• Title/Summary/Keyword: Online business

Search Result 2,187, Processing Time 0.05 seconds

Development of Valuation Framework for Estimating the Market Value of Media Contents (미디어 콘텐츠의 시장가치 산정을 위한 가치평가 프레임워크 개발)

  • Sung, Tae-Eung;Park, Hyun-Woo
    • Journal of Service Research and Studies
    • /
    • v.6 no.3
    • /
    • pp.29-40
    • /
    • 2016
  • Since the late 20th century, there has been much effort to improve the market value of media contents which are commercialized in a digital format, by fusing digital data of video, audio, numerals, characters with IT technology together. Then by what criteria and methodologies could the market value for the drama "Sons of the Sun" or the animated film 'Frozen', often referred to in the meida, be estimated? In the circumstances there has been little or no research on the valuation framework of media contents and the status of their valuation system development to date, we propose a practical valuation models for various purposes such as contents trading, review of investment adequacy, etc., by formalizing and presenting a contents valuation framework for the four types of media of movies, online games, and broadcasting commercials, and animations. Therefore, we develope computational methods of cash flows which includes production cost by media content types, provide reference databases associated with key variables of valuation (economic life cycle, discount rates, contents contribution and royalty rates), and finally propose the valuation framework of media contents based on both income approach and relief-from-royalty method which has been applied to valuation of intangible assets so far.

A Trend Analysis and Policy proposal for the Work Permit System through Text Mining: Focusing on Text Mining and Social Network analysis (텍스트마이닝을 통한 고용허가제 트렌드 분석과 정책 제안 : 텍스트마이닝과 소셜네트워크 분석을 중심으로)

  • Ha, Jae-Been;Lee, Do-Eun
    • Journal of Convergence for Information Technology
    • /
    • v.11 no.9
    • /
    • pp.17-27
    • /
    • 2021
  • The aim of this research was to identify the issue of the work permit system and consciousness of the people on the system, and to suggest some ideas on the government policies on it. To achieve the aim of research, this research used text mining based on social data. This research collected 1,453,272 texts from 6,217 units of online documents which contained 'work permit system' from January to December, 2020 using Textom, and did text-mining and social network analysis. This research extracted 100 key words frequently mentioned from the analyses of data top-level key word frequency, and degree centrality analysis, and constituted job problem, importance of policy process, competitiveness in the respect of industries, and improvement of living conditions of foreign workers as major key words. In addition, through semantic network analysis, this research figured out major awareness like 'employment policy', and various kinds of ambient awareness like 'international cooperation', 'workers' human rights', 'law', 'recruitment of foreigners', 'corporate competitiveness', 'immigrant culture' and 'foreign workforce management'. Finally, this research suggested some ideas worth considering in establishing government policies on the work permit system and doing related researches.

A Study on the Characteristics of Blockchain-Based Financial Platform and the Intention to Use (블록체인 기반 금융 플랫폼 특성과 사용 의도에 관한 연구)

  • Lee, Sangho;Cho, Kwangmoon
    • Journal of Internet of Things and Convergence
    • /
    • v.7 no.3
    • /
    • pp.81-90
    • /
    • 2021
  • In this study, the effect of user characteristics and technical characteristics of a blockchain-based financial platform on the intention to use of financial consumers was analyzed. Also, in this influence relationship, we analyzed what kind of causal relationship between relative advantage and perceived risk on intention to use. From June 1 to July 30, 2021, a non-face-to-face self-filling online survey was conducted with a sample of subjects who had experience using a financial platform grafted with blockchain technology, and the study was conducted in 187 copies. For statistical processing, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, multiple regression analysis and 3-step mediated regression analysis were performed using SPSS 21.0 program. The significance level of the statistical value was set to less than 95%. The research results are as follows. First, it was found that innovativeness and usefulness affect the intention to use in the user characteristics. Second, in the technical characteristics, compatibility and reliability were found to affect the intention to use. Third, it was found that relative advantage and perceived risk play a partial mediating role in the relationship between user characteristics and intention to use. Fourth, it was found that relative advantage and perceived risk play a partial mediating role in the relationship between technical characteristics and intention to use. Fifth, it was found that there were differences in the ubiquity of user characteristics, compatibility of technical characteristics and intention to use according to the experience of using the certificate. The results of this study can contribute to the development of a financial platform based on the Internet of Things.

