Scientific Research Performance Research Articles

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.

RETRACTED ARTICLE: Research on optimization of scientific research performance management based on BP neural network

RETRACTED ARTICLE: Research on optimization of scientific research performance management based on BP neural network

An Empirical Study on Scientific Research Performance of Universities in Different Regions of China Based on PCA and Malmquist Index Method

This paper uses principal component analysis (PCA) and entropy method to construct the evaluation index system of the scientific research performance of universities in 31 provinces and cities in China. Based on the traditional DEA model, the development trend of the scientific research performance of the research objects from 2015 to 2019 is dynamically evaluated by the Malmquist index method. The results show that the scientific research performance of universities in various regions of China is not ideal, and the level of scientific research performance is declining. The total factor productivity of scientific research in the central and western regions is much higher than that in the eastern region. The main factor that hinders the improvement of scientific research performance is the efficiency of technological progress. Finally, aiming at the existing problems, some feasible suggestions are put forward to further improve the input-output efficiency of scientific research in universities.

Application of Analytic Hierarchy Process in Evaluating Higher Industry Vocational Colleges Financial Performance

The financial performance should be evaluated from the perspective of stakeholders in higher vocational colleges firstly. And according to the development status of higher vocational colleges in recent years, a set of evaluation index of financial performance with characteristics of higher vocational colleges should be divided into five major dimensions: the performance of talents training, teaching performance, scientific research performance, performance of social services, logistics support performance. Hence, the financial performance evaluation model based on AHP and five major dimensions is established to solve the major theoretical and practical issues of financial performance evaluation and monitoring in higher vocational colleges. We also try to evaluate the financial performance of some benchmark industry and engineering vocational colleges applying the AHP model. Using statistical program R to analysis the panel data, the results show that the reasonable standards and clear directions can improve the financial performance in higher vocational colleges.

Toprak Organik Karbonu ve Toprak Organik Karbon Stokları üzerine 1970-2021 Yılları Arasında Yapılan Araştırmaların Bibliyometrik Analizi

Bibliometric analysis is widely used to analyze the processes of change in scientific studies around the world. In this context, bibliometric analysis; It is important in determining the trend of research. In this article, a bibliometric analysis of the performance and change processes of scientific research on soil organic carbon and soil organic carbon stocks between 1970 and 2021 was conducted, based on articles published in journals scanned in Web of Science. The sequestration of soil organic carbon in terrestrial ecosystems has a key role in ameliorating the negative effects of climate change, and this attracts the attention of scientists. The results of this study show that the articles on the subject are increasing day by day. Although the first study in this area was conducted in 1991, most of the research was done in 2020. It has been determined that the publication language of most of the articles is English. The most studies are in the category of soil sciences and the most publications related to the subject have been published in Geoderma journal. When evaluated on the basis of research area, the most research is in agriculture, followed by environmental sciences, earth sciences and forestry sciences. The USA and China are the two most active countries in studies, and the USA is the leader in soil organic carbon research. The most cited authors on the subject are Koegel-Knabner, Ingrid, Smith, Pete and Lal, Rattan. Current research focuses on agricultural sciences, earth sciences and ecology. climate change and food security issues have been discussed. It is thought that focusing on carbon budget, food safety and public health issues in the studies to be carried out will contribute to filling the gaps in the related field.

Country Performance Analysis of Swiss Tourism, Leisure and Hospitality Management Research

Based on tradition and high standards, Swiss higher education in tourism and hospitality is ranked among the best in the world. Although scientific research is the foundation of a country’s higher education system, the Swiss Tourism, Leisure and Hospitality Management Scientific Research (Swiss TL&HM-SR) has not yet been subject to a systematic analysis. This paper aims to fill this gap by assessing the Swiss TL&HM-SR performance, as well as identifying and discussing its most prominent topics. To this end, bibliometric data were gathered from the Scopus database and analyzed through a bibliometric mixed-method approach. Results provide a new performance indicator for the Swiss TL&HM-SR in this field of research, and show that innovation and sustainable destination management are particularly prominent topics within Swiss TL&HM-SR. In this context, contributions to these topics in particular are discussed in more detail. The findings provide useful insights for stakeholders aiming to improve sustainability performance through strategic management of destinations, as well as for researchers aiming to follow the latest trends, identify emerging topics and formulate more attractive projects for financing institutions. The study also provides a new and innovative methodological contribution, as it combines different methods of scientific research performance assessment, which can be further employed in other countries or knowledge areas.

