Identification of data mining research frontier based on conference papers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Huang ◽  
Hu Liu ◽  
Jing Pan
Keyword(s):  
Data Mining ◽  
Research Field ◽  
Intellectual Structure ◽  
Content Type ◽  
Term Frequency ◽  
Research Perspective ◽  
Four Dimensions ◽  
Burst Analysis ◽  
Conference Papers ◽  
Research Frontiers

Purpose Identifying the frontiers of a specific research field is one of the most basic tasks in bibliometrics and research published in leading conferences is crucial to the data mining research community, whereas few research studies have focused on it. The purpose of this study is to detect the intellectual structure of data mining based on conference papers. Design/methodology/approach This study takes the authoritative conference papers of the ranking 9 in the data mining field provided by Google Scholar Metrics as a sample. According to paper amount, this paper first detects the annual situation of the published documents and the distribution of the published conferences. Furthermore, from the research perspective of keywords, CiteSpace was used to dig into the conference papers to identify the frontiers of data mining, which focus on keywords term frequency, keywords betweenness centrality, keywords clustering and burst keywords. Findings Research showed that the research heat of data mining had experienced a linear upward trend during 2007 and 2016. The frontier identification based on the conference papers showed that there were five research hotspots in data mining, including clustering, classification, recommendation, social network analysis and community detection. The research contents embodied in the conference papers were also very rich. Originality/value This study detected the research frontier from leading data mining conference papers. Based on the keyword co-occurrence network, from four dimensions of keyword term frequency, betweeness centrality, clustering analysis and burst analysis, this paper identified and analyzed the research frontiers of data mining discipline from 2007 to 2016.

Knowledge management within a strategic alliances context: past, present and future

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nisha Bamel ◽  
Vijay Pereira ◽  
Umesh Bamel ◽  
Giuseppe Cappiello
Keyword(s):  
Knowledge Management ◽  
Strategic Alliances ◽  
Design Methodology ◽  
Strategic Alliance ◽  
Average Rate ◽  
Research Field ◽  
Intellectual Structure ◽  
Content Type ◽  
Current State ◽  
Literature Reviews

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.

Citation classics published in Knowledge Management journals. Part II: studying research trends and discovering the Google Scholar Effect

2015 ◽  
Vol 19 (6) ◽  
pp. 1335-1355 ◽  
Author(s):  
Alexander Serenko ◽  
John Dumay
Keyword(s):  
Knowledge Management ◽  
Research Field ◽  
Research Trends ◽  
Google Scholar ◽  
Content Type ◽  
Publish Or Perish ◽  
Research Perspective ◽  
Unexpected Findings ◽  
The Impact ◽  
Citation Classics

Purpose – The purpose of this study was to discover growing, stable and declining knowledge management (KM) research trends. Design/methodology/approach – Citations to 100 KM citation classics as identified by Serenko and Dumay (2015) were collected and analyzed for growing, stable and declining research trends. Findings – This research has two findings that were not theoretically expected. First, a majority of KM citation classics exhibit a bimodal citation distribution peak. Second, there are a growing number of citations for all research topics. These unexpected findings warranted further theoretical elaboration and empirical investigation. The analysis of erroneous citations and a five-year citation trend (2009 – 2013) reveals that the continuously growing volume of citations may result from what the authors call the Google Scholar Effect. Research limitations/implications – The results from this study open up two significant research opportunities. First, more research is needed to understand the impact Google Scholar is having on domains beyond KM. Second, more comprehensive research on the impact of erroneous citations is required because these have the most potential for damaging academic discourse and reputation. Practical implications – Researchers need to be aware of how technology is changing their profession and their citation behavior because of the pressure from the contemporary “publish or perish” environment, which prevents research from being state-of-the-art. Similarly, KM reviewers and editors need to be more aware of the pressure and prevalence of mis-citations and take action to raise awareness and to prevent mis-citations. Originality/value – This study is important from a scientometric research perspective as part of a growing research field using Google Scholar to measure the impact and power it has in influencing what gets cited and by whom.

Customer experience research: intellectual structure and future research opportunities

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.

Toward understanding the topical structure of hospitality literature

2018 ◽  
Vol 30 (11) ◽  
pp. 3386-3411 ◽  
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.

Investigating current paradigms in supply chain risk management – a bibliometric study

2016 ◽  
Vol 22 (4) ◽  
pp. 662-692 ◽  
Author(s):  
Irene Kilubi
Keyword(s):  
Cluster Analysis ◽  
Risk Management ◽  
Supply Chain ◽  
Research Area ◽  
Research Field ◽  
Intellectual Structure ◽  
Bibliometric Study ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type

Purpose – The purpose of this paper is to analyse the intellectual structure and research fronts of discipline of supply chain risk management (SCRM), in order to identify the knowledge groups in the research area to date, as well as to reveal any relationships between these subfields and the central influential trends. Design/methodology/approach – By means of a bibliometric study, the 32 most co-cited articles on SCRM published in 16 top business-related academic journals are analysed using multivariate statistical techniques, i.e. multi-dimensional scaling, cluster analysis and correspondence factor analysis. Findings – The results demonstrate a clearly identifiable structure as a result of the performed co-citation analysis. The conducted cluster analysis and factor bring forward that the research field is arranged in five different areas of interest: explaining supply chain (SC) risk phenomena, concepts, frameworks and insights of SCRM; modelling risks for SCs; inventory risks affecting supply efficiency; SC and product design methods; and SC risk mitigating strategies. Originality/value – Overall, the intellectual structure of SCRM is first examined through a bibliometric approach using quantitative techniques – for improved understanding of its origins, and to identify the state of the science – and to offer suggestions for future studies that could cover current gaps. This study represents the potential to advance the SCRM literature landscape.

