• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2187-2197
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• 2013

The purpose of this study is to investigate the influence of guarantee advertising by three sports stars (Jisung Park, Doori Cha, and Tahwan Park) working for famous sport brand names such as Nike, Adidas, and Fila on the intention of purchasing. In the study, total 240 people of all ages but those who are under twenty are chosen to conduct a survey. The results of investigation is the followings. First, with the respect of gender and age there are statistically meaningful differences between sports stars' guarantee advertising and consumers' intention of purchasing sporting goods that result from demographical elements. Second, how the guarantee advertising of sports stars have an influence on consumer's intention of purchasing products results in the three sports stars in a different way. As for Jisung Park, the result represents that his athlete characteristics such as expertise, creditability and similarity have to do with consumers' intention of purchasing goods most. Third, as for Doori Cha, the result identifies that his creditability and similarity plays an important role for the consumers' intention of purchasing. Forth, as for Tahwan Park, similarity has some meaningful influence on the sport consumer's intention of purchasing. The fact that similarity plays an important role in common for the consumers' intention of purchasing is noteworthy to the researchers relating to the advertisement area.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.311-317
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• 2022

The research is devoted to the substantiation of the system approach to the involvement of digital marketing tools as a guarantee of international business development. It is proved that digital marketing, as a type of marketing based on the use of digital technologies allows to make a profit, to promote the brand, as well as goods and services in the market. The digital marketing toolkit system is a set of elements with existing relationships that ensure the effectiveness of the entire digital marketing, which in total is greater than its individual components. The implementation of a systems approach involves the implementation of the philosophy of digital marketing in general, its functions in the form of systems analysis, formation of strategic development goals and entry and promotion in the international market, preparation and implementation of tactical and strategic development plans.The use of such digital marketing tools as: content marketing, social media marketing, Email-marketing, targeted advertising, contextual advertising, media advertising, Search Engine Optimization, affiliate programs and the company's website is analyzed in detail.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.55-62
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• 2016

Recently, users choosing a restaurant basedon information provided by blogs are increasing significantly. However, those of most blogs are unreliable since domestic restaurant blogs are occupied by advertising postings written by 'power bloggers'. Thus, in order to ensure the reliability of blogs, it is necessary to filter the advertising blogs which are sometimes false or exaggerated. In this paper, we propose the method of distinguishing the advertising blogs utilizing an automatic classification technique. In the proposed technique, we first manually collected advertising restaurant blogs, and then analyzed features which are commonly found in those blogs. Using the extracted features, we determined whether a given blog is advertising one applying automatic classification algorithms. Additionally, we select the features and the algorithm which guarantee optimal classification performance through comparative experiments.

• Science of Emotion and Sensibility
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• v.17 no.2
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• pp.13-24
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• 2014

Mobile phone makers compete for market shares through domination in media advertisements. These include domination of advertisements (Ads) in TV and the internet. However, the abundance and complexity of the competitions of Ads in TV does not guarantee advertising success which can influence consumers' emotion and the purchase intention towards the brand. This research analyses the case of a directional model on Attitude-towards-the-Ad model as a baseline into a new proposed correlation models (MacKenzie, Scott, &Lutz, 1989). The survey targets the involvements of Asian smartphone owners' attitude on advertisements, brands and purchase intentions. CFA (Confirmatory factor Analysis) was used in the research experiments, including hypothesis testing, the outcome of model fit which revealed significant levels and were successful. The study revealed that all three paths have consistently high coefficient paths (Attitude to Ads - Attitude to Brands - Purchase Intention), showing significant value of (${\beta}$=>.80), which supported each correlation factors. Therefore, this structural model, could set standards for creative managers and advertising teams to improve the brands visibility and build strong influences on attitudes in advertisements and improve purchase intentions.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.6
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• pp.1057-1079
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• 2023

This paper examines the use of semiotics for analyzing fashion advertisements in the fast fashion industry. While previous studies have explored the use of semiotics in various industries, the application of this theory in the fashion sector-especially regarding fast fashion's commercial videos related to sustainability-remains underexplored. The paper adopts Roland Barthes' Semiotics Theory to analyze the advertising videos related to the sustainability of major fast fashion brands such as H&M, MANGO, and ZARA. The research approach involved reviewing all commercial videos related to sustainability on these brands' official YouTube accounts and conducting comprehensive analyses of advertisements using the binary opposition analysis framework. The paper's findings indicate that these commercial videos serve as a platform to mold a brand's sustainability image and promote the notion that fast fashion brands are leading the charge toward sustainability, preparing for an unpredictable future, guiding people toward hope, and offering ultimate freedom. This research high-lights the necessity for a critical examination of advertising videos related to sustainability in the fast fashion industry to guarantee accountability and transparency.

