• Journal of Fashion Business
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• v.12 no.6
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• pp.124-137
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• 2008

The present study was implemented to understand high school girls' buying patterns of fashion products at online and offline shopping malls; and to obtain the information needed for the development of online and offline mall marketing strategies that are differentiated from each other. The study was conducted through a descriptive survey method using questionnaires. The sample consisted of 242 girls from four high schools located in Seoul. Descriptive statistics, cross-tabulation and a paired t-test were used for the analysis of the data. Results are as follows: First, most of the high school girls (82.2%) had experience of purchasing fashion products at online shopping malls. And, those who have purchasing experience at online shopping malls, compared to those who do not have such purchasing experience, showed a higher purchasing intension at online shopping malls. Second, both the degree of pre-purchase searching and ongoing searching was higher in online shopping than in offline shopping. Third, the quality of material, place produced, brand name, and store atmosphere/type were considered more in offline shopping than in online shopping. Shopping convenience and information service about the products were considered more in online shopping than in offline shopping. Fourth, the purchasing frequency of underwear and hair accessaries was higher at offline stores than online shopping malls, but the purchasing frequency of bags was higher in online stores than offline stores. When the differences between the purchasing patterns at online shopping malls and offline stores are considered carefully, marketing activities would be more effective.

• Journal of muscle and joint health
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• v.10 no.2
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• pp.167-187
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• 2003

Ankylosing spondylitis(AS) is one of the most common forms of chronic arthritis causing pain and progressive disability. The purposes of this study were 1) to develop an offline educational program and online educational program for the patients with ankylosing spondylitis; and 2) to test the effectiveness of each program in terms of changes in ankylosing spondylitis self-efficacy, exercise continuity disease activity, physical functioning, and depression. The convenient samples for three groups were selected acceding to the inclusion criteria. Online education group consists of 7 patients, and 14 patients were included for the offline group, while 12 patients were assigned to the control group. Outcomes variables included self efficacy, exercise continuity, disease activity, physical function, and depression and the reliability of each measure was ranged from .88 to .95 in the present study. The offline educational program demonstrated positive effects on self-efficacy, exercise continuity, disease activity, and depression, whereas the online educational program on exercise continuity, disease activity, and depression. The self-efficacy was showed positive effect only in the offline educational program, whereas physical functioning did not improve in both intervention groups. These partial improvements may be due to the small sample size and the methods of online education program. In conclusion, the effectiveness of the offline and online educational programs was partially supported in the present study. For the improvement of these programs, the further study would be necessary to apply this kind of intervention program with larger sample and to test the psychometric of the newly development tools.

• Journal of Fashion Business
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• v.18 no.3
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• pp.1-13
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• 2014

This study investigated the store switching behavior of fashion stores targeting college students. A random sample of college students completed a questionnaire that contained measurements of store property, relationship quality, switching intent of store, preference of on/offline store, purchase of brand/non-brand product and monthly clothing expenses. The factors extracted as switching behavior of on/offline fashion store are store property, relationship quality and switching intent of store. Dimensions of store switching behavior in online shopping mall is revealed to be composed of diversity/ easy to search, store reliability, home page layout, sales promotion, reliability, commitment and switching intent of store. Also those of offline store is revealed to be composed of store comfort/salespeople service, product diversity, store location, product price, reliability, commitment and switching intent of store. The significant differences were found between store switching behavior of college students by preference of on/offline store and purchase of national brand/non brand. It is expected that this results can be used as a basic material for further study and setting up the fashion retailing strategies in fashion store for selling non brand products.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.315-331
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• 2012

In this research, we estimated the number of hits per song and its sampling error from 11 (areas including Gangnam) based on log data compiling the number of hits collected from offline karaoke players in March 2011. Then, we calculated the monetary equivalent of the sampling error under the current system that distribute royalties from the karaoke players to copyright holders(song writers and arrangers) according to the estimated hits. Because of the small sample size, the estimated number of hits had a very large sampling error. This research proposes a more reasonable sample design to estimate the usage of copyrighted music works for a fair distribution of royalties by reducing sampling error.

• The Journal of Information Systems
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• v.29 no.3
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• pp.215-236
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• 2020

Purpose/Design The purpose of this study is summarized as follows. First, we want to derive the quality dimension of the delivery app services based on the experience of the users of the delivery app. Second, we would like to identify the continuous intention to use, taking into account the integrated nature of online and offline quality. Third, the online and offline quality factors of the delivery app services shall be checked in an exploratory manner to see how they affect perceived value, satisfaction, and continuous intention to use. In order to demonstrate the purpose of this study, a self-report survey was conducted in which respondents directly responded. A questionnaire of 295 people was identified as a valid sample and used for the final analysis. Findings The summary of the hypothesis test results is as follows. First, the system quality among the online characteristics does not have a significant impact on both perceived values and user satisfaction. Second, the hypothesis that information quality affects satisfaction and perceived value was adopted. Third, the service quality was shown to be a significant factor affecting perceived value and satisfaction. Fourth, the delivery quality among offline characteristics was found to have no significant effect on perceived value and satisfaction. Fifth, the hypothesis test of commodity quality showed that both perceived value and satisfaction had a significant impact. Sixth, satisfaction in the delivery app service showed a positive effect on the continuous intention to use.

