Trends in Tourism Economics Research and Future Research Directions in Korea: Language Network Analysis

2020 ◽  
Vol 44 (7) ◽  
pp. 35-56
Author(s):  
Choong-Ki Lee ◽  
Hak-Jun Kim
Keyword(s):  
Network Analysis ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Economics Research ◽  
Language Network

scholarly journals Hotel performance and research streams: a network cluster analysis

2018 ◽  
Vol 32 (2) ◽  
pp. 425-462 ◽  
Author(s):  
Ruggero Sainaghi ◽  
Rodolfo Baggio ◽  
Paul Phillips ◽  
Aurelio G. Mauri
Keyword(s):  
Network Analysis ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Performance Reviews ◽  
Network Cluster ◽  
Hotel Performance ◽  
Network Modules ◽  
Future Research Directions ◽  
Analytical Research

Purpose This paper aims to provide a review of hotel performance within the hospitality and tourism research domain. The authors use network analysis to examine two research questions. The first relates to ascertaining general trends within the hotel performance literature, and the second focuses on identifying the salient streams and sub-topics. Design/methodology/approach Articles were selected according to three criteria: keywords, journals and year of publication. The analysis embraces 20 years (1996-2015). These choices assure a wide coverage of the literature. Using these three criteria, the sample includes 1,155 papers. For the analysis, the authors created a network of papers designated as nodes, and the citations among the papers as links. A network approach recognizes the internal structure of the network by identifying groups of nodes (papers) that are more densely connected between themselves than to other nodes within the network (modules, clusters or communities). Findings The authors found 761 papers that were “connected” studies within the network. By contrast, 34 per cent of the sample (394 papers) consists of “unconnected” studies. Excluding outliers, the net sample was 734 articles. The authors identify 14 clusters, which they break down into several sub-topics. The authors conclude by providing some conclusions regarding trends and future research directions. With regards to salient topics, cross-citation and network analysis provide a detailed picture of where the literature comes from and where it currently stands. Conclusions are articulated at the theoretical and empirical levels. Originality/value Compared with previous hotel performance reviews, the approach followed by this study enables the discovery of an analytical research map, which is able to identify both clusters and sub-topics populating each segment. Researchers are able to position their work and identify issues that are in growth and decline.

scholarly journals Supply chain risk management modelling: A systematic literature network analysis review

2020 ◽  
Vol 31 (4) ◽  
pp. 387-416
Author(s):  
Marcus Vinicius Carvalho Fagundes ◽  
Eduardo Oliveira Teles ◽  
Silvio A B Vieira de Melo ◽  
Francisco Gaudêncio Mendonça Freires
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Network Analysis ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Risk Models ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

Abstract The modelling of supply chain risk management (SCRM) has attracted increasing attention from researchers and professionals. However, a systematic network analysis of the literature to understand the development of research over time is lacking. Therefore, this study reviews SCRM modelling and its evolution as a scientific field. We collected 566 papers published in the Scopus database and shortlisted 120 for review. We have analysed the field's performance, mapped the most influential studies, as well as the generative and evolutionary research areas, and derived future research directions. Using bibliometric methods and tools for citation network analysis to understand the field's dynamic development, we find that five generative research areas provide the fundamental knowledge for four evolutionary research areas. The interpretation of gaps and trends in these areas provides an SCRM modelling timeline with 14 future research directions, which should consider adopting a holistic SCRM approach and developing prescriptive and normative risk models. The holistic approach enables more research on key factors—like process integration, design, information risk, visibility and risk coordination—that directly impact industry, decision-makers and sustainability needs. Risk models with evolved prescriptive and normative typology should respect both business model strategies and actual supply chain performance.

scholarly journals deviantArt in Spotlight: A network of Artists

Leonardo ◽  
2012 ◽  
Vol 45 (5) ◽  
pp. 486-487 ◽  
Author(s):  
Almila Akdag Salah ◽  
Albert Ali Salah ◽  
Bart Buter ◽  
Nick Dijkshoorn ◽  
Davide Modolo ◽  
...  
Keyword(s):  
Network Analysis ◽  
Online Community ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions

deviantART is the largest online community of user-generated artworks. So far, a scholarly study of deviantART has been missing. The main goal of this paper is to describe several tools for the network analysis of this community and to propose future research directions for understanding this collaborative and autonomous art venue.

