Data sources for performing citation analysis: an overview

2008 ◽  
Vol 64 (2) ◽  
pp. 193-210 ◽  
Author(s):  
Christoph Neuhaus ◽  
Hans‐Dieter Daniel
Keyword(s):  
Citation Analysis ◽  
Design Methodology ◽  
Research Evaluation ◽  
Data Sources ◽  
Google Scholar ◽  
Content Type ◽  
Citation Indexes ◽  
Data Source

PurposeThe purpose of this paper is to provide an overview of new citation‐enhanced databases and to identify issues to be considered when they are used as a data source for performing citation analysis.Design/methodology/approachThe paper reports the limitations of Thomson Scientific's citation indexes and reviews the characteristics of the citation‐enhanced databases Chemical Abstracts, Google Scholar and Scopus.FindingsThe study suggests that citation‐enhanced databases need to be examined carefully, with regard to both their potentialities and their limitations for citation analysis.Originality/valueThe paper presents a valuable overview of new citation‐enhanced databases in the context of research evaluation.

Adjusting to the unexpected

2015 ◽  
Vol 21 (4) ◽  
pp. 421-438
Author(s):  
Ajay K. Jain ◽  
Sherry Sullivan
Keyword(s):  
Literature Review ◽  
Citation Analysis ◽  
Thematic Analysis ◽  
Design Methodology ◽  
Google Scholar ◽  
High Quality ◽  
Content Type ◽  
Management History

Purpose – This study aims to provide a literature review of the 56 articles published in the Journal of Management History (JMH) from 2000 to 2004. Design/methodology/approach – The authors conducted a thematic analysis using the categories of person, topic or event to classify articles as well as a citation analysis using Google Scholar. Findings – The number of articles published from 2000 to 2004 was almost 50 per cent fewer than published in the previous five years, and citation rates were lower. Originality/value – Results suggest that high-quality articles focused on persons or topics are more likely to be published in the JMH.

Inverse local context analysis

2016 ◽  
Vol 34 (3) ◽  
pp. 405-418
Author(s):  
Wei Lu ◽  
Xinghu Yue ◽  
Qikai Cheng ◽  
Rui Meng
Keyword(s):  
Design Methodology ◽  
Experimental Results ◽  
Data Sources ◽  
Local Context ◽  
Context Analysis ◽  
Content Type ◽  
Practical Applications ◽  
Data Source

Purpose The purpose of this paper is to explore the use of inverse local context analysis (ILCA) to obtain data from limited accessible data sources. Design/methodology/approach The experimental results show that the method the authors proposed can obtain all retrieved documents from the limited accessible data source using the least number of queries. Findings The experimental results show that the method we proposed can obtain all retrieved documents from the limited accessible data source using the least number of queries. Originality/value To the best of the authors’ knowledge, this paper provides the first attempt to gather all the retrieved documents from limited accessible data source, and the efficiency and ease of implementation of the proposed solution make it feasible for practical applications. The method the authors proposed can also benefit the construction of web corpus.

A bibliographic study on big data: concepts, trends and challenges

2017 ◽  
Vol 23 (3) ◽  
pp. 555-573 ◽  
Author(s):  
Deepa Mishra ◽  
Zongwei Luo ◽  
Shan Jiang ◽  
Thanos Papadopoulos ◽  
Rameshwar Dubey
Keyword(s):  
Big Data ◽  
Citation Analysis ◽  
Design Methodology ◽  
Future Directions ◽  
Content Type ◽  
Current Trends ◽  
Bibliographic Study

Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data. Research limitations/implications This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.

The completeness of articles and citation in the Slovene Wikipedia

2014 ◽  
Vol 48 (1) ◽  
pp. 53-75 ◽  
Author(s):  
Manca Noč ◽  
Maja Zumer
Keyword(s):  
Citation Analysis ◽  
Design Methodology ◽  
Content Type ◽  
The Future

Purpose – The purpose of this research was to examine the number and type of sources cited by featured articles from the Slovene Wikipedia with the purpose of assessing their quality. A sample of random articles was also procured in order to give a clearer picture of the content of the Slovene Wikipedia. Design/methodology/approach – A research was conducted on 122 featured articles from the Slovene Wikipedia from 2009, 2010 and 2011. The following aspects of the articles were analyzed: topic and originality of the article and number, language and type of sources cited. Findings – The results have shown that most of the featured articles are adapted from the English Wikipedia, the most common topics being science, sports and history. Based on these results the authors have concluded that despite some deficiencies the featured articles on the Slovene Wikipedia are of much higher quality compared to random articles. Research limitations/implications – The biggest research limitation is the ever changing nature of Wikipedia and its articles, which hinders the process of analyzing results and relying on these results to be relevant in the future. Originality/value – This is the first such research of the Slovene Wikipedia that deals specifically with citation analysis of featured articles. Results of this research offer valuable information to both editors of featured articles and users, as they point out certain deficiencies, which can be eliminated.

