• Title/Summary/Keyword: 특화상품

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A Study on Effects of Experiential Value of Hotel users for 5 Star Hotels on Usage Satisfaction and Continuous Usage Intention (특급호텔 이용객의 경험가치가 이용만족과 지속적 이용의도에 미치는 영향관계 연구)

  • Lee, Soon-Taek
    • The Journal of the Korea Contents Association
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    • v.19 no.10
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    • pp.59-68
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    • 2019
  • To continue the growth of use of 5-star hotels by Koreans, who have recently shown the consumption trends pursuing the empirical value of a consumption process, and have turned into core customers of 5-star hotels in Seoul, it is necessary to study factors of experience value pursued by Koreans. As a result, fantasy is identified as a major leading factor in usage satisfaction among experiencial values. So it is important to reflect special concepts and atmospheres for emotional values, such as other world experience, new experience, and high-quality experience. And consumer return on investment was identified as a leading factor in positively affecting usage satisfaction. So it is important to develope a proper products that can enough benefits with reasonable prices. In the relationship between usage satisfaction and continuous usage intention, gender characteristics and occupational characteristics were found to play a moderating role. Male customers, and those with professional and self-employed occupations, were found to have higher continuous usage intention than females and other occupational customers. This is a result of the fact that customers with an economical power are likely to be continuous repeat customers of 5-star hotels, so the necessity of strengthening marketing activities such as research on the development of more differentiated and specialized products, service creation and atmosphere production for excellent consumers group.

Research Consisting of Comparison of Character Contents through Collaboration (콜라보레이션을 통한 캐릭터 콘텐츠 비교 연구)

  • Im, Ri-Na;Kim, Seung-in
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.449-454
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    • 2016
  • Characters have been frequently used as a symbol or an icon in above the line advertising for generations. It has become an essential factor for companies to research about the experience that consumers have by engaging with the products that are partnered with famous or brand characters before introducing a product to the market. The character trademark has become more popular and interesting than the product itself. Therefore, products have become dependent on its character trademark. The ultimate purpose of this research is to find effective ways of increasing the value of the brand by observing various characters and how people interact with these characters, depending on the consumer's age, gender, and so forth. One would be able to collect data or information from documents as a method of this research and grasp different contents, components, concepts, and contexts of character collaboration and affiliate characters from well-known messengers, such as Kakaotalk and Line. In addition, by re-analyzing Peter Morville's Honeycomb tool, its method would set the scale of the user experience and one would be able to conduct interviews with those who are using collaboration products. This study reveals extensive guidelines for character partnership or collaboration that have been successful and creating effective marketing skills.

Trend Changes of Domestic Swimwear Design (국내 수영복의 디자인 트렌드 변화)

  • Kang, Sun-A;Cho, Ju-Yeon;Chung, Su-In
    • The Journal of the Korea Contents Association
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    • v.15 no.4
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    • pp.104-113
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    • 2015
  • Sports wear in relation to sports life is being developed in fashion industry with increasing leisure time. However, design development for swimwear including trend analysis is still required. In this research, we analyzed design trends in domestic social and cultural environment, and fashion design elements for the development for swimwear. We collected 9,549 picture images totally through 138 swimwear product catalogues in 1970s to 2014, and 8 web sites. We analyzed formative characteristics such as silhouettes, materials, colors, and textile designs. Because of the shorter cycle of social changes, and various trend, design changes of swimwear are getting diverse. Especially, color and textile design are remarkable. Also, new materials and printing technology make the design of swimming wear more comfortable and fashionable. This research would be a basic research for the design development of swimming wear.

The Promotion and Content Composition of Geotravel as a New Way of Tourism (새로운 관광수단으로서 지리여행의 콘텐츠 구성과 활용 방안)

  • Park, Jongkwan
    • Journal of the Korean Geographical Society
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    • v.50 no.1
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    • pp.53-71
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    • 2015
  • Geographical travel(Geotravel) is new theme tourism based on geographical fieldwork. Geotravel is an emotional journey to explore physical and human landscapes, and is also a comprehensive environmental one beyond the scope of historical tourism. Geotravel provides an optimized regional content and programs for experiential tourism of the family. Taking advantage of geographical characteristics as spatial tourism, the geotravel methodology in catchment unit is strongly recommended. The geotravel content has to be developed in convergence standpoint. The integrated key words of geotravel are human and water. Geotravel is a pattern of specialized edutainment tourism for the public and elementary, secondary school students as well. The development of geographical travel courses is necessary for the popularization of geotravel. Mobile apps will be the medium that delivers easy geographical travel information. And geotravel curator has to be raised quickly for the generalized easy and interesting geotravel.