• Bulletin of the Korean Chemical Society
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• v.33 no.10
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• pp.3298-3302
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• 2012

Although offline enrichment of phosphorylated peptides is widely used, enrichment for phosphopeptides using $TiO_2$ is often performed manually, which is labor-intensive and can lead to irreproducible results. To address the problems associated with offline enrichment and to improve the effectiveness of phosphopeptide detection, we developed an automated online enrichment system for phosphopeptide analysis. A standard protein mixture comprising BSA, fetuin, crystalline, ${\alpha}$-casein and ${\beta}$-casein, and ovalbumin was assessed using our new system. Our multidimensional system has four main parts: a sample pump, a 20-mm $TiO_2$-based column, a weak anion-exchange, and a strong cation-exchange (2:1 WAX:SCX) separation column with LC/MS. Phosphorylated peptides were successfully detected using the $TiO_2$-based online system with little interference from nonphosphorylated peptides. Our results confirmed that our online enrichment system is a simple and efficient method for detecting phosphorylated peptides.

• The Korean Journal of Food & Health Convergence
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• v.7 no.1
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• pp.7-15
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• 2021

This study aims to empirically analyze the differences between groups of customers who prefer delivery food, which is rapidly growing amid the COVID-19 pandemic, and those who prefer the traditional practice of visiting offline restaurants. Based on the eating out lifestyle, participants were divided into three groups: participants who prefer food delivery, those who prefer to visit restaurants, and those who favor both. The comparison of differences between the groups was analyzed. A total of 215 questionnaires were distributed, and reliability and validity were verified with a sample of 201 copies, excluding 14 unreliable respondents. Then, a multivariate analysis of variance was used to compare the groups. The results showed that regarding offline restaurants, the group of customers who prefer to visit restaurants valued their atmosphere, while the customers who prefer delivery food valued the reputation of the restaurant. Regarding delivery-specialized restaurants, the group of customers who prefer delivery placed greater value on coupon events and payment convenience than other groups. The results revealed that the difference between the customers who prefer to visit restaurants and those who prefer delivery food was identified through empirical analysis, which provides strategic implications for catering companies and restaurant industries during COVID-19 in Korea.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.89-97
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• 2022

The e-commerce market faces significant credit risks due to the complexity of the industry and information asymmetries. Therefore, credit risk has started to stymie the growth of e-commerce. However, there is no reliable system for evaluating the creditworthiness of e-commerce companies. Therefore, this paper constructs a credit risk evaluation index system that comprehensively considers the online and offline behavior of online retail enterprises, including 15 indicators that reflect online credit risk and 15 indicators that reflect offline credit risk. This paper establishes an integration method based on a fuzzy integral support vector machine, which takes the factor analysis results of the credit risk evaluation index system of online retail enterprises as the input and the credit risk evaluation results of online retail enterprises as the output. The classification results of each sub-classifier and the importance of each sub-classifier decision to the final decision have been taken into account in this method. Select the sample data of 1500 online retail loan customers from a bank to test the model. The empirical results demonstrate that the proposed method outperforms a single SVM and traditional SVMs aggregation technique via majority voting in terms of classification accuracy, which provides a basis for banks to establish a reliable evaluation system.

• Korean Journal of Culture and Social Issue
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• v.28 no.3
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• pp.393-417
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• 2022

The current study analyzes the usage of social network services(SNS) according to one's collectivistic and individualistic tendency and the relationship with addiction. Additionally, the study attempted to controll intrapersonal variables such as gender, personalitly, and age, which affect SNS the usage. Also, Collectivistic-individualistic tendency in SNS and offline environment may not correspond to one another. Therefore, the study measured the collectivistic-individualistic tendency regarding of the two environment separately. For this purpose, we designed a new measurement scale to measure collectivistic-individualistic tendencies in for the SNS by involving a kin vs nonkin context. The sample consisted of 253 adolescents ranging from 13 to 15 years old and 246 adults ranging from 18 to 25 years old, which sums up to 499 samples in total. Results indicated that individualistic tendency within SNS showed a positive relationship with the amount of SNS usage and SNS addiction. Furthermore, female users spent more time on SNS and showed a higher level addiction than males. While adults had longer experience with SNS and spent more time on it daily than adolescents, they did not show a significant difference in regards to SNS addiction. The correlation analysis indicated that collectivistic-individualistic tendencies in SNS were weakly correlated to that of offline environments. The kin individualistic tendency in SNS significantly predicted SNS addiction after controlling for the effect of age, personality, gender, and offline collectivistic-individualistic tendency. Taken together, these findings indicate the need for an appropriate collectivistic-individualist tendency scale that correspond to the SNS context. The results also suggest that kin individualistic tendency in the SNS environment can be the main factor for SNS addiction.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.153-171
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• 2022

To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.