• Culinary science and hospitality research
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• v.16 no.1
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• pp.254-268
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• 2010

The purpose of this study is to determine the relative importance of restaurant attributes, preference in choosing a restaurant and to find out differences between segments. The web survey was conducted among 400 customers(aged from 20~39 years old) who lived in Seoul and Kyunggi, Incheon Province, from the period of August 23 to September 4, 2009. The statistical data analyses were performed using SPSS/WIN 12.0 for the conjoint analysis. The main results of this study were as follows : according to the analysis on the attributes and the levels of restaurants, the relative importance of restaurant attributes was assessed in taste (43.46%), price(27.62%), restaurant type(18.49%) and atmosphere(10.44%). Differences were found among three segments by the cluster analysis. Relative importance of restaurant attributes was assessed in price (45.96%), restaurant type(40.00%), taste(11.93%) and atmosphere(2.11%) in segment 1, taste(50.93%), price (33.37%), restaurant type(10.75%) and atmosphere(4.95%) in segment 2 and taste(56.24%), restaurant type (22.60%), price(14.06%) and atmosphere(7.10%) in segment 3. The results of the conjoint analysis indicated that customers preferred a restaurant with 'tasty food & various menu items', 'food priced 10,000~20,000 won', 'calm atmosphere' and 'the type of family restaurant'. The customers in segment 1 preferred a restaurant with 'not tasty food & simple menu', 'food priced more than 20,000 won', 'calm atmosphere' and 'the type of fine-dining restaurant'. The customers in segments 2 preferred a restaurant with 'tasty food & various menu items', 'food priced less than 10,000 won', 'exciting atmosphere' and 'the type of fine-dining restaurant' and the customers in segments 3 preferred a restaurant with 'tasty food & various menu items', 'food priced 10,000~20,000 won', 'calm atmosphere' and 'the type of family restaurant'.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.348-362
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• 2021

Real estate investment behavior factors are divided into profitability, risks (stability), liquidity, and regulation (deregulation) factors. The sub-attributes of the investment behavior factors are generally formative indicators. Unlike reflection indicators, formative indicators can identify not only the influence of investment behavior factors on dependent variables, but also the influence of sub-attributes on dependent variables. Therefore, theoretical and practical needs of comparing the influences of factors and sub-attributes on dependent variables has been suggested. In this study, in order to provide information that help marketing for lots shopping building, both the causality between investment behavior factors and investment intention and the causality between sub-attributes and investment intention were comparatively studied for each of the three investor groups: the whole group, the group with high investment intention and the group with low investment intention. For this purpose, a survey and multiple regression analyses were conducted on 237 existing investors in the customer DB of a company that have been developing and selling lots shopping building in the metropolitan area and Sejong City. At the factor level, the effects of profitability and regulation were significant in the whole group and the group with low investment intention, but the effects of risk and liquidity were significant in the group with high investment intention. At the sub-attribute level, all three groups showed different results.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.155-168
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• 2018

This study singled out 30 smart car features and surveyed 250 respondents. Assuming that the relationship between fulfillment of a feature or a customer need and the satisfaction with that feature is not necessarily linear, this study was conducted using Kano's method. Two devices, Timko Deviation(TD) and Kano Distribution Index(KDI), were devised to help evaluate resulting Kano table quantitatively. Previous research based on Kano's original framework showed the limit to the analysis of new or unfamiliar features: more than 85% of the features surveyed turned out to be either Attractive or Indifferent attributes. This study attempted a new empirical approach by applying customer experiences, price conditions, and customer self-stated importance. The results showed that customer experience of the surveyed features affected the overall satisfaction level, signifying that Kano's method should be conducted with care when analyzing emerging technologies such as smart cars. It is expected that this study would be utilized for better understanding of the perception and trends of customers regarding new technologies. This study also suggests a new approach to the analysis of customer requirements by providing price conditions.

