• Korean Institute of Interior Design Journal
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• v.18 no.6
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• pp.202-210
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• 2009

This research was undertaken to prove the relationship between street mall activation and architectural plan design. The research methodology was established based on the analysis of data of two existing street malls in Korea (Western Dome & LaFesta) and theoretical studies of outdoor space design. The findings from this study are the following: First, building blocks with segments in every 50m or so are ideal for detailed communication between visitors and building contents. Second, the ratio of width of main corridor and building height should be less than 1 to provide intimate feel and keep visitors' attention concentrated in the facility. Third, store unit should have more storefronts to be exposed more to passers-by and lead more pedestrian traffic. Fourth, shape of store unit would rather be wide and shallow, instead of narrow and deep, to have more exposure to the central corridor. Fifth, the building block of the busiest(most expensive) area that is usually at the main entrance area of street mall should be flexible to fit more smaller units to maximize the profitability. Sixth, the main entrance of store should face the main pedestrian corridor to induce the influx of visitors. Lastly seventh, anchor tenant that has strong name recognition is usually located on basement or higher level to induce pedestrian traffic into the mall, key tenants that are strong and familiar brand names should be located at the corner of building block with spacing to attract visitors, provide even distribution of traffic, and support wayfinding, and local tenant should be located at small units along the central corridor or remainder spaces occurred from building core layout.

• Journal of Fashion Business
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• v.23 no.3
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• pp.85-100
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• 2019

This study examines changes in consumer perceptions of fashion shows, which are critical elements in the apparel industry and a means to represent a brand's image and originality. For this purpose, big data in clothing marketing, text mining, semantic network analysis techniques were applied. This study aims to verify the effectiveness and significance of fashion shows in an effort to give directions for their future utilization. The study was conducted in two major stages. First, data collection with the key word, "fashion shows," was conducted across websites, including Naver and Daum between 2015 and 2018. The data collection period was divided into the first- and second-half periods. Next, Textom 3.0 was utilized for data refinement, text mining, and word clouding. The Ucinet 6.0 and NetDraw, were used for semantic network analysis, degree centrality, CONCOR analysis and also visualization. The level of interest in "models" was found to be the highest among the perception factors related to fashion shows in both periods. In the first-half period, the consumer interests focused on detailed visual stimulants such as model and clothing while in the second-half period, perceptions changed as the value of designers and brands were increasingly recognized over time. The findings of this study can be utilized as a tool to evaluate fashion shows, the apparel industry sectors, and the marketing methods. Additionally, it can also be used as a theoretical framework for big data analysis and as a basis of strategies and research in industrial developments.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.109-123
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• 2019

Recently, As the desire of consumer gets complexed and demanding, business environment is they are rapidly changing to customer-oriented ones. In order to survive in an age of fierce competition with competitor encompassing changing and customer's needs of consumer company emphasizes market orientation to have a sustainability. It is necessary not only satisfy consumer but also to provide customer delight. We want to see if customer's loyalty can be increased by experiencing C/S and C/D. First, customer's loyalty influences repurchase intention after experiencing customer's satisfaction and customer's delight. Second, customer's satisfaction is influenced by customer's satisfaction level. Especially Joy is one of the most important factor affecting customers delight. Third, customer's loyalty is one of the most important factor affecting customer's satisfaction. Finally, through this study, it was found tha customer's satisfaction and customer's satisfaction improve the repurchase relationship which is crucial from customer's loyalty.

• Clinics in Shoulder and Elbow
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• v.22 no.4
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• pp.173-182
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• 2019

