Green library as a subject of research – a quantitative and qualitative perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Małgorzata Fedorowicz-Kruszewska
Keyword(s):  
Content Analysis ◽  
Web Of Science ◽  
Scientific Literature ◽  
Green Building ◽  
Research Field ◽  
Thematic Structure ◽  
Constant Intensity ◽  
Bibliometric Method ◽  
Content Type ◽  
The Web

PurposeThe objective of the article is to determine the numerical increase in publications on green libraries and the dynamics of its development as well as to determine the thematic structure of the scientific literature in the field of green libraries and its changes as a representation of research in this area.Design/methodology/approachThe research material consisted of publications on green libraries published between 1991 and 2020, indexed in the Web of Science database. The bibliometric method was used to determine the numerical increase in publications on green libraries and the dynamics of its development. In order to characterize the thematic structure of publications representing research in this area, content analysis was performed.FindingsQuantitative analysis of the literature on green libraries has shown that this is a new area of research not explored with constant intensity. The time of publishing materials on green libraries can be divided into two periods: the so-called period of first publications between 1991 and 2006, and the period between 2007 and 2020, when the number of publications increased relatively systematically. The content analysis confirmed the hypothesis that the most frequent theme is the issue of a green building and its management. It showed that the period after 2010 is the time of building a theoretical framework for a new research field, i.e. green libraries.Originality/valueThe main value of the article is the performance of a quantitative and qualitative analysis of the scientific literature indexed in the Web of Science devoted to green libraries, from the moment of the first publications to the present day. The codebook developed for the needs of content analysis can constitute the basis for the development of criteria for the evaluation of green libraries and guidelines for their organization.

The characteristics and evolution of business model for green buildings: a bibliometric approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojing Zhao ◽  
Wei Pan
Keyword(s):  
Core Collection ◽  
Business Models ◽  
Web Of Science ◽  
Green Building ◽  
Green Buildings ◽  
Business Strategies ◽  
Market Demand ◽  
Building Projects ◽  
Content Type ◽  
The Web

PurposeThe wide uptake of green building is hindered by factors such as limited market demand and high up-front cost despite substantial policy incentives. Successful business models (BMs) help facilitate the diffusion of sustainable innovation and have attracted increasing attention. However, little attention has been paid to examining the adoption of green building from the perspective of BM. This paper aims to identify the characteristics of BM that companies adopted to deliver green building projects and examine the evolution path of BM for green buildings.Design/methodology/approachA total of 744 interdisciplinary bibliographic records related to BM and green buildings from the Web of Science Core Collection database have been identified from the Web of Science Core Collection and analyzed through co-author analysis, co-word analysis and co-citation analysis.FindingsBM research mainly focuses on five subjects, namely, environmental science, engineering, business, economics, science and technology. Keywords “strategy”, “capability”, “perspective” and “design” receive the highest centrality index, which suggests that the strategy design and corporate capability are indispensable elements when designing or innovating a company's BM. “BM canvas” and “resource based view” received the burst citations in the recent decade. Twelve research clusters are identified, including performance evaluation, waste management, energy efficiency, BM, project business, professional capital, leadership and product innovation. These topics highlight three evolution direction for green building projects, i.e. life cycle-oriented value proposition, collaborative value delivery and innovative cost and revenue structure.Originality/valueThe findings contribute to a systematic understanding of the underlying mechanisms of BM for green buildings and illuminate the development trend of business strategies for sustainability.

The structure of an innovation ecosystem: foundations for future research

2020 ◽  
Vol 58 (12) ◽  
pp. 2725-2742 ◽  
Author(s):  
Tomás Dias Sant´Ana ◽  
Paulo Henrique de Souza Bermejo ◽  
Marina Fiqueiredo Moreira ◽  
Wagner Vilas Boas de Souza
Keyword(s):  
Systematic Review ◽  
Content Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Ecosystem Structure ◽  
Innovation Ecosystem ◽  
Content Type ◽  
Innovation Ecosystems ◽  
Triple Layer ◽  
The Web

