Scientometrics Analysis on the Intellectual Structure of the Research Field of Bioenergy

Purpose This paper aims at reviewing the extant knowledge management (KM) research field within a strategic alliance context to understand the historical roots, its temporal progression, current state and potential future in a meaningful way. Design/methodology/approach Data for this study was retrieved from the Scopus database using a systematic literature search process. The bibliometric characteristics of 393 research documents were analyzed using bibliometric and structured network analysis. Findings The findings of the study suggest that the publication in the field have been growing with an average rate of 8.48%. This analysis also lists the most productive and impactful authors, main outlets, and the most impactful secondary and primary publication in the field. In addition, the conceptual and intellectual structure of the research field was constructed and discussed. Originality/value This paper uses an objective and quantitative approach by reviewing the related publications and virtually included all the relevant publications in the analysis, which was seen to be uneconomical when doing traditional literature reviews.

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Already grown-up or still in puberty? A bibliometric review of 16 years of data governance research

Corporate Ownership and Control ◽

10.22495/cocv19i1art9 ◽

2019 ◽

Vol 19 (1) ◽

pp. 105-120

Author(s):

Marvin Jagals ◽

Erik Karger ◽

Frederik Ahlemann

Keyword(s):

Research Field ◽

Public Institutions ◽

Intellectual Structure ◽

Future Research ◽

Business Analytics ◽

Data Governance ◽

Corporate Networks ◽

Real Time Analysis ◽

Bibliometric Review ◽

Opening Up

The amount of data and the speed at which it increases grows rapidly. Companies and public institutions try to manage this increasing flood of data effectively and in a manner that adds value. Besides, the companies and public institutions also join corporate networks or platforms to increase their value by sharing their data. The evolution of traditional business intelligence into business analytics, including real-time analysis, increases the high demand for qualitative data. Data governance tries to create a framework to manage these issues. This interdisciplinary research field has now been in existence for nearly two decades. With this contribution, we attempt to provide the research field with a blueprint. This paper aims to explore the past to understand the present and shape the future of data governance. We give an overview of how the research field changed from 2005 to 2020, commenting on its development and pointing out future research paths based on our findings. We, therefore, conducted a bibliometric analysis to describe the research field’s bibliometric and intellectual structure. The findings show that for years the research field concentrated on a few topics, which currently undergoes change and has led to an opening up of the research field. Finally, the results are discussed and future research strands are highlighted

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Energy Efficiency in Cloud Computing: Exploring the Intellectual Structure of the Research Field and Its Research Fronts with Direct Citation Analysis

Energies ◽

10.3390/en14217036 ◽

2021 ◽

Vol 14 (21) ◽

pp. 7036

Author(s):

Adam Kozakiewicz ◽

Andrzej Lis

Keyword(s):

Energy Efficiency ◽

Cloud Computing ◽

Citation Analysis ◽

Research Process ◽

Research Field ◽

Intellectual Structure ◽

Process Data ◽

Science Mapping ◽

Research Fronts ◽

Direct Citation

The aim of the study is to explore the intellectual structure of the field and fronts in research on energy efficiency in the context of cloud computing and thus to contribute to science mapping of the research field. The research process was driven by the following study questions: (1) what are the most influential publications in the research field? and (2) what are the research fronts in the research field? The method of direct citation analysis was employed in the research process. Data for analysis were obtained from the Scopus database and analyzed with the use of VOSviewer science mapping software. In response to the first question, we identified the most influential publications in the research field and analyzed their types (i.e., whether they are original research papers or rather the “context” papers e.g., survey or review papers, framework papers, challenges papers, and study papers). Moreover, a comparison analysis between the types of papers among the most cited “classical” publications and “emerging stars” was conducted. In response to the second research question, we identified five research fronts concentrated around the issues of: virtual machine management (“VM”); task-focus, concerning data replication, task consolidation, and task scheduling (“task”); energy efficiency (“energy”); modelling and optimization (“model”); and energy efficiency in the networking context (“network”).

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A Bibliometric Review of the Knowledge Base for Innovation in Sustainable Development

Sustainability ◽

10.3390/su11205783 ◽

2019 ◽

Vol 11 (20) ◽

pp. 5783 ◽

Cited By ~ 4

Author(s):

Ronald Vatananan-Thesenvitz ◽

Amaury-Alexandre Schaller ◽

Randall Shannon

Keyword(s):

