Research trends in tourism and hospitality from 1991 to 2020: an integrated approach of corpus linguistics and bibliometrics

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gui Wang ◽  
Hui Wang ◽  
Li Wang
Keyword(s):  
Bibliometric Analysis ◽  
Language Processing ◽  
Corpus Linguistics ◽  
Interdisciplinary Approach ◽  
Integrated Approach ◽  
Research Trends ◽  
Research Topics ◽  
Content Type ◽  
Tourism And Hospitality ◽  
Emerging Topics

PurposeThis study aims to track the historical development in tourism and hospitality research over the past 30 years by applying a novel interdisciplinary approach, combining both corpus linguistics and bibliometric analysis.Design/methodology/approachMost frequently discussed topics and newly emerging topics were identified by investigating 18,266 abstracts from 18 leading tourism and hospitality journals with corpus linguistics toolkit AntConc and natural language processing (NLP) tool spaCy. Trend analysis and bibliometric methods were used to determine the longitudinal changes of research topics, most highly-cited publications and authors' production.FindingsThis study revealed the evolution patterns of the identified 576 most frequently discussed topics across the four subperiods (1991–2000, 2001–2010, 2011–2015 and 2016–2020). Specifically, results showed that information technology-related topics account for the largest proportion of the identified 38 newly emerging topics from 2011. Besides, researchers are increasingly focusing on the use of more sophisticated and advanced statistical methodologies.Practical implicationsThis study helps researchers make sensible decisions on what research topics to explore; it also helps practitioners and stakeholders make the shift and track opportunities in the field.Originality/valueNo other studies have employed the novel interdisciplinary approach, combining corpus linguistic tools in linguistics, NLP techniques in computer science and bibliometric analysis in library and information science, for exploring research trends in tourism and hospitality.

A comprehensive analysis of the 21st century's research trends in English Mobile Learning: a bibliographic review of the literature

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rouhollah Khodabandelou ◽  
Masood Fathi ◽  
Mohammad Amerian ◽  
Mohammad Reza Fakhraie
Keyword(s):  
Bibliometric Analysis ◽  
Mobile Learning ◽  
Research Trends ◽  
Current Status ◽  
Future Research ◽  
Review Of Literature ◽  
Content Type ◽  
The Past ◽  
Learning Research ◽  
Points Of View

PurposeThis study examines the importance of English Mobile Learning research as a foundation for lifelong and sustainable education from different points of view, including those of technology innovation experts, psychologists and educators. It aims to explore the current status and relevant research trends through the application of bibliometric mapping and bibliometric analysis.Design/methodology/approachFor this study, all Web of Science records (in total 5,343) from 2000 to 2020 in the field of English Mobile Learning were analyzed using the VOSviewer and CiteSpace software tools. The WoS built-in functions, including “Refine” and “Analyze,” were employed to perform the bibliometric analysis. The study further analyzed a sample of the five most-cited articles to identify the previous studies with the highest quality or impact.FindingsThe results showed that research in English Mobile Learning is growing quickly and steadily with a noticeable emphasis on various device-based technologies and applications. The study also discusses the key implications for research institutions, education policymakers and academicians, and identifies the most prominent avenues for future research on English Mobile Learning. Moreover, the results shared in this review highlight the most important and emerging areas of research in the field.Originality/valueThis article is the most recent bibliographic review of literature that particularly addresses the English Mobile Learning research during the past two decades.

scholarly journals ANALYSIS OF RESEARCH TRENDS IN THE FIELD OF MECHANICAL ENGINEERING

2019 ◽  
Vol 2 ◽  
pp. 74
Author(s):  
Adrian Knapczyk ◽  
Sławomir Francik
Keyword(s):  
Bibliometric Analysis ◽  
Mechanical Engineering ◽  
Scientific Activity ◽  
Research Trends ◽  
Applied Mechanics ◽  
Research Topics ◽  
Main Research ◽  
Material Engineering ◽  
Scopus Database

The work includes a bibliometric analysis of the main topics and research trends within the discipline of Mechanical Engineering. On the basis of analysis of data from the Scopus database, the Applied Mechanics Reviews magazine was chosen, which is the only one conducting scientific activity exclusively in the field of Mechanical Engineering. In the years of analysis (2002-2017), it was pointed out that the main research topics are optimization issues, material engineering and mechanics.

