• Title/Summary/Keyword: Market information acquisition

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디지털시장의 시장구조와 제품판매방식

  • 최동수
    • Journal of Technology Innovation
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    • v.10 no.2
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    • pp.107-129
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    • 2002
  • Expansion and enhancement of information and communication infrastructure can create a market closer to an ideal type for a perfect competition, utilizing a cyber space in the network (with the expanded usage of Internet and e-commerce) and it could be a market of a monopolistic form. The government can take one of the two approaches responding to this monopolization of the digital market. First, the government maintains laissez-faire policy since the monopoly cannot be maintained over a long period of time due to an increasing in the production, decrease in the price, profit resulting from this and rapid technology evolution. Second, the government can actively interrupt the monopolization of the digital market. Monopolization in a digital market can lead to a market failure. Unstable market structure and too much frequent merger and acquisition contribute to making the digital market very dynamic. Information goods exchanged in the digital market have the features of very low marginal cost required to copy the original product whereas its initial fixed cost is very high. This explains why the information products are not priced based on the existing marginal price determination principles and why companies producing them have various product sales strategies (price/product differentiation strategy, and other sales strategies).

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A comparative legal study on the relaxation of restrictions at the acquisition of own stock in enterprise (기업의 자기주식취득제한 완화에 관한 비교법적 연구)

  • Choi, Yong-Choon
    • The Journal of Information Technology
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    • v.8 no.3
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    • pp.57-71
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    • 2005
  • This thesis is to explore the relaxation of restrictions at the acquisition of own stock, and to get the results from this system many countries' legislations were alluded as model cases for Korean system. In comparing with America, Japan, Europe(EC 2nd Commercial Law), and England, the final suggestion for Korean companies law as follows: The solution of problems which is derived from the acquisition at own stock in enterprise is to make the optimum situation for the economic development and stability of stock market. So, to solve these problems needs the relaxation of restrictions for this system and by the relaxation of restrictions can get the distribution of its profit to stockholder, and the compensation for employers and employees. Furthermore, through this system the company can achieve the protection against M&A and the supply of company funds. In conclusion the relaxation of restrictions at the acquisition of own stock is acknowledged the necessity, but the problems that would be followed must be necessarily minimized, and to do so, the legal system has to be molded for this purpose and the its procedure(that is, accounting deal of own stock, the fictitious dividend, and non-appliance of tendency control) has to be prior to the legal system.

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Splitting Algorithm Using Total Information Gain for a Market Segmentation Problem

  • Kim, Jae-Kyeong;Kim, Chang-Kwon;Kim, Soung-Hie
    • Journal of the Korean Operations Research and Management Science Society
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    • v.18 no.2
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    • pp.183-203
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    • 1993
  • One of the most difficult and time-consuming stages in the development of the knowledge-based system is a knowledge acquisition. A splitting algorithm is developed to infer a rule-tree which can be converted to a rule-typed knowledge. A market segmentation may be performed in order to establish market strategy suitable to each market segment. As the sales data of a product market is probabilistic and noisy, it becomes necessary to prune the rule-tree-at an acceptable level while generating a rule-tree. A splitting algorithm is developed using the pruning measure based on a total amount of information gain and the measure of existing algorithms. A user can easily adjust the size of the resulting rule-tree according to his(her) preferences and problem domains. The algorithm is applied to a market segmentation problem of a medium-large computer market. The algorithm is illustrated step by step with a sales data of a computer market and is analyzed.

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The Method for Data Acquisition on a Live NAS System (활성 상태의 NAS 시스템 상에서 내부 데이터 수집 기법 연구)

  • Seo, Hyeong-Min;Kim, Dohyun;Lee, Sang-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.3
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    • pp.585-594
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    • 2015
  • As the storage market has been expanded due to growing data size, the research on various kinds of storages such as cloud, USB, and external HDD(Hard Disk Drive) has been conducted in digital forensic aspects. NAS(Network-Attached Storage) can store the data over one TB(Tera Byte) and it is well used for private storage as well as for enterprise, but there is almost no research on NAS. This paper selects three NAS products that has the highest market share in domestic and foreign market, and suggests the process and method for data acquisition in live NAS System.