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A Study on the Analysis of News Data for the Improvement of Local Flower Festival (지역 꽃 축제 개선사항 도출을 위한 뉴스 데이터 분석 연구)

  • Lee, Jeongwon;Lee, Choong Ho
    • Journal of Industrial Convergence
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    • v.17 no.4
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    • pp.33-38
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    • 2019
  • Regional tourism is an effective means of revitalizing the local economy and improving the image of the region. In order to revitalize this, efforts should be made to create regionally specialized tourism products and to preserve the unique culture and traditions. Among them, gathering information about visitors and securing the quality competitiveness of the contents of tourism contents are very important to increase the potential of cultural tourism festival. This paper collects, refines, and processes the festival-related data in a specific area in order to enhance the visitor's tourism needs and satisfaction. In particular, negative words and positive words raised during the festival were analyzed through big data visualization using word cloud.

기술혁신이 디지털 헬스케어 수용성에 미치는 영향 연구: 확장된 통합기술수용모델 기반 스마트워치 혁신기술 매개효과 중심

  • Jin, Ik-Seong;Lee, So-Yeong
    • 한국벤처창업학회:학술대회논문집
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    • 2022.11a
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    • pp.95-104
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    • 2022
  • 근래 지구온난화에 따른 자연재해의 증가와 장기 코로나19의 전염으로 사회적 비대면 필요성이 증대되면서 온라인을 통한 건강관리 및 의료 진단·처방 등 디지털 헬스케어의 필요성이 증대되고 있다. 디지털 헬스케어로 기존 병원 진료의 온라인 원격 진료/처방이 지속 증가하고 있을 뿐만 아니라 관련 빅데이터를 모아 개인 건강과 질병 상태 정보를 취합하여 건강 관리 및 치료를 하는 디지털 치료제 개발이 급속 진행되고 있으며 관련 벤처 창업도 활발히 진행되고 있다. 이러한 디지털 헬스케어, 디지털 치료제 산업의 활성화는 각 개인의 신체 상태를 상시 측정하고 이 정보를 관련 시스템과 연동 할 수 있는 웨어러블 디바이스, 특히 스마트워치의 보급 증대에 힘입은 바가 크다. 본 연구에서는 스마트워치의 기술혁신이 디지털 헬스케어의 수용성에 어떻게 영향을 미치는지 확장된 통합기술수용모델을 적용하여 분석하고, 혁신 사례로 스마트워치를 활용한 디지털 수면 치료제 벤처 개발 현황을 제시하였다. 본 연구를 통해 확인한 결과는 다음과 같다. 첫째 디지털 헬스케어 스마트워치의 개인혁신성, 효용가치, 사용편의 등 ICT 변인들에 대한 기술발전의 매개 영향은 유의한 것으로 나타났다. 둘째 ICT 변인들과 기술발전 매개변수는 디지털 헬스케에 스마트워치 수용의도에 대부분 정(+)의 영향을 미치는 것으로 확인되었다. 단 기술발전은 개인혁신성에는 크게 매개하지 않는 것으로 나타났다. 이러한 혁신기술의 디지털 헬스케어 스마트워치 수용의도 영향 평가 결과는 스마트워치 각종 서비스 상품기획과 마케팅에 유효하게 참조 할 수 있을 것으로 보이며 추후 세분화 연구를 통하여 더욱 소비자 특화된 제품과 서비스를 창출하는데 기여 할 수 있을 것으로 사료 된다.

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Development of a Resort's Cross-selling Prediction Model and Its Interpretation using SHAP (리조트 교차판매 예측모형 개발 및 SHAP을 이용한 해석)

  • Boram Kang;Hyunchul Ahn
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.195-204
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    • 2022
  • The tourism industry is facing a crisis due to the recent COVID-19 pandemic, and it is vital to improving profitability to overcome it. In situations such as COVID-19, it would be more efficient to sell additional products other than guest rooms to customers who have visited to increase the unit price rather than adopting an aggressive sales strategy to increase room occupancy to increase profits. Previous tourism studies have used machine learning techniques for demand forecasting, but there have been few studies on cross-selling forecasting. Also, in a broader sense, a resort is the same accommodation industry as a hotel. However, there is no study specialized in the resort industry, which is operated based on a membership system and has facilities suitable for lodging and cooking. Therefore, in this study, we propose a cross-selling prediction model using various machine learning techniques with an actual resort company's accommodation data. In addition, by applying the explainable artificial intelligence XAI(eXplainable AI) technique, we intend to interpret what factors affect cross-selling and confirm how they affect cross-selling through empirical analysis.

