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1 – 10 of 847
Article
Publication date: 23 November 2012

Liwen Vaughan, Rongbin Yang and Juan Tang

The study seeks to apply Web co‐word analysis to the Chinese business environment to test the feasibility of the method there.

Abstract

Purpose

The study seeks to apply Web co‐word analysis to the Chinese business environment to test the feasibility of the method there.

Design/methodology/approach

The authors selected a group of companies in two Chinese industries, collected co‐word data for the companies, analyzed the data with multidimensional scaling (MDS), and then compared the MDS maps generated from the co‐word data with business situations to find out if the co‐word method works.

Findings

The study found that the Web co‐word method could potentially be applied to the Chinese environment. The study also found the advantages and disadvantages of the Web co‐word method vs the Web co‐link method.

Originality/value

Knowing the applicability of the Web co‐word method to the Chinese environment contributes to the knowledge of this new Webometrics method. Mining business information from the Web is more valuable when applied to a foreign country where language and culture barriers exist. To use the co‐word method, one does not have to be able to read or write in that language. One only needs to have the names of the companies to study, which can be easily obtained without knowledge of the language. The value of business information about countries such as China is obvious given the global nature of contemporary business competition and the significance of the Chinese economy to the world.

Article
Publication date: 20 July 2023

Elaheh Hosseini, Kimiya Taghizadeh Milani and Mohammad Shaker Sabetnasab

This research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021.

Abstract

Purpose

This research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021.

Design/methodology/approach

This applied research employed a descriptive and analytical method, scientometric indicators, co-word techniques, and social network analysis. VOSviewer, SPSS, Python programming, and UCINet software were used for data analysis and network structure visualization.

Findings

The top ranks of the Web of Science (WOS) subject categorization belonged to various fields of computer science. Besides, the USA was the most prolific country. The keyword ontology had the highest frequency of co-occurrence. Ontology and semantic were the most frequent co-word pairs. In terms of the network structure, nine major topic clusters were identified based on co-occurrence, and 29 thematic clusters were identified based on hierarchical clustering. Comparisons between the two clustering techniques indicated that three clusters, namely semantic bioinformatics, knowledge representation, and semantic tools were in common. The most mature and mainstream thematic clusters were natural language processing techniques to boost modeling and visualization, context-aware knowledge discovery, probabilistic latent semantic analysis (PLSA), semantic tools, latent semantic indexing, web ontology language (OWL) syntax, and ontology-based deep learning.

Originality/value

This study adopted various techniques such as co-word analysis, social network analysis network structure visualization, and hierarchical clustering to represent a suitable, visual, methodical, and comprehensive perspective into linked data.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 20 May 2021

Vivek Kumar and Arpita Srivastava

This paper aims to map the evolution of research in business ethics from 1991 to 2018. It aims to identify the major themes and how they have evolved. It also aims to identify…

1077

Abstract

Purpose

This paper aims to map the evolution of research in business ethics from 1991 to 2018. It aims to identify the major themes and how they have evolved. It also aims to identify gaps in the literature for recommending future research agenda.

Design/methodology/approach

This study uses co-word network analysis. Co-word network analysis is a bibliometric technique used to objectively identify research themes via article keywords. The study examines articles from 1991 to 2018, which is a span encompassing a greater number of articles than previous bibliometric studies in business ethics. This time span was split into four periods and major research themes were identified for each period to map the changes in research agendas in the business ethics discipline over time.

Findings

The findings point to increasing maturation of the discipline, a slight decline in ethical decision-making research, a rise in research at the intersection of leadership and ethics and exponential growth in studies on corporate social responsibility. Ethical issues in business-to-business contexts are understudied. Research in environmental disclosures and leadership is expected to grow in the future.