Background: Patient reported outcome measures assess clinical progress from the patient's perspective. This study explored the relationship between shoulder outcome measures (The Disability of the Arm, Shoulder and Hand [DASH], American Shoulder and Elbow Surgeons Standard Shoulder Assessment score [ASES], and Constant score) by comparing the best possible scores obtained in an asymptomatic population compared to overall perception of health, as measured by the SF-36 outcome measure. Methods: Volunteers (age range, 20-69 years) with asymptomatic shoulders and no history of shoulder pain, injury, surgery, imaging, or pathology (bilaterally) were included. The DASH and ASES measures were completed by 111 volunteers (72 female, 39 male), of which 92 completed the Constant score (56 female, 36 male). The SF-36 was completed by all volunteers (level of evidence: IV case series). Results: The mean (${\bar{x}}$) score for ASES measure on the right shoulder was higher for the left-hand dominant side (${\bar{x}}=100.00$ vs. 95.02, p-value<0.001); no other significant differences. Better SF-36 scores were associated with better DASH scores. Our prediction models suggest that perception of overall health affects the DASH scores. Sex affected all three shoulder measures scores. Conclusions: Comparing scores of shoulder outcome measures to the highest possible score is not the most informative way to interpret patient progress. Variables such as health status, sex, and hand dominance need to be considered. Furthermore, it is possible to use these variables to predict scores of outcome measures, which facilitates the healthcare provider to deliver individualized care to their patients.

• Journal of Popular Narrative
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• v.27 no.1
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• pp.341-357
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• 2021

Didier Éribon's dialogue with Ernst Gombrich, first published in 1991 in France, stands as a curious example of interpreting a scientific mind into a popular narrative. On the occasion of its brand new translation in Korean, this essay examines the encounter of two different languages, that of scholarly art history and the other, of "entretien". Éribon's previous interviews with Georges Dumézil and Claude Lévi-Strauss have already shown the perfect use of dialogue that interprets in simple words some currents of European thoughts of 20th century at its highest level. The double identity found in the extraordinary profile of the author of The Story of Art should help us deal with this particular form of dialogue in depth, and expect another possibility of explaining and reconstructing academia.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.141-165
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• 2023

With the advent of the fourth industrial revolution, technologies such as the Internet of Things, artificial intelligence and cloud computing are developing rapidly, and smart homes enabled by these technologies are rapidly gaining popularity. To gain a competitive advantage in the global market, companies must understand the differences in consumer needs in different countries and cultures and develop corresponding business strategies. Therefore, this study conducts a comparative analysis of consumer reviews of smart homes in South Korea and China. This study collected online reviews of SmartThings, ThinQ, Msmarthom, and MiHome, the four most commonly used smart home apps in Korea and China. The collected review data is divided into satisfied reviews and dissatisfied reviews according to the ratings, and topics are extracted for each review dataset using LDA topic modeling. Next, the extracted topics are classified according to five evaluation factors of Perceived Usefulness, Reachability, Interoperability,Trustness, and Product Brand proposed by previous studies. Then, by comparing the importance of each evaluation factor in the two datasets of satisfaction and dissatisfaction, we find out the factors that affect consumer satisfaction and dissatisfaction, and compare the differences between users in Korea and China. We found Trustness and Reachability are very important factors. Finally, through language network analysis, the relationship between dissatisfied factors is analyzed from a more microscopic level, and improvement plans are proposed to the companies according to the analysis results.

• Journal of the FoodService Safety
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• v.5 no.1
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• pp.12-18
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• 2024

"Dangol" is a native Korean word originating from 18 century folklore. Dangol is often used as a keyword and term in consumer marketing and foodservice industry research. However, a variety of other terms have also been used to express the concept of Dangol, including loyalty, brand loyalty, Choongsung, Choongsung level, loyal customer, Dangol customer, Dangol intention, and store loyalty. Due to a lack of clear conceptualizations of Dangol, terms such as Dangol, Choongsung, and loyalty are often mixed in their use, even in a single study. This study confirmed whether Dangol is being used interchangeably with loyalty in domestic literature by applying an integrated literature review of studies found on Google Scholar. Of the studies that have been published since 1990, 219 studies were analyzed. The first analysis yielded eight research keywords related to Dangol. Dangol intention, Dangol doctor, and Dangol faith were the most commonly used at 18.2%, followed by Dangol customer and Dangol relationship at 13.6%. The second analysis yielded nine research keywords related to loyalty. Out of the 99 cases, loyalty program occurred most frequently at 46%, followed by loyalty at 20%. The third analysis yielded 22 research keywords related to Choongsung in total. Customer Choongsung was most frequent at 28%, followed by trademark Choongsung at 14%. Finally, the results of the content analysis on Dangol was summarized as "designated relationship for business transaction and the relationship between the seller", "the customer when a single transactional relationship is established continuously".