An Empirical Study on the Change in Market Power after Mergers & Acquisition (합병과 시장지배력의 관계분석)

  • Chung Bhum-Suk;Lee Jin
    • Management & Information Systems Review
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    • v.4
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    • pp.327-348
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    • 2000
  • There are three major motives for M&A, financial synergy effect, operating & managerial synergy effect, and tax effect. The purpose of this study is to prove the operating & managerial synergy effect of M&A. To do this, we analyze the market-ripple effect of M&A, focusing on the increase in market power. Specifically we use cross-sectional data from 1985 to 1998 to show whether a market power of mergers is higher than that of a matched non-merging control group. we use time series data to show whether a market power of merger is higher than that of pre-merger. Also we use the event study using market model to show the stock price movement after mergers. The result is that although revenue increase after mergers, profit of the firms does not improve after mergers. Also there is sufficient evidence to say that there is a cumulative abnormal return for the firms after mergers.

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Enhancing Similar Business Group Recommendation through Derivative Criteria and Web Crawling

  • Min Jeong LEE;In Seop NA
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.10
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    • pp.2809-2821
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    • 2023
  • Effective recommendation of similar business groups is a critical factor in obtaining market information for companies. In this study, we propose a novel method for enhancing similar business group recommendation by incorporating derivative criteria and web crawling. We use employment announcements, employment incentives, and corporate vocational training information to derive additional criteria for similar business group selection. Web crawling is employed to collect data related to the derived criteria from 'credit jobs' and 'worknet' sites. We compare the efficiency of different datasets and machine learning methods, including XGBoost, LGBM, Adaboost, Linear Regression, K-NN, and SVM. The proposed model extracts derivatives that reflect the financial and scale characteristics of the company, which are then incorporated into a new set of recommendation criteria. Similar business groups are selected using a Euclidean distance-based model. Our experimental results show that the proposed method improves the accuracy of similar business group recommendation. Overall, this study demonstrates the potential of incorporating derivative criteria and web crawling to enhance similar business group recommendation and obtain market information more efficiently.

A Method of Internal Information Acquisition of Smartphones (스마트폰 내부 정보 추출 방법)

  • Lee, Yunho;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.6
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    • pp.1057-1067
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    • 2013
  • The market share of smartphones has been increasing more and more at the recent mobile market and smart devices and applications that are based on a variety of operating systems has been released. Given this reality, the importance of smart devices analysis is coming to the fore and the most important thing is to minimize data corruption when extracting data from the device in order to analyze user behavior. In this paper, we compare and analyze the area-specific changes that are the file system of collected image after obtaining root privileges on the Android OS and iOS based devices, and then propose the most efficient method to obtain root privileges.

A Study on the Characteristics of Urban Public Transportation Information Services Use (도시 대중교통정보 이용 행동 특성 연구)

  • Joh, Chang-Hyeon;Lee, Back-Jin;Bin, Mi-Young
    • Journal of the Economic Geographical Society of Korea
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    • v.12 no.1
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    • pp.56-66
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    • 2009
  • As the amount of information is rapidly growing, and the ubiquitous urban environments are emerging, the question which information type to provide and which communication media to support is a major challenge for commercial and public travel-information service providers. The current research reports the first findings of analyses of recent data, collected in metropolitan Seoul, about the acquisition of travel information and the communication media used. The study is based on the assumption that information acquisition and choice of communication medium is strongly context-driven. The study applies CHAID analysis to find homogeneous segments in information acquisition and use of communication media. Findings indicate that transport mode and activity are important determinant of information acquisition and choice of media. The type of travel information acquired co-varies strongly with transport mode and activity. In addition, we found evidence of time of day effects. Similarly, the choice of communication medium depends on the type of travel information searched for, transport mode and activity. The results suggest important implications of managerial and policy measures, in particular the dynamic, contextual market segmentation.