Originality/value

This is the first study in business ethics to use keywords for analyzing the evolution of a discipline. This study encompasses more articles than any other study in business ethics. Finally, this is the only study to use co-word network analysis to study business ethics literature.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 53 no. 3
Type: Research Article
ISSN: 2059-5891

Keywords

Article
Publication date: 1 February 2016

Mehri Sedighi

– The purpose of this article is to investigate the use of word co-occurrence analysis method in mapping of the scientific fields with emphasis on the field of Informetrics.

2022

Abstract

Purpose

The purpose of this article is to investigate the use of word co-occurrence analysis method in mapping of the scientific fields with emphasis on the field of Informetrics.

Design/methodology/approach

This is an applied study using scientometrics, co-word analysis and network analysis and its steps are summarised as follows: collecting the data related to the Informetrics field indexed in Web of Science (WOS) database, refining and standardising the keywords of the extracted articles from WOS and preparing a selected list of these keywords, drawing the word co-occurrence map in the Informetrics field and analysing of results.

Findings

Based on the resulted maps the concepts such as information science, library, bibliometric analysis, innovation and text mining are the most widely used topics in the field of Informetrics. The co-word occurrence maps drawn at different periods show the changes and stabilities in the concepts related to the field of Informetrics. A number of topics such as “bibliometric analysis” are present in all years, whereas others such as “innovation” have disappeared. New topics emerge as a recombination of existing topics and in interaction with new (technological) developments.

Originality/value

The results of these analytical studies can be used as a guide for determining research priorities in the scientific fields, and also for planning and management in academic institutions.

Details

Library Review, vol. 65 no. 1/2
Type: Research Article
ISSN: 0024-2535

Keywords

Article
Publication date: 25 October 2021

María‐José Pinillos, Eloísa Díaz-Garrido and María-Luz Martín-Peña

The purpose of this paper is to analyze the origins and evolution of the concept of servitization by studying the definitions of servitization provided in the literature…

652

Abstract

Purpose

The purpose of this paper is to analyze the origins and evolution of the concept of servitization by studying the definitions of servitization provided in the literature. Servitization represents an academic field that has grown rapidly since its inception. However, the conceptualization of servitization varies greatly, in part because of the number of studies on this topic and the fact that it has been analyzed in a range of disciplines using a number of theoretical approaches. There is a need to standardize the vocabulary to create a general definition that can support the development of theory in this domain and help legitimize servitization as a research area.

Design/methodology/approach

This study conducts a systematic, quantitative analysis of a broad set of definitions of servitization. Specifically, this study performs content analysis (combining co-word analysis and social network analysis) and consensus analysis. This study develops a strategic diagram to represent the morphology of the research network.

Findings

The definitions of servitization are deconstructed and analyzed in depth to create a comprehensive picture of the research on this topic. This analysis reveals the origins and evolution of this research area. The results show a low degree of consensus among scholars regarding the concept of servitization. This study proposes a definition that should be widely accepted thanks to its inclusion of the core terms from other definitions. Explicit recognition of multiple approaches to defining the term can help practitioners and researchers. Predictions about future progress in this area are discussed.

Originality/value

A universal definition of servitization is proposed based on the results of co-word and network analysis. This definition unifies a range of multidisciplinary viewpoints. From a practical perspective, the key vocabulary in servitization research is highlighted.

Details

Journal of Business & Industrial Marketing, vol. 37 no. 7
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 6 June 2016

Xuzhong Qin, Zongshui Wang, Hong Zhao and Lars Bo Kaspersen

This paper aims to help scholars know about the focus and frontier in the field of corporate social responsibility (CSR). Although related research in CSR started 60 years ago…

Abstract

Purpose

This paper aims to help scholars know about the focus and frontier in the field of corporate social responsibility (CSR). Although related research in CSR started 60 years ago, there is not much systematical literature review on CSR in recent years. This paper applies scientometric method, especially co-word analysis, to explore the frontier and focus of CSR in the twenty-first century, based on the articles from 2001 to 2014 in SSCI database.

