• 대한지역사회영양학회지
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• 제21권5호
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• pp.440-450
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• 2016

Objectives: We previously developed a dish-based semi-quantitative food frequency questionnaire (FFQ) for Korean adolescents and reported that it had reasonable reliability and validity. The objective of the current study was to construct a web-based dietary evaluation system applying the FFQ for Korean adolescents and examine its applicability in the context of reliability and validity. Methods: A web-based food frequency questionnaire system was designed using a comprehensive approach, incorporating not only dietary data survey but also up-to-date nutrition information and individualized eating behavior guidelines. A convenience sample of 50 boys and girls aged 12~18 years agreed to participate in the study and completed the FFQ twice and 3 days of dietary recall on the developed website during a two-month period. The FFQ's reliability and validity was examined using correlation and cross classification analysis. We also measured participants' subjective levels of the web site's usability, visual effect, understanding, and familiarity. Results: Spearman correlation coefficients for reliability ranged from 0.74 (for vitamin A) to 0.94 (for energy). From cross-classification analyses, the proportion of subjects in the same intake quartile was highest for energy (82.0%) and lowest for vitamin A (56.0%). With regard to validity analysis, Spearman correlation coefficients ranged from 0.34 (for fiber) to 0.79 (for energy). The proportions of subjects in the opposite categories between the first FFQ and 3-day diet recall data were generally low from 0.00% (for fat) to 36.2% (for sodium). Average subjective levels of the website's usability, visual effect, understanding, and familiarity were all found to be over 4 points out of 5 points. Conclusions: The web-based dietary evaluation system developed can serve as a valid and attractive tool for administering FFQ to Korean adolescents.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.369-373
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• 2005

Virtual Communities are many and varied have been around for a number of years now. Cyworld has all the makings of a successful website, with its unique and profitable business model. Our purpose in studying Cyworld is two fold ; we want to know the motivations people have for using the service and why they are willing to pay to use it. This study is based on motivation theory and flow theory to enhance our understanding of Cyworld user's behavior.

• Asian Journal of Business Environment
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• 제4권3호
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• pp.5-12
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• 2014

Purpose - This study is aimed at examining Indian consumers' online shopping motivations, information search, and shopping intentions. The study intends to reveal the relationship between online shopping motivations, information search, and shopping intentions. Research design, data, and methodology - The study employs factor analysis to verify correct loading of items on corresponding factors, and to confirm the applicability of constructs in the Indian context. The model was verified using stepwise regression analysis. Results -The findings show that hedonic and utilitarian motivations significantly affect online information search and shopping intentions. The information search is a significant predictor of online purchase intention. Conclusions - Hedonic and utilitarian motivations are the salient factors affecting online information search and purchase intentions. Marketers are required to design websites that foster an enjoyable online experience. This will attract customers who will browse the website for a longer duration. More time devoted to information search will ensure brand building and loyalty.

• Asia pacific journal of information systems
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• 제30권2호
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• pp.252-283
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• 2020

Online retail is a growing opportunity for retailers and consumers. Cross-buying provides companies with an opportunity to increase their revenue contributions from existing consumers. In many fields, especially in the service sector, cross-selling is an easier strategy to use relative to increasing revenue rather than acquiring new consumers. Website personalization has been a powerful indispensable tool for web-based companies and end users. Using the Mehrabian and Russell's Stimulus-Organism-Response framework, we experimentally examined how an online retailing merchant's environmental stimuli (S) arouses internal affective and cognitive states (O), that affect consumers' approach-avoidance behavior (R) in cross-buying and shopping cart abandonment in online transactions.

• 정보처리학회논문지C
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• 제19C권3호
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• pp.185-190
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• 2012

최근 웹페이지를 통해 악성코드를 유포하는 공격 방법이 이용되면서, 인터넷을 이용하는 사용자들이 웹페이지에 접속하는 것만으로 악성코드에 감염되는 위험에 노출되어 있다. 특히 웹페이지를 통한 악성코드 유포 방법은 사용자가 인지하지 못하는 사이 악성코드를 다운로드하고 실행하게 된다. 본 논문에서는 기존의 분석서버를 이용한 탐지 방법의 한계점을 보완하기 위해, 사용자 영역에서의 실시간 행위 분석을 방법을 사용하여 정상적인 실행 흐름을 벗어난 비정상 다운로드 파일의 실행을 탐지하고 차단하는 시스템을 제안한다.

• 아태비즈니스연구
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• 제12권3호
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• pp.361-378
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• 2021

Purpose - The purpose of this study is to classify KOSPI listed companies according to their organizational character type based on MBTI. Design/methodology/approach - This study collected 109,989 reviews from an online firm review website, Jobplanet. Using these reviews and the descriptions about organizational character, we conducted document similarity analysis. Doc2Vec technique was hired for the analysis. Findings - First, there are more companies belonging to Extraversion(E), Intuition(N), Feeling(F), and Judging(J) than Introversion(I), Sensing(S), Thinking(T), and Perceiving(P) as organizational character types of MBTI. Second, more companies have EJ and EP as the behavior type and NT and NF as the decision-making type. Third, the top-3 organizational character type of which firms have among 16 types are ENTJ, ENFP, and ENFJ. Finally, companies belonging to the same industry group were found to have similar organizational character. Research implications or Originality - This study provides a noble way to measure organizational character type using firm review big data and document similarity analysis technique. The research results can be practically used for firms in their organizational diagnosis and organizational management, and are meaningful as a basic study for various future studies to empirically analyze the impact of organizational character.

