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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.

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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…

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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-5891

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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…

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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0885-8624

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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.

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1360

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

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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…

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

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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…

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1154

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

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Article
Publication date: 21 May 2021

Francisco Muñoz-Leiva, María Eugenia Rodríguez López, Francisco Liebana-Cabanillas and Sérgio Moro

This study aims to discern emerging trends and provide a longitudinal perspective on merchandising research by identifying relationships between merchandising-related…

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330

Abstract

Purpose

This study aims to discern emerging trends and provide a longitudinal perspective on merchandising research by identifying relationships between merchandising-related subdomains/themes.

Design/methodology/approach

This study sourced 657 merchandising-related articles published since 1960, from the Scopus database and 425 from Web of Science. After processing and normalizing the data, this study performed co-word and thematic network analyses. Taking a text mining approach, this study used topic modeling to identify a set of coherent topics characterized by the keywords of the articles.

Findings

This study identified the following merchandising-related themes: branding, retail, consumer, behavior, modeling, textile and clothing industry and visual merchandising. Although visual merchandising was the first type of merchandising to be used in-store, only recently has it become an emerging topic in the academic literature. There has been a further trend over the past decade to understand the adoption of simulation technology, such as computer-aided design, particularly in supply chain management in the clothing industry. These and other findings contribute to the discussion of the merchandising concept, approached from an evolutionary perspective.

Research limitations/implications

The conclusions of this study hold implications at the intersection of merchandising, sectors, new technologies, research methodologies and merchandising-practitioner education. Research trends suggest that, in the future, virtual reality and augmented reality using neuroscientific methods will be applied to the e-merchandising context.

Practical implications

The different dimensions of merchandising can be used to leverage store managers’ decision-making process toward an integrated store-management strategy. In particular, by adopting loyalty merchandising tactics, the store can generate emotional attachment among consumers, who will perceive its value and services as unique, thanks to merchandising items designed specifically with that aim in mind. The stimulation of unplanned purchases, the strategic location of products and duration of each merchandising activity in the store, the digitalization of merchandising and the application of findings from neuroscience studies are some of the most relevant practical applications.

Originality/value

This study provides the first-ever longitudinal review of the state of the art in merchandising research, taking a holistic perspective of this field of knowledge spanning a 60-year period. The work makes a valuable contribution to the development of the marketing discipline.

Details

European Journal of Marketing, vol. 55 no. 8
Type: Research Article
ISSN: 0309-0566

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Article
Publication date: 5 October 2010

Yu‐Min Su, Ping‐Yu Hsu and Ning‐Yao Pai

The co‐word analysis method is commonly used to cluster‐related keywords into the same keyword domain. In other words, traditional co‐word analysis cannot cluster the same…

Abstract

Purpose

The co‐word analysis method is commonly used to cluster‐related keywords into the same keyword domain. In other words, traditional co‐word analysis cannot cluster the same keywords into more than one keyword domain, and disregards the multi‐domain property of keywords. The purpose of this paper is to propose an innovative keyword co‐citation approach called “Complete Keyword Pair (CKP) method”, which groups complete keyword sets of reference papers into clusters, and thus finds keywords belonging to more than one keyword domain, namely bridge‐keywords.

Design/methodology/approach

The approach regards complete author keywords of a paper as a complete keyword set to compute the relations among keywords. Any two complete keyword sets whose corresponding papers are co‐referenced by the same paper are recorded as a CKP. A clustering method is performed with the correlation matrix computed from the frequency counts of the CKPs, for clustering the complete keyword sets. Since keywords may be involved in more than one complete keyword set, the same keywords may end up appearing in different clusters.

Findings

Results of this study show that the CKP method can discover bridge‐keywords with average precision of 80 per cent in the Journal of the Association for Computing Machinery citation bank during 2000‐2006 when compared against the benchmark of Association for Computing Machinery Computing Classification System.

Originality/value

Traditional co‐word analysis focuses on co‐occurrence of keywords, and therefore, cannot cluster the same keywords into more than one keyword domain. The CKP approach considers complete author keyword sets of reference papers to discover bridge‐keywords. Therefore, the keyword recommendation system based on CKP can recommend keywords across multiple keyword domains via the bridge‐keywords.

