• KSII Transactions on Internet and Information Systems (TIIS)
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• v.3 no.2
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• pp.163-177
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• 2009

The demand for services using digital technology is constantly increasing as new developments in digital consumer electronics and the Internet are made. This is especially true in terms of the demand for IPTV utilizing high speed Internet networks. Research on IPTV threats is important for facilitating financial transactions via IPTV and preventing illegal use or copying of digital content. Thus, this paper analyzes IPTV threats via the IPTV value chain. That is, the distribution system for IPTV service is analyzed along with the components of the value chain and corresponding IPTV security requirements or security technologies, in order to perform a threat analysis and research suitable for the IPTV service environment. This paper has a greater focus on the value chain of the IPTV business than the approach in previous research, in order to analyze security requirements and technologies that are more applicable to the business environment.

• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.241-253
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• 2008

UCC(User Created Content) has brought about much change in the way Internet users produce, publish, and share digital content. That means that Internet users are participating in the UCC service much mure voluntarily, and interacting each other mure proactively to meet their social-psychological needs such as self-expression, social presence and so on. Also, there has been the sharp increase in variety and volume of digital content on Internet. The reasons why are that UCC enables Internet users to produce and publish their own content with much low cost, and lowers the entrance barriers to the digital content market. Like this, UCC causes the unbundling of the value chain of digital content, resulting in the high uncertainty and complexity, and then leading to the low healthiness of UCC value chain in terms of productivity, robustness, niche creation, and safety. Thus, this paper is to identify the status and problems of UCC value chain and present the way how to enhance the healthiness of UCC value chain more comprehensively and systematically.

• Information Systems Review
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• v.6 no.2
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• pp.79-94
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• 2004

The Internet is now an ubiquitous technology in business and possesses the potential to make the concept of value chain into an attainable reality. We posit that the way the Internet is utilized, the extent of the Internet's impact on business performance, and the extent the firms are prepared to take advantage of the Internet varies from country to country and from industry to industry. Based on data collected from 54 firms in the U.S. and 135 in South Korea, we compared the two countries (U.S. and South Korea) and two major industry groups (manufacturing and service) regarding the pattern of Internet utilization on the Internet from a value chain perspective. The findings show that U.S. companies utilize the Internet more extensively in such areas as human resources management, automation, sales, and advertising than the South Korean counterparts. However, we did not find a statistically significant difference in the way the two countries use the Internet within a value chain model. We also compared Internet practices by industry sector (i.e., service vs. manufacturing) within each country. The results show that firms in the service sector tend to use the Internet more extensively than the manufacturing counterparts in both countries. Particularly in Korea the difference between the sectors was significant in the extent to which they utilized the Internet to support such business activities as inter-organizational alliance, communication, and marketing.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.49-66
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• 2018

This research explores a value chain structure of VR-AR media including user's perception, uses, and evaluation. The purpose of this research focused on factor analysis and the relationship among user's VR-AR adoption motivations and utilities. This research explores correlation between personal value and using motivation. This study was to identify the value structure of respondent on VR-AR usages based on means-end chain theory. The research used structured APT laddering questions and 251 data was analysed. Through such analysis, category difference by stage and relationship difference were identified and hierarchical value map was compared. There are four different value ladders: first is attributes, functional consequences, psychological consequences, and final value. This study is based on the analysis of the value chain structure factors that affect VR and AR use behavior (attributes, functional benefits, psychological benefits, use value), 'Hierarchical Value Map' between users' The purpose of the model is to construct a model. For this, 'means-end chain theory' was applied to measure the causal relationship between personal value and VR related use behavior. In order to solve this research problem, 135 people were analyzed through the structured questionnaire using the AR and VR content fitness measure and the second APT laddering, and the use of VR-AR : 1) Functional benefits; 2) Psychological benefits; 3) Means to reach value, 4) Objective value chain structure was identified. The results show that VR users tried to smooth the social life through the new virtual reality audiovisual element, the newness of experience, fun, and pleasure through the departure of reality, vividness of experience, and leading fashion. The AR fitness was a game and a new program, and the value of interacting with other people and the value of 'periwinkle' played an important role through the vividness and peripheral interaction of AR, It was an important choice. The important basic values of users' VR and AR selection were correlated with psychological attributes of interaction with others, achievement, happiness and favorable values.

• Journal of Information Processing Systems
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• v.20 no.2
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• pp.215-225
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• 2024

With the rapid development of Internet of Things (IoT) and big data technology, a large amount of data will be generated during the operation of related industries. How to classify the generated data accurately has become the core of research on data mining and processing in IoT industry chain. This study constructs a classification model of IoT industry chain based on improved random forest algorithm and text analysis, aiming to achieve efficient and accurate classification of IoT industry chain big data by improving traditional algorithms. The accuracy, precision, recall, and AUC value size of the traditional Random Forest algorithm and the algorithm used in the paper are compared on different datasets. The experimental results show that the algorithm model used in this paper has better performance on different datasets, and the accuracy and recall performance on four datasets are better than the traditional algorithm, and the accuracy performance on two datasets, P-I Diabetes and Loan Default, is better than the random forest model, and its final data classification results are better. Through the construction of this model, we can accurately classify the massive data generated in the IoT industry chain, thus providing more research value for the data mining and processing technology of the IoT industry chain.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1887-1898
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• 2018

