Ranking Of Institutions Research Articles

Diversity and Discrepancies in Water‐related University Rankings: Is There a Need for More Consistency or Is There Value in Breadth?

Diversity and Discrepancies in Water‐related University Rankings: Is There a Need for More Consistency or Is There Value in Breadth?

Common pathways to Dean of Medicine at U.S. medical schools.

PurposeWe sought to evaluate common leadership experiences and academic achievements obtained by current U.S. Medical School Deans of Medicine (DOMs) prior to their first appointment as Dean in order to elucidate a common pathway for promotion.MethodsIn April-June 2019 the authors requested a curriculum vitae from each of the 153 LCME-accredited U.S. Medical School DOMs. The authors abstracted data on prior appointments, demographics, and achievements from CVs and online databases. Differences by gender and institutional rank were then evaluated by the Fisher’s exact and Wilcoxon rank sum tests.ResultsCVs were obtained for 62% of DOMs (95 of 153), with women comprising 16% of the responding cohort (15/95). Prior to appointment as DOM, 34% of respondents had served as both permanent Department Chair and Associate Dean, 39% as permanent Department Chair but not Associate Dean, and 17% as Associate Deans but not permanent Department Chair. There was a non-significant trend for men to have been more likely to have been a permanent Department Chair (76% vs 53%, p = 0.11) and less likely to have been an Associate Dean (48% vs 67%, p = 0.26) compared to women. Responding DOMs at Top-25 research institutions were mostly male (15/16), more likely to have been appointed before 2010 (38% vs 14%, p = 0.025), and had higher H-indices (mean (SD): 73.1 (32.3) vs 33.5 (22.5), p<0.01) than non-Top-25 Deans.ConclusionsThe most common pathway to DOM in this study cohort was prior service as Department Chair. This suggests that diversification among Department Chair positions or expansion of search criteria to seek leaders from pools other than Department Chairs may facilitate increased diversity, equity, and inclusion among DOM overall.

Geneza i rozwój rankingów uczelni wyższych

The Author of the article reconstructs the origin and development of rankings of higher education institutions. In the first part the current ranking are listed and the importance of rankings for universities is stressed. Next, the beginning of American rankings in the XIXth century is presented as well ad turning points in methodologies of evaluation. The rankings created by Charles Babcock and James McKeena Cattell in the first decades of XXth century are analysed. The special attention is paid to changes in criteria used to assess the educational institutions in subsequent decades. In conlusive part the Author criticizes rankings for one-dimensional and reductionist approach to academic world.

Is a picture always worth 1000 words? Website images of classrooms and perceptions of the institution

When classroom facilities are out of date, students complain (Habaci et al., in Procedia Soc Behav Sci 64:58-64 2012, https://doi.org/10.1016/j.sbspro.2012.11.008 ). But, before students arrive on campus, what do they know about their classrooms? Media has changed how people acquire information; websites are second only to college tours in influencing prospective students (Langmead in How college websites influence students’ web experience. eCampusNews. Today’s Innovation in Education (2013). https://www.ecampusnews.com/2013/03/21/how-college-websites-influence-students-web-experience/?all ); furthermore, photographs impact website design (Kolowich in 14 of the best college websites (And why they’re so awesome) (2019), Hubspot. https://blog.hubspot.com/marketing/best-college-websites ). Can photographed classrooms influence judgments of the institution itself? In this 2 × 2 between-subjects experiment, participants read a scenario about a college too far away to visit and viewed a website picture of a seminar room (unrenovated or renovated) before responding to measures of classroom satisfaction and college academic life more broadly (e.g., student retention). Institutional rank (mentioned or not), was the 2nd variable. Participants were 300 AmazonMTurk workers, 237 of whom passed manipulation checks and were retained in analyses. The classroom furnishings comprised a scale (10 items, Cronbach’s alpha = 0.879), as did questions dealing with perceptions of the institution (9 items, Cronbach’s alpha = 0.897). Analyses revealed a significant main effect for renovation status, for both the furnishings scale (p < 0.001) and perceptions of the institution (p < 0.001), but not for rank (p = 0.052), with an institution being ranked in the top 50 being viewed more positively. For renovation status, the newer classroom was viewed more positively for both scales. Classroom status also significantly influenced estimates of first-year student retention (renovation status, p < 0.001; rank, p = 0.027), with higher estimates of retention for the renovated classroom and when rank was mentioned.