A Study on the Usage of Investigation of Google Cloud Data (Smartphone user-oriented) (구글 클라우드 데이터의 수사활용 방안에 관한 연구 (스마트폰 사용자 중심))

  • Kim, Dongho;Lee, Sangjin
    • Journal of Digital Forensics
    • /
    • v.12 no.3
    • /
    • pp.109-120
    • /
    • 2018
  • The smartphone is the communication device that is the most personal to the user, and it keeps a lot of information related to the user and makes information communication with other devices. With these characteristics, forensics on smartphones are one of the most basic methods of investigation in criminal investigations, and have actually contributed to the settlement of the case by providing many clues. However, recently, it is designed to encrypt data stored as a social issue related to the protection of user's personal information, or to delete deleted data or to delete log data together. So, any solutions? In this paper, I try to find the answer from cloud data stored by smartphone user account. Cloud forensics should approach complementary relationships rather than smartphone forensics. There are a lot of data stored in the cloud that can be meaningfully used in the investigation. Online activity information of users, such as Internet usage, YouTube view, and contents purchase information, cloud service such as e-mail, cloud drive, and location information are the most representative data. These data can be unvaluable, but here are some important clues in various types of criminal investigations. In this paper, I propose a method to extract data from the google cloud so that the data can be used for investigation, and to utilize the extracted data for investigation. And it explains the role of the extracted artifacts in the actual investigation business through virtual cases and proves its value.

An Analysis of Movie Consumption Behavior from Transaction Cost Perspectives (거래비용관점에서 본 영화 소비행위 분석)

  • Park, Hye Youn;Kim, Jai Beom;Lee, Chang Jin
    • Review of Culture and Economy
    • /
    • v.20 no.3
    • /
    • pp.3-33
    • /
    • 2017
  • The present study analyzed movie consumption behavior from the perspective of transaction cost, taking into account the possible incurrence of additional costs in the process of consumers obtaining movie information to choose movies. Regression and multinomial logistic regression analyses were performed in the analysis by taking movie information and the individuals' social demographic characteristics as independent variables and the number and frequency of movies watched as dependent variables, using information from the "2015 movie consumer survey." The results showed that consumers considering elements such as "directors" and "online reviews" were found to be more active in movie consumption. The analysis of movie-watching frequency showed that the information considered when choosing a movie was different for high- and low-frequency movie viewers. Putting these factors together suggests that movie consumption can vary according to an individual's cultural capital, preferences, and their degree of movie information awareness. While existing studies have mostly analyzed the determinants of box office performance, the significance of the present study is its empirical analysis of individual movie information in terms of transaction cost. Based on the results above, it can be inferred that the cyclical structure of trading expenses influences movie consumption and, once preferences are formed through a certain level of consumption, the trading cost expenses decrease, which results in increasing consumption. Therefore, film makers need to establish and execute marketing strategies that appropriately use movie information so that consumers can reduce the trading costs necessary for movie watching.

Study on the Type of Selecting Channels through the On-Line about Restaurant Information by Baby Boomer Consumers (베이비부머 소비자의 온라인을 통한 외식정보채널유형 선택에 관한 연구)

  • Choi, Soo Ji
    • 한국노년학
    • /
    • v.36 no.3
    • /
    • pp.711-726
    • /
    • 2016
  • The purpose of this study was to analyze to 1) the differences according to demographic characteristics 2) select the type-specific communities online channels of the baby boomer customers group, who ever search for restaurant information through on-line for the previous three months. The study was based on a total of 280 samples obtained from on-line networking service users in a metropolitan area from April 15 to 30, 2016. The major findings are as follows. The data were analysed using frequency, factor analysis, cluster analysis and ${\chi}^2test$. According to the results of factor analysis, on-line utilizing attributes were separated into three factors: commitment of useful information, activity of leading on-line, and habit. The based on a factor analysis, cluster analysis was adopted to segment baby boomer customers. The identified four clusters showed in using on-line: type of active utilization, habit, seeking information and passive utilization. The clusters had significant differences in gender and monthly income by demographics. All of four clusters selected blog, face book, twitter in turn through the personal on-line channels. Cluster type of active utilization and habit selected restaurant home pages, restaurant blog, restaurant face book, restaurant twitter in turn through the public on-line channels. Cluster type of seeking information and passively utilization selected restaurant home pages, restaurant blog, restaurant twitter, restaurant face book in turn through the public on-line channels. Implications and future research were also discussed.

