• Communications for Statistical Applications and Methods
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• v.6 no.1
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• pp.25-32
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• 1999

A single outlier can influence on the least squares estimators and can invalidate analysis based on these estimators. The Cook's statistic has been introduced to measure influence of individual data point on parameter estimation and the quantile of the F distribution is recommended as a reference value. but in practice subjective judgement is applied in the choice of appropriate quantile. A simple reference value is introduced in this paper which is developed by approximating conditional quantities of Cook's measure. The performance of the proposed criterion is evaluated through analysis of real data set.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2002.09a
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• pp.28-34
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• 2002

The b-value in the magnitude-frequency relationship logN(m) = $\alpha$ - bmwhere N(m) is the number of earthquakes exceeding magnitude m, is important seismicity parameter In hazard analysis. Estimation of the b-value for earthquake data observed on KSRS array network is done employing the maximum likelihood technique. Assuming the whole Korea Peninsula as a single seismic source area, the b-value is computed at 0.9. The estimation for KMA earthquake data is also similar to that. Since estimate is a function of minimum magnitude, we can inspect the completeness of earthquake catalog in the fitting process of b-value. KSRS and KMA data lists are probably incomplete for magnitudes less than 2.0 and 3.0, respectively. Examples from probabilistic seismic hazard assessment calculated for a range of b-value show that the small change of b-value has seriously effect on the prediction of ground motion.

• Journal of the Korean Home Economics Association
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• v.48 no.1
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• pp.27-40
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• 2010

The objectives of this study were to investigate differences in shopping style and consumption value of apparel product type, and to establish the effects of consumption value on shopping style. A questionnaire was used to collect data from 263 women aged between 20 to 49 in Gwangju on their shopping style and consumption value according to formal and casual product type. Collected data were subjected to frequency analysis, factor analysis, ANOVA, t-test and multiple regression analysis using statistical program SPSS(version 17.0). Results showed that shopping style could be influenced by six factors: fashion-recreational, quality-brand, impulsive, confused, brand-loyal, and price conscious consumer. Clothing consumption value was influenced by five factors: emotional, functional, epistemic, social, and situational value. Shopping style and clothing consumption value were significantly different between a formal product purchaser and a casual product purchaser. Consumption value had a significant influence on shopping style of the formal product purchaser and also the casual product purchaser.

• Journal of Preventive Medicine and Public Health
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• v.33 no.4
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• pp.426-435
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• 2000

Objectives : To determine the relationships among quality, satisfaction, value and purchase intention in health care service. Methods : The data were gathered from out-patients who had used hospital services. They were asked to assess service quality, satisfaction, service value, and purchase intention. A total of 557 usable questionnaires were gathered. The data were analyzed using SAS version 6.12. The analysis methods employed in the study were confirmatory analysis and covariance structural analysis. Results : Service quality exhibited a significant and positive relationship with satisfaction, service value, and purchase intention. Furthermore, satisfaction had a significant and positive relationship with purchase intention. And finally, service value had a significant and positive relationship with both satisfaction and purchase intention. Based on these findings, it is evident that satisfaction was a mediator between service quality and purchase intention. Also service value played a mediating role between service quality and satisfaction. Conclusions : These results suggest that service quality is an antecedent of satisfaction and sonics value, and exerts a stronger influence on purchase intentions than satisfaction and service value do. Thus, managers may need to emphasize service quality in health care.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.83-92
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• 2019

Advertising signboards are designed for the visibility to affects recall and recognition of costumers. It is well know that the visibility from images is created by the value difference among colors. The research defines whether the background color combination of outdoor signboards is configured to maximize visibility, by a series of color value variation in complex commercial facilities. The subject of study is to examine how the visibility is made by the color combination since visibility cannot be obtained independently. Two steps of analysis were performed to confirm that the color composition of signboards was based on the color value difference. The first is to analyze that the entire colors of signboards are clearly categorized as different value groups. All components of colors, hue, value and chroma had been analyzed by color aesthetic measures to prove that the value variation has the only regularity and the principle of composition. The second step is a further verification with an ample amount of samples to determine whether series of signboards create a value altering pattern. The data for analysis is gained by colorimetric survey and the color data are used for exponentializing the degree of combining, which shows selective affinity between each pair colors.

