Bibliographic Analysis of Operations Research Citation in the Environmental Domain

2020 ◽  
Vol 12 (2) ◽  
pp. 67-79
Author(s):  
Peter Keenan
Keyword(s):  
Data Envelopment Analysis ◽  
Operations Research ◽  
Web Of Science ◽  
Research Management ◽  
Data Envelopment ◽  
Bibliographic Analysis ◽  
Analysis Techniques ◽  
Modelling Techniques ◽  
The Web

This article uses bibliographic analysis techniques to examine the papers in the Web of Science database that have citation links to key operations research/management science (OR/MS) journals. The research identified the journals and papers in the environmental domains which cite these OR/MS journals and identify the key journals, papers, and themes. This research shows that environmental disciplines are becoming more important relative to the business and engineering domains that predominated in the previous years. However, much of the citation of OR/MS journals is for techniques like data envelopment analysis (DEA) which are used to conduct research rather than directly model environmental problems. Of the modelling techniques used to address problems in the environmental domains, MCDM methods are the most often cited, reflecting the importance of MCDM with the decision support systems (DSS) field. There are also significant numbers of applications relating to logistics and energy which cite OR/MS papers. Further research is needed to clarify the role of OR/MS techniques in the environmental sector, a domain outside the traditional areas of OR/MS application.

A five-decade review of gender-based occupational segregation: A bibliometric study of influential authors, institutions, and research clusters

2021 ◽  
Vol 30 (2) ◽  
pp. 117-128
Author(s):  
Leena Sachdeva ◽  
Kumkum Bharti ◽  
Mridul Maheshwari
Keyword(s):  
Wage Differential ◽  
Web Of Science ◽  
Occupational Segregation ◽  
Extensive Field ◽  
Organisational Structures ◽  
Gender Based ◽  
Changes Over Time ◽  
Over Time ◽  
The Web

Despite the proliferation of occupational segregation research, only a limited amount has explored it from a gender perspective. The attention that has been given is widely scattered and requires an analysis to identify the major works undertaken and the changes over time. This study aimed to examine and assimilate articles published on gender-based occupational segregation through a bibliometric analysis. The study examined 512 articles published from the early 1970s to 2020 that were retrieved from the Web of Science database. The findings suggest that gender and occupational segregation remain an extensive field of research, although this research comes mainly from North American and European countries. The low representation from developing countries indicates that more research is needed based on these different socio-cultural settings. This study identified three dominant research clusters, namely gendered organisational structures and systems, measurement of occupational segregation, and wage differential. Studies also covered areas including conceptualization, LGBTQ issues, and the role of legislation and institutions in reducing workplace inequalities; thus, providing a direction for scholars and practitioners.

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

scholarly journals GESTÃO DO CONHECIMENTO E GESTÃO DA INOVAÇÃO: UM ESTUDO BIBLIOMÉTRICO NA WEB OF SCIENCE (1945-2015)

2016 ◽  
pp. 113
Author(s):  
Paulo Fernando Marschner ◽  
Lucas Veiga Ávila ◽  
Analisa Tiburski Sommer
Keyword(s):  
Knowledge Management ◽  
Social Science ◽  
Computer Science ◽  
Operations Research ◽  
Information Science ◽  
Web Of Science ◽  
Innovation Management ◽  
Library Science ◽  
Research Management ◽  
Business Economics

Este estudo tem como objetivo analisar as características das publicações sobre Knowledge management (Gestão do conhecimento) e Innovation management (Gestão da inovação) na base de dados Web of Science, no período de 1945 a 2015. O trabalho descritivo e quantitativo, de natureza bibliométrica, busca levantar as características da produção acadêmica. Como principal resultado das 372 publicações analisadas constatou-se que os anos com maior publicação foram os de 2008 e 2015, em especial nas seguintes áreas temáticas: Business economics (Economia Empresarial), Operations research management science (Gestão de Operações), Engineering (Engenharias), Computer science (Ciência da Computação), Information science library science (Ciência da informação/biblioteconomia), Social science (Ciências Sociais). Os documentos são 66,6% proceedings paper, e o principal titulo é o International journal of technology management. Os países com maior número de produção são a China e os Estados Unidos, e o principal idioma é a língua inglesa.

