• The Korean Journal of Franchise Management
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• v.11 no.4
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• pp.17-29
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• 2020

Purpose: As the untact culture has spread due to the recent COVID-19, the service industry as well as the beauty salon is shrinking. In order to overcome such a crisis in beauty salons, the lower dimension of beauty salon service quality is divided into servicescape, technical service, and employee service, and actions are taken with the 'perceived value of the customer' as a parameter. In this study, S-O-R(Stimulus-Organism-Response) theory was applied for customer-centered analysis, and gender and regularity were selected as moderator variables to add practical implications. Research design, data, and methodology: All constructs were measured using items developed and used in the previous study. A total of 261 questionnaires were collected online using NaverForm. The data were analyzed using factor analysis, correlation analysis, and measurement model analysis with SPSS 22.0 and AMOS 22.0. After testing the research model and hypothesis for the entire group, a multi-group analysis was conducted by dividing into male and female groups, regular customers, and non-regular customers. Results: First, this study showed that the service environment of beauty salon customers had a negative (-) effect on perceived utilitarian value, and the technical service and perceived hedonic value had a positive (+) effect on the customer's behavioral intention. Technical service and employee service had a positive (+) effect on perceived hedonic value, but perceived hedonic value did not affect customer's behavioral intention. Second, there is no statistically significant difference in each path between male and female groups. Third, there was a statistically significant difference between regular customers and non-regular customers, only the path that the servicescape influences the perceived hedonic value. Conclusion: According to the results of this study, technical service and utilitarian value should be considered in order to induce behavioral intention of customers, and technical service quality should be considered first. Also, operating a beauty salon requires a differentiated approach to the salon servicescape according to the ratio of non-regular and regular customers. The beauty salon servicescape generally showed negative practical value for non-regular customers, but positive for the Hedinic value for servicescape such as comfortable service and clean interior for regular customers.

• Journal of Distribution Science
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• v.12 no.12
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• pp.75-82
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• 2014

Purpose - Due to the rapidly changing environment, the needs of information distribution are emphasized more than ever before. As information changes to cater to diversity, professionalism, and detailed segmentation, this information is produced exponentially. Many researchers working in intelligence agencies are feeling the need to establish a comprehensive information management and information distribution system in a systematic and more effective manner. Mobile marketing is based on communication when consumers can access information using GPS systems whatever their location may be when they are on a trip. Until recently, Korean companies have been struggling to perform well in the larger mobile tourism information service (MTIS) for Chinese tourists, which is regarded as a blue ocean area. The principal dimensions of the characteristics of a mobile tourism information service were analyzed, and the influence on perceived value and satisfaction was identified. Moreover, the relationship among the variable satisfaction and using intentions was empirically analyzed. Research design, data, and methodology - This study examined the structural relationship among mobile tourism information features, perceived value, satisfaction, and behavioral intentions. It is based on analyzed data from questionnaires involving advanced research. A questionnaire survey targeting Chinese students using a mobile tourism information service in Korea was conducted. A total of 230 questionnaires were circulated, and 221 questionnaires were used for empirical analysis, excluding invalid data. The data were analyzed with structural equation modeling with SPSS 21.0 statistic package reliability analysis, factor analysis, and regression analysis were implemented, and the effects of the mobile tourism information service features on perceived value, satisfaction, and using intentions were presented. Results - First, mobile tourism information service features have a direct positive effect on the practical value, and do not affect the hedonic value. Second, perceived value has a statistically positive effect on satisfaction. Third, perceived value has a positive effect on behavioral intentions. Fourth, satisfaction has a direct positive effect on behavioral intentions. Conclusion - MTIS (mobile tourism information service) involves personal, social, and technical characteristics. We have analyzed the effects of mobile tourism information service on perceived value, and on satisfaction and using intentions. First, the study shows that the characteristics of mobile tourism information service and perceived value in relation to mobile tourism information service usage are important for marketing in the Chinese market. Moreover, after using a mobile tourism information service, the effect on practical value is more than on hedonic value. We could not analyze the program for tourism information service extensively, and used only questionnaires from Chinese students in Korea. In the future, there should be research on the programs for a tourism information service. We expect to study the MTIS program in greater detail, and to improve the quality and reputation of MTIS through the analysis of its program. We hope that this research will allow an evaluation of the relationship between Korea and China regarding MTIS.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.5 no.3
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• pp.76-85
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• 2024