scholarly journals Research status in Halal: a review and bibliometric analysis

2020 ◽  
Vol 2 (1) ◽  
pp. 23-41 ◽  
Author(s):  
Abid Haleem ◽  
Mohd Imran Khan ◽  
Shahbaz Khan ◽  
Abdur Rahman Jami
Keyword(s):  
Systematic Review ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Research Area ◽  
Bibliometric Study ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions ◽  
Scopus Database

Purpose Halal is an emerging business sector and is steadily gaining popularity among scholars and practitioners. The purpose of this paper is to critically evaluate and review the reported literature in the broad area of Halal using bibliometric technique and network analysis tools. Moreover, this paper also proposes future research directions in the field of Halal. Design/methodology/approach This paper employed a systematic review technique followed by bibliometric analysis to gain insight and to evaluate the research area associated with Halal. Furthermore, data mining techniques are used for analysing the concerned article title, keywords and abstract of 946 research articles obtained through the Scopus database. Finally, network analysis is used to identify significant research clusters. Findings This study reports top authors contributing to this area, the key sub-research areas and the influential works based on citations and PageRank. We identified from the citation analysis that major influential works of Halal are from the subject area of biological science and related areas. Further, this study reports established and emerging research clusters, which provide future research directions. Research limitations/implications Scopus database is used to conduct a systematic review and corresponding bibliometric study; the authors might have missed some peer-reviewed studies not reported in Scopus. The selection of keywords for article search may not be accurate for the multi-disciplinary Halal area. Also, the authors have not considered the banking/financial aspects of Halal. The proposed four research clusters may inform potential researcher towards supporting the industry. Originality/value The novelty of the study is that no published study has reported the bibliometric study and network analysis techniques in the area of Halal.

Analysis of Online Social Networks for the Identification of Sarcasm

2018 ◽  
pp. 92-105 ◽  
Author(s):  
Pulkit Mehndiratta
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Sentiment Analysis ◽  
Online Social Networks ◽  
Future Research ◽  
Research Directions ◽  
Textual Data ◽  
Future Research Directions

With the ever-increasing acceptance of online social networks (OSNs), a new dimension has evolved for communication amongst humans. OSNs have given us the opportunity to monitor and mine the opinions of a large number of online active populations in real time. Many diverse approaches have been proposed, various datasets have been generated, but there is a need of collective understanding of this area. Researchers are working around the globe to find a pattern to judge the mood of the user; the still serious problem of detection of irony and sarcasm in textual data poses a threat to the accuracy of the techniques evolved till date. This chapter aims to help the reader to think and learn more clearly about the aspects of sentiment analysis, social network analysis, and detection of irony or sarcasm in textual data generated via online social networks. It argues and discusses various techniques and solutions available in literature currently. In the end, the chapter provides some answers to the open-ended question and future research directions related to the analysis of textual data.

scholarly journals A Survey on Computational Propaganda Detection

2020 ◽  
Author(s):  
Giovanni Da San Martino ◽  
Stefano Cresci ◽  
Alberto Barrón-Cedeño ◽  
Seunghak Yu ◽  
Roberto Di Pietro ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Language Processing ◽  
State Of The Art ◽  
Future Research ◽  
The Internet ◽  
Persuasive Messages ◽  
Research Directions ◽  
Future Research Directions

Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of social networks, and the ease of automatically creating and managing coordinated networks of accounts, to reach millions of social network users with persuasive messages, specifically targeted to topics each individual user is sensitive to, and ultimately influencing the outcome on a targeted issue. In this survey, we review the state of the art on computational propaganda detection from the perspective of Natural Language Processing and Network Analysis, arguing about the need for combined efforts between these communities. We further discuss current challenges and future research directions.

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