Need for Talent Management and Investigating Its Impact on Organizational Performance of Higher Education Institutes

Human resources’ is one of the pivot elements in business enterprises to achieve set goals and objectives of new millennium. Competent and skilled workforce have to be permanent stakeholders of a corporation where they use acquired knowledge and gained skills to achieve set milestones in particular industry. Talent management is the task of attracting, acquiring, developing and retaining skilled workforce to achieve desired goals of corporation. The main objective of this research study is to explore the need for talent management and investigating its impact on the organizational performance of higher education institutes. Three factors of talent management are taken into consideration; talent attraction, talent development and talent retention. Using simple random sampling method, one hundred questionnaires were distributed to academic and administrative heads of three public sector universities in jamshoro city. Data is analyzed using cronbach’s alpha, Mean and standard deviation, regression analysis and one sample t test. After analyzing observed data results show positive and significant effect of all three factors of talent management i-e talent attraction, talent development and talent retention on the organizational performance of higher education institutes. It is concluded that talent management is integrated part of better performance and key factor in achieving standards of excellence in higher education institutes. Practicing and implementing talent management will upgrade ranking of institutes at national and international level. Furthermore higher education institutes will show impetus for continuous improvement in imparting quality education to the masses. Faculty and administrative staff of higher education institutes will have opportunity to develop their careers and top management will surely retain skilled employees and have opportunity to grow at par excellence. Keywords: Talent Management, Organizational Performance, Higher Education Institutes.

ПОРІВНЯЛЬНИЙ АНАЛІЗ ПОПУЛЯРНОСТІ УКРАЇНСЬКИХ ЗАКЛАДІВ ВИЩОЇ ОСВІТИ В ІНТЕРНЕТІ

У статті визначено роль інтернет інструментів у популяризації закладів вищої освіти. Проаналізовано популярність українських закладів вищої освіти, використовуючи інструменти пошукової оптимізації SEO (search engine optimization). Розкривається роль і місце інтернет маркетингу в політиці закладів вищої освіти. Охарактеризовано основні проблеми процесу рейтингування закладів вищої освіти та його вплив на забезпечення стандартів якості вищої освіти. Проаналізовано можливий вплив інтернет маркетингу, зокрема через пошукове просування сайтів, на підвищення рейтингу сайту та загальної назви вишу через збільшення запитів. Також на основі академічного рейтингу "Топ-200 Україна 2020", авторами було обрано п’ять університетів технічного спрямування і визначено популярність їх власних назв в областях України у 2010 році і 2020 році на основі web-додатку Google Trends пошукової системи Googlе.

Ranking of Indian Research Intensive Higher Education Institutions using Multiple Ranking Methodologies a Correlation Analysis

This article ranks the same set of Higher Education Institutions (HEIs) in India using four different ranking methodologies, namely, i) NIRF (Overall): used for Overall category of India Rankings; ii) NIRF (Only Research and Professional Practices parameters); iii) Research Ranking Methodology; a new methodology evolved for ranking of research-intensive institutions under NIRF; and vi) IFQ2A index developed by Spanish group of scientists. The four sets of ranked institutions were obtained using methodologies mentioned above and correlation analysis was carried out on these four sets using Pearson Bivariate Correlation. It was found that a very strong and positive correlation exists between ranking of HEIs using new methodology (R2M) evolved for ranking of research-intensive institutions and ranking by HEIs using IFQ2A Index.

Ranking of Institutions of Higher Education

Ranking of higher education institutions (HEI) is a convenient and easily understandable method of evaluation and assessment. An ordinal number assigned to an HEI by a ranking system represents its comparative position in a list of ranked institutions based on marks obtained by it on various performance parameters or indicators. Ranking of HEIs have been lauded and criticised simultaneously. University rankings are often criticised for methodology used, choice of indicators and weightage assigned to them, focus on science, technology and English language publications, assessment of institutions as whole (instead of individual program) and the practice of assigning an ordinal number or a rank to represent quality of an HEI. At the same time, university rankings are lauded for serving as information tools for students, researchers, funding agencies, policy makers and other stakeholders as well as for instilling a competitive spirit amongst institutions to perform better in ranking systems. However, most experts agree that rankings are here to stay in the education market place. As such, although ranking system cannot measure quality of education and research in absolute term, it does serve as indicator to various aspects of quality in higher education, which, in turn, can be used by institutions themselves for improving their performance on these parameters. While universities are welcomed to use rankings for improving their performance, ranking systems should not dictate university policy, either at a national or institutional level, but should be used as a source of information for guiding policies that should be decided according to the needs of the university’s own community, traditions, market niche, national role and so on1.

