• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.177-193
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• 2014

Over the past decade, there has been a rapid diffusion of electronic commerce and a rising number of interconnected networks, resulting in an escalation of security threats and privacy concerns. Electronic commerce has a built-in trade-off between the necessity of providing at least some personal information to consummate an online transaction, and the risk of negative consequences from providing such information. More recently, the frequent disclosure of private information has raised concerns about privacy and its impacts. This has motivated researchers in various fields to explore information privacy issues to address these concerns. Accordingly, the necessity for information privacy policies and technologies for collecting and storing data, and information privacy research in various fields such as medicine, computer science, business, and statistics has increased. The occurrence of various information security accidents have made finding experts in the information security field an important issue. Objective measures for finding such experts are required, as it is currently rather subjective. Based on social network analysis, this paper focused on a framework to evaluate the process of finding experts in the information security field. We collected data from the National Discovery for Science Leaders (NDSL) database, initially collecting about 2000 papers covering the period between 2005 and 2013. Outliers and the data of irrelevant papers were dropped, leaving 784 papers to test the suggested hypotheses. The co-authorship network data for co-author relationship, publisher, affiliation, and so on were analyzed using social network measures including centrality and structural hole. The results of our model estimation are as follows. With the exception of Hypothesis 3, which deals with the relationship between eigenvector centrality and performance, all of our hypotheses were supported. In line with our hypothesis, degree centrality (H1) was supported with its positive influence on the researchers' publishing performance (p<0.001). This finding indicates that as the degree of cooperation increased, the more the publishing performance of researchers increased. In addition, closeness centrality (H2) was also positively associated with researchers' publishing performance (p<0.001), suggesting that, as the efficiency of information acquisition increased, the more the researchers' publishing performance increased. This paper identified the difference in publishing performance among researchers. The analysis can be used to identify core experts and evaluate their performance in the information privacy research field. The co-authorship network for information privacy can aid in understanding the deep relationships among researchers. In addition, extracting characteristics of publishers and affiliations, this paper suggested an understanding of the social network measures and their potential for finding experts in the information privacy field. Social concerns about securing the objectivity of experts have increased, because experts in the information privacy field frequently participate in political consultation, and business education support and evaluation. In terms of practical implications, this research suggests an objective framework for experts in the information privacy field, and is useful for people who are in charge of managing research human resources. This study has some limitations, providing opportunities and suggestions for future research. Presenting the difference in information diffusion according to media and proximity presents difficulties for the generalization of the theory due to the small sample size. Therefore, further studies could consider an increased sample size and media diversity, the difference in information diffusion according to the media type, and information proximity could be explored in more detail. Moreover, previous network research has commonly observed a causal relationship between the independent and dependent variable (Kadushin, 2012). In this study, degree centrality as an independent variable might have causal relationship with performance as a dependent variable. However, in the case of network analysis research, network indices could be computed after the network relationship is created. An annual analysis could help mitigate this limitation.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.265-295
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• 1996

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol′s performance using data on the 50 largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index we calculated inter-industry technological similarity using R&D expenditure data by industry and 1990 Input-output Table in Korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols′business profile, inter-industry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions, diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols′financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS (Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI (Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and f[ are significant and positively related to the deepened variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or W will increase TFP growth rate. but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.

• International Commerce and Information Review
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• v.18 no.4
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• pp.195-217
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• 2016

The Convention on Contracts for the International Sale of Goods(CISG) endeavors to increase international trade through the creation of a uniform law of international sales. The CISG applies to contracts of sale of goods between parties whose places of business are in different States. If a party has more than one place of business, the place of business if that which has the closest relationship to the contract and its performance. Despite the importance of a definition for 'place of business,' the CISG does not provide one. Lack of a definition of 'place of business' may cause problems for parties trying to determine whether the CISG applies to their contract. Also Contracting parties can opt out of the CISG. But the CISG does not state whether the parties must expressly exclude the CISG's application to a transaction or whether they might do so by implication. we need to consider how effectively opt out of the CISG. Under U.S. law, the CISG is considered to be a self-executing treaty. So the CISG's provisions apply directly as substantive sales law to contracts for the international sale of goods. Despite the CISG's political and economic significance to U.S., U.S. Courts have overlooked the terms of the CISG. This article considered how to the CISG was recognized, interpreted and applied by the U.S. Courts in related cases.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.406-430
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• 2007

