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Article
Publication date: 4 March 2014

Arho Suominen and Marko Seppänen

Motivated with the ever growing number of bibliometric trend extrapolation studies, the purpose of this paper is to demonstrate through two technologies how the selection

Abstract

Purpose

Motivated with the ever growing number of bibliometric trend extrapolation studies, the purpose of this paper is to demonstrate through two technologies how the selection of an upper limit of growth affects the correlation and causality of technology development measured with bibliometric data.

Design/methodology/approach

The paper uses Gompertz and Fisher-Pry curves to model the technological development of white light emitting diodes and flash memory, and show with extrapolation results from several bibliometric sources how a typical bias is caused in trend extrapolations.

Findings

The paper shows how drastic an effect the decision to set an upper bound has on trend extrapolations, to be used as a reference for applications. The paper recommends carefully examining the interconnection of actual development and bibliometric activity.

Originality/value

Despite increasing interest in modelling technological data using this method, reports rarely discuss basic assumptions and their effects on outcomes. Since trend extrapolations are applied more widely in different disciplines, the basic limitations of methods should be explicitly expressed.

Details

Foresight, vol. 16 no. 1
Type: Research Article
ISSN: 1463-6689

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Article
Publication date: 10 November 2014

Mary Anne Kennan, Sheila Corrall and Waseem Afzal

How academic libraries support the research of their parent institutions has changed as a result of forces such as changing scholarly communication practices…

Abstract

Purpose

How academic libraries support the research of their parent institutions has changed as a result of forces such as changing scholarly communication practices, technological developments, reduced purchasing power and changes in academic culture. The purpose of this paper is to examine the professional and educational implications of current and emerging research support environments for academic libraries, particularly with regard to research data management and bibliometrics and discuss how do professionals and educators “make space” as new service demands arise?

Design/methodology/approach

The present paper uses data from a recent survey of research support provision by academic libraries in Australia, New Zealand, the UK and Ireland, (authors 2013), and provides additional in depth analysis of the textual responses to extend the analysis in the light of forces for change in higher education. The original online questionnaire surveyed current and planned research support in academic libraries, and constraints or support needs related to service developments. It was distributed to 219 institutions in Australia, New Zealand, the UK, and Ireland, and obtained 140 valid responses (response rate of 63.9 percent). Results were analyzed using descriptive statistics with thematic categorization and coding for the textual responses.

Findings

Most academic libraries surveyed are already providing or planning services in the focal areas of bibliometrics and data management. There was also increasing demand for other research support services, not the focus of the study, such as eresearch support, journal publishing platforms, and grant writing support. The authors found that while many academic libraries perceive increasing research support services as a “huge opportunity” they were constrained by gaps in staff skills, knowledge, and confidence and resourcing issues. With regard to staff education and training, it was reported they require a broader understanding of the changing research and scholarly landscape, the research cultures of different disciplines, and technological change. There was a near-universal support for development of more comprehensive, specialized, LIS education to prepare professionals for broader research support roles.

Originality/value

This further analysis of the implications of our survey in relation to influences such as economics, academic culture, technology, raises questions for both educators and practitioners about the future direction of the profession and how the authors collectively “make space” as new potential services arise.

Details

Library Management, vol. 35 no. 8/9
Type: Research Article
ISSN: 0143-5124

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Article
Publication date: 31 August 2012

Sharunizam Shari, Gaby Haddow and Paul Genoni

The purpose of this paper is to describe the methods and findings of a pilot study which applied bibliometrics and webometrics to examine collaboration in Malaysian biotechnology.

Abstract

Purpose

The purpose of this paper is to describe the methods and findings of a pilot study which applied bibliometrics and webometrics to examine collaboration in Malaysian biotechnology.

Design/methodology/approach

The research applied bibliometric and webometric methods to publications and web sites affiliated with Malaysian institutions. The bibliometric analysis focused on biotechnology‐related journal articles indexed in Web of Knowledge. The webometric analysis examined the web sites of top biotechnology institutions generated in the bibliometric analysis. Collaboration behaviour was assessed in three ways: intra‐institutional versus inter‐institutional; national versus international collaboration; and by type of institution collaboration according to the triple helix model.

Findings

Findings of the pilot study, which applied bibliometric and webometric analyses to a limited sample, indicate that the methodologies will collect the desired data for a more extensive study.

Research limitations/implications

The quantitative research results describe the collaboration evident in publications and web sites, but not why it has happened in such a way.

Practical implications

The methodologies provide a framework for similar research exploring the impacts of collaboration in an e‐research environment. The methodology is innovative and practical in terms of the combined use of bibliometric and webometric analyses.

Originality/value

This is one of few studies that has examined collaboration using both bibliometric and webometric methods, and elements of the methodology appear to be unique to the study. The methodologies will contribute to an emerging body of literature that explores the nature of research productivity and research collaboration.