Quantifying human resource management: a literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clotilde Coron
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Literature Review ◽  
Human Resource Management ◽  
Human Resource ◽  
Design Methodology ◽  
Theoretical Framework ◽  
Data Sources ◽  
Content Type

PurposeWith a focus on the evolution of human resource management (HRM) quantification over 2000–2020, this study addresses the following questions: (1) What are the data sources used to quantify HRM? (2) What are the methods used to quantify HRM? (3) What are the objectives of HRM quantification? (4) What are the representations of quantification in HRM?Design/methodology/approachThis study is based on an integrative synthesis of 94 published peer-reviewed empirical and non-empirical articles on the use of quantification in HRM. It uses the theoretical framework of the sociology of quantification.FindingsThe analysis shows that there have been several changes in HRM quantification over 2000–2020 in terms of data sources, methods and objectives. Meanwhile, representations of quantification have evolved relatively little; it is still considered as a tool, and this ignores the possible conflicts and subjectivity associated with the use of quantification.Originality/valueThis literature review addresses the use of quantification in HRM in general and is thus larger in scope than previous reviews. Notably, it brings forth new insights on possible differences between the main uses of quantification in HRM, as well as on artificial intelligence and algorithms in HRM.

The role of sociomaterial assemblage on entrepreneurship in coworking-spaces

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Mahmood Aslam ◽  
Ricarda Bouncken ◽  
Lars Görmar
Keyword(s):  
Design Methodology ◽  
Digital Technologies ◽  
Data Sources ◽  
Entrepreneurial Ventures ◽  
Content Type ◽  
Shared Workspaces ◽  
Inductive Research ◽  
Coworking Spaces ◽  
New Formula

PurposeCoworking-spaces are considered as a new formula to facilitate autonomy, creativity, self-efficacy, work satisfaction and innovation, yet they also might overburden their users who in that course intend to limit social interaction and collaboration in the workspace. Thus, the question is how coworking-spaces shape entrepreneurial ventures.Design/methodology/approachThis study used an inductive research methodology based on data from three different data sources, including observations, archives and interviews from managers and entrepreneurs.FindingsThe findings suggest that the materiality in the form of spatial architectures (working, socialization and support structures) shared facilities and infrastructures (utilities, luxuries and specialties), and integrated digital technologies (applications and platforms) influence the flow of communication, internal and external linkages, as well as functional uniformity and distinctiveness. However, there exists an inherent dualism in sociomaterial assemblage in coworking-spaces, which can lead to instrumental and detrimental outcomes for entrepreneurs.Originality/valueThis study explains the role of sociomaterial assemblage on the working of entrepreneurs in shared workspaces.

scholarly journals Text mining analysis roadmap (TMAR) for service research

2020 ◽  
Vol 34 (1) ◽  
pp. 30-47 ◽  
Author(s):  
Mohamed Zaki ◽  
Janet R. McColl-Kennedy
Keyword(s):  
Machine Learning ◽  
Text Mining ◽  
Design Methodology ◽  
Data Sources ◽  
Theory Testing ◽  
Service Research ◽  
Data Types ◽  
Content Type ◽  
Research And Practice ◽  
Mining Methods

Purpose The purpose of this paper is to offer a step-by-step text mining analysis roadmap (TMAR) for service researchers. The paper provides guidance on how to choose between alternative tools, using illustrative examples from a range of business contexts. Design/methodology/approach The authors provide a six-stage TMAR on how to use text mining methods in practice. At each stage, the authors provide a guiding question, articulate the aim, identify a range of methods and demonstrate how machine learning and linguistic techniques can be used in practice with illustrative examples drawn from business, from an array of data types, services and contexts. Findings At each of the six stages, this paper demonstrates useful insights that result from the text mining techniques to provide an in-depth understanding of the phenomenon and actionable insights for research and practice. Originality/value There is little research to guide scholars and practitioners on how to gain insights from the extensive “big data” that arises from the different data sources. In a first, this paper addresses this important gap highlighting the advantages of using text mining to gain useful insights for theory testing and practice in different service contexts.

