• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.332-341
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• 2023

Notable trends in the restaurant start-up market after the lifting of social distancing include increasing interest in start-ups, emphasizing the importance of food quality and diversity, decreasing the relative importance of delivery services, and increasing interest in certain industries. The data collection period is three years from April 2021 to May 2023, including before and after social distancing, and texts extracted from blogs, news, cafes, web documents, and intellectuals provided by Naver, Daum, and Google were collected. For the collected data, the top 30 words were derived through a refining process. In addition, based on April 2021, the application period of social distancing, data from April 2021 to April 2022, and data from May 2022 to May 2023, Through these changes in trends, founders can capture new opportunities in the market and develop start-up strategies. In conclusion, this paper provides important insights for founders in accurately understanding the changes in food service start-up trends and in developing strategies appropriate to the current market situation.

• 경영과학
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• 제32권3호
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• pp.91-103
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• 2015

This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.

• 보건행정학회지
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• 제27권3호
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• pp.241-246
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• 2017

Background: The purpose of this study is to investigate the trends on the induced abortion in Korea using social big-data and confirm whether there was time series trends and seasonal characteristics in induced abortion. Methods: From October 1, 2007 to October 24, 2016, we used Naver's data lab query, and the search word was 'induced abortion' in Korean. The average trend of each year was analyzed and the seasonality was analyzed using the cosinor model. Results: There was no significant changes in search volume of abortion during that period. Monthly search volume was the highest in May followed by the order of June and April. On the other hand, the lowest month was December followed by the order of January, and September. The cosinor analysis showed statistically significant seasonal variations (amplitude, 4.46; confidence interval, 1.46-7.47; p< 0.0036). The search volume for induced abortion gradually increased to the lowest point at the end of November and was the highest at the end of May and declined again from June. Conclusion: There has been no significant changes in induced abortion for the past nine years, and seasonal changes in induced abortion have been identified. Therefore, considering the seasonality of the intervention program for the prevention of induced abortion, it will be effective to concentrate on the induced abortion from March to May.

• 한국빅데이터학회지
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• 제3권1호
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• pp.21-32
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• 2018

현재 국내에서 서비스되고 있는 웹툰은 네이버, 다음 등 포탈을 중심으로 매우 빠른 성장을 보이고 있으며, 잠재적 시장성이 매우 높은 산업으로 촉망받고 있다. 웹툰의 특성 가장 두드러지는 특징은 다양한 요구를 가진 고객층을 대상으로 서비스를 제공할 수 있는 것이다. 이 때문에 국내뿐만 아니라 해외에서도 웹툰산업을 긍정적으로 판단하고 관련 산업 시장을 확충하고 있다. 이러한 현실은 국내 웹툰 작가 및 사업자로 하여금 웹툰을 기존의 k-pop이나 드라마 중심의 한류 컨텐츠와 더불어 새로운 한류 컨텐츠로 수출할 수 있는 기회를 제공한다. 성공적인 시장진출을 위해서는 수출 대상 국가의 소비자층에 대한 면밀한 분석이 요구된다. 본 논문에서는 네이버 웹툰에서 수집한 데이터의 분석을 통해 각 국가에서 서비스되는 웹툰과 해당 웹툰을 구독하는 소비자층에 대한 특성을 도출해보았다. 이를 통해 국가별로 웹툰 구독자의 선호도에 영향을 미치는 요소들을 빠르게 파악할 수 있을 것이다.

• 기술혁신학회지
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• 제16권4호
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• pp.1109-1133
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• 2013

신기술을 발견하고, 사회적 변화를 예측 설명하기 위해 여러 가지 형태의 기술 수명주기 모델이 개발되어 활용되어 왔는데, 그 중에서 가트너(Gartner)사가 소개한 기술 기대주기(hype cycle) 이론은 현장에서 자주 활용되고 있으며 그 효과를 인정받고 있다. 그러나 널리 통용되는 인기에 비해서 현재 연구 문헌에서는 이론적 프레임과 관계 및 실증에 대한 고려가 부족했다. 본 연구에서는 이런 기대주기모델의 새로운 실증적 측정 방법으로 제시된 웹 검색트래픽을 활용해 국내와 해외의 기대주기를 비교했다. 기존 연구에서 특정 제품이나 특정 국가에만 한정되었던 기대주기 분석을 검색트래픽을 활용해 비교 분석을 시도했다. 먼저 동일 제품에 대한 국가간 기대주기의 차이를 확인하기 위하여 검색트래픽과 신차판매점유율을 비교했는데, 국가간 기대주기의 유사성을 확인했으며, 통계적인 유의미성도 확인했다. 다음으로 동일 국간에서 제품간 기대주기의 차이를 확인하기 위하여 검색트래픽과 보급률을 비교해 보았는데, 역시 버블기의 정점 시기라는 측면에서 제품간 기대주기의 유사성도 확인했다. 본 연구는 검색트래픽을 활용한 사회현상 설명이나 기대주기 모델의 객관성과 설명력을 높이는데 크게 기여할 수 있으며, 나아가 마케팅 전략 수립과 같은 실질적인 기업전략 수립에까지 기여할 수 있을 것으로 판단된다.

