scholarly journals What Are the Drivers of Citations?: Application in Tourism and Hospitality Journals

2021 ◽  
Vol 11 (19) ◽  
pp. 9288
Author(s):  
Eunhye Park ◽  
Woohyuk Kim
Keyword(s):  
Topic Modeling ◽  
Web Of Science ◽  
Sharing Economy ◽  
Online Media ◽  
Research Topics ◽  
Qualitative And Quantitative ◽  
Hospitality And Tourism ◽  
Citation Counts ◽  
Tourism And Hospitality ◽  
Topic Structure

In line with the qualitative and quantitative growth of academic papers, it is critical to understand the factors driving citations in scholarly articles. This study discovered the up-to-date academic structure in the tourism and hospitality literature and tested the comprehensive sets of factors driving citation counts using articles published in first-tier hospitality and tourism journals found on the Web of Science. To further test the effects of research topic structure on citation counts, unsupervised topic modeling was conducted with 9910 tourism and hospitality papers published in 12 journals over 10 years. Articles specific to online media and the sharing economy have received numerous citations and that recently published papers with particular research topics (e.g., rural tourism and eco-tourism) were frequently cited. This study makes a major contribution to hospitality and tourism literature by testing the effects of topic structure and topic originality discovered by text mining on citation counts.

30 years of contemporary hospitality management

2019 ◽  
Vol 31 (7) ◽  
pp. 2641-2665 ◽  
Author(s):  
Faizan Ali ◽  
Eunhye (Olivia) Park ◽  
Junehee Kwon ◽  
Bongsug (Kevin) Chae
Keyword(s):  
Topic Modeling ◽  
Relative Weight ◽  
Hospitality Management ◽  
Academic Journal ◽  
Research Topics ◽  
Content Type ◽  
Before And After ◽  
Hospitality And Tourism ◽  
Published Research ◽  
Over Time

Purpose This paper aims to showcase the trends in the research topics and their contributors over a time period of 30 years in the International Journal of Contemporary Hospitality Management (IJCHM). To be specific, this paper uncovers IJCHM’s latent topics and hidden patterns in published research and highlights the differences across three decades and before and after Social Sciences Citation indexing. Design/methodology/approach In total, 1,573 documents published over 199 issues of IJCHM were analyzed using two computational tools, i.e. metaknowledge and structural topic modeling (STM), as the basis of the mixed method. STM was used to discover the evolution of topics over time. Moreover, bibliometrics (and network analysis) were used to highlight IJCHM’s top researchers, top-cited references, the geographical networks of the researchers and differences in the collaborative networks. Findings The number of papers published continually increased over time with changes of key researchers publishing in IJCHM. The co-authorship networks have also changed and revealed an increasing diversity of authorship and collaborations among authors in different countries. Moreover, the variety of topics and the relative weight of each topic have also changed. Research limitations/implications Based on the findings of this study, theoretical and practical implications for hospitality and tourism researchers are provided. Originality/value It is the first attempt to apply topic modeling to a leading academic journal in hospitality and tourism and explore the diversity in contemporary hospitality management research (topics and contributors) from 30 years of published research.

Mining Bilateral Reviews for Online Transaction Prediction: A Relational Topic Modeling Approach

2021 ◽  
Author(s):  
Jiawei Chen ◽  
Yinghui (Catherine) Yang ◽  
Hongyan Liu
Keyword(s):  
Topic Modeling ◽  
Topic Model ◽  
Sharing Economy ◽  
Data Sets ◽  
Real World Data ◽  
Document Collections ◽  
Modeling Approach ◽  
Text Corpora ◽  
Topic Structure ◽  
Different Sources