• 한국항공운항학회지
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• 제30권4호
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• pp.45-56
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• 2022

Recently, the airport operator provides information such as real-time airport processing status, which allows users to determine the time to arrive at the airport at their own judgment. It is provided through their website and mobile Apps in order to resolve the customer's failure to board the aircraft and the inconvenience caused by waiting for the airport, etc. However, there was a lack of research cases on the intention of users to continue using such real-time airport information. Therefore, research on the field was studied by applying flow and trust theory based on human emotions. The research method verified reliability, validity, correlation between variables, and hypotheses using structural equations. As a result of the study, it was found that flow and trust had a significant effect on the intention to continue using. In other words, passengers were intended to continue to use the behavior they were searching for when they felt wise, enjoyable, and reliable etc.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.989-1003
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• 2021

With the recent increase in the types of services provided by Internet companies, collection of various types of data has become a necessity. Data collectors corresponding to web services profit by collecting users' data indiscriminately and providing it to the associated services. However, the data provider remains unaware of the manner in which the data are collected and used. Furthermore, the data collector of a web service consumes web resources by generating a large amount of web traffic. This traffic can damage servers by causing service outages. In this study, we propose a website search engine that employs a system that controls user information using blockchains and builds its database based on the recorded information. The system is divided into three parts: a collection section that uses proxy, a management section that uses blockchains, and a search engine that uses a built-in database. This structure allows data sovereigns to manage their data more transparently. Search engines that use blockchains do not use internet bots, and instead use the data generated by user behavior. This avoids generation of traffic from internet bots and can, thereby, contribute to creating a better web ecosystem.

• 한국학교ㆍ지역보건교육학회지
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• 제5권
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• pp.11-23
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• 2004

The purpose of this study was to analyze the internet usage patterns among adolescents and to provide basic data for the development of internet addiction prevention program. The subjects of this study were 1169 students in middle and high school students in Seoul, Korea. Self-administered questionnaires were employed and data were analysed by SPSS 12.0. Major conclusions were as follows: 1. Most of the students were found to be the normal internet users. On the other hand, potential risk group was 8.2% and high risk group was 4.7%. Every students have had an experience of inter use. The 90.6% of the students' households had internet links. The percentage of students who were using internet more than 3 hours a day was 25.7%, and The most popular type of website was entertainment. 2. Male students showed greater percentages of potential risk and high risk group than female students. The students having parents in divorce, remarriage and separation were more likely to be in potential risk group than those having normal parents. The staying alone in home after school and small sleeping time were positively related to high level of internet addiction. 3. The characteristics of the students in potential risk and high risk group were longer duration of the internet use, internet use through the whole week, frequent internet use late at night, frequent use of pornographic site, main purpose of internet use for entertainment and shortage of rest during internet use. This study results had an limitation of generalizing to entire Korean adolescents because the sample of this study was middle and high school students living in Seoul. Future study was needed for the analysis of internet use behavior of the entire Korean adolescents, and for the identification of the accurate predictors for adolescents' internet addiction.

• 정보보호학회논문지
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• 제31권6호
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• pp.1105-1114
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• 2021

최근 급상승한 암호 화폐의 인기로 인해 암호 화폐 채굴 악성코드인 크립토재킹 위협이 증가하고 있다. 특히 웹 기반 크립토재킹은 피해자가 웹 사이트에 접속만 하여도 피해자의 PC 자원을 사용해 암호 화폐를 채굴할 수 있으며 간단하게 채굴 스크립트만 추가하면 되기 때문에 공격이 쉽고 성능 열화와 고장의 원인이 된다. 크립토재킹은 피해자가 피해 상황을 인지하기 어렵기 때문에 크립토재킹을 효율적으로 탐지하고 차단할 수 있는 연구가 필요하다. 본 연구에서는 크립토재킹의 대표적인 감염 증상과 스크립트를 지표로 활용하여 효과적으로 크립토재킹을 탐지하는 프레임워크를 제안하고 평가한다. 제안한 크립토재킹 탐지 프레임워크에서 행위 기반 동적 분석 기법으로 컴퓨터 성능 지표를 학습한 K-Nearest Neighbors(KNN) 모델을 활용했고, 스크립트 유사도 기반 정적 분석 기법은 악성 스크립트 단어 빈도수를 학습한 K-means 모델을 크립토재킹 탐지에 활용했다. 실험 결과에 따르면 KNN 모델은 99.6%의 정확도를 보였고, K-means 모델은 정상 군집의 실루엣 계수가 0.61인 것을 확인하였다.