Design/methodology/approach

In this paper, the authors first use the scientometric method and co-word analysis for keywords filtering and apply social network methodology to investigate the networks of high-frequency keywords and high-frequency authors.

Findings

The authors summarize the current state of CSR research in two aspects. By co-word analysis of high-frequency keywords, the findings show that the focus and frontier are highly related to CSR. Based on the findings of social network analysis, this paper concludes four important research directions and possible future research of CSR.

Originality/value

The findings in this paper will help scholars of CSR or other related fields to realize the focus and frontier of CSR and provide some guidance for their future research.

Details

Nankai Business Review International, vol. 7 no. 2
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 26 February 2020

Khaldoon Nusair

This paper aims to provide a comprehensive bibliometric analysis of the current state of social media literature by examining co-word network analysis and thematic keyword analysis

2451

Abstract

Purpose

This paper aims to provide a comprehensive bibliometric analysis of the current state of social media literature by examining co-word network analysis and thematic keyword analysis of both scholars and hospitality and tourism journals in three sub-periods (2002-2006, 2007-2012 and 2013-2018).

Design/methodology/approach

This research used a bibliometric analysis of social media literature in the field of hospitality and tourism by synthesizing the literature of a large sample of 601 studies over an extended time period (2002-2018).

Findings

The jump in the number of examined contexts, platforms, methodological approaches and research implications during 2007-2012 has marked the start of social media as a new phenomenon in hospitality and tourism research. Interestingly, International Journal of Contemporary Hospitality Management was a leading contributor to social media research between 2017 and 2018. The period 2013-2018 has witnessed newly emerging trends such as “big data,” “e-tourism,” “green experience” and “smart tourism.” This study’s analysis indicated that few keywords in social media appeared in the maturity stage. New platforms such as “Expedia,” “Foursquare,” “Flickr,” “Pinterest,” “Couchsurfing” and “Twitter” appeared between 2013 and 2018.

Originality/value

The scope of past research on the evolution of social media was limited to either a few of the most popular cited journals and/or analysis within a narrow time span. In contrast, the present study aims to uncover the rapid progress in social media research between 2002 and 2018, addressing growth in breadth and depth of thematic areas. Finally, this paper concluded with the proposal of knowledge-based life cycle framework that identifies key themes related to social media research. This framework provided insights into what has been addressed in previous literature (maturity and decline stages) and reported the topics that have been under-researched (introduction and growth stages).

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 3
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 12 April 2022

Mahdiyeh Khazaneha, Oranus Tajedini, Omid Esmaeili, Mehdi Abdi, Ali Akbar Khasseh and Ali Sadatmoosavi

Using science mapping analysis approach and co-word analysis, the present study explores and visualizes research fields and thematic evolution of the coronavirus. Based on this…

2817

Abstract

Purpose

Using science mapping analysis approach and co-word analysis, the present study explores and visualizes research fields and thematic evolution of the coronavirus. Based on this method, one can get a picture of the real content of the themes in the mentioned thematic area and identify the main minor and emerging themes.

Design/methodology/approach

This study was conducted based on co-word science mapping analysis under a longitudinal study (from 1988 to 2020). The collection of documents in this study was further divided into three subperiods: 1988–1998, 1999–2009 and 2010–2020. In order to perform science mapping analysis based on co-word bibliographic networks, SciMAT was utilized as a bibliometric tool. Moreover, WoS, PubMed and Scopus bibliographic databases were used to download all records.

Findings

In this study, strategic diagrams were demonstrated for the coronavirus research for a chronological period to assess the most relevant themes. Each diagram depended on the sum of documents linked to each research topic. In the first period (1988–1998), the most centralizations were on virology and evaluation of coronavirus structure and its structural and nonstructural proteins. In the second period (1999–2009), with due attention to high population density in eastern Asia and the increasing number of people affected with the new generation of coronavirus (named severe acute respiratory syndrome virus or SARS virus), publications have been concentrated on “antiviral activity.” In the third period (2010–2020), there was a tendency to investigate clinical syndromes, and most of the publications and citations were about hot topics like “severe acute respiratory syndrome,” “coronavirus” and “respiratory tract disease.” Scientometric analysis of the field of coronavirus can be regarded as a roadmap for future research and policymaking in this important area.