Reconfigurable manufacturing system: a systematic bibliometric analysis and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Pansare ◽  
Gunjan Yadav ◽  
Madhukar R. Nagare
Keyword(s):  
Bibliometric Analysis ◽  
Manufacturing System ◽  
Research Trends ◽  
Current Status ◽  
Future Research ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Content Type ◽  
Future Research Agenda ◽  
System A

PurposeThe purpose of this paper is to conduct a systematic bibliometric analysis of reconfigurable manufacturing system (RMS) articles using VOSviewer to identify their research themes and future research trends and investigate their interconnectivity. This paper also aims to identify prominent authors, publishers, organizations, countries and their collaborations in the RMS domain.Design/methodology/approachIn this study, the Scopus database is used to retrieve 454 RMS articles published between 1988 and 2020. These articles are then investigated using VOSviewer to determine their interconnectedness, clusters and citations, as well as to generate a map based on text data. The network visualization diagrams and clusters obtained for documents, authors, sources, organizations and countries are explored to determine the current state and future trends in RMS research.FindingsA bibliometric analysis of selected articles is performed, and current research hotspots in this domain are identified. This work also investigates the current status and future research trends in this domain. The work presented also identifies top researchers, journals, countries and documents in RMS.Practical implicationsThis paper can provide academics, researchers and practitioners with additional research insights. At the same time, the research trends identified here can help to direct research and benefit researchers.Originality/valueThe study is the first attempt to review selected documents in the RMS domain using bibliometric analysis tools, and it presents a method for collecting articles, organizing them and analyzing the data.

Research trends analysis using text mining in construction management: 2000–2020

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eymen Çağatay Bilge ◽  
Hakan Yaman
Keyword(s):  
Text Mining ◽  
Information Management ◽  
Bibliometric Analysis ◽  
Construction Management ◽  
Detection Method ◽  
Research Trends ◽  
Information Modeling ◽  
Topic Detection ◽  
Content Type ◽  
Building Information

PurposeThis study aims to identify the trends that have changed in the field of construction management over the last 20 years.Design/methodology/approachIn this study, 3,335 journal articles published in the years 2000–2020 were collected from the Web of Science database in construction management. The authors applied bibliometric analysis first and then detected topics with the latent Dirichlet allocation (LDA) topic detection method.FindingsIn this context, 20 clusters from cluster analysis were found and the topics were extracted in clusters with the LDA topic detection method. The results show “building information modeling” and “information management” are the most studied subjects, even though they have emerged in the last 15 years “building information modeling,” “information management,” “scheduling and cost optimization,” “lean construction,” “agile approach” and “megaprojects” are the trend topics in the construction management literature.Research limitations/implicationsThis study uses bibliometric analysis. The authors accept that the co-citation and co-authorship relationship in the data is ethical. They accept that honorary authorship, self-citation or honorary citation do not change the pattern of the construction management research domain.Originality/valueThere has been no study conducted in the last 20 years to examine research trends in construction management. Although bibliometric analysis, systematic literature reviews and text mining methods are used separately as a methodology for extracting research trends, no study has used enhanced bibliometric analysis and the LDA topic detection text mining method.

A bibliometric analysis for global research trends on ectomycorrhizae over the past thirty years

2018 ◽  
Vol 36 (4) ◽  
pp. 733-749 ◽  
Author(s):  
Xu Jiang ◽  
Liu Yanbin
Keyword(s):  
Bibliometric Analysis ◽  
High Frequency ◽  
Molecular Mechanisms ◽  
Publication Output ◽  
Research Trends ◽  
Future Research ◽  
Content Type ◽  
The Past ◽  
Scientific Outputs ◽  
Future Direction