A bibliometric analysis of soil research in Brazil 1989–2018

Bibliometric analysis are used by scientists around the world to understand the evolution and scientific contribution of a given area of knowledge, thus mapping the science produced and determining the trend in research topics. This article presents a bibliometric analysis of the performance and evolution of scientific research on soil science conducted in Brazil during the period 1989–2018, based on papers published in journals indexed in the Web of Science. According to this survey, Brazil currently occupies the 9th place in the global ranking of scientific production on soil science in the world, being responsible for 4.1% of the total published papers. Considering only the last decade (2009–2018), however, Brazil is at the 5th place in global ranking, with 5.2% of the total published papers (n = 19,216). The Brazilian institutions that contributed most to the set of publications on soil science were Empresa Brasileira de Pesquisa Agropecuária (Brazilian Agricultural Research Corporation) (17.4%), followed by Universidade de São Paulo - USP (University of São Paulo) (15.4%), and Universidade do Estado de São Paulo - UNESP (São Paulo State University) (9.8%). The most commonly studied themes were “plant growth” (n = 1,649) and “nitrogen” (n = 1,222). In the last decade, however, owing to the importance given to climate change, studies considering the soil as a carbon reservoir (soil organic matter) have intensified. In general, the set of Brazilian publications on soil science can be divided into four main fields: a) chemistry of tropical soils, b) soil physical quality, c) biological nitrogen fixation, and d) soil organic matter dynamics. The USA was the country with the greatest scientific collaboration with Brazilian soil scientists. However, scientific cooperation between Brazil and Latin American countries was low. These results provide a basis for implementing new research projects and scientific collaborations that contribute to the development of soil science research in Brazil.

Does the merger of universities promote their scientific research performance? Evidence from China

University mergers fundamentally aim to enhance the level of higher education and scientific research performance through resource integration by “reorganization”. However, whether university mergers achieve the latter goal has been subject to controversy. With the help of the “quasi-experiment” of Chinese colleges and universities merged in the 1990s, this study determines the impact of university mergers on scientific research performance. Panel data of 431 colleges and universities from 1993 to 2013 in The compilation of scientific and technical statistics of Chinese higher education and difference in differences method are used. Results show that the merger of colleges and universities exert a significant negative impact on the scientific research performance due to excessive government interventions and difficulties in cultural integration. The merger effect is related to the number of university participants and degree of government intervention. Therefore, university mergers cannot effectively promote the level of scientific research, unable to bring economies of scale and rather lead to diseconomies of scale.

Evaluation of Financial Performance of Port Enterprises Based on Radial Basis Function Neural Network

Li, J., 2020. Evaluation of financial performance of port enterprises based on radial basis function neural network. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 255–258. Coconut Creek (Florida), ISSN 0749-0208.An objective, fair, and accurate evaluation of the financial performance of the port enterprises is an important measure to mobilize and improve the enthusiasm of the port enterprises employees and the progress of scientific and technological innovation. This paper proposes a refined evaluation model of the financial performance of port enterprise companies based on the radial basis function (RBF) neural network. The normalized financial performance index data of port enterprise companies are multiplied by the corresponding weight coefficient as the network input, using excellent, good, middle, and F5 grade evaluations as output. The particle swarm optimization algorithm was used to cross-validate the RBF network structure parameters. Through analyzing the RBF network structure and enter and export characteristics, it was found that the trained RBF network weights are highly correlated with the five-level evaluation results and can more accurately distinguish scientific research performance differences than the five-level evaluation results. This weight can be directly used to conduct a detailed evaluation of the financial performance of the port enterprises. This paper promotes the application of RBF networks in the evaluation of financial performance of port enterprise companies and provides new ideas for similar evaluations.

The performance of researchers in multidisciplinary research groups: does social capital matter?

The aim of this article is to discuss the relationship between disciplinary diversity (multidisciplinarity) and the performance of researchers, exploring the moderating role of social capital. The article contributes to the literature explaining the internal processes of multidisciplinary research units and how they affect the scientific performance of researchers. Furthermore, the article explores the potential moderating role of social capital and how relational dynamics can mitigate the potential problems associated with multidisciplinarity. To test the hypotheses proposed, we performed a quantitative study based on a sample of 155 researchers in the field of academic management. Multiple regression analysis was used in the empirical analysis. The findings suggest that a positive relationship between researchers’ performance and multidisciplinarity exists (an inverted U-shaped relationship). Estimations also show that internal social capital moderates this curvilinear relationship, making it possible to achieve higher research performance at higher levels of multidisciplinarity.

Can citation metrics predict the true impact of scientific papers?