• Knowledge Management Research
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• v.21 no.3
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• pp.177-195
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• 2020

The social consciousness on fake reviews has triggered researchers to suggest ways to cope with them by analyzing contents of fake reviews or finding ways to discover them by means of structural characteristics of them. This research tried to collect data from blog posts in Naver and detect habitual patterns users use unconsciously by variables extracted from blogs and blog posts by a machine learning model and wanted to use the technique in predicting fake reviews. Data analysis showed that there was a very high relationship between the number of all the posts registered in the blog of the writer of the related writing and the date when it was registered. And, it was found that, as model to detect advertising reviews, Random Forest is the most suitable. If a review is predicted to be an advertising one by the model suggested in this research, it is very likely that it is fake review, and that it violates the guidelines on investigation into markings and advertising regarding recommendation and guarantee in the Law of Marking and Advertising. The fact that, instead of using analysis of morphemes in contents of writings, this research adopts behavior analysis of the writer, and, based on such an approach, collects characteristic data of blogs and blog posts not by manual works, but by automated system, and discerns whether a certain writing is advertising or not is expected to have positive effects on improving efficiency and effectiveness in detecting fake reviews.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.7B
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• pp.697-710
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• 2004

Differentiated services (DiffServ) model has been prevailed as a scalable approach to provide quality of service in the Internet. However, there are difficulties in providing the guaranteed service in terms of end-to-end systems since differentiated services network considers quality of service of aggregated traffic due to the scalability and many researches have been mainly focused on per hop behavior or a single domain behavior. Furthermore quality of service may be time varying according to the network conditions. In this paper, we study dynamic class mapping mechanism to guarantee the end-to-end quality of service for multimedia traffics with the minimum network cost over differentiated services network. The proposed algorithm consists of an effective implementation of relative differentiated service model, quality of service advertising mechanism and dynamic class mapping mechanism. Finally, the experimental results are provided to show the performance of the proposed algorithm.

• Journal of the Korean Society of Costume
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• v.51 no.5
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• pp.29-43
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• 2001

Database marketing is a series of marketing activities based on the customer database for increasing the customer's life-time value. In this thesis. we applied database marketing to the sales promotional strategies of Casual Korean Traditional Clothes to activate wearing of Casual Korean Traditional Clothes. To achieve this goal, we surveyed the consciousness of wearing and purchases for Casual Korean Traditional Clothes. and extract information that can be utilized in the sales promotional strategies. According to the result, the proposed sales promotional strategies for Casual Korean Traditional Clothes are summarized as follows : (1) Useful information for the customer should be stored in the database and utilized in the marketing. (2) It is necessary to shorten the cycle of repeated purchases by emphasizing daily-life clothing of Casual Korean Traditional Clothes especially for the aged 20-40. (3) Since Casual Korean Traditional Clothes are usually weared as a ceremonial clothes in the fall, direct mail, fashion show, and advertising in the mass media should be concentrated on this season. (4) Value-added marketing should be derived by cross-selling of items harmonized with Casual Korean Traditional Clothes. (5) To guarantee fixed customers and increased usage of Casual Korean Traditional Clothes, - give point score, discount, or selling on an installment basis for the customers who use credit cards or department cards. - select privileged customers by analyzing purchase history and provide multiple services for these customers. - let the customers rent Casual Korean Traditional Clothes in an appropriate cost, and make customer cards for the construction of elaborated customer database. (6) To increase the acknowledgement of Casual Korean Traditional Clothes, not only Persistent publicity, but also fashion show, visual merchandising, and advertisement in mass media should be conducted as well.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.255-264
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• 2012

This paper analyzes the survival rate of small & medium size-cultural contents industry, which includes printing, broadcasting, advertising, entertainment, other manufactures, and so on, by using survival analysis. In this article, after testing significance among characteristic factors and survival rate and hazard rate were estimated The results of the analysis are as follows: There are some significants differences among industries in details. Also there are some significants differences by region, by the number of employees, by financial status, and working periods of CEOs. The contribution of this study is to apply the method of survival analysis to the cultural contents industry in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.730-737
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• 2018

With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.