In recent years, more and more platforms where both buyers and sellers can write reviews for each other have emerged. These bilateral reviews are important information sources in the decision-making process of both buyers and sellers. In this study, we develop a comprehensive relational topic modeling approach to analyze bilateral reviews for better online transaction prediction. The prediction results will enable the platform to increase the chance that the buyer and seller reach a transaction by presenting buyers with offerings that are more likely to lead to a transaction. Within the framework of the relational topic model, we embed a topic structure with both shared and corpus-specific topics to better handle text corpora generated from different sources. Our model facilitates the extraction of the appropriate topic structure from different document collections that helps enhance the transaction prediction performance. Comprehensive experiments conducted on real-world data sets collected from sharing economy platforms demonstrate that our new model significantly outperforms other alternatives. The robust results obtained from multiple sets of comparisons demonstrate the value of bilateral reviews if they are processed properly. Our approach can be applied to many platforms where bilateral reviews are available.

scholarly journals Bibliometric Keyword Analysis across Seventeen Years (2000–2016) of Intelligence Articles

2018 ◽  
Vol 6 (4) ◽  
pp. 46 ◽  
Author(s):  
Bryan Pesta ◽  
John Fuerst ◽  
Emil Kirkegaard
Keyword(s):  
Factor Analysis ◽  
Web Of Science ◽  
Research Trends ◽  
Regression Analyses ◽  
Research Topics ◽  
Keyword Analysis ◽  
The Past ◽  
Ability Factor ◽  
Citation Counts ◽  
Shed Light

An article’s keywords are distinct because they represent what authors feel are the most important words in their papers. Combined, they can even shed light on which research topics in a field are popular (or less so). Here we conducted bibliometric keyword analyses of articles published in the journal, Intelligence (2000–2016). The article set comprised 916 keyword-containing papers. First, we analyzed frequencies to determine which keywords were most/least popular. Second, we analyzed Web of Science (WOS) citation counts for the articles listing each keyword and we ran regression analyses to examine the effect of keyword categories on citation counts. Third, we looked at how citation counts varied across time. For the frequency analysis, “g factor”, “psychometrics/statistics”, and “education” emerged as the keywords with the highest counts. Conversely, the WOS citation analysis showed that papers with the keywords “spatial ability”, “factor analysis”, and “executive function” had the highest mean citation values. We offer tentative explanations for the discrepant results across frequencies and citations. The analysis across time revealed several keywords that increased (or decreased) in frequency over 17 years. We end by discussing how bibliometric keyword analysis can detect research trends in the field, both now and in the past.

scholarly journals Landscape and Tourism: Evolution of Research Topics

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 488
Author(s):  
Mercedes Jiménez-García ◽  
José Ruiz-Chico ◽  
Antonio Rafael Peña-Sánchez
Keyword(s):  
National Parks ◽  
Web Of Science ◽  
Software Tool ◽  
Research Topics ◽  
Science Mapping ◽  
Research Fields ◽  
Complete Knowledge ◽  
Mapping Analysis ◽  
Landscape Research ◽  
Emerging Themes

Tourism and landscape are broad and complex scientific research fields, as is the synergy between them has given rise to a volume of articles diverse in nature, subject matter and methodology. These difficulties mean that, at present, there is no complete theoretical framework to support this tourism and landscape research, nor complete knowledge of its structure and organization. This motivates the present work, which constitutes the first attempt at mapping this research topic by applying bibliometric techniques using VOSviewer and Science Mapping Analysis Software Tool (SciMAT) software. A total of 3340 articles from journals indexed in Web of Science were analyzed. The results obtained confirm that interest in the study of these concepts has been growing, especially in the last decade. The main contribution of this work lies in the identification of work themes that were basic to the construction of the field but that are currently in decline, such as “cultural heritage” and other themes important to the field that should continue to be dealt with, such as “national parks” or “geotourism”. The transversal nature of sustainability that appears in the network of keywords related to currently emerging themes, such as “planning” and “environment”, is also highlighted and reinforced.

scholarly journals A Framework for Diagnosing Urban Rail Train Turn-Back Faults Based on Rules and Algorithms

2021 ◽  
Vol 11 (8) ◽  
pp. 3347
Author(s):  
Siqi Ma ◽  
Xin Wang ◽  
Xiaochen Wang ◽  
Hanyu Liu ◽  
Runtong Zhang
Keyword(s):  
Topic Modeling ◽  
Traffic Accidents ◽  
Internal Communication ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Rule Generation ◽  
Text Data ◽  
Common Cause ◽  
Qualitative And Quantitative ◽  
Urban Rail