Purpose Based on the significance of ectomycorrhizae (ECM) and increased publication activity on this subject, it was decided to carry out a bibliometric analysis of scientific outputs in this area. The purpose of this study is to reveal the research trends of scientific outputs on ECM for the past 30 years and provide a potential guide for future research. Design/methodology/approach A method of bibliometric analysis was performed, based on the online version of the Science Citation Index Expanded, Web of Science, from 1986 to 2017. The authors evaluated the publication types, languages, source countries, journals, the patterns of publication outputs, most-cited articles, most-productive authors, institutional distributions, subject categories, high-frequency keywords and keywords plus and high-frequency terms in the title and abstract of ectomycorrhizal research. Keywords, keywords plus and high-frequency terms in the title and abstract were analyzed via VOSviewer to illustrate the extent of co-occurrence. This study further describes the recent research priority or hotspots and reveals the research trends. Findings From 1986 to 2017, the publication output on ECM showed a rising trend; the number of articles has rapidly increased after 2003. Based on co-occurrence analysis for keywords, keywords plus and terms in the title and abstract, “ectomycorrhizal fungi” is the most popular keyword and keywords plus; “concentration” is the most high-frequency terms in the title and abstracts. Plant biology, mycology and ecology are the hotspots in the ectomycorrhizal research. Ectomycorrhizal taxonomy, the molecular mechanisms of ectomycorrhizal symbioses and the common mycorrhizal networks are the future direction. Originality/value A bibliometric analysis has been carried out to analyze the trends of ECM research with 30 years. This study provides a potential guide for future research related to ectomycorrhizae.

Value cocreation research in tourism and hospitality: a comparative bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xinyi Liu ◽  
Ying Zeng ◽  
Juan He ◽  
Zhiyong Li
Keyword(s):  
Bibliometric Analysis ◽  
Future Research ◽  
Generation Process ◽  
Data Set ◽  
Research Directions ◽  
Content Type ◽  
Dominant Logic ◽  
Value Cocreation ◽  
Similarities And Differences ◽  
Tourism And Hospitality

Purpose The purpose of this study is to present a holistic review of journal articles on value cocreation in the tourism and hospitality field. By distinguishing similarities and differences in the contexts of China and other regions, the authors identify targeted research directions. Design/methodology/approach This study collected 438 English articles and 31 Chinese articles on value cocreation in tourism and hospitality published in the Web of Science, Scopus and China National Knowledge Infrastructure online databases. After analyzing the study location of all articles in the sample, the authors identified 79 English-language articles that adopted China as the context of the study. The first data set included non-China-focused publications and the second data set included China-focused publications. A comparative bibliometric methodology was conducted. Findings The results indicate similarities and differences between the two data sets in terms of research methods, topics and future research directions. Seven major concepts were identified in the first data set: hospitality value cocreation; the value generation process; key stakeholders; outcome variables; the application of service-dominant logic; peer-to-peer accommodation and destination management. Four research focuses were identified in the second data set: the application of customer-dominant logic; the value generation process; resource integration and the cocreation experience. Research limitations/implications This research contributes to the understanding of tourism and hospitality cocreation systems through literature analysis and encourages future research on the nexus of the Chinese and global contexts. This systematic investigation extends the concept of value cocreation by integrating its implementation process and value categories and further evaluates the consequences and benefits of value cocreation, which helps clarify how winners and losers can adjust their strategies accordingly. Originality/value The originality of this paper lies in the adopted comparative bibliometric analysis which comprehensively reviewed and compared the characteristics of value cocreation research across two contexts. In addition, the study dialectically assesses Chinese tourism cocreation phenomena and their impacts from a global perspective.

scholarly journals Airbnb research: an analysis in tourism and hospitality journals

2020 ◽  
Vol 14 (1) ◽  
pp. 2-20 ◽  
Author(s):  
Luisa Andreu ◽  
Enrique Bigne ◽  
Suzanne Amaro ◽  
Jesús Palomo
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Research Performance ◽  
Future Research ◽  
Content Type ◽  
Source Selection ◽  
Academic Publications ◽  
Tourism And Hospitality ◽  
Processing Techniques

