• Culinary science and hospitality research
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• v.15 no.4
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• pp.273-285
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• 2009

In order to find how the recovery justice from the service procedure and result failure affects the quality of customer-brand relationship, we conducted this study following pre research, its correction and supplement of the customers who experienced some service failures in food restaurant. We selected the best five brands in Korean food franchise in the rank of the sales on basis of data of Korean Food Restaurant Information in year 2009. The participants of this research were the people who live in Seoul metropolitan area and ever experienced any service failure within recent 6 months. Of the 500 copies of survey questionnaires distributed, 391 were used for the analysis. The method used for this analysis was the SPSS for WIN 12.0 program and the analysis such as technical statistics analysis, reliability analysis, research element analysis and regression analysis were applied. As a result, the service shortage factor which is one of the service process failures was confirmed to affect procedural justice and distributive justice. It has been confirmed that procedural justice and distributive justice are influenced by the hygiene deficiency which is one of the result failures. It was also found that the product factor affects distribution justice. As for the effect of the quality of recovery justice and a customer-brand relationship, procedural justice and distributive justice were found to affect the mutual dependency while procedural justice affects a familiarity.

• Culinary science and hospitality research
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• v.17 no.5
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• pp.92-107
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• 2011

The purpose of this study was to understand the effect of the characteristics of coupons purchased through a social shopping site upon customer satisfaction and future behavior intention. Based on total 332 samples who had bought franchise restaurant coupons and used them before, this study reviewed reliability and fitness of the research model and verified total 4 hypotheses with AMOS and SPSS program. The hypothesized relationships among the models were tested simultaneously by using a structure equation model(SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=309.795(df=103, p<.001), CMIN/DF=3.008, RMR=.103, GFI=.912, NFI=.927, CFI=.950, RMSEA=.074. The result showed that the coupon proneness(${\beta}$=.645) and price sensitivity(${\beta}$=-.315) had a significant influence on restaurant satisfaction(p<.001) and only coupon proneness(${\beta}$=1.040) had a significant influence on coupon satisfaction(p<.001). Also, restaurant satisfaction had a positive significant influence on restaurant customers' revisit intention(${\beta}$=.603, p<.001) and coupon users' repurchase intention(${\beta}$=.335, p<.001). Furthermore, coupon satisfaction had a positive significant influence on coupon repurchase intention(${\beta}$=.353, p<.001) but had a negative significant influence on restaurant revisit intention(${\beta}$=-.263, p<.001). Limitations and future research directions were also discussed.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.339-347
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• 2021

In this study, the study model and hypotheses were established by theoretical review to understand the impacts of servicescapes on relational benefits and revisit intention in the subjects of users in the franchise coffee shops. Based on the previous studies, the servicescape was classified with three elements including facility attractiveness, service attractiveness, and cleanness, and the analysis results are as follows. First, facility attractiveness(H1-1) and service attractiveness(H1-2) among servicescapes of coffee shops showed the significant impact on relational benefits, adopting Hypothesis 1-1 and H 1-2. On the other hand, cleanness among the servicescapes did not show any impact on relational benefits. Second, hypothesis 2 that relational benefits will significantly affect the revisit intention, positively was adopted. This means revisit potential will be enhanced more as the workers generate the comfort with special services and informal conversation more. It implicates that trust on the shops, psychological comfort, and consideration to the customers are important factors to induce their revisit. Finally, facility attractiveness and service attractiveness among servicescapes showed to affect he revisit intention significantly, while cleanness did not show that, partially adopting hypothesis 3.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.340-348
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• 2019

This study analyzes the factors that influence commercial gentrification in Seoul by using both logit model analysis and machine learning with data cumulated from 2015 to 2018 regarding 158 market areas. Logit analysis indicates that log(market area average monthly rent) and the ratio of the purchasing amount by customers aged 40 and younger to total sales in the restaurant and retail business category are statistically significant at 1%; the increase in sales per female customer aged between 30 and 39 in the restaurant and retail business category is statistically significant at 5%; and the increase in number of retailers with a business history of less than two years in the franchise business category is significant at 10%. Machine learning indicates that significant factors ordered by importance are the total retail area, the existence of an industrial complex within the market area, the existence of a traditional market within the market area, the location of subway stations within the market area, the increase of entertainment facilities such as movie theaters within the market area, average monthly rent, and the growth rate of average monthly rent. The contribution of this research is threefold. First, this study analyzes the entire commercial area of Seoul, Korea. Second, this study provides a foundation for future research on predictive indicators by empirically investigating the factors that influence commercial gentrification in Seoul. Lastly, this study introduces various methods of research by utilizing a machine learning approach.