• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.292-304
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• 2009

This paper is to identify how merchandise quality, store environment, personnel service, sales promotion, store amenities and supporting service which is considered to store image components influence on satisfaction and loyalty and examine the role of satisfaction in explaining relationships between store image and loyalty. The results of the study are as follows: (1) each components of store image influence on cognitive satisfaction or emotionally based satisfaction or loyalty. (2) merchandise quality and store amenities have influence on cognitive satisfaction and emotionally based satisfaction is affected by personnel service and supporting service, but store environment has directly influence on loyalty. (3) store image components that is concerned with service in the store e.g. personnel service, supporting service build customer loyalty by mediating emotionally based satisfaction. In order to build strong customer loyalty, marketer have to formed through store image components that is much stronger on loyalty.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.418-426
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• 2015

Smartphone users select restaurants using restaurant recommendation apps and use previous visitors' reviews as key decision-making information. It has not been studied yet how users react to negative reviews and how their reactions lead into the dining decision. In this study, we examined whether there are differences in the influence of negative reviews on intention to visit the restaurant according to users' decision making styles. This study confirmed negative reviews affect user decision differently according to three attributes (food, service, and atmosphere), and also partially verified that the effects of negative reviews are different according to decision-making style.

• Journal of the Korean Association of Geographic Information Studies
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• v.1 no.1
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• pp.52-69
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• 1998

Using GIS, this study constructs and evaluates a bank marketing system. The study collects a marketing GIS database case from the Daegu Bank, which is one of the leading local banks in Korea. The database includes spatial data such as digital road map, internal and external attribute data which are combined for the construction of bank marketing database. Based on these data, the study developed an interface which enables searching and analysing functions of bank GIS marketing system. For the development of the interface, this study examined the basic concepts of area marketing and its development and utilized Map/Info as a basic GIS software package and Delphi as computer language. Finally, the study makes a comprehensive evaluation of various problems of spatial and attribute data which occurred in the process of constructing the bank marketing database.

• Culinary science and hospitality research
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• v.19 no.5
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• pp.170-183
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• 2013

The purpose of this study is to classify the attributes of culinary educational quality by using the Kano model. This study carried out literary research and empirical analysis. Data were collected among 486 students whose major is culinary arts and analyzed with SPSS 19.0 and EXCEL 2007. It classified culinary educational quality by employing the Kano model and modified the Better and Worse quotients suggested by Timko. The results of the study are as follows. First, it was found that total 25 attributes could be classified into 17 Attractive quality attributes, 2 Must-be quality attributes and 6 Indifferent quality attributes, while One-dimensional quality, Reverse quality and Questionable quality attributes were not found. Second, according to the Better and Worse quotient by Timko, "Objective instructor's evaluation" item was the highest score in the Better quotient. On the other hand, the "Having foreign professors" item is the lowest in the Worse quotient. Third, marketing implications and limitations were discussed.

• Journal of the Korean Society of Food Culture
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• v.23 no.2
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• pp.152-162
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• 2008

The objectives of this study were to: a) examine foreign customers’ satisfaction and expectations for the food and service attributes of Korean restaurants located in the U.S., b) measure the gap between the satisfaction and expectations for food and service attributes, c) analyze through IPA analysis the crucial attributes needing improvement in order to minimize the discrepancy between customers’ expectations and performance, and d) analyze the effects of factors related to the food and service attributes on overall customer satisfaction in regard to Korean restaurant selection. A total of 255 American customers who had visited four Korean restaurants located within metropolitan and rural areas of the U.S. were surveyed for this study. Statistical analyses, including t-tests, factor analysis, and multiple regression, were performed using the SPSS statistical package (12.0). The American customers’ overall satisfaction of the food and services offered by the Korean restaurants was relatively high, with the exception of tangible service attributes such as comfortable chairs, restroom cleanliness, and restaurant interior. The urban foreign customers, however, were dissatisfied with the use of healthful ingredients in Korean food, because their expectation level toward this aspect exceeded their satisfaction level. In terms of Korean restaurant selection, tangible services related to the restaurant facilities were identified as the critical factor having an effect on American customer satisfaction.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.129-142
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• 2016

