• 한국인터넷방송통신학회논문지
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• 제18권5호
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• pp.245-250
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• 2018

인터넷을 기반으로 하는 스마트 미디어의 확산은 기존 미디어 사업의 비즈니스 모델에 큰 변화를 가져왔다. 이러한 변화는 미디어 현장의 직군별로 요구되는 핵심역량에도 영향을 미치고 있다. 본 연구는 미디어 현업 종사자를 대상으로 두 번의 포커스 그룹 인터뷰를 실시하여 미디어 현장에서 느끼는 변화, 직군별 요구되는 역량의 변화를 파악하고 이러한 변화에 대응할 수 있는 대학의 미디어 교육 방안을 고찰 하였다. 고전적인 커뮤니케이션 이론 교육에서 탈피하여 보다 대학은 현재 미디어 현장에서 요구되는 역량을 키워줄 수 있는 커리큘럼을 개발해야 한다. 향후 대학의 미디어 교육은 새로운 매체 환경에서 미디어와 관련된 여러 가지 이슈에 대한 종합적인 문제 해결 능력의 배양에 초점을 맞추어야 한다.

• ETRI Journal
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• 제37권5호
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• pp.1044-1054
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• 2015

The smart media (SM) industry has demonstrated that it has the characteristics to increase user innovative activities, enhance open innovativeness, and increase the segmentation of innovation value. This study introduces and evaluates an innovation system that reflects the characteristics of the SM industry. We categorize the SM industry into hardware, network, platform, and content industries and perform an AHP analysis (based on a survey of 96 experts) to evaluate the relative importance of the factors/factor groups affecting the creation of innovation. The results show that 'collaboration activity" is a more important factor than other innovation factor groups (financial support, R&D, policy environment, human resources) in the SM industry. The results also show that the important factors/factor groups differ by industry.

• 한국콘텐츠학회논문지
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• 제21권8호
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• pp.515-525
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• 2021

이 연구는 영유아들의 스마트 미디어 이용에 대한 담론이 어떻게 구성되어 있는지 살펴보고자 한다. '스마트미디어 노출=위험한 행위'라는 경고에도 불구하고, 아동의 스마트 미디어 과의존은 증가해왔다. 이러한 현상은 영유아들의 미디어 이용을 둘러싼 사회적 맥락을 살펴볼 필요성을 제기한다. 이 연구는 10개 일간지 및 경제지를 대상으로 2018년-20년에 생산된 기사를 분석했다. 그 결과, 영유아의 미디어 담론 형성의 핵심적인 발화주체는 관련 콘텐츠 생산자 및 플랫폼 운영자들이었다. 학계 및 시민단체, 부모를 중심으로 한 스마트 미디어의 부정적 영향에 대한 입장이 개진되었지만 산업계는 이러한 위험성 논의를 넘어 영유아의 스마트 미디어 이용에 긍정적 의미를 부여했다. 스마트 미디어는 자녀의 생활습관형성, 학습과 발달을 돕는 미디어, 자녀의 미디어 이용에 대한 부모의 통제권을 확보하도록 도와주는 안전한 미디어로 재정의 되었다. 자녀의 스마트 미디어 과의존을 유발하는 원인으로 거론되면서 비난과의 대상이자 문제해결의 주체였던 부모는 산업계의 서사 전략 속에서 돌봄 책임자이자 도움이 필요한 존재로 위치 지워졌다. 위험 담론 속에서 불완전한 돌봄의 방식으로 표상되었던 디지털 육아는 이제 최신 기술을 활용한, 부모들이 손쉽게 동원 가능한 육아 방식으로 규정되었다.

• 디지털산업정보학회논문지
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• 제8권2호
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• pp.189-198
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• 2012

The demand of smart phone that recently came into spotlight as a new media is sharply increasing not only in Korean market but also in worldwide market but the academic study on this is still in the beginning stage. Hence, it would be a well-timed topic for discussion to make a systematic investigation and analysis. The technology acceptance model used in this study as a theoretical frame can set various external factors in introduction of new information technology as variables. This study made an assumption that such external factors would influence on perceived usefulness, easiness and amusement and such perceived awareness would make an impact on user's satisfaction and repurchase intention. This study proposed an empirical model in order to find out the recommendations and repurchase intention for new media, smart phone. This study model was validated to be very effective model that can explain more concretely and systematically for repurchase of smart phone. In conclusion, this paper illustrates a paradigm shift in smart environment to smart device manufacturers under fierce competition in the world market as well as various analysis results on consumer's use patterns according to such paradigm shift, which shall be utilized as useful information when establishing a marketing strategy for smart phone.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.1-7
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• 2023