Does Managerial Accounting Research Contribute to Related Disciplines? An Examination Using Citation Analysis

2004 ◽  
Vol 16 (1) ◽  
pp. 163-181 ◽  
Author(s):  
Yaw M. Mensah ◽  
Nen-Chen Richard Hwang ◽  
Donghui Wu
Keyword(s):  
Organizational Behavior ◽  
Citation Analysis ◽  
Operations Research ◽  
Web Of Science ◽  
Warning Signal ◽  
Preliminary Evidence ◽  
Future Research ◽  
Managerial Accounting ◽  
Accounting Research ◽  
The Web

This paper examines two issues. The first issue is the degree of relative isolation of managerial accounting research (MAR) from related disciplines. Using citations collected from the Web of Science, the study shows that MAR published during 1986–2000 in the four leading accounting journals is cited in journals in fields as diverse as economics, operations research, psychology, sociology, organizational behavior, and strategic management. Our findings support Kinney's (2001) observation that accounting researchers have a competitive advantage in areas relating to alternative business measurement structures. The second issue the paper addresses is whether economics-based MAR papers make a greater contribution than papers based on other disciplines, as perceived from their respective citation rates. Our citation analysis finds no evidence that economicsbased papers are cited by non-accounting researchers at a higher rate than MAR based on other disciplines. Extending the comparison to accounting journals covered in the Web of Science did not change this conclusion. We interpret this as a refutation of the contention by Zimmerman (2001) that economics-based MAR papers are more likely to make significant contributions to knowledge. We also report some preliminary evidence that the relevance of MAR to researchers publishing in non-accounting journals is waning. Although this finding is tentative, it may be an early warning signal that should be monitored in future research.

Effects of Data Envelopment Analysis on Performance Assessment

2018 ◽  
pp. 557-581
Author(s):  
Heinz Ahn ◽  
Nadia Vazquez Novoa
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Assessment ◽  
Performance Appraisal ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Financial Assessment ◽  
Dea Efficiency ◽  
Controlling Processes

This paper examines the Data Envelopment Analysis (DEA) methodology from a cognitive perspective. Specifically, it analyzes (a) the role of DEA scores as an overall efficiency measure and (b) to what extent the presence of DEA scores for a non-financial performance appraisal influences a posterior financial performance assessment. The study confirms that the efficiency score acts as a strong performance marker when deciding on which decision making units (DMUs) should be awarded for their non-financial performance. Furthermore, it shows that the results of the non-financial performance evaluation may act as an anchor which significantly influences a posterior financial assessment. These insights have practical consequences for planning, reporting, and controlling processes that incorporate DEA efficiency scores.

scholarly journals UNDERSTANDING ‘FAKE NEWS’: A BIBLIOGRAPHIC PERSPECTIVE

2020 ◽  
pp. 141-172
Author(s):  
Andrew Park ◽  
Matteo Montecchi ◽  
Cai ‘Mitsu’ Feng ◽  
Kirk Plangger ◽  
Leyland Pitt
Keyword(s):  
Web Of Science ◽  
Strategic Communication ◽  
Media Content ◽  
Fake News ◽  
False Information ◽  
Policy Makers ◽  
Bibliographic Analysis ◽  
Global Policy ◽  
Current State ◽  
The Web

False information that appears similar to trustworthy media content, or what is commonly referred to as ‘fake news’, is pervasive in both traditional and digital strategic communication channels. This paper presents a comprehensive bibliographic analysis of published academic articles related to ‘fake news’ and the related concepts of truthiness, post-factuality, and deepfakes. Using the Web of Science database and VOSViewer software, papers published on these topics were extracted and analysed to identify and visualise key trends, influential authors, and journals focusing on these topics. Articles in our dataset tend to cite authors, papers, and journals that are also within the dataset, suggesting that the conversation surrounding ‘fake news’ is still relatively centralised. Based on our findings, this paper develops a conceptual ‘fake news’ framework—derived from variations of the intention to deceive and/or harm—classifying ‘fake news’ into four subtypes: mis-information, dis-information, mal-information, and non-information. We conclude that most existing studies of ‘fake news’ investigate mis-information and dis-information, thus we suggest further study of mal-information and non-information. This paper helps scholars, practitioners, and global policy makers who wish to understand the current state of the academic conversation related to ‘fake news’, and to determine important areas for further research.

