• Journal of the Economic Geographical Society of Korea
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• v.9 no.1
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• pp.39-60
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• 2006

The value chain is analytically useful for the cultural industry that has the characteristics of both manufacture and service industry, as the focus of value chain analysis moves from manufacturing only to the other stages of activity involved in supplying goods and services to consumers. The aim of paper is to analyse the value chain of the cultural industry in Gyeongbuk, find out the strengths and weaknesses of it, and suggest the ways to enhance the innovation capabilities of cultural industry in Gyeongbuk. First, the firms in advertisement & marketing, and circulation & distribution have low percent in cultural industry and need the low level of human resource, but produce high value-added in value chain; so, we should facilitate the make-up of the firms in advertisement & marketing, and circulation & distribution. Second, we should strengthen inter-firm networks to facilitate the ex-change of the equipment, human resource, information and technology between them. Third, we should construct the system to development human resource with two levels and spread the open atmosphere of firms.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.1-10
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• 2017

This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.3
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• pp.73-80
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• 2011

This study aims to develop furniture industry in eastern district of Gangwondo and a city of Gangneung and Donghae. Case study on furniture complex in Asahikawa, Japan and survey of furniture companies in Gangneung and Donghae city were implemented for understanding of present state, followed by analysis of problems. It can be summarized as follows. First, the basic operation method of Japanese furniture industry is to keep a balance between industry and academy. Universities or centers are in charge of education and fostering talents, such as allowing to promote and to sell products in design center gallery while corporations support it by lending expensive devices and conducting strength test analysis. Second, according to the survey of furniture companies in Gangneung, many difficulties in products development such as a shortage of designer, method, creative design were discovered. With respect to education and human force fostering, education for design and e-commerce were not sufficient, also marketing section has a problem with limited space for display and selling. Corporate support section is facing problems in receiving raw materials, aging of facilities, manufacturing and management methods. Consequently, it is considered that academic and industrial sections should implement their own roles by forming a bilateral network which connects local universities, high schools, relevant organization in the city and providence and furniture manufacturing companies to companies' product development, human force fostering and marketing in an attempt to activate the furniture industry in this area.

• Archives of design research
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• v.12 no.2
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• pp.199-207
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• 1999

The internet technology is sufficient to attract our curiosity and adequate for enterprises to advertise its commercial message very effectively. It is a network that makes the computer be a major media. We have leading concerns in the internet advertisement because we expect that it will be the tool of a chief communication in the future. The banner advertisement in the Internet is considered as an active media. The banner advertisement is greatly various as the effective marketing tool from commercial banner to the personal homepage. Considering to the user's computer environment and Internet environment, this thesis shows what the banner advertisement of the enterprise's marketing and general understanding Influences expressions of the banner advertisement's creative factors and effective methods. It also suggests the analysis about the banner advertisement expression's creative factors. According to the analysis of banner advertisement in the domestic news site, It might be investigated the creative factor's absence and problems in design field.

• The Korean Journal of Franchise Management
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• v.12 no.4
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• pp.25-40
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• 2021

Purpose: Marketing communication with customers is essential for companies to survive and grow in a fiercely competitive environment. Advertising is one of the most readily accepted marketing communications by consumers. Unlike a company that owns a distribution network, advertising is vital for a franchise. In general, many advertising models select celebrities. Celebrities are more likely to attract audience attention and influence consumers' purchase intentions. Customers satisfied with advertising are more likely to stay loyal and buy again when the company launches a new product. In addition, customers form a brand image through advertisements. Therefore, in this study, the effect of the characteristics of the foodservice franchise advertising model characteristics on model satisfaction, brand image, and purchase intention. Research design, data, and methodology: The survey of this study was conducted among consumers over the age of 20 who had seen a restaurant franchise advertisement and visited a store within the last 2 months. 305 copies were collected for 7 days during the survey period, from October 21 to October 27, 2021. Among the collected questionnaires, 12 insincere questionnaires were excluded, and 293 were used for analysis. SPSS 25.0 and Smart PLS 3.0 were used as data collected to test the hypothesis. Result: As a result of the study, among the advertising model characteristics of a foodservice franchise, reliability, attractiveness, expertise, and closeness all had a significant positive (+) effect on model satisfaction. In addition, reliability and closeness were found to have a significantly positive (+) effect on brand satisfaction, but attractive and expertise did not significantly affect brand image. Finally, model satisfaction was found to have a significant positive (+) effect on brand image and purchase intention. Brand image also appeared to have a significant positive effect on purchase intention. Conclusions: Research Results First, this study verified the effect of a restaurant franchise advertising model using celebrities by using the characteristics of the advertising model. Second, this study developed a conceptual structure for model characteristics - model satisfaction - brand image - purchase intention. Third, the restaurant franchise marketer needs to select a model in consideration of the privacy of the advertising model. Fourth, consumers tend to equate advertising models with advertising