Since the first outbreak of COVID-19 in 2019, it has caused a huge blow to the restaurant industry. However, as social distancing was lifted as of April 2022, the restaurant industry gradually recovered, and as a result, interest in restaurant start-ups increased. Therefore, in this paper, big data analysis was conducted by selecting "restaurant start-up" as a key keyword through social media big data analysis using Textom and then conducting word frequency and CONCOR analysis. The collection period of keywords was selected from May 1, 2022 to May 23, 2023, after the lifting of social distancing due to COVID-19, and based on the analysis, the development of a restaurant start-up consulting chatbot service is proposed.

• 스마트미디어저널
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• 제12권8호
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• pp.18-25
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• 2023

2020년 발생한 코로나19는 전세계적으로 지속적인 피해를 미쳤으며, 특히 하늘길 봉쇄 및 외출 자제로 인해 스마트 관광산업은 경제적 직격탄을 맞았다. 해외여행과 국내여행이 크게 감소된 상황에서 계속되는 적자로 인해 휴업과 폐업을 하는 관광호텔들이 늘어나고 있는 상황이다. 따라서 본 연구에서는 행정안전부의 인허가 데이터를 수집한 후 시각화하여 관광숙박업의 운영 현황을 파악하였다. 머신러닝 분류 알고리즘을 적용하여 관광호텔의 생존 예측 모델을 구현하였고 앙상블 알고리즘을 활용하여 예측 모델의 성능을 최적화하였으며 5-Fold 교차검증으로 모델의 성능을 평가하였다. 관광호텔의 생존율이 다소 감소할 것으로 예측되었으나 실제 생존율을 코로나19 이전과 큰 차이를 보이지 않는 것으로 분석되었다. 본 논문의 호텔업 영업 상태 예측을 통해 관광숙박업 전체의 운영 가능성 및 발전 동향을 파악할 수 있는 근거로 활용할 수 있다.

• Journal of Multimedia Information System
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• 제6권4호
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• pp.197-202
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• 2019

Society advances through technology, and technology has changed many lifestyles. The need for food is varying, but the availability of food is constantly changing as trends in production change. Combining the food industry and technology, a robot that delivers food and also cooks it has been developed. The time has come for a combination of food content and technology to advance the restaurant industry. This study discusses the application of a recommended food content media providing system using a curation engine that recommends contents according to individual tastes and preferences for the convenience of those who use food contents, using artificial intelligence speakers. We discuss the technologies required to develop video contents optimized for AI speakers with screens and shapes, combined with inset top boxes.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.68-74
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• 2023

The food industry has been hit hard since the first outbreak of COVID-19 in 2019. However, as of April 2022, social distancing has been resolved and the restaurant industry has gradually recovered, interest in restaurant start-ups is increasing. Therefore, in this paper, 'restaurant start-up' was cited as a key keyword through social media big data analysis using TexTom, and word frequency and cone analysis were conducted for big data analysis. The keyword collection period was selected from May 1, 2022, when social distancing due to COVID-19 was lifted, to May 23, 2023, and based on this, a plan to develop chatbot services for restaurant start-ups was proposed. This paper was prepared in consideration of what to consider when starting a restaurant and a chatbot service that allows prospective restaurant founders to receive information more conveniently. Based on these analysis results, we expected to contribute to the process of developing chatbots for prospective restaurant founders in the future

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.247-253
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• 2020

It has emerged Food-content among various forms of 1-person media through social media. Food-content influencer also market products through 1-person media, generating revenue through increased views and subscribers of 1-person media. It also sells products through sponsorship. In general, there is a profit structure through 1-person media viewing, but research on how restaurant companies generate profits directly through food-content is insufficient. In addition, research on converting subscribers to consumers through food-contents is minimal. In this paper, we propose an experiential application system based on the behavior of food-content creators. The proposed system collects and categorizes food-content information, and maps between highly related words to organize into keyword categories. The ontology tag-based concept network applied to the proposed system connects representative information by pre-extracting/mapping information related to information requests among a wide range of data. This method maps relevant food-content information to provide the user with data collected/storage in the form of an application. The user uses the application while watching the food eaten by the influencer and creator. And, it is meaningful that the user could be provided is provided with information about the food they want to eat.