Sustainable Development ◽

Research Field ◽

Intellectual Structure ◽

Environmental Research ◽

Future Research ◽

Science Mapping ◽

The Sustainable Development ◽

Bibliometric Review ◽

Mapping Techniques ◽

Development Literature

This review explores the rising research field of sustainable development in combination with innovation. The basis to reach sustainable development is innovation, which plays a role on all dimensions, be it economically, socially, or environmentally. In this review, science mapping techniques were employed in order to asses 1690 journal articles extracted from the SCOPUS database concerned with innovation in sustainable development (ISD). The main objective of the review is to reveal the size, growth trajectory, and geographic distribution of the ISD literature. Furthermore, the aim is to assess the key publishing journals, authors, and documents as well as to uncover the intellectual structure and topical foci of the research domain. The review acknowledges a reasonable body of knowledge spanning nearly three decades. A result of this review is that the sustainable development literature emerged from the environmental research field and that the topical foci of the domain is closely aligned with the sustainable development goals (SDGs) set by the United Nations. This review is a first attempt to systematically analyze the literature on innovation in sustainable development (ISD) by applying science mapping techniques such as bibliometric analysis. It shall give guidance for future research and demonstrate the practical implications.

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Customer experience research: intellectual structure and future research opportunities

Journal of Service Theory and Practice ◽

10.1108/jstp-08-2020-0193 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jorge H.O. Silva ◽

Glauco H.S. Mendes ◽

Paulo A. Cauchick Miguel ◽

Marlene Amorim ◽

Jorge Grenha Teixeira

Keyword(s):

Conceptual Framework ◽

Methodological Approach ◽

Customer Experience ◽

Research Field ◽

Intellectual Structure ◽

Future Research ◽

Content Type ◽

Research Opportunities ◽

Integrative View ◽

Research Propositions

PurposeThis article aims to synthesize and integrate current research on customer experience (CX), identifying the intellectual structure of the field, systematizing a conceptual framework and identifying future research opportunities.Design/methodology/approachTo analyze 629 articles published in peer-reviewed journals in almost four decades, this study employs both bibliometric co-keyword and thematic literature analysis in a complementary way.FindingsThis article maps the CX literature by describing its intellectual structure in terms of three research domains (customer, organizational and technological), their corresponding most relevant research themes and topics. Moreover, this study develops a conceptual framework and research propositions to summarize and integrate the CX literature. This work recognizes technology as an important driver for the development of CX research. Lastly, this article provides future research opportunities for moving the field forward, considering an integrative view among domains.Originality/valueThis paper complements other reviews on CX by using a novel methodological approach (co-keyword and thematic analysis) that enables the identification and visualization of the CX intellectual structure. In addition, the study explores the increasing connection between technology and CX research, by raising evidence that technology, by continuously modifying services and consequently CX, has become a transversal component in the research field. These outcomes may be useful for academics and practitioners.

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Toward understanding the topical structure of hospitality literature

International Journal of Contemporary Hospitality Management ◽

10.1108/ijchm-11-2017-0714 ◽

2018 ◽

Vol 30 (11) ◽

pp. 3386-3411 ◽

Cited By ~ 7

Author(s):

Eunhye (Olivia) Park ◽

Bongsug Chae ◽

Junehee Kwon

Keyword(s):

Machine Learning ◽

Topic Modeling ◽

Research Field ◽

Intellectual Structure ◽

Machine Learning Techniques ◽

Research Topics ◽

Evolutionary Patterns ◽

Content Type ◽

Learning Techniques ◽

Academic Publications

Purpose This paper aims to identify the intellectual structure of four leading hospitality journals over 40 years by applying mixed-method approach, using both machine learning and traditional statistical analyses. Design/methodology/approach Abstracts from all 4,139 articles published in four top hospitality journals were analyzed using the structured topic modeling and inferential statistics. Topic correlation and community detection were applied to identify strengths of correlations and sub-groups of topics. Trend visualization and regression analysis were used to quantify the effects of the metadata (i.e. year of publication and journal) on topic proportions. Findings The authors found 50 topics and eight subgroups in the hospitality journals. Different evolutionary patterns in topic popularity were demonstrated, thereby providing the insights for popular research topics over time. The significant differences in topical proportions were found across the four leading hospitality journals, suggesting different foci in research topics in each journal. Research limitations/implications Combining machine learning techniques with traditional statistics demonstrated potential for discovering valuable insights from big text data in hospitality and tourism research contexts. The findings of this study may serve as a guide to understand the trends in the research field as well as the progress of specific areas or subfields. Originality/value It is the first attempt to apply topic modeling to academic publications and explore the effects of article metadata with the hospitality literature.