• Asia Marketing Journal
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• v.10 no.2
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• pp.125-151
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• 2008

Both companies and consumers are highly interested in on-line customer reviews which enable consumers to share their experience and knowledge about products. In this study, after classifying real reviews into context units and deriving categories, we analyzed differences between categories based on channel(manufacturers' homepage/ shopping mall), product attribute(search/experience) and price(high/low). The method to derive categories is based on roughly adopting constructs of ACSI model and elaborate and repetitive classification of real reviews. We set up the classification category with 3 levels. Level 1 consists of product and service, level 2 consists of function, design, price, purchase motive, suggestion/user-tip and recommendation/repurchase in product and AS/up-grade and delivery/others in service and level 3 is composed of details of level 2 of category. We could find remarkable differences between channels in all 8 items of level 2 of category. As the number of context units in homepage is more than in shopping mall, we found reviews in homepage is more concrete. Moreover, overall satisfaction in review was higher at homepage's. Also, in product attribute dimension, we found different patterns of reviews in design, purchase motive, suggestion/user-tip, recommendation/repurchase, AS/up-grade and delivery/others and no difference in overall customer's satisfaction. In price dimension, we found differences between high and low price in design, price and AS/up-grade and no difference in overall customer's satisfaction.

• Culinary science and hospitality research
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• v.21 no.3
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• pp.116-129
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• 2015

In order to maximize customer satisfaction and provide differentiated customer-oriented marketing strategies, it is important to understand the essence of consumer behavior and characteristics of their market segmentation. Therefore, this study explored the relationships among five different food-related lifestyle (i.e., health, fashion, taste, economy and safety oriented), positive emotion, and satisfaction. An analysis of 338 samples drawn from college students who visited coffeehouse at least once in the previous months was performed. The results revealed that, taste, economy, and safety oriented lifestyle significantly affected positive emotion, and positive emotion significantly affected satisfaction. The findings highlight the significant role of coffeehouse customer food-related lifestyle toward positive emotion in the formation of satisfaction, and therefore generate theoretical and practical implications for the coffeehouse industry.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.353-364
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• 2016

This study was conducted to find the influence of menu select attribute on consumer preferences and satisfaction as perceived by Japanese restaurant consumers. Survey method was employed and distributed during January 1 to January 31, 2016 from who have an experience in Japanese restaurants located in Busan and Gyeongnam. First, the quality of the menu (${\beta}=.444$, p<.001), menu design(${\beta}=.425$, p<.001), select menu motivation (${\beta}=.147$, p<.001) positively impact on consumer preferences. Second, consumer preference significantly and positively influence on customer satisfaction. Third, the quality of the menu (${\beta}=.650$, p<.001), menu design(${\beta}=.120$, p<.001), select menu motivation (${\beta}=.263$, p<.001) positively impact on consumer satisfaction. Finally, partial mediating effect of consumer preference was identified between select attributes and consumer satisfaction.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.79-98
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• 2011

This paper proposes a semantic recommendation technique for a personalized e-commerce portal. Semantic recommendation is achieved by utilizing the attributes of products. The semantic similarity of the products is merged with the rating information of the products to provide an accurate recommendation. The recommendation technique also analyzes various attitudes of the customer to evaluate the implicit rating of products. Attitudes are classifies into three types such as "purchasing product", "adding product to shopping cart", and "viewing the product information." We implicitly track customer attitude to estimate the rating of products for recommending products. Also we implement a session validation process to identify the valid sessions that are highly important for giving an accurate recommendation. Our recommendation technique shows a high degree of accuracy as we use age groupings of customers with similar preferences. The experimental section shows that our proposed recommendation method outperforms well known collaborative filtering methods not only for the existing customer, but also for the new user with no previous purchase record.

