• Journal of Digital Convergence
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• v.14 no.1
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• pp.413-425
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• 2016

This study investigated what effects the relational benefits perceived by the customers of solely operated beauty salons have on customer satisfaction, recommendation intention, and defection intention through the convergence of cosmetology and business management. For this, a total of 322 customers of solely operated beauty salons were chosen as final valid samples. For data analysis, frequency analysis, reliability analysis, confirmatory factor analysis, and correlation analysis were performed using SPSS 15.0 and AMOS 18. For a hypothesis test, lastly, path analysis was conducted using structural equation modeling. The study results found the following: First, among the relational benefits perceived by the customers of solely operated beauty salons, confidence benefits and social benefits had a positive effect on customer satisfaction. Second, the relational benefits perceived by the customers of solely operated beauty salons had a positive effect on recommendation intention. Third, confidence benefits and social benefits had a negative effect on defection intention. Fourth, customer satisfaction had a positive effect on recommendation intention. Fifth, customer satisfaction had a negative effect on defection intention. Sixth, in relationship between the relational benefits perceived by the customers of solely operated beauty salons and recommendation/defection intention, customer satisfaction revealed partial mediating effects.

• Journal of Korean Ophthalmic Optics Society
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• v.20 no.2
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• pp.83-92
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• 2015

Purpose: This study was performed to offer some more effective marketing strategies for optical shops on a basis of analyses of what lifestyles influence most on 'store selection' and 'recommendation intention' and of what properties of 'store selection' influence most on 'recommendation intention'. Methods: Questionnaire surveys were conducted from the customers who visited the optical shops in Seoul and northern Gyeonggi-do region from January 1 to June 30, 2014. It was analyzed via utilizing SPSS v.20.0 statistical package program. Results: The results in lifestyle-factors which influence on store selection were arranged in order as follows: 'stability oriented', 'goal oriented', 'cultural activity oriented'. And the results in value-factors which influence on 'recommendation intention' were arranged in order as follows: 'stability oriented', 'health oriented'. The most positive factor for 'recommendation intention' was revealed as 'dealing with customers' among several factors of 'store selection'. Conclusions: Today's marketing activities for customers should be suited for different lifestyles of customers. Customers who have 'stability oriented', 'goal oriented', and 'cultural activity oriented' lifestyles tend to select optical shops in consideration of 21 items when selecting an optical shop. Customers who have 'stability oriented', and 'health oriented' lifestyles have positive influences related to 'recommendation intention'. Also, it is likely for customers to recommend optical shops to others when the factor 'dealing with customers' meets their expectations.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.8
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• pp.945-953
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• 2014

This study attempts to explore the connectivity among brand personality, shopping value, customer satisfaction and recommendation intention by deriving brand personality image factors of online shopping malls. The analysis results are as follows. First, the brand personality of shopping malls were derived as 'vital', 'familiar', 'credible', 'competent', and 'sophisticated.' Second, shopping value was derived as hedonistic and practical shopping values. Third, it was shown that brand personality of shopping malls has significant impacts on shopping value. In addition, customers' shopping value, customer satisfaction and recommendation intention have significant impacts on each other. It is expected that this study can provide basic information for constructing differentiated marketing strategies in the domestic online shopping malls whose competition is heating up.

• Smart Media Journal
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• v.12 no.7
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• pp.84-92
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• 2023

This study tested the hypothesis through confirmatory factor analysis to confirm the relationship between Brand experiences (Deviant, Entertainment, and Aesthetic experiences) in Metaverse on Interest and Immersion, and to verify whether these Interests and Immersion have a significant impact on Recommendation intention. As a result of the study, it was confirmed that all Brand experience factors had a positive (+) effect on Interest and Immersion, Interest had a positive (+) effect on Immersion, and Interest and Immersion had a positive (+) effect on Recommendation intention.

• Journal of the Korean Society of Costume
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• v.64 no.1
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• pp.77-88
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• 2014

This study examined the cosmetic store attributes that japanese tourists evaluated when purchasing cosmetics in korean cosmetic stores and the effect of those attributes on satisfaction, repurchase intention and recommendation intention. The subjects of this study were 250 Japanese female tourists who had purchase experiences of Korean cosmetics in the stores. Data analysis was conducted using factor analysis, regression analysis, and ANOVA using SPSS 15.0. The result of this study was as follows: First, cosmetic store attributes for Japanese tourists were composed of four factors such as products, store's atmosphere, salesperson and sales promotion. Second, it was shown that the salesperson and store atmosphere attributes have positive effect on cosmetic store satisfaction. Third, it was shown that store satisfaction had a positive effect on both repurchase intention and recommendation intention. Fourth, Japanese tourists' satisfaction on cosmetic store depends on the frequency of visiting Korea, and preference of the Korean Wave.