PurposeThe concept of an innovation ecosystem, based on the idea of business ecosystem, has increasingly grown in the literature on strategy, innovation, and entrepreneurship. However, not all innovation ecosystems have the same architectural models or internal collaboration, and existing research rarely deconstructs an ecosystem of innovation and examines its structure. The objective of this article is to systematize the discussion about the structure of an innovation ecosystem and offer a foundation for future research.Design/methodology/approachUsing the Web of Science database as the source for the articles, this paper presents a systematic review of the literature on the structure of the innovation ecosystems. The period of analysis spanned from January 1993 to August 2019. Two methods, bibliometric analysis and content analysis, were used to structure the systematic review.FindingsThe results of the content analysis showed that the main classifications related to the structure of an innovation ecosystem are the ecosystem life cycle (birth, expansion, leadership, and self-renewal), the classification according to the ecosystem level (macroscopic, medium, and microscopic), and the layered structure (core–periphery structure, triple-layer structure, triple-layer core–periphery structure, and framework 6C). The results also showed that studies in the field are concentrated around a small group of authors, and few studies have discussed the structure of an ecosystem.Research limitations/implicationsThis study includes only peer-reviewed articles from the Web of Science database.Originality/valueThis article contributes to innovation ecosystem theory by exploring the characteristics that influence ecosystem structure. In addition to the theoretical contribution, the triple-layer core–periphery framework and the 6C framework set a benchmark for future research on innovation ecosystems.

Data science and its relationship to library and information science: a content analysis

2020 ◽  
Vol 54 (5) ◽  
pp. 643-663
Author(s):  
Sirje Virkus ◽  
Emmanouel Garoufallou
Keyword(s):  
Content Analysis ◽  
Data Science ◽  
Information Science ◽  
Web Of Science ◽  
Research Data ◽  
Library And Information Science ◽  
Content Type ◽  
Knowledge And Skills ◽  
And Training ◽  
The Web

PurposeThe purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.Design/methodology/approachContent analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the LIS perspective.FindingsA content analysis of 80 publications is presented. The articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences. The category of tools, techniques and applications of data science was most addressed by the authors, followed by data science from the perspective of health sciences, data science education and training and knowledge and skills of the data professional. However, several publications fell into several categories because these topics were closely related.Research limitations/implicationsOnly publication recorded in the Web of Science database and with the term “data science” in the topic area were analyzed. Therefore, several relevant studies are not discussed in this paper that either were related to other keywords such as “e-science”, “e-research”, “data service”, “data curation”, “research data management” or “scientific data management” or were not present in the Web of Science database.Originality/valueThe paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.

scholarly journals Resources and Capabilities from Their Very Outset: a Bibliometric Comparison Between Scopus and the Web of Science

2018 ◽  
Vol 10 (4) ◽  
pp. 1
Author(s):  
Mileidy Alvarez-Melgarejo ◽  
Martha L. Torres-Barreto
Keyword(s):  
Web Of Science ◽  
Bibliographic Databases ◽  
Scientific Publications ◽  
Bibliometric Method ◽  
Search Results ◽  
Resources And Capabilities ◽  
New Research ◽  
The Relationship ◽  
The Web

The bibliometric method has proven to be a powerful tool for the analysis of scientific publications, in such a way that allows rating the quality of the knowledge generating process, as well as its impact on firm´s environment. This article presents a comparison between two powerful bibliographic databases in terms of their coverage and the usefulness of their content. The comparison starts with a subject associated to the relationship between resources and capabilities. The outcomes show that the search results differ between both databases. The Web Of Science (WOS), has a greater coverage than SCOPUS has.  It also has a greater impact in terms of most cited authors and publications. The search results in the WOS yield articles from 2001, while Scopus yields articles from 1976, however, some of the latter are inconsistent with the topic being searched. The analysis points to a lack of studies regarding resources as foundations of firm´s capabilities; as a result, new research on this field is suggested.

