• Culinary science and hospitality research
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• v.9 no.4
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• pp.98-112
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• 2003

Approximately 0.7 millions dining business exist all over the country and the industry gains 33 trillions sales every year. Although the characteristics, preference factors, and consuming trends of the consumers in this area are diverse and unpredictable than those in other segments, it is actual that the industry has not been divided as a specified market suited to the real state of affairs in the nation. Therefore, in order for appropriate marketing strategies, it will be necessary to focus on extending product classification, diversifying brands, health marketing, and marketing by ages, by generations, and by life patterns. In addition, economically superior position can be established by subdividing strategies meeting various needs and expectations of consumers.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.1
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• pp.69-78
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• 2008

A new coinage which calls a modern was appeared variously by values, taste, feature of lifestyle and the meaning of a new coinage has influence in the change of lifestyle. Particularly a popular star is a person who situates in the center of a new coinage, his role, behavior, and appearance have great influence in the birth of a new coinage. He is a fashion leader as well as the object of fashion imitation to the new generation being sensitive for fashion. As his fashion is appeared with important fashion icon in fashion market, fashion companies have developed actively star marketing marking him as an advertising model. Therefore, because the fashion trends of a popular star introduce season's fashion trends and can be important factor forecasting fashion behavior of consumer, this study aims at analysis for fashion trends of a popular star including a public entertainer. The dates of this study were collected by TV drama, internet, and magazines, etc. The fashion trends were divided into feminine fashion trend, sexy fashion trend, tomboy fashion trend, and retro fashion trend. Feminine fashion trend was based on feminity but it was classified in masculine look, simple look, chic look, and natural & romantic look according to the standard of a transformation of feminine image. Sexy fashion trend was divided into two sexy images according to the method wrapping oneself in a dress and the method exposing a specific body part. Tomboy fashion trend could be the immature boyish style which concealed bust or hip or pelvis symbolizing feminity. Retro fashion trend could be style being based on 1980's style and Y line. Fashion items as leggings, baby doll dress, tunic style, dot pattern, garsonne look were come into fashion.

• The Research Journal of the Costume Culture
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• v.12 no.3
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• pp.327-338
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• 2004

This study was attempted to check period of a fashion cycle and to suggest its main-stream and sub-stream by analyzing the fashion trends presented in Vogue Korea between 1997 and 2002. A content analysis method was used to analyze 24 volumes. The result showed that the fashion trend of 1997's was a turning point from the simplicity, which was a trend up to 1996's, to the romanticism. The fashion trends of 2002 seemed to be also a turning point from the new-romanticism which was added the hippism to the romanticism continued from 1997, to the sporticism. The result confirmed that the main-stream of fashion theme have been continued for 5 years as a regular cycle system and could be repeated. It also verified that some sub-stream which was affected by social, cultural and political situation led the fashion changes. The results of this study could be expected to reflect not only fashion design, merchandising and marketing strategy but also consumer purchase behavior of the future.

• Journal of Korea Port Economic Association
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• v.22 no.2
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• pp.1-18
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• 2006

The purpose of this study is to consolidate the position of Kunsan Port as a Hub-port in Northeast asian region with the development of Kunsan port's hinterland. To accomplish the purpose, this paper firstly reviews the concept and function of port's hinterland literally. Next, We attempt to grasps the trends of port logistics service in this region, and to cope with this trends, study the previous researches of logistics platform(LP). Based upon the study, We find out the main factors of improving efficiency in port logistics, and build the model of logistics strategy with such factors as (1) Environment (2) Marketing (3) Logistics Chain and (4) Logistics community. And in order to applicate the model, we analyze the current situation of Kunsan port and port's hinterland. Finally, we provide the logistics strategies in Kunsan port's hinterland.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.953-954
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• 2013

Smartphone, Tablet PC users increases rapidly, the amount of data is an increasing number and their characteristics vary. Big Data field to collect vast amounts of data such that create new value by analyzing has attracted attention. In recent years, big data technology to use for marketing and product planning movement is growing. In this paper, we would like to analyze the trends of big data.

• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1138-1156
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• 2021

Emotional semantics are the highest level of semantics that can be extracted from an image. Constructing a system that can automatically recognize the emotional semantics from images will be significant for marketing, smart healthcare, and deep human-computer interaction. To understand the direction of image emotion recognition as well as the general research methods, we summarize the current development trends and shed light on potential future research. The primary contributions of this paper are as follows. We investigate the color, texture, shape and contour features used for emotional semantics extraction. We establish two models that map images into emotional space and introduce in detail the various processes in the image emotional semantic recognition framework. We also discuss important datasets and useful applications in the field such as garment image and image retrieval. We conclude with a brief discussion about future research trends.

• Korean Journal of Human Ecology
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• v.21 no.1
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• pp.129-140
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• 2012

The purpose of this study was to examine the Korean research trends of Chinese fashion market for clothing construction and merchandising. The data for this study consists of 118 researches published in six Korean journals from 1998 to 2010. The results were as follows: 1) For clothing construction, the most studied topic was body type, and for merchandising, individual characteristics were mostly researched. 2) There were a large number of researches by multiple authors. 3) For clothing construction, they tended to be studied by the experimentation model and for merchandising, the questionnaire and survey were mostly used in researches. 4) Most researches used descriptive statistical methods for analysis. 5) And the data were mostly gathered from Chinese women. These findings provide significant insights into current trends and further studies in Chinese market.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.25-50
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• 2014

The purpose of this study is to analyze academic research trends of the library management in Korea. Especially, this study focused on research trend analysis according to the sub categories of library management. For this purpose, this study analyzed a total of 359 papers of library and information science from 2004 to 2013 at the four academic journals of the National Research Foundation of Korea. As a result, it was found that the sub field which showed the highest performance was 'general management' and following sub fields were 'measurement and evaluation', 'human resource management', 'building and facility', 'policy and system.' However, there has been relatively less performance in the sub fields like 'marketing', 'organization management', 'budget management'.

• Korean Journal of Applied Biomechanics
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• v.32 no.3
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• pp.69-79
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• 2022

Objective: The purpose of this study is to analyze trends related to sports and artificial intelligence (AI) to understand the trends and how they change according to time, and to establish methods to apply AI in sports. Both macro and micro perspectives related to sports utilization of AI were analyzed. Method: In this study, after analyzing and discussing various information related to the use of artificial intelligence in the sports through a search of academic journals, papers, books, and websites published recently at nationally and internationally, the application plan of artificial intelligence in the sports field was presented. Results: 1) Motion analysis technology using artificial intelligence is effective in sports where posture is important, and if it provides systematic feedback and training methods, it can help improve performance. 2) The introduction of a sports referee judgment system using artificial intelligence is expected to improve performance by restoring factual judgment and objective fairness in sports games. 3) Artificial intelligence will provide coaching staff and players with a variety of information to help improve performance through systematic coaching and improving feedback and enhanced training methods. 4) It is judged that artificial intelligence-related to sports ethics, sports ICT, sports marketing, sports prediction, etc. We think that based on the current AI research trends will have a positive impact on all sports-related areas, helping to revitalize sports. Conclusion: Motion analysis technology using artificial intelligence, sports referee judgment system, coaching using artificial intelligence, and artificial intelligence are judged to have a positive effect on all sports-related areas and help revitalize sports.

• The Journal of Economics, Marketing and Management
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• v.11 no.4
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• pp.53-63
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• 2023

Purpose: The purpose of this study is to examine the research trends in the papers published by Korean researchers related to traditional markets, to check what topics have been studied, and to make various suggestions for research directions and effective ways to revitalize traditional markets. Research design, data and methodology: To this end, this study conducted word frequency analysis, co-occurrence frequency analysis, BERTopic, LDA, dynamic topic modeling and OLS regression analysis using Python 3.7 on the English abstracts of a total of 502 papers extracted through ScienceON. Results: As a result of word frequency analysis and co-occurrence frequency analysis, it was found that studies related to traditional markets have been conducted not only on factors related to customers, but also on traditional market merchants and government policies, and the degree of service, quality, and satisfaction perceived by customers using traditional markets. Through BERTopic and LDA, three topics such as 'Traditional market safety management' were identified, and among them, it was found that 'Traditional market safety management' is relatively less attention by researchers. Conclusions: The results of this study suggest that future research on the revitalization of traditional markets should be conducted from a specific consulting perspective along with the establishment of various data, a causal model study from various perspectives such as the characteristics of merchants as well as consumers, and an integrated and convergent approach to policy formulation by the government and local governments.