In this paper, a method to classify insider threat activity is introduced. The internal threats help detecting anomalous activity in the procedure performed by the user in an organization. When an anomalous value deviating from the overall behavior is displayed, we consider it as an inside threat for classification as an inside intimidator. To solve the situation, Markov Chain Model is employed. The Markov Chain Model shows the next state value through an arbitrary variable affected by the previous event. Similarly, the current activity can also be predicted based on the previous activity for the insider threat activity. A method was studied where the change items for such state are defined by a transition probability, and classified as detection of anomaly of the inside threat through values for a probability variable. We use the properties of the Markov chains to list the behavior of the user over time and to classify which state they belong to. Sequential data sets were generated according to the influence of n occurrences of Markov attribute and classified by machine learning algorithm. In the experiment, only 15% of the Cert: insider threat dataset was applied, and the result was 97% accuracy except for NaiveBayes. As a result of our research, it was confirmed that the Markov Chain Model can classify insider threats and can be fully utilized for user behavior classification.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.1
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• pp.107-130
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• 2005

The purpose of this study were to examine the spatial distribution and locational characteristics of the Internet movie industry, to seize the value chains of the Internet movie industry and distribution structure of the internet movies, and to analyze the vertical-horizontal linkages of the Internet movie firms and their spatial clustering. Recently, the Internet movie industry has developed rapidly due to the development of techniques related to movie contents, the broadband Internet and a wide expansion of the high speed communication network and the increase of demands on movie contents. It has been found that 74$\%$ of the Internet movie industry was concentrated in Seoul. Especially this industry was quite agglomerated in several dongs of Gangnam-gu such as Yoeksam, Nonhyeon, Daechi and Samseung. The proximity of the same or similar business firms was the primary locational factors that influenced on the Internet movie industry, followed by other factors such as convenience of transportation, the reputation of the place, and proximity of technically supporting firms. The Internet movie industry had the valve chain composed of 'contents suppliers $\rightarrow$ contents distributors $\rightarrow$ service providers', However, there were also a complex network of the VOD copyright owner, VOD syndicator, and service providers in each category of the value chain. This research clearly revealed that the localized clustering has been formed with the movie contents providers, technically supporting firms, client firms, and cooperative-affiliated business firms related to the Internet movie industry, Additionally, a very intimate network has been established within the clustering, inducing the enlargement of the market and decrease of costs, the co-sharing of tacit knowledge, and the synergy effect.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.218-223
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• 2021

The five elements of big data are said to be Volume, Variety, Velocity, Veracity, and Value. Among them, data lacking the Veracity of the data or fake data not only makes an error in decision making, but also hinders the creation of value. This study analyzed YouTube's revenue structure to focus the effect of data integrity on data valuation among these five factors. YouTube is one of the OTT service platforms, and due to COVID-19 in 2020, YouTube creators have emerged as a new profession. Among the revenue-generating models provided by YouTube, the process of generating advertising revenue based on click-based playback was analyzed. And, analyzed the process of subtracting the profits generated from invalid activities that not the clicks due to viewers' pure interests, then paying the final revenue. The invalid activity in YouTube's revenue structure is Raw Data, not pure viewing activity of viewers, and it was confirmed a direct impact on revenue generation. Through the analysis of this process, the new Data Value Chain was proposed.

• Agribusiness and Information Management
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• v.5 no.1
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• pp.1-10
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• 2013

Competition in supply chain has moved from between being organizations to between supply chain. To enhance competitiveness in supply chain, there is a need for organisations to establish and manage collaborative relationships among supply chain partners and share operational and strategic information timely and accurately. As a result, food supply chain partners have adopted of inter organisational information systems (IOIS) such as EDI, IEDI, RFID, internet, and extranets to facilitate exchange of information, streamline production and to effectively manage inventory processes so as to deliver value to the customer. Together with IOIS, cybermediaries also plays a key role in facilitating agriculture and food supply chain. This paper investigates the role and significance of IOIS and cybermediaries in facilitating agriculture and food supply chain. Convergent interviewing was conducted with agriculture producers, food processors and retailers. The study identified logistics, supply chain and customer services benefits perceived from implementing IOIS and utilising cybermediaries services in the food supply chain. To conclude the conceptual paper outlined managerial implications and areas for future research.

• Korean Management Science Review
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• v.17 no.3
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• pp.31-47
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• 2000

The widespread diffusion of Internet has enables companies to conduct business in quite a different way. marketing on the Internet becomes more important as firms adopt electronic commerce as a means to implement competitive strategies. One hundred and four BC shopping mall companies responded to an e-mail and web server survey about the anticipated benefits of electronic commerce and related strategies. The survey also asked about improvements in value chain activities and impediments to the implementation of electronic commerce in Korea. The results indicated that Korean shopping mall companies followed differentiation strategy significantly more than the other two strategies. In addition, six benefits factors were drawn from this study - information, productivity, cost savings, customers, management information, and applications. Productivity factor was related to cost leadership strategy, and customers factor was related with cost leadership, differentiation and focus strategies. Several benefits factors were also correlated with value chain activity improvements. The results of this study were compared with those of research conducted in the United States.