Customer product reviews have become one of the important factors for purchase decision makings. Customers believe that reviews written by others who have already had an experience with the product offer more reliable information than that provided by sellers. However, there are too many products and reviews, the advantage of e-commerce can be overwhelmed by increasing search costs. Reading all of the reviews to find out the pros and cons of a certain product can be exhausting. To help users find the most useful information about products without much difficulty, e-commerce companies try to provide various ways for customers to write and rate product reviews. To assist potential customers, online stores have devised various ways to provide useful customer reviews. Different methods have been developed to classify and recommend useful reviews to customers, primarily using feedback provided by customers about the helpfulness of reviews. Most shopping websites provide customer reviews and offer the following information: the average preference of a product, the number of customers who have participated in preference voting, and preference distribution. Most information on the helpfulness of product reviews is collected through a voting system. Amazon.com asks customers whether a review on a certain product is helpful, and it places the most helpful favorable and the most helpful critical review at the top of the list of product reviews. Some companies also predict the usefulness of a review based on certain attributes including length, author(s), and the words used, publishing only reviews that are likely to be useful. Text mining approaches have been used for classifying useful reviews in advance. To apply a text mining approach based on all reviews for a product, we need to build a term-document matrix. We have to extract all words from reviews and build a matrix with the number of occurrences of a term in a review. Since there are many reviews, the size of term-document matrix is so large. It caused difficulties to apply text mining algorithms with the large term-document matrix. Thus, researchers need to delete some terms in terms of sparsity since sparse words have little effects on classifications or predictions. The purpose of this study is to suggest a better way of building term-document matrix by deleting useless terms for review classification. In this study, we propose neutrality index to select words to be deleted. Many words still appear in both classifications - useful and not useful - and these words have little or negative effects on classification performances. Thus, we defined these words as neutral terms and deleted neutral terms which are appeared in both classifications similarly. After deleting sparse words, we selected words to be deleted in terms of neutrality. We tested our approach with Amazon.com's review data from five different product categories: Cellphones & Accessories, Movies & TV program, Automotive, CDs & Vinyl, Clothing, Shoes & Jewelry. We used reviews which got greater than four votes by users and 60% of the ratio of useful votes among total votes is the threshold to classify useful and not-useful reviews. We randomly selected 1,500 useful reviews and 1,500 not-useful reviews for each product category. And then we applied Information Gain and Support Vector Machine algorithms to classify the reviews and compared the classification performances in terms of precision, recall, and F-measure. Though the performances vary according to product categories and data sets, deleting terms with sparsity and neutrality showed the best performances in terms of F-measure for the two classification algorithms. However, deleting terms with sparsity only showed the best performances in terms of Recall for Information Gain and using all terms showed the best performances in terms of precision for SVM. Thus, it needs to be careful for selecting term deleting methods and classification algorithms based on data sets.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.178-189
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• 2009

This paper investigates the influence of social networks on the satisfaction and loyalty of online game users. We gather the resulting questionnaires written by all respondents and compare social networks of users in the online game world. Social networks of online game users influence a sense of community. In consequence, the community sense influences the satisfaction and loyalty of online game users, respectively. Therefore, the companies which produce an online game and provide various services to users should consider the social networks and communities of their game users. Especially they have to try to manage the users who are the opinion leaders of the online game. If the companies make good relationships with users who are the opinion leaders of the online game, they would easily improve the loyalty of ordinary users by performing word-of-moth marketing of the users' opinions concerning about the online game.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.786-789
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• 2015

Recent concept of smart wort which is advanced from that of existing smart work means the task performance method in which we can provide the highest value to our customers by accomplishing the customer-oriented business creatively, innovatively and quickly. New concept of smart work can come through adding multiple intelligence theory and open innovation to social media technologies which have the characteristics of high connectivity, collective intelligence, rapid feedback. In accordance with the evolution of smart work concept, it is necessary to make the plan and strategy on R&D and standardization through the analysis of key technologies in order to realize the advanced smart work and secure a leading position in smart work market. Accordingly, In this paper, we propose standardization tasks and technologies which our country can lead and present a long-term driving directions by analyzing the conceptual change of smart work, technology trends and standardization trends.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.204-218
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• 2011

This research suggests development of medicinal food in the future, establishes a marketing strategy for securing and maintaining customers of medicinal food restaurants and proposes efficient management directions for medicinal food in the food service industry. The higher the level of medicinal food that can satisfy consumer demand for health such as prevention of adult diseases, fat content, Organic food, etc, the more the purchasing motives of medicinal food including repurchase intention and recommendation are shown. The result of the hypothesis testing shows that the purchasing motives in the influencing factors such as prevention of adult diseases, fat content, organic food, food balance have significant influence on satisfaction in the mediating factors. Based on these analysis results, this study offers useful information about medicinal food and management of a restaurant specializing in medicinal food.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.4
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• pp.431-449
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• 2015

Motivated by the finding that place names are highly capable of acting as one of the most conspicuous brands in the economy, this study has explored the essential nature of the brand value of place names and has suggested possible methodology to evaluate this value. As the place name brand has multidimensional elements mirroring the attributes of place, its understanding should be framed in terms both of users of place names as a subject and of place as an object. In order to evaluate the brand value of place names, the possibility of adopting the concept of customer-based brand equity, which is centered on the perception and assessment of customers, has been reviewed and more detailed items of evaluation have been addressed. A few future research topics are suggested: the nature of brand value; its relevance to place identity; the influence of place marketing; the significance of exposing place names to the public; the effect of geographic indication on brand value; delineating the spatial boundary of geographic indication items.