Vitamin D deficiency in Pakistani population: critical overview from 2008 to 2018

2019 ◽  
Vol 50 (1) ◽  
pp. 105-115 ◽  
Author(s):  
Faiza Syed ◽  
Malik Shah Zaman Latif ◽  
Iftikhar Ahmed ◽  
Sadia Bibi ◽  
Saif Ullah ◽  
...  
Keyword(s):  
Vitamin D ◽  
Vitamin D Deficiency ◽  
Design Methodology ◽  
Present Situation ◽  
Google Scholar ◽  
Pakistani Population ◽  
Content Type ◽  
Considerable Heterogeneity ◽  
Khyber Pakhtunkhwa ◽  
Critical Overview

Purpose The purpose of this paper is to access the present situation of the Pakistani population that suffers from vitamin D deficiency. Design/methodology/approach A review-based study was conducted based on publications from Pakistan between the years 2008 and 2018. The publications were archived from Pub Med and Google Scholar databases. A total of 18 publications were shortlisted, based on the cutoff values of vitamin D sufficiency, insufficiency and deficiency. Findings As per the data, 38.5 per cent of the participants were males, 48.7 per cent were females and 12.8 per cent of the studies have not mentioned the genders of the participants. The cumulative results show that 58.17 per cent (95 per cent CI: 52.17, 64.16) of the population is vitamin D-deficient and 26.65 per cent (95 per cent CI: 21.63, 31.66) is insufficient in vitamin D. The highest level of vitamin D deficiency was reported from Sindh (62.15 per cent), followed by Khyber Pakhtunkhwa (60.57 per cent), Punjab (51.75 per cent) and the Federal Capital (49.25 per cent). Moreover, Cochran’s Q test indicated considerable heterogeneity (p = >0.001) with regard to Vitamin D deficiency (VDD) prevalence found among samples from the selected studies. Originality/value The present analysis suggests that more than half of the Pakistani population suffers from VDD, which, thus, should be considered as an epidemic and treated likewise.

scholarly journals Ideological and financial spaces of budgetary responses to COVID-19 lockdown strategies: comparative analysis of Russia and Ukraine

2020 ◽  
Vol 32 (5) ◽  
pp. 865-874 ◽  
Author(s):  
Veronika Vakulenko ◽  
Igor Khodachek ◽  
Anatoli Bourmistrov
Keyword(s):  
Design Methodology ◽  
Social Economic ◽  
Secondary Data ◽  
Data Sources ◽  
Content Type ◽  
International Agencies ◽  
Key Stakeholders ◽  
Budget Decision ◽  
Budgetary Decisions ◽  
Action Spaces

PurposeTo compare Russian and Ukrainian central governments' reaction to the pandemic, reflected in extraordinary budgetary allocations and to provide our understanding of how those allocations can be attributed to the two countries’ different social, economic and political contexts.Design/methodology/approachThe paper is built on secondary data analysis over a six-month period, i.e. January–June 2020, during which the real-time events were documented in a research diary. The data sources included budgetary and other relevant legislature, official reports from international agencies, news, press conferences and videos of interviews with key stakeholders.FindingsThe findings showed that uncertainty caused by COVID-19 and the corresponding lockdown policies in Russia and Ukraine have produced two divergent patterns of budgetary allocations: step-by-step budgetary allocations in Russia vs one emergency budget decision in Ukraine.Originality/valueThe paper explains the divergence of the central governments' budgetary decisions based on the same lockdown policy, in light of the different ideological and financial legitimized action spaces that frame governmental decisions.

A co-citation study of information security patents in the USPTO database

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elmira Janavi ◽  
Maryam Emami
Keyword(s):  
Information Security ◽  
Citation Analysis ◽  
Design Methodology ◽  
Large Scale ◽  
The United States ◽  
Washington State ◽  
Upward Trend ◽  
Statistical Population ◽  
Content Type ◽  
States Patent

PurposeThe goal of this study was to investigate the co-citation of information security patents in the United States Patent and Trademark Office (USPTO) database.Design/methodology/approachThis research is a scientometrics study that has been conducted using the co-citation analysis. The statistical population of the present study includes all patents of information security filed in the USPTO database from 1971 to 2015. As a result of this search, 30,736 patents were retrieved. In this investigation, UCINET software and its complementary package (NetDraw) were employed to plot scientific maps.FindingsThe findings of this study indicated an upward trend of patents in the field of information security between 1971 and 2015. The “California State” has the top world rank in information security inventions, followed by “Japan” and the “Washington State.” “VAN WIE, DAVID M” is the most cited inventor in the field of information security. The analysis of inventors' co-citation data indicated that “ADAMS, NEIL- LITTLE” and “HERBERT ANTHONY” had the highest co-citation rates with each other and were ranked first. The survey of high-citation inventors based on centrality indices indicated that “LEACH, PAUL J” graded first in degree centrality, “BENALOH, JOSH D” in betweenness centrality and “BENALOH, JOSH D” in closeness centrality.Originality/valueThe co-citation analysis of patents can show the most important patents and the relationships between them. Such analyses can be useful for large-scale policymaking or identification of existing gaps and attempting to address them.

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