• Fashion & Textile Research Journal
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• v.12 no.5
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• pp.657-666
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• 2010

As the beauty industry has strong intangible attributes unlike the other service industry, the provision of service quality capable of fulfilling customer's desire and customer's satisfaction activity due to this are important. The purpose of this research is to provide marketing materials capable of maximizing consumer's satisfaction as a study on assessment of service quality according to a character type of customers by beauty shop type with the target of customers using a beauty shop. The sub-dimension of a personality type of beauty shop's customers is five factors, which were named neurose, sincerity, extroversion, openness and affinity, and the sub-dimension of service quality is five factors, which were named specialty, responsiveness, empathy, tangibility and reliability. It could be known that the service quality according to the character type of customers by beauty shop has influence on all of tangibility, reliability, expertise, responsiveness and empathy factors. Accordingly, this research would be utilized as good material for service improvement that can divide service quality by beauty shop and maximize satisfaction of consumers. Based on the above research results, marketing implications are that the customized promotional management according to the character type of customers by beauty shop is necessary and the granular management manual according to customer's differentiation by beauty shop is necessary. The effect that a personality type of customers by beauty shop has on the empathy factor among service quality factors shows a significant difference in neurose and openness factors in case of beauty salons, and shows a significant difference in sincerity and openness factors in case of skin care salons.

• The Journal of Industrial Distribution & Business
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• v.10 no.7
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• pp.83-89
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• 2019

Purpose - It is a very important issue for the Korean tourism industry to increase tourism revenue by attracting foreign tourists. Although Japanese tourists have been an important part of the Korean tourism industry for a long time, the level of tourist satisfaction including accommodation has been at the worst compared to other foreign visitors, which strongly requires concrete solutions. Therefore, this study focuses on improving the satisfaction level of Japanese visitors in the use of accommodation, and find out the influence of the managerial response. Research design, data, and methodology - In this study, customer review and managerial response of hotels in Seoul were collected from "Rakuten Travel" which is the most representative online travel agency in Japan. As a result of collecting data from 2016 to 2018, 6,190 customer reviews and 1,241 managerial responses from 120 hotels were used for analysis. In addition, information on the properties of 120 hotels, such as the number of rooms, classification, types of hotel facilities, types of room facilities, accessibility and prices, were collected. To test the hypotheses, moderated multiple regression analysis was conducted with SPSS 22.0. Results - It was found that only 25 sites, 20.8% of the total 120 sites, were implementing managerial response and average response rate was 66.42% among them. As a result of examining the main effects of the hotel attributes on the ratings, accessibility and price are confirmed as effective variables. We also found that the response rate has a significant moderate effect in both the accessibility and price. In other words, there was a significant difference in the influence of accessibility and price on the ratings depending on the response rate. Also, it was confirmed that the response rate is not a pure moderator variable but a quasi moderator variable. Overall, the evidences partially supported the hypothesis. Conclusion - It was possible to provide important suggestions to the hotel managers who were concerned about managing tourist satisfaction with accessibility problems. It was found that the accessibility problem could be overcome by increasing the response rate. It was also confirmed that high ratings can be more effectively achieved for high priced hotels by increasing the response rate.

• Journal of the Korea Society of Computer and Information
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• v.15 no.6
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• pp.121-128
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• 2010

Spatial data mining has been developed to support spatial association knowledge between spatial features or its non-spatial attributes for an application areas. At the present time, a number of researchers attempt to the data mining techniques apply to the several analysis areas, for examples, civil engineering, environmental, agricultural areas. Despite the efforts that, until such time as not existed practical systems for the gCRMDMs. gCRMDMs is merged with very large spatial database and CRM information system. Also, it is discovery the association rule for the predictions of customer's shopping pattern informations in a huge database consisted with spatial and non-spatial dataset. For this goal, gCRMDMs need spatial data mining techniques. But, nowadays, in a most case not exist utilizable model for the gCRMDMs. Therefore, in this paper, we proposed a practical gCRMDMs model to support a customer, store, street, building and geographical suited to the trade area.