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ISSN : 2233-4165(Print)
ISSN : 2233-5382(Online)
Journal of Industrial Distribution & Business Vol.10 No.8 pp.17-24
DOI : http://dx.doi.org/10.13106/ijidb.2019.vol10.no8.17

Exploration of Research Trends in The Journal of Distribution Science Using Keyword Analysis

Woo-Ryeong YANG**
* This paper has been represented 2019 International Conference on Business and Economics (ICBE 2019). Reviewed by new discussion of two panelist and revised faithfully reflected by three anonymous reviews. And I would like to thank Professor Hoe-Chang Yang for giving me advice on completing my paper and Chan-hyung Kim for helping with data coding.
** 1st Author. Integrated Course of Master & Doctoral, Dept. of Business Informatics, Hanyang University, Korea. Tel: +82-2-2220-4777. Email: wooryeong325@naver.com,

© Copyright: Korean Distribution Science Association (KODISA)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
May 03, 2019. July 13, 2019. August 05, 2019.

Abstract

Purpose – The purpose of this study is to find out research directions for distribution and fusion and complex field to many domestic and foreign researchers carrying out related academic research by confirming research trends in the Journal of Distribution Science (JDS).
Research Design, Data, and Methodology – To do this, I used keywords from a total of 904 papers published in the JDS excluding 19 papers that were not presented with keywords among 923. The analysis utilized word clouding, topic modeling, and weighted frequency analysis using the R program.
Results – As a result of word clouding analysis, customer satisfaction was the most utilized keyword. Topic modeling results were divided into ten topics such as distribution channels, communication, supply chain, brand, business, customer, comparative study, performance, KODISA journal, and trade. It is confirmed that only the service quality part is increased in the weighted frequency analysis result of applying to the year group.
Conclusion – The results of this study confirm that the JDS has developed into various convergence and integration researches from the past studies limited to the field of distribution. However, JDS's identity is based on distribution. Therefore, it is also necessary to establish identity continuously through special editions of fields related to distribution.

JEL Classifications: C60, C89, D39, M10, N01.

초록


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