P-Rank 2021 - The top 1000 contributors, the top 1000 collaborators, and the top 250 individuals in business research

P-Rank 2020 – A Publication Ranking (Table of Rankings)

The current national economy needs to foster a culture of entrepreneurship, encourage entrepreneurial initiatives, and create an entrepreneurial ecosystem. In the field of business studies, many scholars have applied various entropy theories to enrich and advance business knowledge. However, the current literature on entrepreneurship and entropy is sparse and disjointed. The previous research does not offer a coherent framework for integrating these two concepts. This research aims to propose a new concept of entrepreneurial entropy. The study uses the literature review, structural equation modelling, and case analysis to construct a preliminary model of entrepreneurial entropy. The study investigated the entrepreneurial performance of four different teams using entropy analysis. The researchers applied six key indicators of entrepreneurship that were developed by four groups of entrepreneurs. They used the structured equation of entropy to calculate the total entropy value for each group. By comparing the entropy values, they were able to draw quantitative conclusions about the effectiveness of the entrepreneurship process. The study will introduce entropy theory to the domain of entrepreneurship and establish a new direction and area of entrepreneurship research. Overall, the proposed concept of entrepreneurial entropy represents a significant step forward in the quest to enrich and advance our knowledge of business and entrepreneurship.

PurposeTo discover Nigel Nicholson's views of the implications of evolutionary psychology for business.Design/methodology/approachNigel Nicholson speaks to editor Sarah Powell about the implications of evolutionary psychology for business. Nigel Nicholson has been a professor at the London Business School since 1990, holding the positions of Chairman of the Organisational Behaviour department (twice), Research Dean, member of the governing body and Deputy Dean. He is widely known for pioneering the introduction of the new science of evolutionary psychology to business. Current major research interests include the psychology of family business, personality and leadership, and people skills in management. Before becoming a business psychologist, he pursued a career as a journalist.FindingsReveals Nigel Nicholson's views on the implications of evolutionary psychology for business.Originality/valueProvides the views of a pioneer in the field of business studies.

Instrument validity, though at the heart of quantitative business research, has not been adequately treated by novice researchers and advisors alike, potentially invalidating otherwise good research. This paper reviews validity in business research and presents practical implications for its assessment. The paper finds immediate use among novice researchers and advisors in assessing instrument validity and by extension entire research validity. As a result, it is hoped quality of researches will improve warranting scrutiny by researchers in the fields of business studies and beyond.

Corporate social responsibility1 (CSR) has been widely discussed, and this term has been growing in importance in various fields of business studies, for example accounting (Gray et al., 1995a). In particular, CSR is often associated with the gradual increase in corporate reporting of social and environmental policies and practices. According to KPMG's (2011) survey, 95% of the largest global 250 companies in the world report on their CSR, and this activity is often known as corporate social disclosure (CSD). Prior CSD studies have paid relatively little attention to controversial industries (see Campbell et al., 2003; Moerman & Van Der Laan, 2005; Tilling & Tilt, 2010).

Purpose – This paper aims to present an interview of a senior scholar to get his perspectives on the field, its history and the future. Design/methodology/approach – A semi-structured in-depth interview was conducted. Findings – It is one person’s personal views, albeit a person with considerable success in the field of business studies. Originality/value – The interview reflects the changes in business schools over the interviewee’s decades of experience.

This study analyzes journal quality metrics and characteristics of leading accounting and finance journals in the Academic Journal Guide. The quality metrics analyzed are Journal Citation Reports (JCR), SCImago Journal Rank (SJR), Source Normalized Impact per Paper (SNIP), and CiteScore. The characteristics analyzed are acceptance rates, issue frequency, journal longevity, number of reviewers, and review time. The findings show that accounting journal SNIP average ratings are higher, finance journal SJR ratings are higher, while the JCR measures are virtually identical. However, CiteScore measures of top-tier accounting journals are significantly higher than those of finance journals. Leading accounting journals are older and have higher acceptance rates. Leading finance journals have more issues, more referees, and longer initial reviews. The journal acceptance rate is the journal characteristic that is the most correlated with measures of journal quality. These findings could be beneficial for accounting and finance junior faculty when working towards promotion and tenure.

To analyse current ranking (2013) of institutions, journals and researchers in the Republic of Macedonia. the country rankings of R. Macedonia were analyzed with SCImago Country & Journal Rank (SJR) for subject area Medicine in the years 1996-2013, and ordered by H-index. SCImago Institutions Rankings for 2013 was used for the scientific impact of biomedical institutions in the Republic of Macedonia. Journal metrics from Elsevier for the Macedonian scholarly journals for the period 2009-2013 were performed. Source Normalized Impact per Paper (SNIP), the Impact per Publication (IPP), and SCImago Journal Rank (SJR) were analysed. Macedonian scholarly biomedical journals included in Google Scholar metrics (2013, 2012) were analysed with h5-index and h5-median (June 2014). A semantic analysis of the PubMed database was performed with GoPubMed on November 2, 2014 in order to identify published papers from the field of biomedical sciences affiliated with the country of Macedonia. Harzing's Publish or Perish software was used for author impact analysis and the calculation of the Hirsh-index based on Google Scholar query. The rank of subject area Medicine of R. Macedonia according to the SCImago Journal & Country Rank (SJR) is 110th in the world and 17th in Eastern Europe. Of 20 universities in Macedonia, only Ss Cyril and Methodius University, Skopje, and the University St Clement of Ohrid, Bitola, are listed in the SCImago Institutions Rankings (SIR) for 2013. A very small number of Macedonian scholarly journals is included in Web of Sciences (2), PubMed (1), PubMed Central (1), SCOPUS (6), SCImago (6), and Google Scholar metrics (6). The rank of Hirsh index (h-index) was different from the rank of number of abstracts indexed in PubMed for the top 20 authors from R. Macedonia. The current biomedical scientific impact (2013) of institutions, academic journals and researchers in R. Macedonia is very low. There is an urgent need for organized measures to improve the quality and output of institutions, scholarly journals, and researchers in R. Macedonia in order to achieve higher international standards.