Towards a framework for the global wine tourism system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vasco Santos ◽  
Paulo Ramos ◽  
Bruno Sousa ◽  
Marco Valeri
Keyword(s):  
Value Chain ◽  
Methodological Approach ◽  
Research Field ◽  
Global Perspective ◽  
Systematic Mapping Study ◽  
Innovation Ecosystem ◽  
Content Type ◽  
Four Dimensions ◽  
Wine Tourism ◽  
Visitation Frequency

PurposeWine tourism has stood out as a very recognized and valid tourism and marketing segment, growing worldwide and urging the complex needed advances on wine tourism practices performance. This paper aims to develop a new framework strictly applied to the global wine tourism system, taking into account emerging and future constructs and dimensions that precede and consequence it.Design/methodology/approachThe systematic mapping study (SMS) was adopted as the selected research methodological approach, both to analyze and to structure a broad research field concerning methods, designs and research, focuses on the papers published in reliable academic databases such as Emerald, ProQuest, Sage, Science Direct, Scopus, Wiley, Web of Science, Taylor and Francis and Wiley were properly selected and analyzed.FindingsThe following four dimensions were found to comprise the global framework of the wine tourism system: (1) support features (governance, public policies and economic investment; supply development; physical and capacity conditions; requirements of health safety; opinion makers and leaders: managers/stakeholders/players/marketers and benchmarking and value chain); (2) innovation ecosystem (profile of the new generations of wine tourists; virtual and augmented reality: digital and hybrid wine events; smart wine tourism companies; digital channels and platforms: blogs, websites, applications; wine tourism creative activities for all [from kids to seniors] and sustainable and ecologic wine tourism practices); (3) wine tourism experience dimensions (storytelling; involvement; winescape; attachment; emotions and sensory) and (4) behavioural intentions (satisfaction; loyalty; and WoM).Research limitations/implicationsThe framework still needs to be empirically applied in wine tourism settings to enrich tourists’ robustness in cross-cultural wine tourism experiences, covering a wider spread of abroad wine tourism destinations and products.Practical implicationsThis framework is a useful tool and becomes vital to their continued success, as a key reference of wine tourism management and marketing. As a wine tourist's visitation frequency plays a role in his/her travel motives, product and service quality of tour packages must be improved and monitored.Originality/valueThis is the first research study to demonstrate the combined use of the main domains forming the wine tourism system within a global perspective, covering of the most critical aspects.

A prospective retrospective: conceptual mapping of the intellectual structure and research trends of knowledge management over the last 25 years

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elias G. Carayannis ◽  
João J.M. Ferreira ◽  
Cristina Fernandes
Keyword(s):  
Knowledge Management ◽  
Citation Index ◽  
Research Field ◽  
Research Trends ◽  
Intellectual Structure ◽  
Future Research ◽  
Scientific Publications ◽  
Content Type ◽  
Academic Field ◽  
Arts And Humanities

Purpose Knowledge and its management and, more recently, strategic knowledge management (SKM) represent major challenges for the organisations of the 21st century. Despite the importance of this knowledge field, and the significant quantity of research that has focussed on this theme, there is a dearth of studies in the literature undertaking a systematic SKM review. This study aims to provide a currently complete and systematic SKM review to stimulate and contribute to furthering this academic field and correspondingly set out an agenda for future research. Design/methodology/approach This paper sourced the data from the science citation index expanded (SCI-expanded), the social sciences citation index (SSCI) and the arts and humanities citation index (A&H CI) databases. This research spanned references published in journals belonging to the categories of management, business and economics without any chronological filter. The search returned a total of 99 references with their dates of publication between 1995 (1 reference) and 2018 (7 references). Findings The results included the identification of three core approaches to this study field: SKM models and competitive advantage, SKM implementation and the Systematic SKM approach. Practical implications This current study seeks to undertake the mapping of the scientific publications, the intellectual structure and research trends in the SKM field to: identify the fundamental contributions to the SKM research field; determine the research pathways establishing its intellectual structure and the scientific journals with the greatest impact on the field and identify the SKM research field geographical distribution and its collaborative structure. Originality/value This study defines a roadmap for an informed research agenda that proposes multiple directions: the usage and development of an innovative theory that may open new paths for future research and theoretical construction; a more sophisticated understanding of the concept and its applicability; approaching the shortcomings interrelated with the content across different levels of analysis; and the application of relevant and appropriate methodologies for operationalizing SKM.