Paradoxical nature of dynamic capabilities research: a content analysis of literature

2020 ◽  
Vol 15 (5) ◽  
pp. 727-755
Author(s):  
Piotr Wójcik
Keyword(s):  
Organizational Change ◽  
Content Analysis ◽  
Literature Review ◽  
Design Methodology ◽  
Dynamic Capabilities ◽  
Web Of Science ◽  
Science Knowledge ◽  
Content Type ◽  
Organizational Tensions

PurposeThe purpose of the current study is to identify the nature, scope and locus of and to systematize, the conceptual contradictions existing in dynamic capabilities research.Design/methodology/approachThis paper employs a content analysis literature review of 86 papers on dynamic capabilities published between 1997 and 2019, using two databases – EBSCO and Web of Science/Knowledge databases. To structure the review, Smith and Lewis's (2011) categorization of organizational tensions is adopted.FindingsFirst, the findings of this study suggest that DCs not only are shaped by a tension between efficiency and flexibility but also are built upon a large number of contradictory aspects, represented by organizing, performing, belonging and learning paradoxes. Second, the analysis identifies defensive and active responses to these tensions, with the former prevailing in the dynamic capabilities view literature. Both kinds of responses may facilitate or hinder organizational change. Third, it was found that while the literature has focused predominantly on organizing and learning paradoxes, the linkage between these categories remains under-researched.Originality/valueThis study makes three contributions. First, it identifies the scope (i.e. number), locus (analytical level) and nature (paradox categories and sub-categories) of DC-related paradoxes and responses to paradoxical tensions. Second, it shows that the nature and locus of conceptual contradictions are more complex than conceptualized in prior studies, going beyond the contingency and ambidexterity argument of how to deal with DC-related paradoxes. Third, it seeks to extend Di Stefano et al.'s (2014) proposition of integrating paradoxical views on different DC-related aspects. The idea of “audio console” introduced in this study highlights the interrelation of paradoxes between the categories and across analytical levels.

scholarly journals Changes in Teacher Training within the TPACK Model Framework: A Systematic Review

2019 ◽  
Vol 11 (7) ◽  
pp. 1870 ◽  
Author(s):  
Javier Rodríguez Moreno ◽  
Miriam Agreda Montoro ◽  
Ana Ortiz Colón
Keyword(s):  
Teacher Training ◽  
Content Knowledge ◽  
Web Of Science ◽  
Scientific Literature ◽  
Empirical Studies ◽  
Daily Practice ◽  
High Impact ◽  
Model Framework ◽  
Documentary Analysis ◽  
The Web

The TPACK model represents a high-impact advance in teacher training regarding their technological, pedagogical and content knowledge. This research presents an analysis of several publications in international databases that address the matter of the TPACK model. Accordingly, a review of the scientific literature applying the documentation as a systematization method was performed. The present study analyses 37 contributions, published between 2014 and 2017, indexed in the Web of Science (WOS) and Scopus databases, with TPACK and TPCK as the applied descriptors. Thus, the documentary analysis was based on four different criteria: public, topic, main results, and methodological design. Results show that all the reviewed publications are mainly focused on studies of basic and higher education where case studies, quantitative empirical studies, and mixed studies are predominant. Consequently, regarding the studies analyzed, there is a lack of longitudinal studies showing the teachers’ actions when applying TPACK in their daily practice.

Citations to chemical databases in scholarly articles: to cite or not to cite?

2019 ◽  
Vol 75 (6) ◽  
pp. 1317-1332 ◽  
Author(s):  
Robert Tomaszewski
Keyword(s):  
Web Of Science ◽  
Scientific Literature ◽  
Citation Index ◽  
Citation Count ◽  
Growth Curves ◽  
Communication Process ◽  
Chemical Databases ◽  
Content Type ◽  
Major Chemical ◽  
Science Citation Index Expanded