Purpose The purpose of this study is to examine Airbnb research using bibliometric methods. Using research performance analysis, this study highlights and provides an updated overview of Airbnb research by revealing patterns in journals, papers and most influential authors and countries. Furthermore, it graphically illustrates how research themes have evolved by mapping a co-word analysis and points out potential trends for future research. Design/methodology/approach The methodological design for this study involves three phases: the document source selection, the definition of the variables to be analyzed and the bibliometric analysis. A statistical multivariate analysis of all the documents’ characteristics was performed with R software. Furthermore, natural language processing techniques were used to analyze all the abstracts and keywords specified in the 129 selected documents. Findings Results show the genesis and evolution of publications on Airbnb research, scatter of journals and journals’ characteristics, author and productivity characteristics, geographical distribution of the research and content analysis using keywords. Research limitations/implications Despite Airbnb having a history of 10 years, research publications only started in 2015. Therefore, the bibliometric study includes papers from 2015 to 2019. One of the main limitations is that papers were selected in October of 2019, before the year was over. However, the latest academic publications (in press and earlycite) were included in the analysis. Originality/value This study analyzed bibliometric set of laws (Price’s, Lotka’s and Bradford’s) to better understand the patterns of the most relevant scientific production regarding Airbnb in tourism and hospitality journals. Using natural language processing techniques, this study analyzes all the abstracts and keywords specified in the selected documents. Results show the evolution of research topics in four periods: 2015-2016, 2017, 2018 and 2019.

scholarly journals REKAM JEJAK DAN POTENSI PENELITIAN DI BADAN USAHA MILIK DESA: STUDI BIBLIOMETRIK PUBLIKASI TAHUN 2015-2020

2021 ◽  
Vol 19 (2) ◽  
pp. 63
Author(s):  
Andre Kusuma ◽  
Hendrawan Santosa Putra ◽  
Sudarno Sudarno
Keyword(s):  
Bibliometric Analysis ◽  
Research Method ◽  
Research Data ◽  
Research Trends ◽  
Research Articles ◽  
Research Needs ◽  
Research Topics ◽  
Meta Data ◽  
Effective Governance ◽  
Starting Point

ABSTRACTThe development of BUMDes in Indonesia occurred after the issuance of Law No. 4 of 2015. This development is not only judged by the units formed but the number of studies as well. The development of BUMDes research has occurred significantly, this brings new needs so that these developments can be communicated. Bibliometrics are used to communicate the development of a discipline for further research needs. This study aims to map the development of research related to BUMDes from 2015-2020. The summary of this research is expected to be the starting point for further research in BUMDes studies. The research method used is quasi qualitative with bibliometric analysis. The research data is in the form of articles collected from the crossref meta data from 2015-2020. Filtering articles using the keywords "bumdes" and "village owned enterprises" and journals must be indexed on SINTA or SCOPUS. The results of this study indicate that of the 223 articles collected, 105 articles have been indexed in SINTA and 2 research articles have been indexed by SCOPUS. Trends in accounting research topics (2015-2020) are finance and management, and the potential for further research is related to the study of effective governance for BUMDes.Keywords: Bibliometric; BUMDes; Research Opportunities; Research Trends; SINTA ABSTRAKPerkembangan BUMDes di Indonesia terjadi setelah dikeluarkannya UU No. 4 Tahun 2015. Perkembangan ini bukan hanya dinilai dari unit yang terbentuk melainkan jumlah penelitian juga. Perkembangan penelitian BUMDes terjadi secara signifikan, hal ini membawa kebutuhan baru agar perkembangan tersebut dapat dikomunikasikan. Bibliometrik digunakan untuk mengkomunikasikan perkembangan suatu disiplin ilmu untuk kebutuhan penelitian selanjutnya. Penelitian ini bertujuan untuk  memetakan perkembangan penelitian terkait dengan BUMDes dari tahun 2015-2020. Rangkuman penlitian ini diharapkan dapat menjadi pijakan awal untuk penelitian selanjutnya dalam kajian BUMDes. Metode penelitian yang digunakan yaitu kuasi kualitatif dengan analisis bibliometrik. Data penelitian berupa artikel yang dikumpulkan dari meta data Crossref dalam kurun waktu 2015-2020. Penyaringan artikel menggunakan keyword “bumdes” dan “village owned enterprice” serta jurnal harus terindeks di SINTA atau SCOPUS. Hasil dari penelitian ini menunjukan dari 223 artikel yang dikumpulkan terdapat 105 artikel yang sudah terindeks di SINTA dan 2 artikel penelitian terindeks SCOPUS. Tren topik penelitian akuntansi (2015-2020) adalah keuangan dan manajemen, dan potensi penelitian selanjutnya terkait dengan kajian tata kelola yang efektif untuk BUMDesKata kunci : Bibliometrik; BUMDes; Peluang Riset; SINTA; Tren Penelitian