Bibliometric quantification is frequently used as metrics for the evaluation of the scientific performance of researchers and institutions. The researchers' merit is usually assessed by the analysis of quantitative parameters such as the number of publications, the impact factor of journals, the total number of citations, or the h-index, although the limitations in translating these indicators into the impact of the outcome of scientific production are a matter of harsh criticism. To assess, based on factual evidences, the validity of traditional bibliometric analyses to conclude on the impact of papers to advance the state of the art, we carried out an innovative methodology on selected publications (test set). This methodology is based on identifying those citations of the test set papers that truly embed the methods, concepts, or hypotheses to build new knowledge and formulate conclusions. The results show that the percentage of citations that reflect the real impact of the papers of the test set has an average value of 12.4% of total citations and is not related to the impact factor of the journal where the test set papers were published. In conclusion, our analysis demonstrates factually, using experimental data, the total failure of using quantitative bulk citation analyses to conclude on the scientific impact of publications. Only a careful analysis of how the work described in papers was embedded on the subsequent work and/or conclusions of others can tell about the real contribution of a published work to the development of new knowledge and advancement of science.

Innovation policy, scientific research and economic performance: The case of Iran

AbstractMotivationWhy, despite substantial investment in science and technology infrastructure during the last two decades, has Iran performed relatively poorly in terms of innovation and economic output? The investment has been wide‐ranging, from the inclusion of science and technology in the National Development Plans to the impressive growth in the number of science and technology parks and incubators. Iran is among the top five countries in terms of science and engineering graduates, and Iran's scientific publications are among the world's fastest‐growing.PurposeThis study attempts to discover the reasons for this poor performance despite the investment.Approach and MethodThis is a qualitative study which tries to explore the research question through extensive archival data and semi‐structured interviews. We also use an inductive bottom‐up approach for data analysis, including open coding of collected data.FindingsOur first level of analysis, based on National Innovation Systems studies, will show that there are two main causes: (a) Iran's industrial policies have been unsuccessful in encouraging domestic firms to export or exposing them to international competition. As a result, there are no meaningful incentives for them to approach technological frontiers by exploiting domestic science and technology infrastructures; (b) whereas universities and research centres have played an important role in the catch‐up process of other newly developed countries by engaging practically with the problems that face their societies, Iranian universities and research centres have become article‐publishing factories.Our second level of analysis will show that behind these two causes are other important latent factors: the power of incumbents and their efforts to maintain the status quo, and the “rules of the game” in the fields of science and technology which have discouraged hands‐on engagement.This study analyses strategic action literature, and proceeds to emphasize the role of incumbents and those “rules of the game” in inhibiting innovation and economic success.Policy ImplicationsEffective innovation policy is not just about investing in science and technology infrastructure, but also about industrial policy, exposing domestic firms to international competition, overcoming entrenched interests and changing paths of career advancement in science and technology so that scientists are less inclined to pursue theoretical work and are encouraged to collaborate closely with business to solve practical problems.

Neuromarketing for small businesses

Neuromarketing for small businesses

Политика идентичности: конкуренция новых теоретических смыслов и политических стратегий

The fragility of the modern unstable world has created both theoretical and methodological crises, and opened up opportunities for discursive and politicalpragmatic transcending the boundaries of linear normative constructions of Modernity. The inclusion of the concepts of identity and identity politics paradigm in the interpretation of political reality, and in instrumental practice appropriate strategies and technologies that lead to improving the performance of scientific research, and at the same time – to the aggravation of the uncertainty and destructive due to the use of political practices, guided around them. The subject field of these concepts is diversified and fragmented, reflecting the multiplicity of referents and generating conceptual and political-instrumental competition. The aim of the research is to trace the theoretical response to changing reality, which is poorly described by the traditional institutional paradigm of political science and requires the incorporation of socio-cultural meanings, which then becomes a catalyst and legitimizing basis for certain political practices. The authors address the conceptual positions of the theories of protest identity (M. Castells) resentiment (F. Fukuyama), pseudo-politics (M. Lilla), politics of life (A. Giddens), tribes and new tribalism (M. Maffesoli) and retrotopia (Z. Bauman).

Research on Scientific Research Performance Evaluation in Colleges and Universities Based on Malmquist Index

Introduction of Kunqu :Kunqu，literally means kun melody, is one of the most ancient forms of Chinese opera. Originally her melody derives from Kunshan zone of Jiangsu province therefore it has been named Kunshan melody before. Now Kunqu also known as Kunju, which means Kunqu opera.