The purpose of this study is to propose a new method of analysis focusing on interconnections between species rather than traditional biodiversity analysis, which represents ecosystems in terms of species and individual counts such as species diversity and species richness. This new approach aims to enhance our understanding of ecosystem networks. Utilizing data from the 4th National Natural Environment Survey (2014-2018), the following eight taxonomic groups were targeted for our study: herbaceous plants, woody plants, butterflies, Passeriformes birds, mammals, reptiles & amphibians, freshwater fishes, and benthonic macroinvertebrates. A co-occurrence frequency analysis was conducted using nationwide data collected over five years. As a result, in all eight taxonomic groups, the degree value represented by a linear regression trend line showed a slope of 0.8 and the weighted degree value showed an exponential nonlinear curve trend line with a coefficient of determination (R²) exceeding 0.95. The average value of the clustering coefficient was also around 0.8, reminiscent of well-known social phenomena. Creating a combination set from the species list grouped by temporal information such as survey date and spatial information such as coordinates or grids is an easy approach to discern species distributed regionally and locally. Particularly, grouping by species or taxonomic groups to produce data such as co-occurrence frequency between survey points could allow us to discover spatial similarities based on species present. This analysis could overcome limitations of species data. Since there are no restrictions on time or space, data collected over a short period in a small area and long-term national-scale data can be analyzed through appropriate grouping. The co-occurrence frequency analysis enables us to measure how many species are associated with a single species and the frequency of associations among each species, which will greatly help us understand ecosystems that seem too complex to comprehend. Such connectivity data and graphs generated by the co-occurrence frequency analysis of species are expected to provide a wealth of information and insights not only to researchers, but also to those who observe, manage, and live within ecosystems.

• Journal of Ocean Engineering and Technology
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• v.33 no.3
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• pp.222-228
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• 2019

An extreme value analysis (EVA) is essential to obtain a design value for highly nonlinear variables such as long-term environmental data for wind and waves, and slamming or sloshing impact pressures. According to the extreme value theory (EVT), the extreme value distribution is derived by multiplying the initial cumulative distribution functions for independent and identically distributed (IID) random variables. However, in the position mooring of DNVGL, the sampled global maxima of the mooring line tension are assumed to be IID stochastic variables without checking their independence. The ITTC Recommended Procedures and Guidelines for Sloshing Model Tests never deal with the independence of the sampling data. Hence, a design value estimated without the IID check would be under- or over-estimated because of considering observations far away from a Weibull or generalized Pareto distribution (GPD) as outliers. In this study, the IID sampling data are first checked in an EVA. With no IID random variables, an automatic resampling scheme is recommended using the block maxima approach for a generalized extreme value (GEV) distribution and peaks-over-threshold (POT) approach for a GPD. A partial autocorrelation function (PACF) is used to check the IID variables. In this study, only one 5 h sample of sloshing test results was used for a feasibility study of the resampling IID variables approach. Based on this study, the resampling IID variables may reduce the number of outliers, and the statistically more appropriate design value could be achieved with independent samples.

• Journal of Environmental Impact Assessment
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• v.23 no.3
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• pp.187-196
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• 2014

The objective of this study is to evaluate and analyze Osu stream watershed water environment system. The data were collected from January 2009 to December 2011 including water temperature, pH, DO, EC, BOD, COD, TOC, SS, T-N, T-P and discharge. The data were used for principle component analysis and factor analysis. The results are as followes. The primary factors obtained from both the principal component analysis and the factor analysis were BOD, COD, TOC, SS and T-P. Once principal component analysis and factor analysis have been performed with the collected data and then the results will be applied to both simple regression model and multiple regression model. The regression model was developed into case 1 using concentrations of water quality parameters and case 2 using delivery loads. The value of the coefficient of determination on case 1 fell between 0.629 and 0.866; this was lower than case 2 value which fell between 0.946 and 0.998. Therefore, case 2 model would be a reliable choice.The coefficient of determination between the estimated figure using data which was developed to the regression model in 2012 and the actual measurement value was over 0.6, overall. It can be safely deduced that the correlation value between the two findings was high. The same model can be applied to get TOC concentrations in future.