Details

Library Review, vol. 61 no. 8/9
Type: Research Article
ISSN: 0024-2535

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Article
Publication date: 30 August 2011

Leon Pretorius and Dietmar H. Winzker

The aim of this paper is to explore the benefit of forecasting emerging biomedical therapy technologies as well as the rate of diffusion of resultant biomedical products

Abstract

Purpose

The aim of this paper is to explore the benefit of forecasting emerging biomedical therapy technologies as well as the rate of diffusion of resultant biomedical products in the context of management of technology.

Design/methodology/approach

The research method is exploratory using a case study approach. Techniques such as bibliometric analysis and the Bass diffusion model are utilized to assess the growth rate and market penetration of pulsed electromagnetic field therapy (PEMF) as a technology.

Findings

The penetration and growth rate of user acceptance of the technology in a global context are simulated across a 15‐year period. The technology forecasting model is also used in a case study to simulate the penetration of a product using ten years' medical application data of a patented pulsed electromagnetic field for biomedical therapy application in the global context. Useful correlation between bibliometric data for PEMF and real data for the case study is illustrated.

Research limitations/implications

The research is limited to the case of PEMF data presented. Further research may be done on other PEMF technology applications.

Practical implications

Aspects of a holistic management model that was developed for high technology companies are invoked in the practical realisation of the professional paradigm shift required when an emerging biomedical therapy technology is in the process of becoming mainstream.

Originality/value

It has been shown that technology diffusion traces exist for PEMF therapy technology as is evident from the bibliometric PEMF global data presented. Furthermore it is possible to simulate the PEMF therapy technology diffusion process with a Bass diffusion model incorporating innovation imitation and market size coefficients.

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Book part
Publication date: 29 March 2014

C. Sean Burns

With the rise of alternate discovery services, such as Google Scholar, in conjunction with the increase in open access content, researchers have the option to bypass…

Abstract

With the rise of alternate discovery services, such as Google Scholar, in conjunction with the increase in open access content, researchers have the option to bypass academic libraries when they search for and retrieve scholarly information. This state of affairs implies that academic libraries exist in competition with these alternate services and with the patrons who use them, and as a result, may be disintermediated from the scholarly information seeking and retrieval process. Drawing from decision and game theory, bounded rationality, information seeking theory, citation theory, and social computing theory, this study investigates how academic librarians are responding as competitors to changing scholarly information seeking and collecting practices. Bibliographic data was collected in 2010 from a systematic random sample of references on CiteULike.org and analyzed with three years of bibliometric data collected from Google Scholar. Findings suggest that although scholars may choose to bypass libraries when they seek scholarly information, academic libraries continue to provide a majority of scholarly documentation needs through open access and institutional repositories. Overall, the results indicate that academic librarians are playing the scholarly communication game competitively.

Details

Advances in Library Administration and Organization
Type: Book
ISBN: 978-1-78190-744-3

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Article
Publication date: 17 March 2020

Jiacheng Liu, Fei Yu and Lixin Song

This study aimed to examine how Medical Expenditure Panel Survey (MEPS) data have been used to support scientific discoveries in biomedical and health sciences, and…

Abstract

Purpose

This study aimed to examine how Medical Expenditure Panel Survey (MEPS) data have been used to support scientific discoveries in biomedical and health sciences, and provide insight to researchers who are interested in using MEPS regarding collaborations and dissemination of research output.

Design/methodology/approach

A bibliometric approach was used to systematically examine the publications that used MEPS data and were indexed by PubMed and Web of Science (WoS). Microsoft Excel and bibliometric tools (WoS and VOSviewer) were utilized for quantitative and bibliometric network analysis. The measures were investigated on the total number of publications by year, research categories, source journals, other datasets/databases co-used with MEPS, funding sources, collaboration patterns, and research topics.

Findings

A total of 1,953 eligible publications were included in this study with the numbers growing significantly over time. MEPS data were primarily used in healthcare services, public environmental and occupational health research. The journals that published the most papers using MEPS were all in the healthcare research area. Twenty-four other databases were found to be used along with MEPS. Over 3,200 researchers from 1,074 institutions in 25 countries have contributed to the publications. Research funding was supported from federal, private, local, and international agencies. Three clusters of research topics were identified among 235 key terms extracted from titles and abstracts.

Originality/value

Our results illustrated the broad landscape of the research efforts that MEPS data have supported and substantiated the value of AHRQ's effort of providing MEPS to the public.

Details

Library Hi Tech, vol. 38 no. 4
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 8 August 2016

Lutz Bornmann and Robin Haunschild

Hicks et al. (2015) have formulated the so-called Leiden manifesto, in which they have assembled the ten principles for a meaningful evaluation of research on the basis of…

Abstract

Purpose

Hicks et al. (2015) have formulated the so-called Leiden manifesto, in which they have assembled the ten principles for a meaningful evaluation of research on the basis of bibliometric data. The paper aims to discuss this issue.