Establishment and application of intelligent evaluation system for scientific research performance

Objective The study built a scientific performance assessing model by using information technology to construct an intelligent reviewing system, in order to provide intelligent and normalized evaluation services for scientific research performance. Methods A comprehensive and novel practical scientific performance reviewing system was established to provide objective evaluation of scientific output, which was based on accumulated experience in Fuwai Hospital and ample discussion by the experts of academic committee. Results Scientific performance assessment service, which carried out by the collaboration of scientific research management department and informational technology center, were including senior professional title self-assessing system, annual scientific research performance assessing system on both the department basis and individual basis. All the service received satisfactory effect making the assessing service from manual to intelligent. It helps the assessment result turn into openness, fairness and justice. The establishment of the intelligent scientific performance assessing system broaden the mind and provide the basis for the further scientific reward self-evaluation, scientific project application conditions filtering, technology professionals intelligent screening, supervising qualification self-evaluation and scientific project self-reviewing etc. Conclusions The establishment of scientific performance reviewing system effectively avoided the subjective influence, provided timely, highly efficient and accurate evaluating service and comparative analysis, enabling the assessment result much more objective and fair. It merits the promotional value. Key words: Evaluation of scientific research performance; Intelligent evaluation; Information system

The Influence of University Teachers' Scientific Research Pressure on Scientific Research Performance, Job Satisfaction, Mediation and Adjustment of Emotional Intelligence

How the research pressure of university teachers affects scientific research performance is an important issue in the current development of university teachers and scientific research management. On the basis of literature research, the relationship between job satisfaction and emotional intelligence as intermediaries and adjustment variables was introduced into the relationship between scientific research pressure and scientific research performance, and empirical research was conducted in the form of questionnaires. The following conclusions were drawn: Higher research pressure; scientific research pressure will have a certain negative impact on scientific research performance; scientific research pressure affects scientific research performance through job satisfaction intermediary; emotional intelligence can effectively positively regulate the impact of scientific research pressure on scientific research performance. On this basis, it puts forward some countermeasures to reduce stress sources, optimize scientific research and assessment system, improve salary and treatment, and cultivate emotional intelligence.

Quality management in research: management process of the laboratories of Moroccan faculties of sciences and techniques

The implementation of a quality management system including management tools in the industrial sector has several advantages. In this perspective, can we use quality management tools to improve the performance of scientific research in Morocco and reduce the gap noticed in this field between the latter and the industrialized countries? To evaluate the level of application of good quality management practices related to scientific research in Morocco, a questionnaire was established and administered to the research laboratories managers of the faculties of sciences and techniques at the national level. Further to this study, it turns out that the good quality management practices related to the laboratory management and research management are applied by a percentage of the laboratories varies between 8 % and 75 %. Regarding the perspectives related to the quality management, 96 % of the laboratories managers declared important or very important the implementation of a quality management system in the laboratory. However, only 17 % have a certification (according to ISO 9001) and/or an accreditation (according to ISO/IEC 17025) project for the next 3 years, considering that the lack of financial means and staff involvement are the first two obstacles for the implementation of such projects. In short, the implementation of good quality management practices in research has several advantages and requires first of all training in the specific standards linked to this area. It also requires the sensitization of managers to the appropriate tools for managing research that can be used and whose purpose is the continuous improvement in the activities.

Discussing Arab Spring’s effect on scientific productivity and research performance in Arab countries

This research letter discusses whether Arab Spring explains the changes in research productivity and impact of Arab countries by identifying non-sociopolitical factors that can be behind the variations of the research performance of several Arab nations such as Qatar, United Arab Emirates, Saudi Arabia, Tunisia, Lebanon and Algeria.

Research on Scientific Research Performance of Humanities and Social Sciences in China’s First-class Universities Based on SE-DEA

The research efficiency of humanities and social sciences in 41 first-class universities in China was measured based on Super Efficiency DEA method. It is found that most universities have higher research efficiency, but the scale efficiency is lower, and the universities with ineffective scale are mostly large-scale universities. Through analysis, the efficiency of universities is driven by insufficient input of resources, inefficiency is caused by insufficient output of results and redundancy of input of resources. There are the following suggestions: one recommends that large-scale universities should appropriately reduce the scale of scientific research; secondly, “pseudo-effective universities” should strengthen output-oriented to achieve real efficiency; at the same time, inefficient universities can improve from the aspects of technology and management capabilities. Keywords: first-class universities, research performance, super efficiency DEA DOI : 10.7176/JESD/10-10-17 Publication date :May 31 st 2019