A study on ICO-based fund investment (ICO 기반 자금 투자에 대한 연구)

  • Yoo, Soonduck
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.19 no.5
    • /
    • pp.25-32
    • /
    • 2019
  • The purpose of this study is to investigate how to make a proper investment in ICO in the market. Previously, companies used to borrow money from banks or to obtain investments from venture capital (VC) and angel investors, but now ICOs are used as a new type of funding and financing model. The ICO sells the tokens or coins created on the blockchain openly online to raise the necessary funds, and provides the market value by paying the tokens or coins as much as the investment amount. According to this study, the limitations of the ICO market are (1) difficulties in evaluating the company, (2) uncertainties in investments, (3) lack of legal safeguards, and (4) measures to secure corporate stability after recruitment. At present, there is no way to cope with this systematically since the ICO is not protected in the legal framework. Nevertheless, we investigated the ways to make proper investment in the existing ICO market. In investing in ICO, investors should (1) consider investment methods and profitability, and (2) verify and judge investment fraud through various channels (ex. Homepage, composition team profile, etc.) and make investments based on this. This study will contribute to the formation of a healthy ICO market by understanding the newly emerged ICO market and studying the considerations when investing in it, thereby contributing to the right investor training and reducing the mass production of consumer damages caused by fraud. The limitation of this study is that the domestic ICO has not yet been examined in the legal framework, so further research is needed when policy changes occur in the future.

The Recovery of the Deleted Certificate and the Detection of the Private-Key Encryption Password (삭제된 공인인증서의 복구 및 개인키 암호화 패스워드의 검출)

  • Choi, Youn-Sung;Lee, Young-Gyo;Lee, Yun-Ho;Park, Sang-Joon;Yang, Hyung-Kyu;Kim, Seung-Joo;Won, Dong-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.17 no.1
    • /
    • pp.41-55
    • /
    • 2007
  • The certificate is used to confirm and prove the user's identity in online finance and stocks business. A user's public key is stored in the certificate(for e.g., SignCert.der) and the private key, corresponding to public key, is stored in the private key file(for e.g., SignPri.key) after encryption using the password that he/she created for security. In this paper, we show that the certificate, deleted by the commercial certificate software, can be recovered without limitation using the commercial forensic tools. In addition, we explain the problem that the private key encryption password can be detected using the SignCert.der and the SignPri.key in off-line and propose the countermeasure about the problem.

Research Trends and Knowledge Structure of Digital Transformation in Fashion (패션 영역에서 디지털 전환 관련 연구동향 및 지식구조)

  • Choi, Yeong-Hyeon;Jeong, Jinha;Lee, Kyu-Hye
    • Journal of Digital Convergence
    • /
    • v.19 no.3
    • /
    • pp.319-329
    • /
    • 2021
  • This study aims to investigate Korean fashion-related research trends and knowledge structures on digital transformation through information-based approaches. Accordingly, we first identified the current status of the relevant research in Korean academic literature by year and journal; subsequently, we derived key research topics through network analysis, and then analyzed major research trends and knowledge structures by time. From 2010 to 2020, we collected 159 studies published on Korean academic platforms, cleansed data through Python 3.7, and measured centrality and network implementation through NodeXL 1.0.1. The results are as follows: first, related research has been actively conducted since 2016, mainly concentrated in clothing and art areas. Second, the online platform, AR/VR, appeared as the most frequently mentioned topic, and consumer psychological analysis, marketing strategy suggestion, and case analysis were used as the main research methods. Through clustering, major research contents for each sub-major of clothing were derived. Third, major subject by period was considered, which has, over time, changed from consumer-centered research to strategy suggestion, and design development research of platforms or services. This study contributes to enhancing insight into the fashion field on digital transformation, and can be used as a basic research to design research on related topics.

The Influences of Emotional Intelligence and Psychological Well-being at e-Sports Game on Life Satisfaction (정서지능과 e스포츠 게임에서의 심리적 웰빙이 삶의 만족도에 미치는 영향)

  • Lee, Hang;Kim, Joon-Hwan
    • Journal of Digital Convergence
    • /
    • v.20 no.4
    • /
    • pp.23-30
    • /
    • 2022
  • This study analyzed the effects of e-sports games on psychological well-being and life satisfaction of individuals by focusing on social and psychological aspects, recognizing e-sports games as subjective area activities based on psychological experiences as well as a means of leisure activities. To this end, 250 game users with actual experience in online games were analyzed using a structural equation modeling(SEM). The research results are as follows. First, except for other's emotion appraisal, which was a sub-factor of emotional intelligence of e-sports game users, self-emotional appraisal, use of emotion and regulation of emotion were found to have a significant positive effect on psychological well-being. Second, psychological well-being in e-sports games was found to have a significant positive relationship with life satisfaction, and psychological well-being was found to significantly mediate the relationship between emotional intelligence and life satisfaction. The findings of this study imply that managerial implications for related organizations as a platform that could support individual psychological well-being in a situation where the stress level of young adults as well as teenagers in a non-face-to-face environment is increasing.