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Intents of Acquisitions in Information Technology Industrie (정보기술 산업에서의 인수 유형별 인수 의도 분석)

  • Cho, Wooje;Chang, Young Bong;Kwon, Youngok
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.123-138
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    • 2016
  • This study investigates intents of acquisitions in information technology industries. Mergers and acquisitions are a strategic decision at corporate-level and have been an important tool for a firm to grow. Plenty of firms in information technology industries have acquired startups to increase production efficiency, expand customer base, or improve quality over the last decades. For example, Google has made about 200 acquisitions since 2001, Cisco has acquired about 210 firms since 1993, Oracle has made about 125 acquisitions since 1994, and Microsoft has acquired about 200 firms since 1987. Although there have been many existing papers that theoretically study intents or motivations of acquisitions, there are limited papers that empirically investigate them mainly because it is challenging to measure and quantify intents of M&As. This study examines the intent of acquisitions by measuring specific intents for M&A transactions. Using our measures of acquisition intents, we compare the intents by four acquisition types: (1) the acquisition where a hardware firm acquires a hardware firm, (2) the acquisition where a hardware firm acquires a software/IT service firm, (3) the acquisition where a software/IT service firm acquires a hardware firm, and (4) the acquisition where a software /IT service firm acquires a software/IT service firm. We presume that there are difference in reasons why a hardware firm acquires another hardware firm, why a hardware firm acquires a software firm, why a software/IT service firm acquires a hardware firm, and why a software/IT service firm acquires another software/IT service firm. Using data of the M&As in US IT industries, we identified major intents of the M&As. The acquisition intents are identified based on the press release of M&A announcements and measured with four categories. First, an acquirer may have intents of cost saving in operations by sharing common resources between the acquirer and the target. The cost saving can accrue from economies of scope and scale. Second, an acquirer may have intents of product enhancement/development. Knowledge and skills transferred from the target may enable the acquirer to enhance the product quality or to expand product lines. Third, an acquirer may have intents of gain additional customer base to expand the market, to penetrate the market, or to enter a foreign market. Fourth, a firm may acquire a target with intents of expanding customer channels. By complementing existing channel to the customer, the firm can increase its revenue. Our results show that acquirers have had intents of cost saving more in acquisitions between hardware companies than in acquisitions between software companies. Hardware firms are more likely to acquire with intents of product enhancement or development than software firms. Overall, the intent of product enhancement/development is the most frequent intent in all of the four acquisition types, and the intent of customer base expansion is the second. We also analyze our data with the classification of production-side intents and customer-side intents, which is based on activities of the value chain of a firm. Intents of cost saving operations and those of product enhancement/development can be viewed as production-side intents and intents of customer base expansion and those of expanding customer channels can be viewed as customer-side intents. Our analysis shows that the ratio between the number of customer-side intents and that of production-side intents is higher in acquisitions where a software firm is an acquirer than in the acquisitions where a hardware firm is an acquirer. This study can contribute to IS literature. First, this study provides insights in understanding M&As in IT industries by answering for question of why an IT firm intends to another IT firm. Second, this study also provides distribution of acquisition intents for acquisition types.

A Study on the Finding of Promising Export Items in Defense industry for Export Market Expansion-Focusing on Text Mining Analysis-

  • Yeo, Seoyoon;Jeong, Jong Hee;Kim, Seong Ho
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.235-243
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    • 2022
  • This paper aims to find promising export items for market expansion of defense export items. Germany, the UK, and France were selected as export target countries to obtain unstructured forecast data on weapons system acquisition plans for the next ten years by each country. Using the TF-IDF in text mining analysis, keywords that appeared frequently in data from three countries were derived. As a result of this paper, keywords for each country's major acquisition projects drawing. However, most of the derived keywords were related to mainstay weapon systems produced by domestic defense companies in each country. To discover promising export items from text mining, we proposed that the drawn keywords are distinguished as similar weapon systems. In addition, we assort the weapon systems that the three countries will get a plan to acquire commonly. As a result of this paper, it can be seen that the current promising export item is a weapon system related to the information system. Prioritizing overseas demands using key words can set clear market entry goals. In the case of domestic companies based on needs, it is possible to establish a specific entry strategy. Relevant organizations also can provide customized marketing support.