• Smart Media Journal
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• v.10 no.1
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• pp.108-115
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• 2021

This study investigated the relationships between the analytics capability and value of big data and business performance for big data analysts of business organizations. The values that big data can bring were categorized into transactional value, strategic value, transformational value, and informational value, and we attempted to verify whether these values lead to business performance. Two hundred samples from employees with experience in big data analysis were collected and analyzed. The hypotheses were tested with a structural equation model, and the capability of big data analytics was found to have a significant effect on the value and business performance of big data. Among the big data values, transactional value, strategic value, and transformational value had a positive effect on business performance, but the impact of informational value has not been proven. The results of this study are expected to provide useful information to business organizations seeking to achieve business performance using big data.

• Industry Promotion Research
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• v.8 no.3
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• pp.201-210
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• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.215-220
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• 2020

The purpose of this study is to analyze the structural relationship among expectation value(relational, hedonistic), brand image, brand attitude, continuance viewing intention. The survey subjects to achieve the purpose of this study were selected the 521 YouTube sports contents Viewer in the metropolitan area. Data processing was done with SPSS 23 for frequency analysis, Cronbach's α analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, both relational value and,, hedonistic value had a positive effect on the brand image. Second, both relational value and,, hedonistic value had a positive effect on the brand attitude. Third, both brand image and brand attitudee had a positive effect on the brand attitude.

• Journal of Korean Society for Atmospheric Environment
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• v.12 no.3
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• pp.323-332
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• 1996

Precipitation samples were collected by the wet-only sampling method at Seoul from September 1993 to June 1995. Sample were analysed for the anions $(NO_3^-, NO_2^-, SO_4^{2-}, Cl^-, and F^-)$ and cations $(Na^+, K^+, Ca^{2+}, Mg^{2+}, and NH_4^+)$ in addition to pH and electric conductivity. In order to establish the chemical analysis data of high quality, the assurance checks for analytical data of precipitation were performed by considering the ion balance and by comparing the measured conductivity with the calculated conductivity. As we applied the various assurance checking methods by the ion balance used until recently to a data set measured in this study, the f value expressed as $\Sigma C/\Sigma A$ was found to be not appropriate for the data screening. Also, the scattering plot between cations and anions in each sample was found to show the general tendency of ion balance but was proved to not quantitate the standard of data screening at a data set of samples of various concentration levels. The h value defined as (A-C)/C for C $\geq$ A and (A-C)/A for C < A was used to check the ion balance. However, the standard of data screening by h value must very in response to total ion concentration of samples. In this study, the quality assurance of chemical analysis data was checked by considering both the ion balance of evaluating by h value and the conductivity balance. Further the quality control was achieved by these quality assurance methods. As the result, 67 samples among total 77 were obtained as valid. As the central tendency value for a statistical summary in the analytical parametr of samples, the volume-weighted mean value was found to represent more the general chemistry of precipitation rather than the arithmetic mean. The volume-weighted mean pH was 5.0 and 25% of samples was less than this mean. The concentrations of sufate and nitrate in precipitation were 90.4 ueq/L and 32.4 ueq/L which made up 59% and 21% of all anions. The raion of $SO_4^{2-}/(NO_3^- + NO_2^-)$ in precipitation was 2.7, which indicates that the contributions of $H_2SO_4$ and $HNO_3$ to the acidity of precipitation are 70% and 30%, respectively.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.507-514
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• 2016

This study was to find out relations among sports values of participants in sport for all, satisfaction of participation and intention to adhere to exercise. Objects of study were participants in sport for all and data had been collected by convenience sampling method. Among 250 copies of data, 233 copies had been used for final analysis. Collected data had been analyzed with frequency analysis, correlation analysis, multiple regression analysis by using of SPSS 21.0. The results from those processes are as below. First, value of personality, physical value, psychological value, and social value have positive effects on satisfaction of participation. Second, value of personality, psychological value, value of entertainment and physical value have positive effects on intention to adhere to exercise.