Design/methodology/approach

In this work the attempt is made to indicate the relevance of the Leiden manifesto for altmetrics.

Findings

As shown by the discussion of the ten principles against the background of the knowledge about and the research into altmetrics, the principles also have a great importance for altmetrics and should be taken into account in their application.

Originality/value

Altmetrics is already frequently used in the area of research evaluation. Thus, it is important that the user of altmetrics data knows the relevance of the Leiden manifesto also in this area.

Details

Online Information Review, vol. 40 no. 4
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 20 July 2021

Eymen Çağatay Bilge and Hakan Yaman

This study aims to identify the trends that have changed in the field of construction management over the last 20 years.

Abstract

Purpose

This study aims to identify the trends that have changed in the field of construction management over the last 20 years.

Design/methodology/approach

In this study, 3,335 journal articles published in the years 2000–2020 were collected from the Web of Science database in construction management. The authors applied bibliometric analysis first and then detected topics with the latent Dirichlet allocation (LDA) topic detection method.

Findings

In this context, 20 clusters from cluster analysis were found and the topics were extracted in clusters with the LDA topic detection method. The results show “building information modeling” and “information management” are the most studied subjects, even though they have emerged in the last 15 years “building information modeling,” “information management,” “scheduling and cost optimization,” “lean construction,” “agile approach” and “megaprojects” are the trend topics in the construction management literature.

Research limitations/implications

This study uses bibliometric analysis. The authors accept that the co-citation and co-authorship relationship in the data is ethical. They accept that honorary authorship, self-citation or honorary citation do not change the pattern of the construction management research domain.

Originality/value

There has been no study conducted in the last 20 years to examine research trends in construction management. Although bibliometric analysis, systematic literature reviews and text mining methods are used separately as a methodology for extracting research trends, no study has used enhanced bibliometric analysis and the LDA topic detection text mining method.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 27 October 2020

James C. Ryan

The purpose of this paper is to shed light on the use of bibliometric indicators as a people analytics tool for examining research performance outcome differences in…

Abstract

Purpose

The purpose of this paper is to shed light on the use of bibliometric indicators as a people analytics tool for examining research performance outcome differences in faculty mobility and turnover.

Design/methodology/approach

Employing bibliometric information from research databases, the publication, citations, h-index and newly developed individual annualized h-index (hIa-index) for a sample of university faculty is examined (N = 684). Information relating to turnover decisions from a human resource (HR) information system and bibliometric data from a research database are combined to explore research performance differences across cohorts of retained, resigned or terminated faculty over a five-year period in a single university.

Findings

Analysis of variance (ANOVA) results indicate traditional bibliometric indicators of h-index, publication count and citation count which are limited in their ability to identify performance differences between employment status cohorts. Results do show some promise for the newly developed hIa-index, as it is found to be significantly lower for terminated faculty (p < 0.001), as compared to both retained and resigned faculty. Multinomial logistic regression analysis also confirms the hIa metric as a predictor of terminated employment status.

Research limitations/implications

First, the results imply that the hIa-index, which controls for career length and elements of coauthorship is a superior bibliometric indicator for comparison of research performance.

Practical implications

Results suggest that the hIa metric may serve as a useful tool for the examination of employment decisions for universities. It also highlights the potential usefulness of bibliometric indicators for people analytics and the examination of employment decisions, performance management and faculty turnover in research-intensive higher education contexts.

Originality/value

This empirical paper is entirely unique. No research has previously examined the issue of turnover in a university setting using the bibliometric measures employed here. This is a first example of the potential use of hIa bibliometric index as an HR analytics tool for the examination of HR decisions such as employee turnover in the university context.

Details

Personnel Review, vol. 50 no. 5
Type: Research Article
ISSN: 0048-3486

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Article
Publication date: 25 August 2020

Xinyi Zhang, Yanni Yu and Ning Zhang

This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable…

Abstract

Purpose

This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply chain management under big data from 2012 to 2019 and extracted 777 articles.

Design/methodology/approach

We conducted quantitative analysis and data network visualization of the chosen literature, including authors, journals, countries, research institutions and citations.

Findings

We discovered that the development of this interdisciplinary field has gained increasing popularity among researchers around the world, such as China and the US publishing the most articles and Western states having more cooperation, which indicates this research topic is growing in significance globally.

Originality/value

Scientific and technological revolutions such as big data have been incorporated in various industries. Modern supply chain management has also been combined with the advances in data science to achieve sustainability goals. No studies have reviewed the sustainable supply chain management based on big data. This study fills this gap.

Details

Journal of Enterprise Information Management, vol. 34 no. 1
Type: Research Article
ISSN: 1741-0398

Keywords

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