Although urban rail transit provides significant daily assistance to users, traffic risk remains. Turn-back faults are a common cause of traffic accidents. To address turn-back faults, machines are able to learn the complicated and detailed rules of the train’s internal communication codes, and engineers must understand simple external features for quick judgment. Focusing on turn-back faults in urban rail, in this study we took advantage of related accumulated data to improve algorithmic and human diagnosis of this kind of fault. In detail, we first designed a novel framework combining rules and algorithms to help humans and machines understand the fault characteristics and collaborate in fault diagnosis, including determining the category to which the turn-back fault belongs, and identifying the simple and complicated judgment rules involved. Then, we established a dataset including tabular and text data for real application scenarios and carried out corresponding analysis of fault rule generation, diagnostic classification, and topic modeling. Finally, we present the fault characteristics under the proposed framework. Qualitative and quantitative experiments were performed to evaluate the proposed method, and the experimental results show that (1) the framework is helpful in understanding the faults of trains that occur in three types of turn-back: automatic turn-back (ATB), automatic end change (AEC), and point mode end change (PEC); (2) our proposed framework can assist in diagnosing turn-back faults.

Internet marketing research in hospitality and tourism: a review and journal preferences

2015 ◽  
Vol 27 (7) ◽  
pp. 1556-1572 ◽  
Author(s):  
Xi Yu Leung ◽  
Lan Xue ◽  
Billy Bai
Keyword(s):  
Literature Review ◽  
Correspondence Analysis ◽  
Marketing Research ◽  
Internet Marketing ◽  
Future Research ◽  
Research Topics ◽  
Content Type ◽  
Customer Perspective ◽  
Hospitality And Tourism ◽  
Hospitality Managers

Purpose – The purpose of this study is to provide a progress review of published Internet marketing research within the top eight hospitality and tourism journals and to provide suggestions on future research directions. Design/methodology/approach – The study collected 331 Internet marketing-related articles published in the top eight hospitality and tourism journals during the period of 1996-2013. Using content analysis, the study analyzed and discussed research topics, research methods and industry sectors of selected articles. The study period was broken into three sub-periods and used correspondence analysis (CA) to examine the significant changes of topical areas over time. A follow-up CA was conducted to compare the topical and methodological preferences of the selected eight journals. Findings – In all, 5-category and 27-subcategory classifications of research topics were identified in the study. The two-dimensional perceptual map indicates that Internet marketing research in the hospitality and tourism fields experienced introduction, growth and maturity stages. The research focus changed from business perspective to customer perspective and then to both business and customer perspectives. The eight top hospitality and tourism journals were grouped into four journal sets that share similar article characteristics and preferences. Research limitations/implications – Due to the sample size, the classifications and trends generated in this study may not be generalized to all Internet marketing research in hospitality and tourism disciplines. The process of identifying topic and method categories might be biased, especially in identifying new topics. Future research may apply CA method in literature review studies on other research topics. Practical implications – The study analyzed published research in Internet marketing in the hospitality and tourism fields and provided topical and methodological recommendations to academia for future research. This study may also give hospitality managers new insights into Internet marketing applications in the industry. Originality/value – This study is one of the few attempts to provide a comprehensive review of Internet marketing research in the hospitality and tourism fields. This study uses CA in literature review study, opening up a new way to easily analyze and visually display the literature trends. This study also creatively compared the publication preferences among eight top-tier hospitality and tourism journals using correspondence analysis.