• The Journal of Industrial Distribution & Business
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• v.12 no.4
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• pp.35-51
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• 2021

Purpose: As the digital environment has expanded opportunity for consumers to acquire information from social media and social network services(SNS), With this environment, influencer has not only promoted products, but also participated in distribution and influencing on their followers. Despite the increasing interest in influencers, there has not been enough research on the structure of fashion influencer, relationship of immersion and purchase intention. This study examined the effects of fashion influencers' characteristics to the immersion of relationship with followers and purchase intention. Research design, data and methodology: For data collection, a pilot survey and the final survey were conducted. The pilot survey data was conducted to 50 female SNS users following fashion influencers. Based on the pilot tests, questionnaire was revised and the final survey was conducted online from august 22 to September 1, 2019 to female SNS users who have followed fashion influencer. A total of 408 data were collected, and exploratory factor analysis, correlation analysis, and structural equational modeling techniques were employed for the data analyses using AMOS 26.0 and SPSS 26.0. Results: First, five factors were extracted for the fashion influencers' characteristics: interactivity, similarity, reliability, expertise and attractiveness. Second, fashion influences' reliability, expertise, similarity, interactivity have a positive (+) effects on relationship immersion; however, attractiveness has no effect on relationship immersion with followers and fashion influencer. It was also determined that relationship immersion had positive (+) influences on purchase intention. The relationship immersion has been found to have a partially mediated effect and similarity has complete mediated effects between interactivity, reliability, and expertise of fashion influencers and purchasing intentions. In terms of fashion opinion leadership, it was found to have a significant influence on purchase intention only for low fashion leadership groups. Conclusions: The present study found the structural relationships among the influencer characteristics, relationship immersion and purchase intentions to provide framework for succeeding research. This research revealed academic association of intention of purchasing through use of fashion social media and fashion influencer marketing. The results also showed the practical implications that fashion influencers' expertise and reliability perceived by their followers are key determinants to success in influencer marketing.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.593-604
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• 2022

The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

• Journal of the Korean Applied Science and Technology
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• v.39 no.3
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• pp.433-441
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• 2022

The purpose of this study is to investigate the relationship between media engagement, media empathy, and media value of MCN sports broadcasting. To achieve this purpose, a survey was conducted on 324 MCN sports broadcast viewers. Exploratory factor analysis was performed to confirm validity, and Cronbach's α test was performed to investigate reliability. In addition, correlation analysis was performed to verify discriminant validity, and linear regression analysis was performed to verify the research hypothesis, and the following conclusions were drawn. Media engagement had a positive effect on media value. Media engagement had a positive effect on media empathy. Media empathy has a positive effect on media value.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.19-30
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• 2018

The main purposes of this study are to analyze the contents and text network of online tourism information. For this purpose, Jeju Island, one of the representative tourist destinations in South Korea is selected as a study site. And this study collects the contents of both JeJu official tourism website and Sina Weibo's personal blogs which is one of the most popular Social Network Systems in China. In addition, this study analyzes this online text information using ROST Content Mining System, one of the Chinese big data mining systems. The results of the content analysis show that the formal website of Jeju includes the nouns related to natural, geographical and physical resources, verbs related to existence of resources, and adjectives related to the beauty, cleanness and convenience of resources mainly. Meanwhile, personal blogs include the nouns of Korean-wave, food, local products, other destinations and shopping, verbs related to activity and feeling in Jeju, and adjectives related to their experiences and feeling mainly. Finally, the results of text network show that there are some strong centrality and network of online tourism information at formal website, but there are weak relationships in personal blogs. The results of this study may be able to contribute to the development of demand-based marketing strategies of tourists destination.