• 한국정보시스템학회지:정보시스템연구
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• 제26권3호
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• 한국의상디자인학회지
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• 제20권3호
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• pp.27-32
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• 2018

Hanbok is a our own history and tradition and is an icon of Korean history and culture. Today, the costumes are moving around the world fashion trend due to the development of mass media and internet at the same time. This is an important clue to marketing activities and can be used for predictive analysis. Although Hanbok is changing little by little every year, research on the trend of Hanbok is rare. This study analyzed the results of searching for 'Hanbok' as a keyword in Portal Site Naver and posting a customized purchase of Hanbok for marriage between 2016 and 2017. The analysis was based on analyzing the photos uploaded, and analyzing purchase reason in the On-line review. Most buyer of Hanbok purchased for prepare marriage. The choice of a customized hanbok is mostly to search online or to use the fair. The most important factor in choosing a custom Hanbok that appeared in online reviews is color and then price. The color of the jacket is mostly light color and the off-white color is the most used and the long skirt such as the pink system, the chorale system and the red system, and it can be seen that the pink skirt is overwhelmingly large. In the design of Hanbok, The sleeves were straight and narrow, and the length was the chest line. The collar were enlarged and widened. 고름 used the sole color instead of the jacket and skirt color, and it was narrow not long. skirt's pleats was wide, and designed to overlap with double color of the fabric.

• 대한예방한의학회지
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• 제15권2호
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• pp.131-143
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• 2011

Objective : The aims of this study are to investigate the trend of internet journalism about the toxicity and safety of the herbal medicine, and to suggest the regulatory solution of the issue. Method : In this study, we had searched the internet news article published from 2001 to 2011 in the five major portal sites-NAVER, DAUM, Nate, Google Korean, and Yahoo Korean. The search terms were 'herbal medicine', 'adverse event', 'toxicity'. If the articles described the same event in the same form and tone, the articles were considered overlapping. The overlapped articles were excluded. The articles were categorized by the form and tone. The form categories were straight news, interpretative story, editorial, interview, and the tone categories are the positive, the negative, and the neutral. The regulations were searched about the negative issue. Result : Total 56 articles were reviewed. There were 19 positive articles, 29 negative articles, 8 neutral articles. Most negative issues have the proper regulations, but insufficient measures for the adverse event reporting system. Conclusion : The herbal medicine specified adverse event reporting system is essential.

• 한국콘텐츠학회논문지
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• 제20권12호
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• pp.23-35
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• 2020

본 연구는 산업과 사회 전반에 걸쳐서 많은 영향을 미칠 사물인터넷에 관한 국내 논문들을 수집하고 분석하여 사물인터넷 분야의 동향을 살펴보고자 한다. 본 연구를 위한 조사 기간은 2015년에서 2019년까지로 하였으며 네이버의 학술정보를 이용하여 사물인터넷에 관한 국내 논문들을 수집하였다. 기간별로 수집된 국내 논문으로부터 빈도가 높은 키워드들을 추출하였으며 빈도가 높은 키워드 중에서 중심적인 키워드를 파악하기 위해서 중심성 분석을 하였다. 키워드 빈도에서는 2015년부터 2017년까지는 '센서', '보안' 그리고 2017년부터는 '차', '지능'이 빈도가 높은 상위 키워드로 나타났다. 키워드 중심성에서는 2015년부터 2016년까지 '보안', '센서' 그리고 2017년부터는 '지능', '차', '산업혁명'이 중심성이 높은 키워드로 나타났다.

• 인간식물환경학회지
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• 제22권5호
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• pp.455-466
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• 2019

This study was carried out to analyze trends in floral products and services through the big data analysis of various social networking services (SNSs) and then to provide objective marketing directions for the floricultural industry. To analyze the big data of SNSs, we used four analytical methods: Cotton Trend (Social Matrix), Naver Big Data Lab, Instagram Big Data Analysis, and YouTube Big Data Analysis. The results of the big data analysis showed that SNS users paid positive attention to flower one-day classes that can satisfy their needs for direct experiences. Consumers of floral products and services had their favorite designs in mind and purchased floral products very actively. The demand for flower items such as bouquets, wreaths, flower baskets, large bouquets, orchids, flower boxes, wedding bouquets, and potted plants was very high, and cut flowers such as roses, tulips, and freesia were most popular as of June 1, 2019. By gender of consumers, females (68%) purchased more flower products through SNSs than males (32%). Consumers preferred mobile devices (90%) for online access compared to personal computers (PCs; 10%) and frequently searched flower-related words from February to May for the past three years from 2016 to 2018. In the aspect of design, they preferred natural style to formal style. In conclusion, future marketing activities in the floricultural industry need to be focused on social networks based on the results of big data analysis of popular SNSs. Florists need to provide consumers with the floricultural products and services that meet the trends and to blend them with their own sensitivity. It is also needed to select SNS media suitable for each gender and age group and to apply effective marketing methods to each target.