A topic modeling analysis of Korea’s T&I research trends in the 2010s

Babel ◽  
2021 ◽  
Author(s):  
Changsoo Lee
Keyword(s):  
Topic Modeling ◽  
Research Output ◽  
Research Trends ◽  
Korean Language ◽  
Modeling Analysis ◽  
Trends Over Time ◽  
New Research ◽  
Topic Structure ◽  
Manual Classification

Abstract The present study aims to demonstrate the relevance of topic modeling as a new research tool for analyzing research trends in the T&I field. Until now, most efforts to this end have relied on manual classification based on pre-established typologies. This method is time- and labor-consuming, prone to subjective biases, and limited in describing a vast amount of research output. As a key component of text mining, topic modeling offers an efficient way of summarizing topic structure and trends over time in a collection of documents while being able to describe the entire system without having to rely on sampling. As a case study, the present paper applies the technique to analyzing a collection of abstracts from four Korean Language T&I journals for the 2010s decade (from 2010 to 2019). The analysis proves the technique to be highly successful in uncovering hidden topical structure and trends in the abstract corpus. The results are discussed along with implications of the technique for the T&I field.

Consumers’ snack choices: current factors contributing to obesity

2019 ◽  
Vol 121 (2) ◽  
pp. 347-358 ◽  
Author(s):  
Annchen Mielmann ◽  
Thomas A. Brunner
Keyword(s):  
Quantitative Methods ◽  
Web Of Science ◽  
Content Type ◽  
Obesity Epidemic ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Health Measures ◽  
Specific Effects ◽  
Health Practitioners ◽  
Public Health Practitioners

Purpose The purpose of this paper is to indicate the need for and create an insightful understanding of the current factors contributing to consumer’s obesity levels due to their snack choices. Design/methodology/approach This paper reports on previous literature using publications from the Emerald Insight Journals, Google Scholar, ScienceDirect and Web of Science electronic database from 1999 to 2018 that validate and support existing literature. The retrieved literature is organised and classified into specific constructs. Findings Research into consumers’ choice of snacks from an environmental, cultural and health perspective is still underrepresented in the international scientific literature. More research is required on the specific effects of specific levels of the stated factors contributing to obesity. Health and cross-cultural studies are needed for a more comprehensive understanding of the relation between snack choices and factors contributing to obesity that will help to implement more efficient health measures. Originality/value This paper is of value to academics studying consumers’ snacking behaviour and public health practitioners evaluating qualitative and quantitative methods to address the obesity epidemic.

scholarly journals MEDIA, STEREOTYPES AND MUSLIM REPRESENTATION: WORLD AFTER JYLLANDS-POSTEN MUHAMMAD CARTOONS CONTROVERSY

2019 ◽  
Vol 6 ◽  
pp. 59-72
Author(s):  
Rūta Sutkutė
Keyword(s):  
Cultural Context ◽  
World View ◽  
Media Representations ◽  
Online Media ◽  
The West ◽  
Underlying Assumption ◽  
Qualitative And Quantitative ◽  
Quantitative Content ◽  
Negative Images ◽  
The Media

In the 21st century media has become the dominant source of knowledge of Islam and Muslims and selectively decides what the West should know about Islam and what should be hidden. However, the underlying assumption is that, the media as an institution forming stereotypes depends on the local socio-cultural context. The goal of this paper – to find out how media (as the mediator) forms values, world view of a society, creates stereotypes in different cultural environments through analysis of Muhammad cartoons. The objectives are: to define the concepts of Neo-Orientalism, Muslimophobia and Islamophobia; to find out the connection between media representations and negative images of Islam and Muslims in the society; to reveal the main stereotypes of Muslims and Islam in online media in 4 different countries by analysing the case of Muhammad cartoons. The conducted qualitative and quantitative content analysis confirmed the hypothesis that in the specific cultures the same event is presented in different ways while forming value based orientation for a specific audience. Western media seeks to portray Muslims as terrorists / Islamists that are against West, their values and any possibility of integration in Western societies. Meanwhile, Lebanon and India (Kashmir) media does not portray orientalism and Islamophobic views, because audiences are dominated by Muslims. However there are noticeable manifestations of Occidentalism - resistance to the West and the Islamophobic portrayal of public in media. Moreover, information serves as a public mobilization function, so there are reasons to believe that violent protests in Kashmir and Lebanon could have been encouraged by the media.

Sign in / Sign up

Export Citation Format

Share Document