Bibliometrische Netzwerke

Havemann, Frank; Scharnhorst, Andrea

doi:10.1007/978-3-531-92575-2_70

Cited by 10 publications

(8 citation statements)

References 51 publications

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“…The second method uses citation analysis to establish (e.g., co-citation) relationships among publications, authors, journals, etc. The relationships are represented on two-dimensional maps (networks), which are then studied by using network analysis (Havemann and Scharnhorst, 2012). In these bibliographic networks, node-related differences (e.g., differing node sizes) offer insight into a scientific field's composition (Van Eck and Waltman, 2014).…”

Section: Methodsmentioning

confidence: 99%

“…However, despite their benefits, co-citation networks also have limitations. For example, the articles in a cluster may extend beyond a single theme (e.g., as papers address multiple questions simultaneously; Havemann and Scharnhorst, 2012).…”

Section: Methodsmentioning

confidence: 99%

“…co-citation) relationships among publications, authors, journals, etc. The relationships are represented on twodimensional maps (networks), which are then studied by using network analysis (Havemann and Scharnhorst, 2012). In these bibliographic networks, node-related differences (e.g.…”

Section: Methodsmentioning

confidence: 99%

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Fifteen years of customer engagement research: a bibliometric and network analysis

Hollebeek

Sharma

Pandey

et al. 2021

JPBM

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Purpose In recent years, customer engagement (CE) with brands, which has been shown to yield enhanced firm sales, competitive advantage and stock returns, has risen to occupy a prominent position in brand management research and practice. Correspondingly, scholars have explored CE’s conceptualization, operationalization and its nomological networks as informed by different theoretical perspectives. However, in spite of important advances, the knowledge structure of the overall corpus of CE research remains tenuous. Therefore, the purpose of this paper is to explore the intellectual structure of CE research. Design/methodology/approach Based on this gap, this study deploys bibliometric and network analysis to map CE’s literature-based landscape. Using bibliometric analysis, important CE-publishing journals, authors and influential CE articles (2005–2020) are uncovered. Using network analysis, prominent CE themes are also unearthed. Findings The results document key CE-publishing journals and authors and their respective contributions to the literature. Five CE themes are also identified, including CE measurement/methods, online CE, CE’s value co-creating capacity, CE conceptualization and customer/consumer brand engagement. Further, an agenda for future CE research is provided based on the presented network analysis results. Practical implications The reported findings generate important implications for brand managers. For example, the identified critical role of online (vs offline) CE offers a range of strategic opportunities, as outlined. Originality/value This paper offers a pioneering bibliometric and network analysis of the CE literature, thus mapping the field. From the identified CE themes, important avenues for further CE research are also identified.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Fifteen years of customer engagement research: a bibliometric and network analysis

Hollebeek

Sharma

Pandey

et al. 2021

JPBM

View full text Add to dashboard Cite

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“…Bibliometric network analysis refers to a computer-assisted scientific review methodology that provides quantitative and statistical analysis by summarizing a large number of research publications through various descriptors and indicators [ 17 ]. Havemann and Scharnhorst [ 18 ] organized the approaches of bibliometric networks into the following categories: (1) citation networks of articles and journals; (2) bibliographic coupling networks; (3) cocitation networks of articles, authors, and journals; (4) co-authorship networks; and (5) word co-occurrence networks (ie, coword analysis). Among them, coword analysis has been considered an effective approach for understanding key topics in a certain research area, calculating the association strength of representative terms, and illustrating the field's knowledge structure by revealing patterns and trends among those topics [ 19 , 20 ].…”

Section: Methodsmentioning

confidence: 99%

Determining the Intellectual Structure and Academic Trends of Smart Home Health Care Research: Coword and Topic Analyses

Kang¹,

Han²,

Kwon³

2021

J Med Internet Res

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Background With the rapid development of information and communication technologies, smart homes are being investigated as effective solutions for home health care. The increasing academic attention on smart home health care has primarily been on the development and application of smart home technologies. However, comprehensive studies examining the general landscape of diverse research areas for smart home health care are still lacking. Objective This study aims to determine the intellectual structure of smart home health care in a time series by conducting a coword analysis and topic analysis. Specifically, it investigates (1) the intellectual basis of smart home health care through overall academic status, (2) the intellectual foci through influential keywords and their evolutions, and (3) intellectual trends through primary topics and their evolutions. Methods Analyses were conducted in 5 steps: (1) data retrieval from article databases (Web of Science, Scopus, and PubMed) and the initial dataset preparation of 6080 abstracts from the year 2000 to the first half of 2019; (2) data preprocessing and refinement extraction of 25,563 words; (3) a descriptive analysis of the overall academic status and period division (ie, 4 stages of 3-year blocks); (4) coword analysis based on word co-occurrence networks for the intellectual foci; and (5) topic analysis for the intellectual trends based on latent Dirichlet allocation (LDA) topic modeling, word-topic networks, and researcher workshops. Results First, regarding the intellectual basis of smart home health care, recent academic interest and predominant journals and research domains were verified. Second, to determine the intellectual foci, primary keywords were identified and classified according to the degree of their centrality values. Third, 5 themes pertaining to the topic evolution emerged: (1) the diversification of smart home health care research topics; (2) the shift from technology-oriented research to technological convergence research; (3) the expansion of application areas and system functionality of smart home health care; (4) the increased focus on system usability, such as service design and experiences; and (5) the recent adaptation of the latest technologies in health care. Based on these findings, the pattern of technology diffusion in smart home health care research was determined as the adaptation of technologies, the proliferation of application areas, and an extension into system design and service experiences. Conclusions The research findings provide academic and practical value in 3 aspects. First, they promote a comprehensive understanding of the smart home health care domain by identifying its multifaceted intellectual structure in a time series. Second, they can help clinicians discern the development and dispersion level of their respective disciplines. Third, the pattern of technology diffusion in smart home health care could help scholars comprehend current and future research trends and identify research opportunities based on upcoming research waves of newly adapted technologies in smart home health care.

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“…how often term j appears in document i (e.g. Coulter et al 1998;Havemann and Scharnhorst 2010). For network visualization, clusters are created in five steps: 1) Calculation of the Equivalence Index: For every pair of terms i and j, a value e ij describing the intensity of their connection is determined, which indicates the frequency of co-occurrence.…”

Section: Methodsmentioning

confidence: 99%

Confronting the anomaly: directions in (German) economic research after the crisis

Jacob¹,

Brust

2019

Sci Context

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ArgumentRecurring economic crises, like the one of 2007-2008, led to criticism of economic research and a demand to develop new strategies to avoid them. Standard economic theories use conventional approaches to deal with economic challenges, heterodox theories try to develop alternatives with which to face them. It remains unclear whether the 2007-2008 crisis led to a change in economic research as well as to a consideration of alternative approaches. We used co-word analysis to map the structure of economic research in Germany between 2005 and 2014. Core topics within economic research, such as “market” or “production” hardly shift and can be linked to standard economic theories. Peripheral topics such as “inequality” or “unemployment” show greater dynamics. However, only a few of these topics can be linked to heterodox approaches. Certain changes have occurred in reaction to the 2007-2008 crisis. However, the unchanged importance of standard economic topics raises the question whether these changes are sufficient to face coming economic challenges.

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Bibliometrische Netzwerke

Cited by 10 publications

References 51 publications

Fifteen years of customer engagement research: a bibliometric and network analysis

Fifteen years of customer engagement research: a bibliometric and network analysis

Determining the Intellectual Structure and Academic Trends of Smart Home Health Care Research: Coword and Topic Analyses

Confronting the anomaly: directions in (German) economic research after the crisis

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