scholarly journals Artificial intelligence: a systematic review of methods and applications in hospitality and tourism

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zohreh Doborjeh ◽  
Nigel Hemmington ◽  
Maryam Doborjeh ◽  
Nikola Kasabov
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Demand Forecasting ◽  
Interdisciplinary Approach ◽  
Behaviour Pattern ◽  
Data Sets ◽  
Data Modelling ◽  
Content Type ◽  
Hospitality And Tourism ◽  
Tourism And Hospitality

Purpose Several review articles have been published within the Artificial Intelligence (AI) literature that have explored a range of applications within the tourism and hospitality sectors. However, how efficiently the applied AI methods and algorithms have performed with respect to the type of applications and the multimodal sets of data domains have not yet been reviewed. Therefore, this paper aims to review and analyse the established AI methods in hospitality/tourism, ranging from data modelling for demand forecasting, tourism destination and behaviour pattern to enhanced customer service and experience. Design/methodology/approach The approach was to systematically review the relationship between AI methods and hospitality/tourism through a comprehensive literature review of papers published between 2010 and 2021. In total, 146 articles were identified and then critically analysed through content analysis into themes, including “AI methods” and “AI applications”. Findings The review discovered new knowledge in identifying AI methods concerning the settings and available multimodal data sets in hospitality and tourism. Moreover, AI applications fostering the tourism/hospitality industries were identified. It also proposes novel personalised AI modelling development for smart tourism platforms to precisely predict tourism choice behaviour patterns. Practical implications This review paper offers researchers and practitioners a broad understanding of the proper selection of AI methods that can potentially improve decision-making and decision-support in the tourism/hospitality industries. Originality/value This paper contributes to the tourism/hospitality literature with an interdisciplinary approach that reflects on theoretical/practical developments for data collection, data analysis and data modelling using AI-driven technology.

Research development of Bitcoin: a network and concept linking analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chien-wen Shen ◽  
Li-chin Chang ◽  
Tzu-chuan Su
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Design Methodology ◽  
Holistic Approach ◽  
Integrated Approach ◽  
Development Trend ◽  
Relevant Research ◽  
Electronic Money ◽  
Content Type ◽  
The Development Trend

PurposeThis study aims to provide researchers a holistic approach for comprehensive understanding of the Bitcoin-related research by discovering its trends, subjects, relations, keywords and concepts.Design/methodology/approachAn integrated approach of bibliometric analysis, network analysis and concept linking analysis was proposed for exploring Bitcoin-related studies from 70 countries in the Scopus database.FindingsThe bibliometric analysis shows that electronic money and blockchain are the mainstream issues of Bitcoin, and the domain distribution of the literature is mainly in engineering-related fields. Through the network analysis of cocitations, co-occurrences and cowords, research clusters were discovered respectively from different perspectives. The authors also have mastered a multilevel concept linking diagram for six related major concepts.Originality/valueThe major contribution of this research is about providing an integrated and comprehensive approach to extract the mainstream issues that can help researchers conduct Bitcoin-relevant research. This study shows the development trend, context and clusters of Bitcoin-related studies from various perspectives networks and produces a visual concept linking diagram that will enable researchers to quickly understand the contextual relationship between Bitcoin keywords during literature analysis. In addition, the most crucial studies in the main topics are extracted to save the considerable time and labor that would be required to manually read all the literature and summarize the issues.

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