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Sustainability and Tourism Competitiveness in Protected Areas: State of Art and Future Lines of Research

Sustainability ◽

10.3390/su11226296 ◽

2019 ◽

Vol 11 (22) ◽

pp. 6296 ◽

Cited By ~ 5

Author(s):

Nuria Rodríguez-López ◽

M. Isabel Diéguez-Castrillón ◽

Ana Gueimonde-Canto

Keyword(s):

Protected Areas ◽

Web Of Science ◽

Scientific Progress ◽

Research Field ◽

Intellectual Structure ◽

Tourist Destinations ◽

The Usa ◽

And Control ◽

Bibliometric Approach ◽

Dominant Paradigm

The sustainability approach applied to tourism has been taking shape as a dominant paradigm in tourism research, as well as becoming a requirement to achieve tourism competitiveness. This paper focuses specifically on the application of both concepts to protected areas, as tourist destinations. A bibliometric approach is adopted to provide information about the patterns and trends in the accumulation of knowledge related to this field, as well as to map its social, conceptual, and intellectual structure. Both evaluative and relational techniques are used to analyse the papers published until August 2019 and collected in the Web of Science (WoS) and Scopus databases. The results indicate that the research field has experienced significant growth in the last decade, with institutions of the USA and Australia as stimuli of scientific progress in this field. This study finds eight thematic clusters, although there is subject dispersion within each cluster, linked to the emerging and multidisciplinary nature of the field. Based on the working lines open, the study also identifies possible future approaches, linked to the incorporation of the perspectives and objectives of the different stakeholders, and the development of indicators to monitor and control dimensions of interest.

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Human reliability analysis: Exploring the intellectual structure of a research field

Reliability Engineering & System Safety ◽

10.1016/j.ress.2020.107102 ◽

2020 ◽

Vol 203 ◽

pp. 107102 ◽

Cited By ~ 1

Author(s):

Riccardo Patriarca ◽

Marilia Ramos ◽

Nicola Paltrinieri ◽

Salvatore Massaiu ◽

Francesco Costantino ◽

...

Keyword(s):

Reliability Analysis ◽

Research Field ◽

Intellectual Structure ◽

Human Reliability ◽

Human Reliability Analysis

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Worldwide Research on Open Innovation in SMEs

Journal of Open Innovation Technology Market and Complexity ◽

10.3390/joitmc8010020 ◽

2022 ◽

Vol 8 (1) ◽

pp. 20

Author(s):

David Sabando-Vera ◽

Marcela Yonfa-Medranda ◽

Néstor Montalván-Burbano ◽

Jose Albors-Garrigos ◽

Katherine Parrales-Guerrero

Keyword(s):

Open Innovation ◽

Business Models ◽

Scientific Output ◽

Research Field ◽

Intellectual Structure ◽

Academic Field ◽

Output Performance ◽

Close Relationship ◽

Scientific Fields ◽

Selection Of

Research on open innovation (OI) has increased in recent years, showing its potential in various areas of knowledge. Its relation to small and medium-sized enterprises has attracted the attention of academics. This article aims to evaluate the intellectual structure of the scientific study of OI, and its close relationship with various scientific fields, through a bibliometric analysis of this academic field using the Scopus database and the application of the VOSviewer software. The methodology comprises a rigorous systematic and transparent process divided into four phases: (i) the establishment of search criteria for the research field, through a literature review for its selection; (ii) the selection of the database, the establishment of the search equation and extraction of information; (iii) the application of inclusion and exclusion criteria for the selected documents and an explanation of the usefulness of the software; and (iv) the analysis of the results through the approaches of scientific output performance and bibliometric mapping. The results show an increasing trend of IO publications in SMEs, consolidated in 396 articles with contributions from 65 countries and 947 authors. The intellectual structure shows seven themes related to firm performance, R&D networks, business management, business models, capabilities and knowledge transfer. This study contributes to the field by providing an overview of IO in SME contexts. It also provides insightful information to policymakers for developing policies for firm economic growth.

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Developments in the knowledge-based economy research field: a bibliometric literature review

Management Review Quarterly ◽

10.1007/s11301-021-00241-w ◽

2021 ◽

Author(s):

Gloria Aparicio ◽

Txomin Iturralde ◽

Ana Vilma Rodríguez

Keyword(s):

Literature Review ◽

Relevant Literature ◽

Knowledge Work ◽

Research Field ◽

Intellectual Structure ◽

Knowledge Generation ◽

Future Research ◽

Holistic View ◽

Knowledge Based ◽

Knowledge Based Economy

AbstractThis study aims to synthesize and organize existing the knowledge in the knowledge-based economy (KBE) research field. Using the Web of Science Core Collection, this study conducts a bibliometric literature review of 1228 articles published from 1991 to 2020. The results reveal the research evolution and identify some of the field’s most active and influential articles, journals, and authors. Moreover, this analysis enhances the understanding of the research field’s conceptual and intellectual structure based on a global overview of the relevant literature and its authors. The bibliometric analysis also reveals seven thematic clusters: (1) KBE fundamentals, (2) knowledge management, (3) knowledge work, (4) knowledge generation, (5) knowledge environments, (6) new post-capitalism, and (7) KBE reconceptualization. These clusters provide a holistic view of the field and, in so doing, facilitate future research by providing a research map as to guide the advancement of the existing knowledge on this topic. Based on the bibliometric and content analyses, some future research avenues have been proposed to provide clues for this task.

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