Most pharmaceutical licensing deals are made in the early stage of drug development. While this development process is not unique for complicated technology, a special feature of drug development is that it is highly regulated and a well-defined process. Its statistics in terms of costs and chances of technical success have been researched extensively. This enables relatively detailed calculations as benchmarks for actual deals to be made. Based on such calculations and on the analysis of licensing terms in published agreements, various companies offer quite expensive information, databases, software programs and consultation services to help establish what might be reasonable economic terms in a licensing deal. Over the years, pharmaceutical royalties have been the subject of various articles in journals. Most specific on this subject was the article on determining pharmaceutical royalties. Many other articles are about a more general nature deal with determining reasonable royalty rates, evaluating and underpinning the empirical value and usefulness of the 25% rule. The object of this article is to provide a relatively simple analytical approach based on the major economic terms underlying pharmaceutical licensing deals. The aim is to enhance the understanding of the relations between the major factors involved. Details are disregarded, as generally, where the terms of licensing deals depend on predictions over a considerable length of time, the value of detail is limited. Some specific issues addressed by the approach are the impact on profits of large investments, high risks and long development times characteristic of drug development, the consequent strong impact that the ultimate sales levels and operating margins may have on what might be considered a reasonable royalty rate, and the relationship between upfront payments and milestone payments to be paid during pharmaceutical development and the royalties due once the drug enters the market.

• The Journal of Information Systems
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• v.25 no.2
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• pp.79-110
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• 2016

Purpose Online Peer-to-peer lending (hereafter P2P lending), is a new method of lending money to unrelated individuals through an online financial intermediary. Usually in the online P2P transaction, individuals who would like to borrow money (hereafter borrowers) and those who would like to lend money (hereafter lenders) have no previous relationship. Based on enormous previous studies, this study develops an integrated model, particularly for the online P2P lending environment in China, to better understand the critical factors that influence lenders' intention to lend money through the online P2P lending platform. Design/methodology/approach In order to verify the hypotheses, we develop a questionnaire with 42 survey items. We measured all the items on a five-point Likert-type scale. We use Sojump.com to collect questionnaire and gather 246 valid responses from registered members of Renrendai.com. We analyzed the main survey data by using SPSS 18.0 and AMOS 20.0. We first estimated the reliability, validity, composite reliability and AVE and then conduct common method bias test. The mediating role of trust in platform and in borrower has been tested. Last we tested the hypotheses through the structural model. Findings The results reveal that service quality, information quality, structural assurance, awareness and reputation significantly impact lenders' trust in the online P2P lending platform. Second, awareness, reputation and perceived risk significantly impact lenders' trust in borrower and lending intention. Third, trust propensity has a positive effect on lenders' trust on borrower. Last, awareness, reputation, perceived risk, platform trust and borrower trust can directly impact lenders' lending intention.

• 한국벤처창업학회:학술대회논문집
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• 2009.10a
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• pp.111-138
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• 2009

This research focuses on what factors determine firm's decisions on R&D outsourcing and how R&D outsourcing affect R&D performance. In recent years many firms outsource R&D activities instead of internalizing it. Thus, further investigation is necessary to find out this recent trend. Based on several theoretical background the study developed three determining factors of R&D outsourcing which are transactional level, firm level, and risk level. Transactional level composes of independent variables such as R&D cost saving, asset specificity and uncertainty which mainly comes from Transaction Cost Economics theory. Firm level composes of openness to technology from outer source, R&D capability, and outsourcing experience. Risk level composes of technological risk, cost-related risk and managerial risk. The result shows that R&D outsourcing is significantly related to cost saving aspect, low asset specific firms, firms without solid technological background, firms which are open to external technology, firms with other types of outsourcing experience, and firms which take technological risks. However, proposed relationship between degree of R&D outsourcing and R&D performance found out to be insignificant. This research is contribute to the field of outsourcing study since it will give guidance to managers who need to make strategic decisions on R&D outsourcing activities.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.815-828
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• 2013