Analysis of consumers' needs and satisfaction related to food culture in Jeonju Hanok Village: Application of the Push-Pull factor theory (전주 한옥마을 음식문화에 대한 소비자 요구도 및 만족도 분석 : Push-Pull factor theory를 적용하여)

  • Na, Hee Ra;Park, Eun Ju;Yang, Soo Jin;Cha, Youn-Soo;Lee, Min A
    • Journal of Nutrition and Health
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    • v.50 no.2
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    • pp.192-200
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    • 2017
  • Purpose: The purposes of this study were to analyze visitors' food needs and identify the Push-Pull factor in Jeonju Hanok Village. Methods: A questionnaire was developed based on previous research to survey Korean adults who visited Jeonju city. A total of 580 questionnaires were used for the analysis. Results: Most of the subjects who visited Jeonju Hanok Village had food purchase experiences in Jeonju Hanok Village (96.4%). 'Traditional Korean food (26.5%)' was the most purchased food, followed by 'foreign food (25.8%)' and 'Korean food combined with foreign food (16.8%)'. Satisfaction of food purchases (3.35 points) was higher than average. The primary reason for satisfaction was 'the food is delicious (23.0%)', and the reason for dissatisfaction was 'the food is expensive (48.1%)'. In the push and pull factor analysis for identifying visit motivation, 'local food seeking', 'experience seeking', 'relaxation seeking', and 'friendship seeking' were push factors while 'traditional culture', 'facility convenience', 'experience activity', and 'food experience' were pull factors. There was a significant correlation between the push and pull factors. Regression analysis showed that all push factors influenced satisfaction. However, among pull factors, only 'food experience' and 'traditional culture' influenced satisfaction. Conclusion: In conclusion, this study indicates that food-related factors are destination characteristics (Pull factor) influencing intrinsic visit motivation (Push factor) and satisfaction. It is necessary to develop various food tourism products to satisfy visitors' needs and continuous visits in Jeonju Hanok Village. This study suggests the importance of research on food factors and provides useful basic data to establish positioning strategies for food cultural development in Jeonju Hanok Village.

The Korean Girl Group Kara's Differentiation Strategy Which Overcome the Trilemma and Led to the Great Reversal Success (삼중고 탈피 후 대역전의 성공을 이끈 걸 그룹'카라'의 차별화 전략)

  • Kim, Jeong-Seob
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.2
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    • pp.169-178
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    • 2021
  • The Korean girl group "Kara" has suffered the trilemma of its de facto failure to debut, the crisis of team breakup, and the CEO crisis of the agency. But the group has made an outstanding achievement in the history of Korean pop music after overcoming all odds. Their success strategy has never been disclosed by insiders involved in Kara's total music projects. This study has been carried out in the analysis of the strategy to provide academic implications and to honor the contribution of the late CEO Ho-yeon Lee and Kara's key member Ha-ra Gu. Therefore, between Nov. and Dec. 2020, we conducted in-depth interviews with managers, composers, stylists and Ha-ra Gu(Only in 2019, before her death) who took part in the project. The research model is set up by combining Porter's Competitive Advantage Strategy and the music value chain model into categories of "Product Innovation Differentiation (PD)" (producing, album production, performance activities) and "Marketing Differentiation (MD)" (market targeting, image specialization, promotion and communication). The analysis showed that the PD focused on complete rediscovered harmonization and revalued members' personality and sincerity with peppy songs and dainty dances as well as emission of "bright energy" which caused healing effects instead of mimicking other star singers recklessly. In terms of MD, they selected Japan's 10-20s as their main market, increasing intimacy with fans and media with the image of cute+pretty+classy+sexy. The result suggests that Poter's differentiation can function as a meaningful strategy frame in the fostering, hit, and revival of idol groups. In addition, it reaffirmed that spontaneous and passionate activities of early-stage or celebrity fan may serve as a valid catalyst for realizing differentiation, as Kara's caller of Japanese actor Gekidan Hitori caused a strong "priming effect" that drove Kara's unexpected wonderful success in Japan.

Selection of Optimal Variables for Clustering of Seoul using Genetic Algorithm (유전자 알고리즘을 이용한 서울시 군집화 최적 변수 선정)

  • Kim, Hyung Jin;Jung, Jae Hoon;Lee, Jung Bin;Kim, Sang Min;Heo, Joon
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.175-181
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    • 2014
  • Korean government proposed a new initiative 'government 3.0' with which the administration will open its dataset to the public before requests. City of Seoul is the front runner in disclosure of government data. If we know what kind of attributes are governing factors for any given segmentation, these outcomes can be applied to real world problems of marketing and business strategy, and administrative decision makings. However, with respect to city of Seoul, selection of optimal variables from the open dataset up to several thousands of attributes would require a humongous amount of computation time because it might require a combinatorial optimization while maximizing dissimilarity measures between clusters. In this study, we acquired 718 attribute dataset from Statistics Korea and conducted an analysis to select the most suitable variables, which differentiate Gangnam from other districts, using the Genetic algorithm and Dunn's index. Also, we utilized the Microsoft Azure cloud computing system to speed up the process time. As the result, the optimal 28 variables were finally selected, and the validation result showed that those 28 variables effectively group the Gangnam from other districts using the Ward's minimum variance and K-means algorithm.