Revisiting Ranking of Academic Institutions

The article provides an overview of ranking systems including its historical evolution, use of rankings by different stakeholders, ranking indicators, merits and demerits of different ranking systems and performance of Indian universities in in past one decade in global ranking systems. The article briefly describes nine global ranking systems and compares them based on weightage assigned to different categories of indicators and source of data used for ranking of HEIs. Lastly, article provides statistical inter-correlation amongst various ranking systems as well as intra-correlation within ranking systems at interval of five years (2011:2015; and 2016:2020) and 10 years (2011-2020).

IMPROVEMENT OF MATHEMATICAL MODELS OF THE RATING POINT SYSTEM OF EMPLOYMENT

The rapid development of information technology and the growing flow of information require the management of processes without the human factor. At the same time, it serves to organize the management of processes without the human factor in the learning process, to create a transparent environment for assessment, and to improve the quality of education. At present, it is important to meet the demand for quality personnel and youth employment in all countries. To solve these problems, it is necessary to determine the ranking of students in higher education institutions and provide employment based on the rating, as well as to develop an automated system for evaluating the ranking of these higher education institutions. Employers should be able to offer jobs to students with high ratings by selecting higher educational institutions in the required specialization, with open access to an automated system of rating and employment relations. In this paper, mathematical models for calculating rating processes for a system of automation of ratings and employment relationships are studied. In the process of calculating the rating, several parameters were adopted, namely the results of educational, scientific-creative, spiritual-educational activities and indicators of noncompliance of the student with the rules of the higher education institution. Mathematical models of calculation of rating points on the results of educational, scientific-creative, spiritual-enlightenment activity of the student are developed. An experimental experiment is conducted based on the developed mathematical models and the state of the models is analyzed.

Impact of Expanding Window from Three Years to Five Years for Research Performance Parameter in India Rankings

The India Rankings 2020 was announced the 5th annual edition of ranking for higher educational institutions in India based on National Institutional Ranking Framework (NIRF). The impact of NIRF among institutions is progressive on their output, outcomes, and outreach to the society. The government of India is also concentrating on several policy decisions in the education sector based on the results of India Rankings. This paper is focused on the study of Research Performance (RP) parameter on India Rankings while expanding five-years window instead of three-years window. Moreover, the study is also focused on Pearson correlation between three-years research performance score and five-years RP score and weighted score of institutions. It is attempted to derive the Spearman rank correlation between RP rank and overall rank based on all parameters score.

Five Years of India Rankings 2016 2020 an Evolutionary Study

India Rankings i.e. National Institution Ranking Framework (NIRF) started in 2015 and completed its fifth year of yearly exercise in 2020. This article is based on evolutionary study of India Rankings. The study highlights the life cycle of India Rankings including different disciplines and their framework. It also focuses on how the framework is being matured year by year on the basis of availability of data in Institutions. There were several changes / deviations that happened due to non-availability of data or garbage data entered by the Institutes.

Systemic stress test model for shared portfolio networks

We propose a dynamic model for systemic risk using a bipartite network of banks and assets in which the weight of links and node attributes vary over time. Using market data and bank asset holdings, we are able to estimate a single parameter as an indicator of the stability of the financial system. We apply the model to the European sovereign debt crisis and observe that the results closely match real-world events (e.g., the high risk of Greek sovereign bonds and the distress of Greek banks). Our model could become complementary to existing stress tests, incorporating the contribution of interconnectivity of the banks to systemic risk in time-dependent networks. Additionally, we propose an institutional systemic importance ranking, BankRank, for the financial institutions analyzed in this study to assess the contribution of individual banks to the overall systemic risk.