Details

The Electronic Library, vol. 28 no. 5
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 17 February 2021

Amanda de Paula Aguiar-Barbosa, Adriana Fumi Chim-Miki and Metin Kozak

The objective of this study was to analyze the evolution of tourism competitiveness over the years, ascertaining the state of the art and the degree of consensus among…

Abstract

Purpose

The objective of this study was to analyze the evolution of tourism competitiveness over the years, ascertaining the state of the art and the degree of consensus among scholars on its constituent elements to propose an integrative and updated concept.

Design/methodology/approach

A set of 130 definitions on tourism competitiveness formulated between 1999–2018 was analyzed and segmented into three periods, allowing its historical evolution to be ascertained. It is a qualitative and quantitative exploratory research that uses a combination of techniques, namely, content analysis, analysis of co-words and consensus analysis.

Findings

The results indicated a low use of elements such as the quality of life and the environment in the authors' definitions during 1999–2018, although these elements were present in the first concept of tourism competitiveness by Crouch and Ritchie (1999, 2003). Another finding of this study shows a reduction in the analysis of tourism competitiveness based on the supply and demand side. Nowadays, the research tends to turn on the basis of the population directly affected. It also reveals the enrichment of the theoretical corpus with new lines of research arising and new groups of scholars of the subject, consequently a new frontier in tourism competitiveness.

Research limitations/implications

The authors recommend deepening the analysis in each category of conceptual elements of tourism competitiveness to identify the origins of the low consensus. The authors also suggest conducting further research on the largest invisible schools of thought on this subject to understand their relations and perspectives, and thus to advance in the theoretical streams of the field. Finally, it is imperative to develop research on new models and monitors of tourism competitiveness that meet its renewed concept and integrate dimensions to consider the perspective of supply, demand, tourists and residents, as well as not excluding the economic bias but including the social side.

Practical implications

Owing to the fact that monitors of tourism competitiveness have practically no variables related to the social, most of the surveys are carried out from the supply or demand perspective, leaving the resident distant from the process. In this way, the results allow authors to indicate that new models of competitiveness measurement should be formulated based on the vision of the community impacted by tourism, i.e. a new version of tourism competitiveness not based on productivity but rather on the social aspect.

Originality/value

The findings of this study contribute to the field literature by offering an integrative concept of tourism competitiveness based on the elements with a higher level of consensus among researchers. Furthermore, the results accentuate a worrying fact regarding the operationalization of this concept, as the theoretical basis is not expressed in the monitors of competitiveness. Thus, nor it is possible in the management of the tourism industry.

Details

International Journal of Tourism Cities, vol. 7 no. 2
Type: Research Article
ISSN: 2056-5607

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Article
Publication date: 23 May 2018

Chien-wen Shen, Duong Tuan Nguyen and Po-Yu Hsu

The purpose of this paper is to bibliometrically analyze the gerontology-related research articles for a comprehensive understanding of the gerontology literature.

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1540

Abstract

Purpose

The purpose of this paper is to bibliometrically analyze the gerontology-related research articles for a comprehensive understanding of the gerontology literature.

Design/methodology/approach

This study employed the approach of visual analytics on 32 journals with a total of 99,204 articles published after 2000 to identify the main subfields, keywords, and growth trend. The investigated journals are either open access online or listed in the Social Sciences Citation Index. In addition, the 200 most frequently cited papers were analyzed through bibliographic coupling, co-word, and co-citation analysis.

Findings

The selected most cited papers were mostly published before 2007, and psychiatry and psychology were the top research subfields. Dementia, older adult, and Alzheimer’s disease were the three most frequently occurring keywords, both in Author Keywords and KeyWords Plus. While coupling analysis yielded 12 research groups, co-word analysis classified the most frequently used 20 Author Keywords into two categories. Four research clusters were identified by the co-citation analysis.

Originality/value

This research provides a comprehensive view of the gerontology research as well as an understanding of the subfields and their interrelations. It also provides government departments with directions for formulating and executing policies affecting older people not only in setting academic and professional priorities but also in understanding the key topics related to older people.

Details

Library Hi Tech, vol. 37 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

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