Recently internet shopping malls provide newer and more varied goods and services to meet the demand of their customers. And as new companies enter the on-line shopping mall business, competition in this specific market is getting stiffer. Therefore, to keep a more sustained relationship with their customers, internet shopping malls need to satisfy their customers with their goods and services and to make them loyal customers. Unlike bricks-and-mortar stores in real life, This study also aims to propose an on-line physical environment model, and to develop the existing on-line research into a physical environment. The physical environment is measured on the four dimensions and 4 measurement units and the on-line physical environment, trust, and purchasing decisions are also explained. This study makes contributions as follows. First, online physical environments contain theoretical syntheses and operational definition. Second, this study finds that trust is an important part of an on-line transaction. Third, this study provides an insight into some of the factors preceding purchasing decisions. Lastly, this study finds that the consumer's comprehension of the on-line environment has a considerable influence on trust and purchasing decisions.

• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.196-204
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• 2002

This paper examines the price discovery role of the KOSPI 200 futures index for its cash index. It was used the intrady data for KOSPI 200 and futures index from July 1998 to June 2001. The existing Preceding study for KOSPI 200 futures index was used the data of early market installation, but this study is distinguished to use a recent data accompanied with the great volume of transaction and various investors. We established three hypothesis to examine whether there is the price discovery role in the KOPSI 200 futures index and the characteristics of that. First, to examine whether the lead-lag relation is induced by the infrequent trading of component stocks, observations are sorted by the size of the trading volume of cash index. In a low trading volume, the long lead time is reported and the short lead time in a high volume. It is explained that the infrequent trading effect have an influence on the price discovery role. Second, to examine whether the lead-lag relation is different under bad news and good news, observations are sorted by the sign and size of cash index returns. In a bad news the long lead time is reported and the short lead time in a good news. This is explained by the restriction of"short selling" of the cash index Third, we compared estimates of the lead and lag relationships on the expiration day with those on days prior to expiration using a minute-to-minute data. The futures-to-spot lead time on the expiration day was at least as long as other days Prior to expiration, suggesting that "expiration day effects" did not demonstrate a temporal character substantially different form earlier days. Thus, while arbitrage activity may be presumed to be the greatest at expiration, such arbitrage transactions were not sufficiently strong or Pervasive to alter the empirical price relationship for the entire day. for the entire day.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.767-787
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• 2018

Technology-driven innovation and job-creation has each been the subject of much scholarly attention, but have largely been considered separately rather than in conjunction with each other. While the previous literature on economics pinpointed the macro effects on industry-level, this study explores the micro-level comparisons on innovation sources over the employment and financial performances. The PSM (propensity-score matching) analysis presents that firms, involved in an inward technology, tend to have higher employees with dominant technology capabilities than in-house R&D firms. The in-house R&D firms, on the contrary, have superior financial performances, suggesting that external technology commercialized firms suffer from low transformative efficiency. The mediation test analysis corroborates that the external technology-driven innovation induces more human resources in internalizing the exogenous technology. The positive relationship between R&D innovation and employment allow verification of the government's intervention in the promotion of technology commercialization in public sector. On the other hand, it also signals that the policy needs to enhance the recipient firms' commercializing capacity rather than a 'one-hit' transaction.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.2
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• pp.247-266
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• 2005

The purpose of this paper is to analyse the effects of a firm's financial and non-financial factors on the relationship formation with its main bank in the industry of parts and material in Pusan-Kyungnam region. The results, out of accordance with the relation-banking or regional financial market perspective, do not support the hypothesis that regional financial institutions would be useful for decreasing the financial difficulties of the small and medium firms in the region. The analyses about the effects of non-financial factors on the formation of main bank relations show that while Kookmin Bank and Industrial Bank play important roles as main banks of small businesses other national banks put emphasis on the transaction lending. And the analyses about the effects of financial factors show that firms having main bank relations with non-bank financial institutions and Kookmin bank are more profitable and stable than firms having main bank relations with other banks including local banks. On the whole it seems that local banks are not making a commitment to the regional economy and their operational grounds are not strong enough.