• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.5
• /
• pp.868-889
• /
• 2022

Fashion companies are using a big data approach as a key strategic analysis to predict and forecast sales. This study investigated the effectiveness of the past sales, web search volume, information amount, brand promotion, and the advertising endorser on the sales forecasting model. The study conducted the autoregressive distributed lag (ARDL) time series model using the internal and external social big data of a national fashion brand. Results indicated that the brand's past sales, search volume, promotion, and amount of advertising endorser information amount significantly affected the sales forecast, whereas the brand's advertising endorser search volume and information amount did not significantly influence the sales forecast. Moreover, the brand's promotion had the highest correlation with sales forecasting. This study adds to information-searching behavior theory by measuring consumers' brand involvement. Last, this study provides digital marketers with implications for developing profitable marketing strategies on the basis of consumers' interest in the brand and advertising endorser.

• Environmental and Resource Economics Review
• /
• v.12 no.4
• /
• pp.687-708
• /
• 2003

The purpose of this paper is to introduce time-series causality analysis by combining time-series technique with graph theory. Vector autoregressive (VAR) models can provide reasonable interpretation only when the contemporaneous variables stand in a well-defined causal order. We show that how graph theory can be applied to search for the causal structure In VAR analysis. Using Maryland crop cash prices and CBOT futures price data, we estimate a VAR model with directed acyclic graph analysis. This expands our understanding the degree of interconnectivity between the employed time-series variables.

• Journal of The Korean Association For Science Education
• /
• v.15 no.2
• /
• pp.185-193
• /
• 1995

The purpose of this article is to find out psychological mechanism on the core of misconceptions. Theoretical frame to search for the core of misconceptions is based on the Pascual-Leone's neo Piagetian theory. Although Pascual-Leone's theory is a cognitive developmental theory, its psychological mechanism gives us new insights on misconception. According to the comparison between Pascual-Leone's psychological mechanism and the common specifics of misconceptions and their items, conclusions could be summarized as follows: 1) Children's misconceptions and LC learning structures have the same nature. 2) Structures in items of misconceptions and misleading factor structures in cognitive tasks affect mental process with the same mechanism. 3) LC learning structures was activated preferentially in knowledge structures by F operator, with the same activation mechanism, the process children's misconceptions was activated firstly among other conceptions could be explained.

• Korean Institute of Interior Design Journal
• /
• v.14 no.5 s.52
• /
• pp.262-270
• /
• 2005

The purpose of this study is to search for the characteristics of the theory of 'placeness' permeated through contemporary museum architecture in Korea, and hereby to prove the possibility of coping with the modernity in Korean architecture. In this study the theory of 'placeness' which is asserted by Christian Norberg Schultz has been adopted in debating contemporary architecture in Korea. Therefor the theory of 'placeness' has been researched to get an angle of vision on the proof of coping with the modernity in Korean architecture. Seven contemporary museum architecture which have been completed since 1990 have been examined in the view of morphology, topology, and typology which are the major factors of 'placeness'. Throughout this case study, the post-modernity in museum architecture in Korea has been proved, which establishes that the 'placeness' is one of the alternatives for contemporary architecture in Korea.

• Asia pacific journal of information systems
• /
• v.26 no.1
• /
• pp.66-79
• /
• 2016

The availability of detailed data on customers' online behaviors and advances in big data analysis techniques enable us to predict consumer behaviors. In the past, researchers have built purchase prediction models by analyzing clickstream data; however, these clickstream-based prediction models have had several limitations. In this study, we propose a new method for purchase prediction that combines information theory with machine learning techniques. Clickstreams from 5,000 panel members and data on their purchases of electronics, fashion, and cosmetics products were analyzed. Clickstreams were summarized using the 'entropy' concept from information theory, while 'random forests' method was applied to build prediction models. The results show that prediction accuracy of this new method ranges from 0.56 to 0.83, which is a significant improvement over values for clickstream-based prediction models presented in the past. The results indicate further that consumers' information search behaviors differ significantly across product categories.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2019.05a
• /
• pp.89-90
• /
• 2019

The purpose of this study is to clarify the difference between design and construction conditions based on theory for support (S) and infill (I) distinction and separation in long-life housing, and to search for future direction. To do this, the SI theory is summarized and the construction situation is examined in the demonstration house and the differences and limitations are analyzed. In order to realize SI separation in Korea, it is necessary to set the position of pipe shafts for sewage and drainage, buried in the structure and Ondol layer of the private pipes, buried various wires in the inner wall, and fixing the position of the inner wall.

• Journal of Arbitration Studies
• /
• v.23 no.4
• /
• pp.77-96
• /
• 2013

International Arbitration has distinguished itself as a method for dispute resolution that pleases both common and civil law practitioners. It, however, is not free of criticism, especially when fact-finding and evidentiary issues are at play. Perhaps because fact-finding is very closely linked to the culture in which they lie, perhaps because of the lack of a clear evidentiary rules governing international arbitration, a theory of evidence in international arbitration is still far fetched. Through the analysis of the distinctions between dispute resolution systems and the search for truth paradigm, this paper aims to develop and present an outline for the development of a theory of evidence in international arbitration.

• Korean Journal of Computational Design and Engineering
• /
• v.1 no.3
• /
• pp.234-241
• /
• 1996

Recently, Genetic Algorithms(GAs), which consist of genetic operators named selection crossover and mutation, are widely adapted into a search procedure for structural optimization. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GAs are very simple in their algorithms and there is no need of continuity of functions(or functionals) any more in GAs. So, they can be easily applicable to wide territory of design optimization problems. Also, virtue to multi-point search procedure, they have higher probability of convergence to global optimum compared with traditional techniques which take one-point search method. The introduction of basic theory on GAs, and the application examples in combination optimization of ten-member truss structure are presented in this paper.

• Archives of design research
• /
• v.15 no.2
• /
• pp.223-232
• /
• 2002

As the Internet becomes widespread as a significant tool of obtaining information, there is a growing demand for a system to efficiently organize and manage information on the Internet. Accordingly, research on the directory classification structure that directly affects the efficiency of a users information search is actively investigated in every field. The study intends to suggest an efficient classification structure by comparing and analyzing the directory classification structure of current design portal sites with the theory of literature classification structure, in order to increase the efficiency of search according to the directory classification structure of design sector.

• Journal for History of Mathematics
• /
• v.21 no.1
• /
• pp.45-78
• /
• 2008

Theory of minimal surfaces has always been in the center of differential geometry. The most difficult part in minimal surfaces is how to find meaningful examples. In this paper we survey the history of search for minimal surfaces. We also introduce examples of recently emerging maximal surfaces in the Lorentz-Minkowski space and compare the processes in the search for the minimal and the maximal surfaces.