• Journal of the Korean Society of Costume
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• v.57 no.3 s.112
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• pp.124-135
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• 2007

Being called 'the period of diversity', the 21st century is taking on a new aspect which is different from the past where a certain phenomenon of a specific area was prescribed as one representative icon of a period. In particular, the globalization culture acted as the catalyst to accept such diversity and it appeared as a new culture code, 'fusion' throughout society and culture. Especially, unlike two-hour movies, the recent drama $\lceil$Gung$\rfloor$ showed various fusion style costume over a period of three months and created a sensation of fusion style costume. Therefore, this study is aimed at investigating fusion style costume by selecting the TV drama $\lceil$Gung$\rfloor$ which was on the air in 2006. Though various studies on fusion style costume, which is becoming a new culture code, have been conducted, this study is meaningful in that it's time to conduct a new study through a popular TV drama. Based on preceding studies on fusion style, the elements of fusion style were analyzed by capturing the most frequently exposed heroine's costume, and new design development introducing fusion elements was attempted for empirical studies. The study results are as follows. First, it was found that the fusion trend is a culture code which already spread to the public and is shown in the fashion in various ways. Second, the drama $\lceil$Gung$\rfloor$, is commented as a new dram which introduced the fusion style costume into Korea through a modern version of constitutional monarchy and is commented as a medium which created an interest in the fusion costume among the public as well. Third, new trend elements of the fusion style could be derived through empirical studies by design development.

• Journal of KIISE
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• v.43 no.2
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• pp.237-245
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• 2016

In this paper we introduce a novel database research area called science of databases (SoDB) and carry out a comprehensive analysis of its case studies. SoDB aims to better understand interesting phenomena observed across multiple database management systems (DBMSes). While mathematical and engineering work in the database field has been dominant, less attention has been given to scientific approaches through which DBMSes can be better understood. Scientific investigations can lead to better engineered designs through deeper understanding of query optimizers and transaction processing. The SoDB research has investigated several interesting phenomena observed across different DBMSes and provided several engineering implications based on our uncovered results. In this paper we introduce a novel scientific, empirical methodology and describe the research infrastructure to enable the methodology. We then review each of a selected group of phenomena studied and present an identified structural causal model associated with each phenomenon. We also conduct a comprehensive analysis on the case studies. Finally, we suggest future directions to expand the SoDB research.

• The Journal of Society for e-Business Studies
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• v.18 no.1
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• pp.147-164
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• 2013

For the continuous information security governance, we have to focus on not just technical aspects like access control and DRM, but informal level management like information security(IS) behavior, culture, and personal value. But there are few informal level studies, while many formal level studies of IS governance or technical means. This study is an empirical test that how IS culture, normal beliefs, personal behavior and value affect employee's deviant behavior. And we define a lack of an awareness of value and importance on IS regulations in organizations as "Information Security Anomie" with the concept of anomie, a viewpoint on social organization.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.133-140
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• 2013

The purpose of this study is identifying the relationship among the business strategy, order receiving capability and leverage variables of a construction company using industry characteristic variables, in addition to the explanation variables used in the previous studies. The samples of this study were limited to the construction companies listed in Korean stock market. This study built multiple regression analysis models, which have been frequently used in traditional previous studies, in the explanation of company capital structure. Empirical analysis on Static Trade-off Theory and Pecking Order Theory was done by the built model. The study results suggested that the capital structure determination behavior of a construction company generally follows Static Trade-off Theory; however, profitability was found to follow Pecking Order Theory. The explanation variables used in the previous capital structure studies mostly produced significant results; however, the variables, which this study experimentally used, did not produce significant results. It is believed that it implies that additional studies are required in the selection of variables and study methodology. Consequently, a case that unconditionally supports a particular theory is scarce. It has been also found that a case can support both theories at the same time. Therefore, it is believed that development study methodology or introduction of new study methodology that can identify the dynamic characteristic of construction company capital structure formation is required.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.5
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• pp.49-67
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• 2012

Studies on landscape ecology have focused on conceptual aspects, while empirical focus for spatial planning has been rarely conducted. This study conducted an empirical analysis to enhance landscape ecological performance of urban developments using landscape ecology. To do so, concrete criteria and standards to analyze structural, functional and variational mechanisms of urban landscape ecology were developed. An integrated landscape ecology assessment model that can be applied to urban development planning was established by combining the criteria. Next, Landscape Ecological Management System (LEMS) was developed to implement an integrated assessment using GIS. To verify the effectiveness of the system, a case study was conducted using LEMS on Byulnae City in the Seoul Metropolitan Area. The LEMS can be useful for urban planners and policy makers in their selection of desirable planning alternatives. Moreover, the LEMS developed in this study can be a useful tool for academia in terms of the implementation of further related studies, and for planning professionals in their environmental impact assessment tasks.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.17-22
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• 2019