scholarly journals Professional Education and Technology Usage for Establishing Methodological Competence among Future Professors: Bibliometric Analysis

2021 ◽  
Vol 16 (19) ◽  
pp. 235
Author(s):  
Ivanna Shubina ◽  
Oleh Plakhotnik ◽  
Olha Plakhotnik
Keyword(s):  
Bibliometric Analysis ◽  
Professional Education ◽  
Core Collection ◽  
Web Of Science ◽  
Education Technology ◽  
Bibliometric Study ◽  
Technology Usage ◽  
Fields Of Study ◽  
The Web

There has been emerging interest in the effectiveness of technology usage in professional education for establishing various competences among future educators. However, the field still lacks in holistic overviews of the role of technology for establishing various competences among future educators. The present bibliometric study was employed to identify and synthesize the results from studies exploring domains of professional education, technology and establishing competence. An author analyzed the papers published in highly ranked and cited journals which were indexed and ranked in the Web of Science Core Collection and Scopus, in the period of 2000 to 2020. The results demonstrated high interest in studied domains within various subjects and fields of study, demonstrating the interest in the opportunities which provide the technology for professional education and developing methodological competences.

scholarly journals Operations Research Problems and Data Envelopment Analysis in Agricultural Land Processing – A Review

2020 ◽  
Author(s):  
Bisera Andrić Gušavac ◽  
Gordana Savić
Keyword(s):  
Data Envelopment Analysis ◽  
Operations Research ◽  
Agricultural Land ◽  
Linear Optimization ◽  
Specific Area ◽  
Mixed Integer ◽  
Data Envelopment ◽  
Detailed Review ◽  
Methods And Techniques ◽  
Research Problems

Research Question: This paper aims at specifying the contribution of operations research (OR) methods and techniques to agricultural land processing. Motivation: Agricultural production is performed on an agricultural land, which has to be exploited in the best possible way, given the increasing human population and the limited availability of the land. Considering the importance of this issue, a large number of research studies dealing with problems in agriculture can be found in the literature, and many of these problems are solved by OR methods and techniques. However, to our knowledge, there are no review papers that deal with this specific area, so the main motivation is to provide a detailed review of selected OR methods application in the agricultural land processing area. Idea: The core idea behind this research is to perceive a real impact of OR methods and techniques implementation in the agricultural land processing. The research is based on detailed literature review for the period 2014-2019 and performed statistics involving publication by year, publication by journal and statistics involving keywords in articles. Data: The review was conducted using online repositories of the papers published in SCI and SCIe journals with impact factors in the period from 2014-2019. Tools: Analyzed papers are divided into three groups according to the OR method applied: linear optimization problems, DEA method and other OR methods (non linear, multicriteria, mixed integer programming, dynamic programming). Papers within the groups are analyzed according to the type of problems solved. Statistical analyses of all collected data were used to get a good insight into the applications of operations research problems and data envelopment analysis in agricultural land processing. Findings: The number of published papers in this specific area has a growing trend over the observed years (with some minor decrease in 2016 and 2019 in comparison with the previous year). All of the articles are related to specific application of the given methods to solving problems in the agricultural land processing, and this is the reason for many different keywords appearing in the articles. Some very important keywords such as “operations research” or “OR” does not appear in any article as a keyword. Inclusion of such common keywords may result in a faster search in repositories of all articles. Contribution: The primary contribution of this paper is a detailed review of application of linear optimization, data envelopment analysis and other OR methods in agricultural land processing in the period 2014-2019.

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