Online Advertising Strategies to Effectivly Market a Business School

Advertising has always played an important role in creating visibility for educational institutions. In today’s time, digital marketing is the sought-after mode as there has been a significant shift from offline to online advertising. With the evolving times, flexibility and convenience take significant importance and it is critical for educational institutions to shift gears and adapt to the new formats. In order to stay relevant and have a competitive advantage, digital advertising helps higher educational institutions go that extra mile in engaging with their potential customers. It also helps in building awareness and attract good quality of students. In the world of digital advertising, ‘Google Advertisement’ is an online advertising platform developed by Google, where advertisers bid to display brief advertisements, service offerings, product listings, or videos to web users. It can place advertisements both in the results of search engines like Google Search and on non-search websites, mobile apps, and videos. Google AdWords offers the most pragmatic solutions and tools to all strategic issues of digital advertising. Click Through Ratio (CTR) stands out as the most significant index of reflecting its influence and impact. Amongst the array of choices, the right strategy requires an academic and strategic backing. The objective of this paper is to assess on the impact of Google Adwords is used in digital advertising campaigns promoting business schools in specific. This research concentrates on CTR as a measure of the campaign’s effectiveness. This paper try’s to understand CTR in the context related to the type of content embedded in these digital advertisements; the structure of this content; and hence identify and suggest new strategies. This paper identifies and proposes the right online advertising strategy that can be used by a Business School (B School).Purposive/non-probabilistic sampling was carried out to choose the specific of Business Schools (B-schools) for this study. The business schools selected were based on the National Institution Ranking Framework (NIRF) 2018 of the Indian Human Resource Development. The data was analyzed using to the Social Sciences Statistical Suite (SPSS). There was only access to publicly available and publicly displayed advertisement with no access to user profile data. CTR was utilized to measure total and proportional engagement. The advertisements were then categorized based on their content and analyzed through a one-way ANOVA test. For the purpose of an operationalizing, CTR was utilized as defined by Pak et. al. (2018): “A ratio showing how often people who see your advertisement end up clicking it.” The main components analyzed are the characteristics of an effective advertisement appearing on the digital platform measured through its Click Through Ratio. One-way ANOVA has been conducted to assess the Click Through Ratio of advertisement segregated in twenty categories based on their format, content and time of appearance. The analysis reflects that Click Through Ratio differs for different format of advertisements, the information that they contain and for the time and day that they appear. Strategies based on these findings are suggested along with discussion, limitations and further scope of research.

Open-Source RIMS for Institute Publication Archiving and Management

The recent development in the institutional ranking by various magazines, private organizations, and government bodies has brought more importance to record management of research publication and research activity (Sunil, 2019). Libraries being the storehouse of knowledge, librarians own the responsibility of managing records about the institute intellectual output and provide data to meet the requirement by assessment, accreditation, survey, and decision-makers. This paper attempts to introduce some of the Research Information Management System (RIMS) tools available in the Open-Source platform to the librarian community. Further, this work discusses certain features that are identified as core or hygiene in RIMS.

Performance measurement model for ranking of educational institutes: a fuzzy reasoning approach

Ranking of educational institutes starts gaining a significant attention among all the stakeholders to know the comparative status of the institutes. This paper presents a comprehensive ranking framework based on fuzzy logic using multiple criteria proposed in National institutional ranking framework (NIRF). The proposed model presents a hierarchical structure of metrics proposed by NIRF to measure the performance attributes and then the overall performance of the institute. Mamdani fuzzy reasoning approach has been adopted to address the inexact causal relationship between the leading (input) and the lagging (output) metrics. Finally, the behaviour of the responses produced by the proposed model has been analyzed and also a comparative study has been conducted between National institutional ranking framework (NIRF) and rankings with proposed rankings system for various institutes.

Research Trends of Systematic Review/Meta-Analysis on Acupuncture Therapy: A Bibliometric Analysis.

ObjectiveWe aimed to explore the hotspots and frontiers of systematic review/meta-analysis on acupuncture therapy according to bibliometric methods.MethodsSystematic review/meta-analysis articles on acupuncture therapy were retrieved from the Web of Science Core Collection. We used CiteSpace 5.6.R5 to analyze annual publication, categories, countries, institutions, journals, authors, cited references, and keywords through visual maps to explore the research hotspots and trends.ResultsAn analysis of 1189 articles in English showed that the total number of publications continually increased in the last 12 years. General medicine was the most used category, and the country and institution ranking highest in this field were China and Beijing University of Chinese Medicine, respectively. The Journal of Alternative and Complementary Medicine was the most prolific journal, and Cochrane Database of Systematic Reviews was the most cited journal. Myeong Soo Lee was the most productive author, and J.P.T. Higgins ranked first in frequency among the cited authors. In the cited references, the top two were Cochrane Handbook for Systematic Reviews of Interventions and the Standards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA). As for keywords, there were 6 main frontiers including interventions, disease, patient, comparisons, study types, and outcomes. The first disease was pain, while the intervention was electroacupuncture (EA).ConclusionThe present study examined the research trends in systematic reviews and meta-analysis on acupuncture therapy through bibliometric methods and revealed potential future hotspots of research in this field.

