• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.245-250
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• 2018

The diffusion of smart media based on Internet has brought great changes on existing media business model. This changes also affect the core competence of jobs in media industry. This study performed two focus group interviews among professionals in media industry. The interviews examined the changes that media professionals recognize in the field and requirement changes to meet the job core competence. The interviews also examined the media education method in university that can respond to the changes in the media industry. Breaking away from the classical theory oriented education, university should develop the curriculum that can support competence required in the media industry. Media education in university should focus on fostering problem solving ability that can work regarding various issues in new media environment.

• ETRI Journal
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• v.37 no.5
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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.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.515-525
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• 2021

The study examines how the discourse on infants' smart media use has been constructed under media-saturated situations. Infants' use of smart media has been regarded as a dangerous activity, rate of overdependence has been increasing. Newspapers during the recent three years (2018-20) were analyzed. The most prominent speakers in the news field were smart media content producers and platform operators. There were negative views and concerns about infants' smart media use by academics, civic groups, and parents. However, the industry went beyond these risk discourses and gave positive meaning: Smart media was redefined as safe media for infants and reliable childcare helpers for parents. Parents were portrayed as those responsible for their children's media use and in need of help for childcare, rather than being blamed for their children's overdependence on smart media. Digital parenting seems to be emerging as an acceptable and practicable way of childcare rather than harmful and incomplete parenting.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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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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• v.10 no.4
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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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• v.15 no.3
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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.

• Smart Media Journal
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• v.12 no.8
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• pp.18-25
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• 2023

The COVID-19 outbreak in 2020 caused continuous damage worldwode, especially the smart tourism industry was hit directly by the blockade of sky roads and restriction of going out. At a time when overseas travel and domestic travel have decreased significantly, the number of tourist hotels that are colsed and closed due to the continued deficit is increasing. Therefore, in this study, licensing data from the Ministry of Public Administraion and Security were collected and visualized to understand the operation status of the tourism and lodging industry. The machine learning classification algorithm was applied to implement the business status prediction model of the tourist hotel, the performance of the prediction model was optimized using the ensemble algorithm, and the performance of the model was evaluated through 5-Fold cross-validation. It was predicted that the survival rate of tourist hotels would decrease somewhat, but the actual survival rate was analyzed to be no different from before COVID-19. Through the prediction of the business status of the hotel industry in this paper, it can be used as a basis for grasping the operability and development trends of the entire tourism and lodging industry.

• Journal of Multimedia Information System
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• v.6 no.4
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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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• v.12 no.3
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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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• v.8 no.3
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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.