Uncovering the structures and maturity of the new service development research field through a bibliometric study (1984-2014)

2017 ◽  
Vol 28 (1) ◽  
pp. 182-223 ◽  
Author(s):  
Glauco H.S. Mendes ◽  
Maicon Gouvea Oliveira ◽  
Eduardo H. Gomide ◽  
José Flávio Diniz Nantes
Keyword(s):  
New Product Development ◽  
New Product ◽  
Research Field ◽  
Scientific Production ◽  
Intellectual Structure ◽  
Service Development ◽  
New Service Development ◽  
Content Type ◽  
The Social ◽  
Great Progress

Purpose The purpose of this paper is to develop a deeper understanding of the new service development (NSD) research field. It addresses its scientific production, social and intellectual structures, and maturity. Design/methodology/approach This study uses a bibliometric-based literature review. Quantitative and qualitative analyses are performed on a sample of 277 NSD articles (published from 1984 to 2014). These articles are organized into four periods to improve the analyses from an evolutionary perspective: Early Writings (1984-1995), Advancing of Literature (1996-2001), Progressive Literature (2002-2008), and Recent Works (2009-2014). Findings The scientific production in the NSD field has grown significantly over these four periods, and the entry of new authors has extended the social structure. However, collaboration networks seem disconnected from one another. Nonetheless, the intellectual structure has shown great progress, making NSD an independent area of research and discovery from the new product development domain, with its own foundations and expansions into new topics. Although the NSD research field has not yet reached maturity, it is consistently moving toward it. Originality/value This study delivers a multiperspective view of research on NSD using a mixed quantitative and qualitative approach. It provides new insights into the discussion of the field’s maturity and can be used as a roadmap for academics and practitioners who would like to understand the state of existing knowledge and are looking for research opportunities.

Institutional repository research 2005-2015: a trend analysis using bibliometrics and text mining

2017 ◽  
Vol 33 (3) ◽  
pp. 264-278 ◽  
Author(s):  
Sujira Ammarukleart ◽  
Jeonghyun Kim
Keyword(s):  
Text Mining ◽  
Information Science ◽  
Open Data ◽  
Research Field ◽  
Intellectual Structure ◽  
Growth Trend ◽  
Comprehensive Overview ◽  
Content Type ◽  
Research Themes ◽  
Keywords And Phrases

Purpose This paper aims to investigate the longitudinal trends of research in the area of institutional repositories (IR) using bibliometric and text-mining methods. Design/methodology/approach The Library and Information Science Abstracts and the Web of Science citation databases were used as data sources. A total of 603 articles published in 109 peer-reviewed journals from 2005 to 2015 were collected and analyzed. The articles were analyzed in terms of publication trends, authorship patterns and keywords and phrases appearing in the article titles and abstracts. Findings The study shows that there has been a notable growth trend in research outputs, along with more participation and collaboration among institutes and countries. The study also found significant variability in the topics covered in the literature. In a comparison of the first period of 2005-2010 and the second period of 2011-2015, new research themes and foci, including research data, data management, linked open data, students and student research and an international audience, are observed in the later period. Originality/value This paper provides a comprehensive overview of publication, authorship and research themes in the IR research field. It describes the evolution of the intellectual structure of IR as a research field.

scholarly journals Bibliometric Knowledge Mapping of E-Commerce Platform Operation on Data Mining

2020 ◽  
Author(s):  
Min Ye ◽  
Hongxia Li
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Quantitative Research ◽  
Common Knowledge ◽  
Development Trend ◽  
Research Field ◽  
Knowledge Mapping ◽  
Structure Relationship ◽  
Major Factors ◽  
Research Frontiers

The e-commerce platform in the digital economy era has evolved into a data platform ecosystem built around data resources and data mining technology systems. The most typical applications of big data are also concentrated in the field of e-commerce. E-commerce companies should first grasp the interactive relationship among the three major factors of data, technology and innovation, e-commerce platform operation is a multidisciplinary research field. It is not easy for researchers to obtain a panoramic view of the knowledge structure in this field. Knowledge graph is a kind of graph that shows the development process and structure relationship of knowledge with the field of knowledge as the object. It is not only a visual knowledge mapping, but also a serialized knowledge pedigree, which provides researchers with a quantitative research method for the development trend of statistics and academic status. The purpose of this research is to help researchers understand the key knowledge, evolutionary trends and research frontiers of current research. This study uses Citespace bibliometric analysis to analyze the data of the Science Net database and finds that: 1) The development of the research field has gone through three stages, and some representative key scholars and key documents have been recognized; 2) the common knowledge mapping of literature The co-occurrence of citations and keywords shows research hotspots; 3) The results of burst detection and central node analysis reveal research frontiers and development trends. Today, the visualization of big data brings different challenges. The abstraction between the world and today's data visualization occurs when the data is captured. Every user sees his own visualization data generated by standardized calculations. At the same time, there are still many controversies in the theoretical model, structure and structural dimensions. This is the direction that future researchers need to further study.

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