• The Journal of Information Systems
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• v.27 no.2
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• pp.157-173
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• 2018

Purpose Product characteristics and price value in website have strongly effects on customer satisfaction. Especially, in the online shopping site, the scarcity limits the customer's opportunity to purchase the product. Thus scarcity has been proposed as a important factor that makes the customer highly aware of the merchantability of the product. The scarcity in the web store is used as an important variable to make purchasing decisions of users easier by psychological pressure. In the case of scarce products with price discounts in online commerce, advertising formats that highlight scarcity value in the web commerce market are very effective in enhancing purchase intentions of consumers. Unlike offline stores, the importance of scarcity becomes more important when reflecting the characteristics of online commerce. Therefore, this study intends to confirm the influence of the degree of price discounts and scarcity information presented by Web sites on consumer purchase behavior in Web purchase behavior. Design/methodology/approach This study conducted a web-based experimental study on price sensitivity and price discount. Therefore, we created experimental web-sites that offer two stimuli according to the discount rate. The 200 respondents were randomly assigned. The stimuli were fictitious based on tourism products. The first stimulus presented the price discount(15% discount) with basic explanation about the package of the tourist package. The stimuli assigned to the second group were used for groups with high price discount intensity(65% discount). In this way, the two stimuli clearly distinguished the level of price discount intensity. This paper conducted t-test analysis and structural equation to analyze the experiemental results after confirming the reliability and validity. Findings The results of this study are as follows. The difference in price discount intensity (15% vs 65%) with scarcity showed the mean difference among all the variables. Therefore, this study concluded that there is a significant difference between the price discount of 15% and 65% for the acquisition value and transaction value of users. In particular, consumers' purchase intention is greater and product recommendation intensity is stronger when the price discount is 65%. As a result, the high degree of the price discount intensity with scarcity exerts a greater influence on consumers' purchase intentions. Product scarcity also have a significant impact on perceived value of users. Therefore, purchase intention of customers increases when perceived value increases their profit and pleasure feeling.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.26-41
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• 2012

This study investigates the time-space characteristics of intra-urban passenger flows in the Metropolitan Seoul area. In particular, we analyze the relationships between transit ridership and land use through the use of the subway passenger flow data obtained from the transit transaction databases. For this purpose, the strength of each subway station, i.e., the number of total in-coming and out-going passengers at each station, in the morning, afternoon, and evening, is calculated and visualized, which reflects urban land use patterns. Then the subway stations are classified into four groups via a hierarchical analysis of the in-coming and out-going passenger flows at 353 stations. Each group appears to have characteristic properties according to the region, e.g., residential areas and central business districts. This has been confirmed by the analysis which probes explicitly the relationship between the local socio-economic variables and station groups. This analysis, disclosing the inter-relationship between the subway network and urban land use, may be useful at various stages in urban as well as transportation planning, and provides analytical tools for a wide spectrum of applications ranging from impact evaluation to decision-making and planning support.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.1-6
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• 2020

In this study, we propose an association inference model based on data bias optimization for road hazard detection. This is a mining model based on association analysis to collect user's personal characteristics and surrounding environment data and provide traffic accident prevention services. This creates transaction data composed of various context variables. Based on the generated information, a meaningful correlation of variables in each transaction is derived through correlation pattern analysis. Considering the bias of classified categorical data, pruning is performed with optimized support and reliability values. Based on the extracted high-level association rules, a risk detection model for personal characteristics and driving road conditions is provided to users. This enables traffic services that overcome the data bias problem and prevent potential road accidents by considering the association between data. In the performance evaluation, the proposed method is excellently evaluated as 0.778 in accuracy and 0.743 in the Kappa coefficient.

• Korea Trade Review
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• v.41 no.2
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• pp.61-96
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• 2016

This study investigates the effects of M&A experience of Chinese firms and characteristics of deal partners in cross border M&A deal failures. 1,610 firms that participated in 1,558 cross border M&As from 2000 to November 2015 are used as samples. The dependent variable is the M&A transaction failures, which were cases of deal pending or withdrawal of Chinese firms. Major independent variables are the nationality diversity of transaction partner firm, the partner firm belonging to a developed country, domestic M&A experience of the Chinese firms, M&A experience in a particular target country, etc. After conducting a probit model analysis, we find that deal partner firm's nationality diversity increases the failure rate of M&A. While prior domestic M&A experience in China has no influence on deal failure, prior M&A experience of Chinese and focal firms in a particular country have a negative effect on the probability of deal failure. This study has academic implication on figuring out why firms are likely to fail in the process of strategic activities based on the inter-organizational learning through partnerships perspective.