Originality/value

The originality of this research can be considered in two ways. First, the strategic diagrams of coronavirus are drawn in four thematic areas including motor cluster, basic and transversal cluster, highly developed cluster and emerging and declining cluster. Second, COVID-19 is mentioned as a hot topic of research.

Details

Library Hi Tech, vol. 41 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 13 March 2024

Joao J. Ferreira, Ana Joana Candeias Fernandes and Stephan Gerschewski

This paper reviews the literature on the business models of small and medium-sized enterprises (SMEs). It seeks to examine the profile, conceptual and intellectual structure of…

Abstract

Purpose

This paper reviews the literature on the business models of small and medium-sized enterprises (SMEs). It seeks to examine the profile, conceptual and intellectual structure of the literature whilst leveraging the findings to suggest promising future paths to advance our knowledge on business models of SMEs.

Design/methodology/approach

The study resorts to a systematic literature review that conducts descriptive, bibliometric (i.e. co-word occurrence analysis and bibliographic coupling of documents analysis) and content analyses to review the literature on business models of SMEs. The research protocol included 301 articles collected in the Web of Science (WoS) database in the descriptive and bibliometric analyses. The bibliometric analysis was performed using the VOSviewer software.

Findings

The descriptive analysis portrayed the profile of this research stream. The systematisation of the co-word occurrence analysis describes the four clusters that comprise the conceptual structure of this research field. The content analysis of the bibliographic coupling of documents’ clusters portrays the seven clusters that involve the intellectual structure of this research area.

Originality/value

The integrated and holistic approach adopted in this study provides a detailed overview of the literature on business models of SMEs. We propose an integrative framework for the literature that bridges the main themes that form the conceptual and intellectual structure of this field of research. A comprehensive agenda for future research is suggested and implications for theory, policy and practice are stated.

Details

Journal of Small Business and Enterprise Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1462-6004

Keywords

Article
Publication date: 4 May 2022

Pembe Ülker, Mustafa Ülker and Kurtuluş Karamustafa

This study aims to contribute to the relevant body of knowledge by examining the bibliometric studies related to tourism and hospitality indexed in the Web of Science (WoS…

1654

Abstract

Purpose

This study aims to contribute to the relevant body of knowledge by examining the bibliometric studies related to tourism and hospitality indexed in the Web of Science (WoS) database from a bibliometric perspective (evaluative and relational techniques).

Design/methodology/approach

The WoS database was used to obtain studies to be reviewed. A total of 136 studies were analyzed and visualized in terms of evaluative and relational techniques, and a subject categorization was made.

Findings

“Tourism management” and “tourism and hospitality” are the two fields of research where bibliometric studies are carried out more frequently. Evaluative techniques were used in most studies while relational techniques, such as co-word, co-author, co-citation analysis and bibliographic coupling, were performed less. Relational techniques indicate that the words “bibliometric analysis” and “tourism” are frequently used together in the studies examined; the most common authorship cooperation is between China and USA.

Research limitations/implications

This study provides an overview of bibliometric studies in tourism and hospitality literature. It expands the previous literature and shows study topics that are more focused by examining the abstracts and contents of articles published in journals in different WoS categories.

Practical implications

Findings related to evaluative and relational techniques can serve as useful information for researchers, who are new to the field.

Originality/value

This study contributes to the current knowledge accumulation by its lack of year, country, region and language limits.

Details

Journal of Hospitality and Tourism Insights, vol. 6 no. 2
Type: Research Article
ISSN: 2514-9792

Keywords

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