Purpose Chemical databases have had a significant impact on the way scientists search for and use information. The purpose of this paper is to spark informed discussion and fuel debate on the issue of citations to chemical databases. Design/methodology/approach A citation analysis to four major chemical databases was undertaken to examine resource coverage and impact in the scientific literature. Two commercial databases (SciFinder and Reaxys) and two public databases (PubChem and ChemSpider) were analyzed using the “Cited Reference Search” in the Science Citation Index Expanded from the Web of Science (WoS) database. Citations to these databases between 2000 and 2016 (inclusive) were evaluated by document types and publication growth curves. A review of the distribution trends of chemical databases in peer-reviewed articles was conducted through a citation count analysis by country, organization, journal and WoS category. Findings In total, 862 scholarly articles containing a citation to one or more of the four databases were identified as only steadily increasing since 2000. The study determined that authors at academic institutions worldwide reference chemical databases in high-impact journals from notable publishers and mainly in the field of chemistry. Originality/value The research is a first attempt to evaluate the practice of citation to major chemical databases in the scientific literature. This paper proposes that citing chemical databases gives merit and recognition to the resources as well as credibility and validity to the scholarly communication process and also further discusses recommendations for citing and referencing databases.

Growth of Headache Research: A 1983–2014 bibliometric study

Cephalalgia ◽  
2016 ◽  
Vol 37 (13) ◽  
pp. 1299-1309 ◽  
Author(s):  
Claude Robert ◽  
Concepción S Wilson ◽  
Richard B Lipton ◽  
Charles-Daniel Arreto
Keyword(s):  
Science Citation Index ◽  
Web Of Science ◽  
Scientific Literature ◽  
Citation Index ◽  
Scientific Journal ◽  
Journal Literature ◽  
Geographic Spread ◽  
The Usa ◽  
Science Citation Index Expanded ◽  
The Web

Aim This study charts the growth of the scientific journal literature on headache for 30+ years (1983–2014). Methods Using the Web of Science, articles published in four two-year periods (1983–1984, 1993–1994, 2003–2004, 2013–2014) from journals indexed in the Science Citation Index Expanded database were retrieved and analyzed. Results From 1983–1984 to 2013–2014, the scientific literature on headache increased nearly fourfold (3.8) from 468 to 1776 articles; the number of participating countries more than doubled (26 to 67); and the two most prolific countries in each period were the USA and Italy. While several European countries (Italy, Germany, UK and Denmark) were among the top 10 in each period, the notable appearance of Turkey, China and Brazil among the top 10 in 2013–2014 indicates the growing geographic spread of publications on headache research. Meanwhile, the comet-like distribution of journals has not changed: two journals, Headache and Cephalalgia, persist throughout as the nucleus, with the tail increasing more than threefold from 141 journals in 1983–1984 to 462 in 2013–2014. Conclusion Our study follows the recent growth and spread of the scientific literature on headache research and should stimulate further bibliometric investigation in this field.

scholarly journals Computer science in Eastern Europe 1989-2014: a bibliometric study

2015 ◽  
Vol 67 (5) ◽  
pp. 526-541 ◽  
Author(s):  
Dalibor Fiala ◽  
Peter Willett
Keyword(s):  
Computer Science ◽  
Web Of Science ◽  
Science Research ◽  
Bibliometric Study ◽  
Eastern European ◽  
Content Type ◽  
Publication Rates ◽  
Computer Science Research ◽  
The Individual ◽  
The Web

Purpose – The purpose of this paper is to study the development of research in computer science in 15 Eastern European countries following the breaching of the Berlin Wall in 1989. Design/methodology/approach – The authors conducted a bibliometric analysis of 82,121 computer science publications indexed in the Web of Science database and investigated publication, citation, and collaboration patterns of the individual countries. Findings – Poland has been the most productive country, followed by Russia, the Czech Republic, Romania, Hungary, and Slovenia. Publication rates have increased substantially over the period, but this has not been accompanied by a corresponding increase in the quality of the publications. Hungary and Slovenia are the most influential countries in terms of citations per paper. Artificial Intelligence is the most frequently occurring computer science subject category, with Interdisciplinary Applications the category with the greatest impact. USA, Germany, UK, France, and Canada are the most frequently collaborating western nations, and papers published in collaboration with US authors accrue the most citations. Originality/value – This is the first ever bibliometric study of the whole post-communist Eastern European computer science research as indexed in the Web of Science.

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