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• Culinary science and hospitality research
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• v.20 no.2
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• pp.199-213
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• 2014

Japanese restaurant owners seek to secure their competitive advantage by implementing a unique competition strategy that may overcome hostile environment. Brand power, aggressive expansion and the partnership strategy with other businesses may be suggested. The present study is to find out the competitive advantages of Japanese restaurants, to compare the importance and satisfaction by different customer factors of choices and then, to identify what kinds of factors affect customer satisfaction. Total 205 copies of questionnaire, out of 230 distributed, were used for analyses. Cronbarch's alpha coefficient of all 20 items was 0.911. In terms of importance, Cronbarch's alpha coefficients were 0.887(food), 0.796(menu), 0.851(employee), 0.815(service), and 0.730(physical environment). For satisfaction, the coefficients were 0.876(food), 0.860(menu), 0.880(employee), 0.851(service), 0.730(physical environment). In addition, the exploratory factor analysis showed an acceptable factor loading, supporting 20 items' validity. The result showed that customers' perceptions of the importance of Japanese restaurant service quality was higher than their level of satisfaction in general. In particular, IPA analysis revealed that food and service factors were well operated as located in the first quadrant. However, service factor located in the second quadrant was perceived to be important yet perceived as being satisfied poorly. So this study suggests that Japanese restaurant owners should concentrate on the attributes included in this quadrant to improve the quality of foodservice. Lastly, menu and physical environment factors were located in the third quadrant showing low level of importance and satisfaction. On the basic of the IPA analysis, Japanese restaurant owners should identify their strengths and weaknesses and draw up a plan to improve service quality and to maximize their profits.

• Journal of Technologic Dentistry
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• v.31 no.2
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• pp.15-22
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• 2009

This study examined and analyzed the demographical characteristics of the study target and their expectancy level on the factors in selecting dental medical institutes (basic elements of dental clinics, traffic convenience, physical environment of dental clinic and explicit qualification of dentist) with the questionnaire survey method with 222 questionnaires answered and returned (return rate 88.8%) out of 250 copies distributed to the 1st, 2nd and 3rdyear college students attending technical colleges located in Cheongwon-Gun, Chungbuk, Korea from March 26 to April 7, 2009. The results of this study are as follows: 1. The demographical characteristics of the study target group consisting of 225 college students include 92.3% of age 20s (205 students); 123 males (55.4%) and 99 females (44.6%); the number of those who had at least one experience to visit dental clinic was 199 (89.6%) and 23 (10.4%) of those with no-visiting experience. 2. The descriptive statistics for the selection factor showed that basic elements, traffic convenience, physical environment and explicit qualification of dentist were regarded important as in order. In particular, the factors considered in selecting dental clinic was ordered from most to least in their importance beginning with cleanness of dental clinic as the most important factor, dentist's trustworthiness, kindness of medical staffs, low medical fee, dentist's knowledge level, modernized medical equipments and convenience in using medical facilities as the least. On the contrary, brand name of dental clinic, age, college, sex and appearance of dentist were rated low in order in terms of their importance in selecting dental clinic. 3. As for the difference in the selection factors across demographical characteristics, while male students placed importance on traffic convenience and physical environment of dental clinic, female students placed more importance on dentist's qualification and basic elements of dental clinic. With respect to the difference in the selection factors across the visiting experiences, while those with visiting experience regard traffic convenience more importantly, those without visiting experience regarded physical environment of dental clinic, dentist's qualification and basic elements of dental clinic. 4. In terms of pearson correlation coefficient, the result showed that all aspects in selecting dental clinic were positively correlated. Particularly, the correlation between physical environment of dental clinic and dentist's explicit qualification were correlated highest. Significant positive correlations were found high in traffic convenience, physical environment of dental clinic, dentist's explicit qualification and basic elements of dental clinic in order.