 years; it has a female predominance. Among the treatment modalities is pelvic physiotherapy, the second line of treatment, which promotes the reeducation, coordination, and strengthening of the muscles of the pelvic floor to enable patients to return to their regular activities of daily living. Objective To perform a systematic review on the physiotherapeutic treatments used in women between the ages of 18 and 65 years with a diagnosis of anal incontinence. Material and methods Clinical studies written in Portuguese, Spanish and English were searched on the the following databases: Science Direct, Medical Literature Analysis and Retrieval System Online (Medline) via PubMed, Physiotherapy Evidence Database (PEDro), Scientific Electronic Library Online (SciELO), and Scopus. Results Of the 998 articles found, only 4 studies met the inclusion criteria of the present systematic review. The physiotherapeutic approaches to treat women with anal incontinence are biofeedback, Kegel exercises, electrostimulation, and training of the pelvic floor muscles. The average score on the PEDro scale was of 6.25, which indicates that the methodological quality was good. Conclusion Although pelvic physiotherapy is effective to treat anal incontinence, it must be promoted through the performance of evidence-based scientific research.

A Study on the Impact of Work Stress on Work Performance for Newly-Employed Teachers of Colleges and Universities in Western China

The dual stress from teaching and scientific research performance assessment must be placed on newly-employed teachers of colleges and universities as a special group of teachers of colleges and universities at the beginning of their role change and adaptation. In this paper, the impact of work stress on work performance for newly-employed teachers was analyzed by taking newly-employed teachers of colleges and universities in Western China as research objects. The analysis results showed that work stress had a significant positive correlation to the challenge stress and a significant negative correlation to the hindrance stress. The task performance and the work performance had a significant positive correlation to the work stress and a significant negative correlation to the hindrance stress. In addition, the work-related happiness partially mediates the relationship between the work stress and the work performance.

Jorge Eduardo Hirsch and the Hirsch-index** a Personal Chronicle

The paper tries to find out the working mechanism of birth of one of the nowadays most used scientometric indicators, the Hirsch-index. The effort spent deals with the human feeling called frustration. It is shown how the frustration of a physicist became the basis of an invention of an indicator considered worldwide the best for evaluating the scientific performance of individual researchers.

Options for Selecting and Applying Accounting Policies in Assessing Financial Position and Performance

In writing this article, we noted that accounting policies can influence the size of the outcome, as it derives from the various valuation and calculation methods provided by national accounting regulations. Different financial outcomes result from an entity’s choosing of one approach over another. The research entails objective observation in order to gain a better understanding of the provisions of the accounting regulatory framework governing the selection and application of accounting policies for fixed assets and inventories. The descriptive method, which included elements of comparison, analysis, and deduction, was preferred in rendering the material. As an indirect research technique, the study of provisions of national accounting legislation was employed, and the search engine Web of Science was used according to various selection criteria to determine the performance of scientific research at the international level. The research results can be used both in the practice of entities and for teaching purposes.

Influence of Scientific Collaboration Network on Academic Performance

Collaboration in science is a complex phenomenon that affects scientific performance in various ways. Thus, understanding the influences of the research collaboration network is important for researchers. This paper explores the relationship between research collaboration network structural and scientific research performance and conducts an empirical test with data from 416 scholars. Findings revealed that network stability reduces the scholars' research performance, and network centrality promotes research performance. The network structural holes that the scholar spans, moderate the detrimental effects of network stability. This research provides suggestions for scholars to build a reasonable scientific research collaboration network to improve their research performance.

Research on the Scientific Research Efficiency of Provincial Universities Based on the DEA Model

As the main factor of China’s higher education, effective evaluation of the scientific research efficiency of domestic universities is extremely significant to improve the scientific research management system of local universities, optimize the allocation of scientific research resources, and promote regional economic development. Based on the ten-year statistical data of the compilation of science and technology statistics of colleges and universities, this paper adopts the data envelopment analysis (DEA) model to study the scientific research efficiency of 31 provincial universities in Shandong Province from three dimensions: level, type, and region. The results show that, first, the overall scientific research efficiency of the sample universities is not high and takes on a downward trend; there are some differences, changes in the same direction, and level convergence in each dimension of scientific research efficiency. Second, there is a positive correlation between the comprehensive scientific research strength of the sample universities and the technical efficiency. Third, the level of regional economic development has a positive impact on the scale efficiency of scientific research, which is closely related to the technical efficiency, and there is no positive correlation between these two. Thus, the research suggests that, in the future, colleges and universities should formulate differentiated management policies, build a “Government University” two-level scientific research performance evaluation system guided by scientific research quality, change the concept of scientific research managers, and improve the ability of personnel to improve the efficiency of scientific research in colleges and universities.