• Asia pacific journal of information systems
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• v.32 no.3
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• pp.477-495
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• 2022

This paper proposes how to design and implement data-driven strategies by investigating how a firm can increase its value using data science. Drawing on prior studies on architectural innovation, a behavioral theory of the firm, and the knowledge-based view of the firm as well as the analysis of field observations, the paper shows how data science is abused in dealing with meso-level data while it is underused in using macro-level and alternative data to accomplish machine-human teaming and risk management. The implications help us understand why some firms are better at drawing value from intangibles such as data, data-science capabilities, and routines and how to evaluate such capabilities.

• Management & Information Systems Review
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• v.30 no.4
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• pp.73-92
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• 2011

The purpose of this study was to investigate the differences of influence between luxury brand value and preferences according to consumers' regulatory focus. For data collection, research questionnaires were responded by females consumers living in Pusan and Ulsan. The collected data were analyzed according to the frequency-factor analysis using SPSS 14.0 for windows Package, the factor analysis using Varimax, reliability analysis, T-test, multi-regression analysis, and chow-test. The results were as follows: First, Based on an independent samples t-test, It was found that prevention-oriented respondents were significantly more qualify value and economic value than promotion-oriented respondents, promotion-oriented respondents were significantly more aesthetic value than prevention-oriented respondents. Second, concerning the worth of luxury brands that aesthetic value, qualify value, economic value, conspicuous value, and emotional value significantly affected the consumers' preference about luxury brand. On the other hand, only social value of the luxury brand did not have a significant effect on the consumers' preference about luxury brand. Second, the study was to investigate whether the luxury brand value has an effect on the brand preference depending on the consumer's regulatory focus. The results showed that there were different perceived values of luxury brand preference between the promotion-focused and the prevention-focused consumers. The promotion focus group had the effect on conspicuous value and emotional value, while the prevention focus group had the effect on quality value and economic value for luxury brand preference.

• Journal of Distribution Science
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• v.21 no.9
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• pp.23-34
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• 2023

Purpose: This study aims to determine the effect of business processes, quality of human resources and organizational culture and its distribution in creating value to achieve competitive advantage. Research Design, Data, and Methodology: Data collection in this study was carried out by distributing questionnaires to 90 employees of Delivery service companies in Makassar City. Partial Least Square (PLS) analysis was used as data analysis. Result: this study indicates that business processes do not directly affect competitive advantage, but business processes will have an effect if they go through the value creation process as an intervening variable, while the quality of human resources and work environment have a direct effect on competitive advantage and have a direct effect on Value creation. The quality of human resources and organizational culture also have an indirect effect on competitive advantage through the value creation process. This research also indicates that value creation has an effect on competitive advantage. Conclusion: Competitive advantage will be realized if organizational processes run well, company management that able to carry out good organizational processes and able to create a conducive organizational culture, will be able to distribute company resources to create value that leads to achieving competitive advantage for companies in the future.

• Wind and Structures
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• v.1 no.1
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• pp.25-42
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• 1998

Improvements to the Gumbel method of extreme value analysis of wind data made over the last two decades are reviewed and illustrated using sample data for Jersey. A new procedure for extending the Gumbel method to include M-th highest annual extremes is shown to be less effective than the standard method, but leads to a method for calibrating peak-over-threshold methods against the standard Gumbel approach. Peak-over-threshold methods that include at least the 3rd highest annual extremes, specifically the modified Jensen and Franck method and the "Method of independent storms" are shown to give the best estimates of extremes from observations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.112-114
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We conducted a meta-analysis and review of between external factors on perceived value in e-commerce researches. This study focused a total of 11 research papers that established causal relationships between external factors on perceived value in e-commerce published in Korea academic journals during 2000 and 2016. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.