• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1423-1433
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• 2006

The purpose of this study is to explore the impact of window information on consumers' willingness to visit a fashion store according to their clothing shopping orientation. The sutjects of the research are conveniently selected females over the age of 20 living in Busan. A total of 202 questionnaire are collected far data analysis. The results of this study are as follows: 1. The factor analysis to identify the clothing shopping orientation showed four factors, such as hedonic, planned, independent/loyalty, and impulsive/convenience. A cluster analysis conducted by the four factors resulted in four patterns - utilitarian shopping orientation group, impulsive/convenience shopping orientation group, hedonic shopping orientation group, independent/loyalty shopping orientation group. 2. The window information conducted by factor analysis were divided into the four levels-product information, promotion information, fashion information, and store image. 3. A one-way ANOVA analysis carried out to find the window information effects among the groups revealed that there were significant differences in the factors of promotion information, fashion information, and store image. 4. Multi-regression analysis was conducted in order to find the impact of window information on the consumers' willingness to visit a fashion store. As a result, fashion information had the most impact on utilitarian shopping group, while product information, promotion information and store image had a great impact on impulsive/convenience shopping orientation group, fashion information and store image had the most impact on hedonic shopping orientation group.

• The Journal of Information Systems
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• v.20 no.3
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• pp.161-186
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• 2011

To date, SCM research has mainly focused on the effects of controlled variables on SCM success and emphasized adoption strategies and critical success factors. Consequently, the effects of more uncontrolled variables such as partnership between SCM partners have been largely ignored. The purpose of this study, therefore, is to examine the effects of both controlled variables and uncontrolled variables on SCM performance through affecting RTE characteristics. The six factors examined in this study include Quality of information, partnership quality, Forecasting, Agility, Visibility, and SCM performance. In this study, SCM Performance was divided into three categories: Quality Performance, Cost Performance, Delivery Performance. All factors were examined from the perspective of part suppliers. The results of this study can be summarized as follows. First, SCM information quality positively affected SCM partnership quality, Forecasting, Agility, Visibility. Second, SCM partnership quality positively affected Forecasting, Agility. But, SCM partnership quality showed no significant effect on Visibility. Third, Forecasting had a significant impact on SCM performance. According to the detailed result of measuring SCM performance with Quality Performance, Cost Performance, Delivery Performance, although Forecasting affects Cost Performance, Delivery Performance directly, it does not affect Quality Performance directly. Fourth, Agility also had a significant impact on SCM performance. According to the detailed result of measuring SCM performance, Agility has significant impact on Quality Performance, Cost Performance, Delivery Performance. Fifth, Visibility, as expected, had a significant impact on SCM performance. According to the detailed result of measuring SCM performance, Visibility has significant impact on Quality Performance, Cost Performance, Delivery Performance.

• Magazine of the Korea Concrete Institute
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• v.7 no.1
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• pp.109-116
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• 1995

In tnis study, the impact factors of a simply supported highway bridge due to a vehicle moving across the span are presented. This variable has received cons~derable attention in recent years, both analytically and experimentally. The KBDC specification equation has a maximum 30 percent value which decreases with span length. The results of field tests showed that the dynamic load effects are mostly lower t.hari present KBDC value and that the impact factor does not vary significantly with spar1 as implied in KHUC. The rnain parameters affecting lmpact are the br dge approach. bumps, and other pavement roughness. In thls study, based on test results, three values of impact factors are provided by correlating the roughness of the surface to the deck condition survey values. The present study proposes reasonable impact factors for the strength evaluation of highway bridges. This study may be extended to the evaluation of existing brdges.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.2
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• pp.39-46
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• 2023

Purpose: The small-scale environmental impact assessment system in Korea was introduced and implemented in August 2000, but it has a problem that it cannot guarantee implementation due to the large proportion of qualitative reduction measures for each evaluation item. Therefore, when preparing a small-scale environmental impact assessment, research was conducted on how to improve the existing simple listing-type reduction measures and qualitative evaluation standards to quantitative reduction measures and evaluation standards reflecting regional characteristics. Research design, data and methodology: The small-scale environmental impact assessment system in Korea was introduced and implemented in August 2000, but it has a problem that it cannot guarantee implementation due to the large proportion of qualitative reduction measures for each evaluation item. Therefore, when preparing a small-scale environmental impact assessment, research was conducted on how to improve the existing simple listing-type reduction measures and qualitative evaluation standards to quantitative reduction measures and evaluation standards reflecting regional characteristics. Results: As a result of the analysis of qualitative and quantitative factors, the arithmetic sum of the qualitative factors of the total six projects is 160, accounting for 80% of the total number of reduction measures, and the quantitative factors are 40, accounting for 20%. Among them, the number of qualitative reduction measures reached 97.4% for animal and plant items, and more than 90% for air quality, noise and vibration, and eco-friendly resource circulation items. Conclusions: Therefore, it is necessary to avoid establishing qualitative reduction measures and set quantitative measures as the basis, but to specify the specifications, size, and installation location related to the reduction measures, and to calculate the numerical reduction efficiency.

• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.117-133
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• 2017

The purpose of this study is to consider the relation between the deciding factors of local identity and local image improvement. To achieve this purpose, the deciding factors of local identity have been set as the following four: historical identity, cultural identity, (nature) scenery identity, and industrial identity. The writer has established a model to represent the relation between these factors and the local image improvement, namely 'Visitor Satisfaction' and 'Revisit Intentions', and framed a hypothesis for empirical verification. The study results are as follows: First, the deciding factors of local identity which this study addressed are empirically proven to have a significant effect on the visitor satisfaction and the intention to revisit in which is it likely that the greater the impact of the deciding factors, the higher the visitor satisfaction and revisit intentions would be. Second, the deciding factors of local identity, it appears that the 'historical identity' factor had the largest impact on the visitor satisfaction, and the 'cultural identity' factor had the largest impact on the revisit intentions. Therefore, of the four deciding factors, the 'historical identity' should be considered the highest priority to increase the visitor satisfaction, and the 'cultural identity' should be considered the highest priority to increase the revisit intentions. Third, based on the verification of the relation between the visitor satisfaction and revisit intentions, it can be presumed that the greater the visitor satisfaction, the higher the revisit intentions would be.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.53-65
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• 2021

The study of behavioral intention in the fashion industry, until recently, focused on the variables of satisfaction and the intention of purchase, and were limited to specific individuals who were fashion consumers. It was found that variables of intention of recommendation have a greater impact on many other potential customers from a study on consumer behavioral intention. Thus, this study seeks to examine the relationship between the selection factors of collaboration fashion products and preference, and the relationship between preference and the intention of purchase. Moreover, the purpose of this research is to find the influence of relationships between selective factors of collaboration fashion products and the intention of recommendation. The 'intention of recommendation' was set as a dependent variable, that influences the relationship between preference and intention of recommendation. For empirical analysis, SPSS 25.0 software was used to conduct frequency analysis, reliability analysis, factor analysis, and multiple regression analysis based on a survey results conducted upon 217 people in their 20s. The empirical analysis results are as follows: First, collaboration fashion product selection factors consisted of 'product originality', 'designers and artists' reputation', 'product reliability', and 'products' aesthetic impression'. Second, the selection factors of fashion products had a positive influence on product preferences. Third, the preference for collaboration fashion products had an influence on intention of purchase and intention of recommendation. Fourth, collaboration fashion product selection factors affected intention of purchase. Fifth, selection factors of collaboration fashion products were found to have a significant impact on the intention recommendation.

• Journal of Power Electronics
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• v.14 no.1
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• pp.165-174
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• 2014

The cascaded H-Bridge Dynamic Voltage Restorer (DVR) is used for protecting high voltage and large capacity loads from voltage sags. The LC filter in the DVR is needed to eliminate switching ripples, which also provides an accurate tracking feature in a certain frequency range. Therefore, the parameter optimization of the LC filter is especially important. In this paper, the value range functions for the inductance and capacitance in LC filters are discussed. Then, parameter variations under different conditions of voltage sags and power factors are analyzed. In addition, an optimized design method is also proposed with the consideration of multiple impact factors. A detailed optimization procedure is presented, and its validity is demonstrated by simulation and experimental results. Both results show that the proposed method can improve the LC filter design for a cascaded H-Bridge DVR and enhance the performance of the whole system.

• Computational Structural Engineering
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• v.1 no.1
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• pp.123-133
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• 1988

A method to calculate maximum dynamic deflection, which is close to the measured deflection, was proposed by comparing the real deflection with the claculated one in three span continuous highway steel bridge. From this, the pattern of variation of impact factors depending an vehicle speeds and weights was studied in simple and continuous bridges. From the numerical analysis, it was known that the maximum dynamic deflection which is close to the measured one could be obtained by using the transformed flexural rigidity of a bridge, and the factors are generally increased with increasing vehicle speed. However, it was thought that there are some problems in the code specification about the impact factors of the continuous bridges.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.417-425
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• 2020

This paper investigates the potential impact of external factors on bid/no-bid decision for supervision consultant service on construction project in Hanoi, the capital of Vietnam. The data used in this study are secondary data taken from annual reports and sourced from the Department of Public Procurement, Ministry of Planning and Investment in Hanoi. Besides, to identify the impact of external factors on bid/no-bid decision for supervision consultant service on construction project in Hanoi, the study collected data from 272 qualified questionnaires from bidders doing business in Hanoi. Cronbach's Alpha, EFA and regression model are used to explore the impact of each independent variable on bid/no-bid decision for supervision consultant service on construction project. The results show that three external determinants, including Project characteristic (PC), Legal codes (LC) and Competition (C) are affecting bid/no-bid decision for supervision consultant service on construction project in Hanoi. Among them, Project characteristic (PC) and Legal codes (LC) have positive relationships with bid/no-bid decision for supervision consultant service on construction project, whereas Competition (C) negatively affects bid/no-bid decision for supervision consultant service on construction project. It means the more contractors actually participate in a bid, the less bid/ no-bid decisions are made.

• Journal of Distribution Science
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• v.14 no.7
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• pp.33-44
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• 2016

Purpose - This study aims to provide domestic franchise coffee shops with useful information by analyzing the impact of servicescape and the ability to provide service on the customer satisfaction and loyalty in franchise coffee shops in Seoul. Research, data, and Methodology - The data were collected for a month from 1^st in February, 2016 through judgement sampling. Then, the available collected data were analyzed with SPSS 19.0 package. Results - The results from this study are as follows. First, the servicescape factors, which have impact on a franchise coffee shop's customer satisfaction, are determined to be interior, cleanliness and coziness. Next, the ability to provide service affects customer satisfaction. Third, servicescape factors have impacts on customer satisfaction. Also, the service from a coffee shop affects customer loyalty. Therefore, a customer's satisfaction through services of a coffee shop has an impact on customer loyalty. Conclusions - It is important to have not only the ability to provide service but also servicescape factors, such as interior, cleanliness and coziness in order to be distinct from other competitors. These difference might create customer satisfaction and retention which will bring profits.