Background: Novel metrics measure the dissemination of research articles over the web in news stories, blog posts, policy documents, tweets and other resources. We aimed to study the widely-disseminated research articles over the web in 2016 and analyze the scientific metrics of this dissemination. Methods: We have used the Pubmed query in Altmetric explorer to retrieve mentions of the scholarly research on multiple sclerosis in 2016. Altmetric attention score, number of news stories, number of blog posts, and number of tweets were used in this study. We used the top 5 percent of the widely-disseminated articles in 2016 for further analysis. Impact factor (IF), and 5yr-IF for Journals and Citations for each article were retrieved from Thomson Reuters Web of Knowledge. Source Normalized Impact per Paper (SNIP), and SCImago Journal Rank (SJR) for Journals were retrieved from Scopus. We used the Pearson correlation and linear regression to analyze the association of scholar metrics with media metrics on multiple sclerosis research on 15th May 2017, Altmetric data and citations may be subject to slight change afterwards. Results: Pubmed query retrieved 5251 articles published in 2016, Altmetric provided the scholarly mentions for 4693 articles. The top 5 percent of widely-disseminated articles have been mentioned in 3238 news stories, 358 blog posts, and 11014 tweets. When we refined top 5 percent articles to be specific to MS research, Number of news stories for these articles was not correlated with any scientific metric (P>0.05 for IF, 5yr-IF, Citations, SNIP, SJR). Number of blog posts was weakly correlated with IF (r=0.22, P=0.0015), 5yr-IF (r=0.23, P=0.0014), Citations (r=0.32, P< 0.0001), SNIP (r=0.27, P=0.001), and SJR (r=0.16, P=0.02). Number of tweets was weakly correlated with IF (r=0.35, P< 0.0001), 5yr-IF (r=0.34, P< 0.0001), Citations (r=0.24, P=0.005), SNIP (r=0.35, P< 0.0001), and SJR (r=0.28, P< 0.0001). The Altmetric attention score was very weakly correlated with IF (r=0.14, P=0.04), Citations (r=0.16, P=0.02), and SNIP (r=0.17, P=0.01). Conclusion: Web and social media provide new possibilities for researchers to interact and distribute scientific findings among audience. The MS research output dissemination analysis in 2016 showed that number of news stories on the web might not reflect the scientific value of the studies, while number of blog posts and number of tweets are correlated with the scientific metric.

Comparing perceptions of the impact of journal rankings between fields

SCImago Journal Rank (SJR) is one indicator of a journal's reputation. The value is calculated based on several published journals, such as scholarly journals' scientific impact, representing the number of quotes sent to a journal and the relevance or reputation of journals from which the quotations originate. High SJR value means that the corresponding journal has a high reputation. This study aims to approach the SJR classification by implementing a machine learning approach. A simple yet powerful method Naive Bayes Classifier (NBC) is selected. NBC utilizes probability calculations based on Bayes' theorem. However, NBC has an assumption that the attribute values do not depend on each other. This method is optimized using Particle Swarm Optimization (PSO) to overcome this weakness. This study used SJR data of the computer science domain from 2014 to 2017. Publication withaout Q rank is filtered for better performance. As a result, the accuracy of the proposed method is higher than the baseline. The use of PSO significantly improves the NBC performance based on the performed T-test. The PSO-NBC selects four of eight features: H index, Cites/ Doc (2 Years), and Ref. / Doc. Overall results show that using PSO-NBC is closer to SJR rather than using mere NBC.

Journal Metrics in Psychiatry: What do the rankings tell us?

The purpose of this study is to examine the (rank) correlation coefficient of five finance journal ranking methods from Harzing's Journal Quality List in 2016 and one citation count method from the Association Business Schools (ABS) Academic Journal Quality Guide in 2010. We also propose a new way of comparing the actual ranks from the above six journal ranking methods with the random ranks generated from Excel to address which finance ranking method deviates the most from a random ranking.

Ratings of journals for the dissemination of pharmacy-related social and administrative science

Background:Standards for reporting surgical adverse events (AEs) vary widely within the scientific literature. Failure to adequately capture AEs hinders efforts to measure the safety of healthcare delivery and improve the quality of care. The aim of the present study is to assess the prevalence and typology of perioperative AE reporting guidelines among surgery and anesthesiology journals.Materials and methods:In November 2021, three independent reviewers queried journal lists from the SCImago Journal & Country Rank (SJR) portal (www.scimagojr.com), a bibliometric indicator database for surgery and anesthesiology academic journals. Journal characteristics were summarized using SCImago, a bibliometric indicator database extracted from Scopus journal data. Quartile 1 (Q1) was considered the top quartile and Q4 bottom quartile based on the journal impact factor. Journal author guidelines were collected to determine whether AE reporting recommendations were included and, if so, the preferred reporting procedures.Results:Of 1409 journals queried, 655 (46.5%) recommended surgical AE reporting. Journals most likely to recommend AE reporting were: by category surgery (59.1%), urology (53.3%), and anesthesia (52.3%); in top SJR quartiles (i.e. more influential); by region, based in Western Europe (49.8%), North America (49.3%), and the Middle East (48.3%).Conclusions:Surgery and anesthesiology journals do not consistently require or provide recommendations on perioperative AE reporting. Journal guidelines regarding AE reporting should be standardized and are needed to improve the quality of surgical AE reporting with the ultimate goal of improving patient morbidity and mortality.