The rapid development of artificial intelligence technology has exerted a great influence on all fields of the world, which of course also affects the world economy. This has also aroused a large number of economists' interest in this proposition. Since the definition of artificial intelligence is not unified yet, the results from previous researches are not reliable enough. At present, most scholars use the neoclassical growth model or task-based model to explore the path of artificial intelligence on economic variables. There into, most of them use the degree of automation to represent the artificial intelligence. They find that the degree of automation can change the proportion of industries. This only verifies that artificial intelligence can affect the economic variables. But the magnitude of artificial intelligence on economic variables can not be correctly estimated. Therefore, in order to have a better understanding on the impact of artificial intelligence on economic growth, this paper systematically reviews and collates previous literature on this topic. The results of this paper indicate that both in theoretical and empirical studies, artificial intelligence has a positive effect on economic growth. Then, some suggestions and limitations have also been put forward accordingly.

• Journal of Information Technology Applications and Management
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• v.27 no.3
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• pp.77-92
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• 2020

As mobile shopping has been increasing, the competition has been also increasing to satisfy various consumers' needs. Despite such increase in terms of the volume of the consumers who use mobile shopping, there has been very few studies to examine characteristics of mobile shopping malls. The purpose of this empirical study is to investigate the effect of characteristics of mobile shopping malls on consumer loyalty and the interaction effect of the O2O experience on the relationship between the characteristics of mobile shopping malls and consumer loyalty. Using a sample of 276 individuals who have experienced mobile shopping, we found that certain characteristics such as ubiquity, personalization, or convenience have a positive impact on consumer loyalty and a design characteristic solely has an interaction effect on consumer loyalty. As consumer loyalty has a critical factor on mobile shopping mall's profit, examining which factor has a positive effect on consumer loyalty is beneficial for mobile shopping malls. The results of the study have both practical and empirical implications.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.7-16
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• 2008

This research examined the mediation effects of knowledge absorptive capacity (KAC) and knowledge management capability (KMC), between information communication technology (ICT) implementation and firm performance. In the past, studies investigated KAC and KMC separately. While studies of KAC focus on the flow of information, those of KMC focus on knowledge creation triggered by innovative information. However, KAC and KMC are not mutually exclusive and as such we investigated them together in this research. We surveyed 126 companies and analyzed hypotheses with LISREL analysis. This research provided empirical support for the Nonaka's contention that the information processing has a positive effect on knowledge creation. We also found that there is a mediation effect between ICT implementation and firm performance. Not only is there a direct effect of ICT implementation on firm performance, but there is an indirect effect through KAC and KMC. KAC has a positive effect on both KMC and firm performance. However, it has been discovered that while KMC has mediation effect, it is not significant as an independent factor for firm performance.

• Journal of Korean Society for Quality Management
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• v.32 no.4
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• pp.92-102
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• 2004

In this era of intense competition, TQM has become the key program in organizations as they strive for a competitive advantage. It has been applied to manufacturing and service sector since BNQA model was established in 1987. TQM literature for manufacturing sector abounds with empirical studies on the critical dimensions of TQM, but there is few empirical studies on the TQM evaluation for service sector. In this paper, two methodologies are applied to evaluate the TQM activities of service companies comparatively One of them is the traditional scoring system(TSS) by analytic hierarchy process(AHP). The other is the efficiency measuring system(EMS) by data envelopment analysis(DEA). DEA outperformed other alternative methods to measure the efficiency and it can be applied to evaluate the TQM activities. The objective of this paper is to evaluate TQM activities of domestic service companies by applying TAE(Total quality management Activities Evaluation) model to them. The result of this study is that TSS scores are not significantly correlated with EMS scores. It means that service organizations must not only make efforts to get the higher scores in terms of TSS but also take necessary steps to enhance their efficiencies.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.57-73
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• 2015

While many previous studies investigated the effect of operations performance on financial performance, most studies considered only a few performance indicators and ignored the characteristics of industries. Therefore, this study intends to analyze the effect of operations performance on financial performance, by selecting a rather comprehensive operations performance indicators from firms' financial data. In doing so, we used operating efficiency and supply chain performance indicators for operations performance and a firm's profitability and future value indicators for financial performance. For the analysis, we collected 544 firms' operations and financial performance data belonging to eight key industries from the 'Forbes Global 2000'. We first analysed the differences in operations and financial performance among high, medium and low supply chain performance groups based on the quantitative criteria of Gartner's 'Supply Chain Top 25' ranking procedure. Then we analysed the effect of operations performance indicators on financial performance for both entire industry and individual industries, using multiple regression. Based on the results, we provided practical insights into key operations performance indicators to focus on and manage in order to improve financial performance.