Transfer of Agricultural and Biological Sciences Research to Patents: The Case of EU-27

Agriculture as an economic activity and agronomy as a science must provide food for a constantly growing population. Research in this field is therefore becoming increasingly essential. Much of the research is carried out in academic institutions and then developed in the private sector. Patents do not have to be issued through scientific institutions. Patents from scientific institutions are intended to have a certain economic return on the investment made in research when the patent is transferred to industry. A bibliometric analysis was carried out using the Scopus and SciVal databases. This study analyses all the research carried out in the field of agronomy and related sciences (Agricultural and Biological Sciences category of Scopus database) by EU-27 countries, which has been cited in at least one international patent. The data show that out of about 1 million published works only about 28,000 have been used as a source of patents. This study highlights the main countries and institutions in terms of this transfer. Among these, Germany, France and Spain stand out in absolute terms, but considering the degree of specialization. Regarding their specialization the institution ranking is led by Swedish University of Agricultural Sciences (58%), AgroParisTech (52%), Wageningen University &amp; Research (48%), and INRAE (38%). It also analyses which journals used for this transfer are most important. For these publications more than 90% of the articles have had a higher-than-expected citation level for the year of publication, the type of publication and the discipline in which they are categorized. The most-obtained research fields can be distinguished as those related to genetics or mo-lecular biology, those related to specific foods, such as cheeses, milk, breads or oils, and, thirdly, the group covering food-related constituents such as caseins, probiotics, glutens, or starch.

Ranking institutions within a discipline: The steep mountain of academic excellence

• We introduce a novel method for ranking institutions within a research discipline. • The Weighted Top Candidate method is a generalisation of an expert selection method. • With a parameter, we can adjust how exclusive our list of expert should be. • Key axiom of the method is stability: the selected institutions form a stable set. • We present a case study in which we rank game theoretical institutions. We present a novel algorithm to rank smaller academic entities such as university departments or research groups within a research discipline. The Weighted Top Candidate (WTC) algorithm is a generalisation of an expert identification method. The axiomatic characterisation of WTC shows why it is especially suitable for scientometric purposes. The key axiom is stability – the selected institutions support each other's membership. The WTC algorithm, upon receiving an institution citation matrix, produces a list of institutions that can be deemed experts of the field. With a parameter we can adjust how exclusive our list should be. By completely relaxing the parameter, we obtain the largest stable set – academic entities that can qualify as experts under the mildest conditions. With a strict setup, we obtain a short list of the absolute elite. We demonstrate the algorithm on a citation database compiled from game theoretic literature published between 2008–2017. By plotting the size of the stable sets with respect to exclusiveness, we can obtain an overview of the competitiveness of the field. The diagram hints at how difficult it is for an institution to improve its position.

“MANY‐CITEDNESS”: CITATIONS MEASURE MORE THAN JUST SCIENTIFIC QUALITY

AbstractCitation counts are increasingly used to create rankings of scholars or institutions: while social scientists are often skeptical of the resulting indexes, economists have mostly been supporters of this approach. Yet, citation metrics have raised two debates in the literature: empirical, regarding their technical use, and theoretical, regarding their meaning and, more generally, the meaning of “scientific quality.” I review this literature highlighting the consequences for the use of citations for research assessment. As an application, I further study the network of citations of publications indexed in Web of Science, authored by all Italian academic economists between 2011 and 2015. I find that the probability of a citation between any two authors depends on similarity in their methods and topics but also, significantly, on various measures of social community and even of ideological proximity. The influence of social relations does not cancel out in the aggregate, as total citations to an individual depend on their network centrality. In the case of economics, citations cannot be interpreted as unbiased proxies of scientific quality.