• Information Systems Review
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• v.21 no.3
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• pp.1-26
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• 2019

Now we are facing with a possibility of having crimes, which have been only possible offline, in cyber spaces as well.Especially, a recent growth in the use of SNS, promoted by popularization of smart phones, also has led an abrupt increase in cyber crime. It would be important to have a understanding of cyber crime and its characteristics by type as well as factors associated with each type of cyber crime in order to devise appropriate preventive measures against cyber crime. However, most of the previous studies on cyber crimesolely made through literature review or indirect approaches. Therefore, this study has been designed to conduct the interview with actual suspects(criminals) of cyber crime to address factors of cyber crime and to devise specific preventive measures and countermeasures against cyber crime. Especially, among various types of cyber crime, this study aims at addressing the 'trades' and 'financial transaction' of crimes committed using the information and communication network and the 'cyber libel/insult'of crimes committed using unlicensed contents, which have been soared recently and become significant issues. The findings of this study could be beneficial for the society since it has managed to conduct the interview and reveal relationships among major factors of cyber crime. The findings of this study could be used for devising and developing proper preventive and countermeasures against cyber crime, in turn reducing and preventing its damage.

• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.282-309
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• 2010

Recently, technology acquisition through technology trade plays a critical role in obtaining national competitiveness in a global era. However, current studies mostly focus on grasping the characteristics or macro status of technology trade and analyzing the impact of technology acquisition through the technology transaction, leading to the failure of providing a theoretical and practical background of national policy-making. Therefore, this research aims at investigating the concentration rate of technology, companies and countries where Korean companies obtain technological capability on the basis of the Bank of Korea's data related to 'loyalty payment in technology licensing', additionally analyzing the types of exported technology and loyalty payment. From these analyses, the degree of concentration that pre-defined 31 technology classifications depend on specific technologies, companies and nations are examined and the characteristics of technology trade types are investigated. The results of this research can be used to make a technology policy and analyze the characteristics of technology innovation of Korea industries.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.95-118
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• 2017

Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government's spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper research.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.5_6
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• pp.257-266
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• 2007

In On-Chip bus, the arbitration scheme is one of the critical factors that decide the overall system performance. The arbitration scheme used in traditional shared bus is the master-side arbitration based on the request and grant signals between multiple masters and single arbiter. In the case of the master-side arbitration, only one master and one slave can transfer the data at a time. Therefore the throughput of total bus system and the utilization of resources are decreased in the master-side arbitration. However in the slave-side arbitration, there is an arbiter at each slave port and the master just starts a transaction and waits for the slave response to proceed to the next transfer. Thus, the unit of arbitration can be a transaction or a transfer. Besides the throughput of total bus system and the utilization of resources are increased since the multiple masters can simultaneously perform transfers with independent slaves. In this paper, we implement and analyze the arbitration schemes for the Multi-Layer AHB BusMatrix based on the slave-side arbitration. We implement the slave-side arbitration schemes based on fixed priority, round robin and dynamic priority and accomplish the performance simulation to compare and analyze the performance of each arbitration scheme according to the characteristics of the master and slave. With the performance simulation, we observed that when there are few masters on critical path in a bus system, the arbitration scheme based on dynamic priority shows the maximum performance and in other cases, the arbitration scheme based on round robin shows the highest performance. In addition, the arbitration scheme with transaction based multiplexing shows higher performance than the same arbitration scheme with single transfer based switching in an application with frequent accesses to the long latency devices or memories such as SDRAM. The improvements of the arbitration scheme with transaction based multiplexing are 26%, 42% and 51%, respectively when the latency times of SDRAM are 1, 2 and 3 clock cycles.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.291-299
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• 2015

This study analyze empirically how the characteristics of a venture business' founder and company development stage will affect on B2B transactions and business management difficulties based on "2012 Survey of Korea Venture Firms". According to this study, there are different frequencies of difficulties in B2B transactions depending on the founder's age and educational background as well as different recognitions about business management difficulties with considering the founder's age, educational background, major and other factors. It is analyzed that in educational background factor, master's degree and in major factor, humanities and social science show comparatively frequent business management difficulties. On the other hand, it is analyzed that there is not meaningful difference in the recognition about the difficulty-frequency in B2B transactions in each company growth stage. It is considered that the difficulties occur frequently in every company growth stage but, these types of difficulties are solved routinely. At the Exit phase, however, there is high recognition about business management difficulties as the transaction with the companies in this stage is avoided.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.725-735
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• 2015

The aim of this study is to specifically understand the officetel market by empirical analysis for the determining factors that affect determining the price of the officetel in Busan. In my opinion, it can help officetel providers to select the appropriate size and location that analysis for the factors determining officetel price with market price, and also it can help customers officetel to choice depending on the purpose. So I was conducting this study. In this study, I analyzes the factors determining the price of Officetel using a OLS linear regression, semi-log model, and a robust regression-Busan area Officetel Real Transaction Price as the dependent variable and factors representing the physical characteristics, locational characteristics and regional characteristics as independent variables.