• Journal of Fashion Business
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• v.11 no.2
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• pp.32-41
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• 2007

This study is aimed at analyzing on purchasing behavioral characteristics of customer in beauty salon and providing the revitalization strategies for korean beauty business. For the goal of this study, on purchasing behavioral characteristics of customer in beauty salon were reviewed in terms of the purchasing decision-making process on the basis of literature. The survey of beauty salon customers mainly from Seoul was used for positive analysis. In analyzing the research data, Frequency Analysis, Descriptive Analysis, Factor Analysis and Multiple Regression Analysis were conducted using $SPSS/PC^+$. The results showed the followings: The choice factors, the overall satisfaction, the revisit intention and the recommendation intention of the beauty salon customers were all affected in order as service, customer relationship with the result of analysis for the relationship between the choice factors of beauty salon customers and behavior after purchasing(overall satisfaction, revisit intention, recommendation intention).

• Information Systems Review
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• v.25 no.4
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• pp.67-87
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• 2023

Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.419-430
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• 2015

This study is to conceptualize nurses' satisfaction, patient satisfaction about nurses and hospital, and patients' revisit and recommendation intention as linear structural equation model, and then, identify the significance of the path coefficient and goodness of the research model. Data were collected from 2,079 nurses and 6,776 patients in 5 university hospitals. The results were as follows: The research model was generally found to be good in terms of goodness of fit. The significance of the path coefficients are as follows. 1)A nurse's satisfaction has great influence on a patient's satisfaction about nurses, 2)A patient's satisfaction about nurses has influence on patient's satisfaction about the hospital, 3)A patient's satisfaction about the hospital has great influence on patient's revisit intention, 4)A patient's satisfaction about the hospital has great influence on patient's recommendation intention. These results will provide basic data for the hospital managers practicing customer satisfaction strategies in their health care marketing.

• Information Systems Review
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• v.18 no.2
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• pp.59-77
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• 2016

Although various recommendation techniques have been applied to the e-commerce market, few studies compare the intent to use these techniques from the customer's perspective. In this paper, we conduct a comparative analysis of customers' intention to use five recommendation techniques widely adapted by online shopping malls and focus on the differences in purchasing electronic goods and apparel products. The recommendation techniques are as follows: best-seller recommendation, merchandiser recommendation, content-based recommendation, collaborative filtering recommendation, and social recommendation. Additionally, we examine which factors influence customer intent to use the recommendation services. Data were collected through a survey administered to 220 e-commerce users with prior experience with recommendation services. Collected data were examined using analysis of variance and regression analysis. Results indicate statistically significant differences in customers' intention to use recommendation services according to the recommendation technique. In particular, the best-seller recommendation technique is preferred when purchasing electronic goods, whereas the content-based recommendation technique is preferred for apparel purchases. Factors such as personal characteristics and personality, purchasing tendency, as well as perception of the product or recommendation service affect a customer's intention to use a recommendation service. However, the influence of these factors varies depending on the recommendation technique. This study provides guidelines for companies to adopt appropriate recommendation techniques according to product categories and personal characteristics of customers.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.367-382
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• 2009

The aim of the current study was to investigate the impact of store attribute satisfaction on intentions of revisit and recommendation among clothing consumers. The data were collected from 319 consumers through survey and frequency analysis, reliability analysis, factor analysis, and multiple regression analysis were used to obtain results. The findings were as follows: 1. From factor analysis, seven factors were distracted: Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 4(transportation convenience and access), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service). 2. Four factors had statistically significant influence on overall satisfaction of clothing consumers. The most influential factor was Fact 2(store's facility and environment) and Fact 5(selling and advertisement), Fact 1(brand and price), and Fact 4(transportation convenience and access) showed their effects on overall satisfaction in an hierarchical rank-order following Fact 2. 3. Four factors such as Fact 2(store's facility and environment), Fact 1(brand and price), Fact 4(transportation convenience and access) and Fact 5(selling and advertisement) in an hierarchical rank-order from Fact 1 had statistically significant impact on intentions of revisit. 4. Six factors such as Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service) in an hierarchical rank-order from Fact 1 had statistically significant influence on the intention of recommendation. 5. The results further showed that among seven factors, Fact 1(brand and price), 'Fact 2(store's facility and environment), and Fact 5(selling and advertisement) had impact on both the intention of revisit and the intention of recommendation.