• 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.

• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.1-22
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• 2018

The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.

• Journal of Korea Trade
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• v.25 no.2
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• pp.75-94
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• 2021

Purpose - This article will take the Korean manufacturing industry as an example to estimate Korea's global value chain status from the perspective of overall and sub-industry, hoping to provide a theoretical reference for Korean manufacturing to climb the global value chain. Design/methodology - Based on the WIOD data. The data is calculated by using MATLAB (2014a) coding. The data for 6 sectors are classified according to the International Standard Industrial Classification revision 3 (ISIC Rev. 3), the WIOD data are used to calculate and compare the position, participation and dynamics of the Korea, China and USA' manufacturing industry in the 1995-2016. Findings - The empirical results supported conclusions of the theoretical model. In the Korean GVC of electrical and optical sector, while stronger forward linkages than backward linkages to GVC are advantageous for an average advanced country, the benefits of downstream tasks are pronounced for non-advanced countries. And proved the correlation for an index to capture a country's upstream position or downstream position, it makes sense to compare that Korea's exports of intermediates in the same sector that are used by China and USA. Originality/value - The first is to re-examine the characteristics of South Korea's participation in global value chains under a more systematic and accurate theoretical framework, which provides a new empirical reference for related research; the second is to content covers of the manufacturing 6 sectors, so as to more completely describe the characteristics of Korean manufacturing's participation in global value chains; The value of this paper is providing empirical evidence of the effect of Korea's the GVC of manufacturing sectors. In the GVC of 6 sectors, first three have a higher position in the value chain and are in the upper middle and upper reaches of the GVC. The latter two have a low GVC position index, which has become the main sector that pulls down the overall position of Korea's manufacturing industry.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.184-192
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• 2009

CT(Culture Technology) became one of the leading industries with fast growth in its contribution to an economy not only in Korea, but also in the world. This study suggests policy direction and priority of CT in the perspective of technology standardization and its classification. As a result, this study proposes a new 'CT Classification' using the value chain concepts contrary to previous classification. In addition, we suggest standardization priority, especially, in the sectors of 'CT Distribution/Service', 'CT Marketing', 'General CT management' based on our survey research of production side. Consequently, our research suggests an important strategic bases for decision makers in CT policy and development both government and private sectors.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.4
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• pp.421-428
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• 2011

It is challenging to survey the size and economical value of geospatial industry, because of the vagueness of the industry range. This study suggested a proposed method for the classification of geospatial industry based on Korea Standard Industry Classification, Th proposed method for the classification considered the value added chain of geospatial industry and Korean Standard Industry Classification, Theses considerations reflected characteristics of geospatial industry, Industrial statistics of geospatial industry are expected to be surveyed based on the classification proposed by this study,

• Journal of the Korea Safety Management & Science
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• v.3 no.1
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• pp.45-56
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• 2001

In the supply chain, The ATP function doesn't only give customers to confirmation of delivery. It can be used by the core function with ATP rule that can reconcile supplies and demands on the supply chain. Therefore We can acquire the conformation about accuracy on the due date of supplier by using the ATP function of management about real and concurrent access on the supply chain, also can decide the affect about product availability due to forecasting or customer's orders through the ATP. This study analyze the data concerned with ATP and define the necessity on a SCM solution. Under the these environments, after defining the ATP rule that can improve the customer value and data flow related the CRM, we propose the advanced ATP model that proposes the method and classification system that can flexibly aggregate the ATP data with ATP rule on the supply chain.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.41-57
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• 2023

Purpose - The purpose of this study is to research how the different types of experiences affect consumer's recognition in terms of luxury vintage fashion products, and what kinds of value consumer can achieve. Design/methodology/approach - The study is based on the means-end chain (MEC) approach for an in-depth understanding of consumers' recognition systems through conducting the laddering interview technique. Above all, the research conducted a pilot test to gain attributes of consumer experiences about luxury vintage fashion products from Korean and Taiwanese. Findings - It is found that not only by actual purchase, experience without purchasing also can lead to consumers' self-fulfilment and self-accomplishment, which filled the lack of relevant literature in the luxury vintage industry. In addition, the study sorted out the channels that consumers approach LVF products, which provide a classification reference for future research related to the luxury vintage consumer. Research implications or originality - As consumers can gain a lot kind of value through LVF products, luxury brands can attract consumers by using vintage as a market strategy. For luxury marketers, by running LVF shopping mall online or opening LVF stores, not only allow consumers' attach with LVF products but also can further lead to the purchase behaviors. In addition, consumers who are interested in LVF are those who are aware of the authenticity, uniqueness, and rarity of the brand. Due the fact, these consumers may be interested in the topic of sustainability.

• The Korean Journal of Franchise Management
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• v.6 no.2
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• pp.87-104
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• 2015

This study, based on theoretical and practical understanding of franchising, aims to conceptualize franchising in terms of marketing mix and proposes new paradigm of franchising. New schema of the franchise marketing mix involves both customer gap and franchisee gap by including customer and franchisee contacts and sets activities that include components of franchise system as the factor of marketing mix. So we could suggest the franchise marketing mix, '4F' by introducing conventional marketing mix concept into this assumption. The 4F schema consist of four sub-dimensions: 'Format', 'Fee & Royalty', 'Franchising Process', and 'Franchise Communication', which correspond to '4P'. In perspective of marketing mix, we could divide the franchise system into primary activity and support activity, then we also could categorize the fundamental activity into four-classification system, 4F schema. We expect that franchise marketing mix, 4F can be useful both theoretically and practically as it not only is not too different from the conventional marketing mix, but it also proposes franchise value chain by including unique characteristics and contents of the franchise system.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.183-190
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• 2013

In this study, we propose a new CT classification system which is essential factor for strengthening competitiveness of culture contents and technical assistance of convergence contents. For this, we drew particularity of culture contents by reviewing concept and current state of CT. And also we drew problems of existing CT classification systems and implications for applying to future CT classification system by systematic analysis of existing CT classification systems. Through this series of process we developed a new CT classification system applied particularity of culture contents. The suggested CT classification system can embrace all kind of technologies related to all steps of value chain-planning, manufacturing/production, distribution, service- of culture contents. And it has significance having flexibility for government investigation and applying the law and more realistic for industrial site by restructuring of middle classification level.