• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.163-175
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• 2017

The purpose of this study is to find out how to improve the brand image and loyalty of cafe by recognizing that social culture of middle school cafe, which is an important service quality in cafe establishment, emerges as a main characteristic of new coffee business. First, reliability, confidentness, professionalism, accessibility, and socio - culturality of the service quality of coffee specialty shops improve brand image. Confidence and professionalism play an important role in enhancing brand loyalty, and brand image has a significant effect on brand loyalty. Respectively, Among the service quality, social culture has a strong influence on brand image but it is not a direct influence on brand loyalty. Second, in the relationship between brand loyalty of coffee service quality, brand image shows full mediation effect on reliability, partial mediation effect on confidence, professionalism, accessibility, socialcultural property, and mediation effect on response and empathy. Third, as a result of analyzing the moderating effects of coffee shop types on the relationship between service quality and brand image of coffee specialty shops, reliability, confidentiality, and accessibility are positive factors in the nationwide franchise. On the other hand, in the private $caf{\acute{e}}$, professionalism and socio-culturality are the main factors for improving the brand image. In the case of the local franchise, similar to the franchise in the country, the improvement of service quality for responsiveness and professionalism is a positive factor Respectively. As a result, nationwide franchise $caf{\acute{e}}s$ have priority in enhancing brand image and brand loyalty through accessibility and assurance of service quality. On the other hand, in case of local franchise $caf{\acute{e}}$, it can be seen that the service quality is enhanced and the brand image and brand loyalty can be further improved through service professionalism and accessibility. On the other hand, regional cafes are more important than national franchises or local franchise cafes, and a strategy to enhance customer loyalty is needed through service strategies emphasizing socio - cultural aspects.

• Journal of Arbitration Studies
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• v.26 no.4
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• pp.3-41
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• 2016

This paper reviews the problems on the arbitral awards enforcement in the 2016 Korean Arbitration Act. In order to get easy and rapid enforcement of the arbitral awards, the new arbitration act changed the enforcement procedure from an enforcement judgement procedure to an enforcement decision procedure. However, like the old arbitration act, the new act is still not arbitration friendly. First of all, there are various problems in the new act because it does not approve that an arbitral award can be a schuldtitel (title of enforcement) of which the arbitral award can be enforced. In this paper, several problems of the new act are discussed: effect of arbitral award, approval to res judicata of enforcement decision, different trial process and result for same ground, possibility of abuse of litigation for setting aside arbitral awards and delay of enforcement caused by setting aside, infringement of arbitration customer's right to be informed, and non-internationality of enforcement of interim measures of protection, inter alia. The new arbitration act added a proviso on article 35 (Effect of Arbitral Awards). According to article 35 of the old arbitration act, arbitral awards shall have the same effect on the parties as the final and conclusive judgement of the court. The proviso of article 35 in the new act can be interpret two ways: if arbitral awards have any ground of refusal of recognition or enforcement according to article 38, the arbitral awards do not have the same effect on the parties as the final and conclusive judgement of the court; if arbitral awards have not recognised or been enforced according to article 38, the arbitral awards do not have the same effect on the parties as the final and conclusive judgement of the court. In the case of the former, the parties cannot file action for setting aside arbitral awards in article 36 to the court, and this is one of the important problems of the new act. In the new act, same ground of setting aside arbitral awards can be tried in different trial process with or without plead according to article 35 and 37. Therefore, progress of enforcement decision of arbitral awards can be blocked by the action of setting aside arbitral awards. If so, parties have to spend their time and money to go on unexpected litigation. In order to simplify enforcement procedure of arbitral awards, the new act changed enforcement judgement procedure to enforcement decision procedure. However, there is still room for the court to hear a case in the same way of enforcement judgement procedure. Although the new act simplifies enforcement procedure by changing enforcement judgement procedure to enforcement decision procedure, there still remains action of setting aside arbitral awards, so that enforcement of arbitral awards still can be delayed by it. Moreover, another problem exists in that the parties could have to wait until a seventh trial (maximum) for a final decision. This result in not good for the arbitration system itself in the respect of confidence as well as cost. If the arbitration institution promotes to use arbitration by emphasizing single-trial system of arbitration without enough improvement of enforcement procedure in the arbitration system, it would infringe the arbitration customer's right to be informed, and further raise a problem of legal responsibility of arbitration institution. With reference to enforcement procedure of interim measures of protection, the new act did not provide preliminary orders, and moreover limit the court not to recognize interim measures of protection done in a foreign country. These have a bad effect on the internationalization of the Korean arbitration system.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.12
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• pp.1794-1800
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• 2009

This research was performed to acquire dietitians' attitudes toward events marketing at school foodservice operations in the Busan area. A total of 359 questionnaires were distributed to dietitians employed at school foodservice operations in Busan from July 1 to 31, 2006 (response rate: 93%). All dietitians assessed the importance and performance of event marketing at 3.39/5.00 and 2.78/5.00. The elementary and high school had significantly (p<0.01) higher average scores of performance of event marketing than those of the middle school. The contract managed foodservices had significantly (p<0.01) higher average scores of performance of event marketing than those of the independent managed foodservices. In the Importance-Performance Analysis (IPA), high importance and high performance (B area: doing great) were seasonal event, traditional festival day event, subdivisions of the seasonal event, environment event, school event, the day event and high importance whereas low performance (A area: focus here) was health event. Event marketing increased customer satisfaction and confidence. Therefore, these results suggest that there may be a need to implement special events at school foodservice in order to increase students' satisfaction.

• Journal of Distribution Science
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• v.9 no.3
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• pp.5-14
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• 2011

One of the new roles of modern retail stores is to supply consumers with a memorable experience. In Korea, enhancing a store's environment so that customers remember a unique shopping experience is recognized as a sound strategy for strengthening the store's competitiveness. Motivated by this incentive, awareness of the experience-store concept is starting to increase in various categories of the retail industry. However, many experience stores, except in a few cases, have yet to derive a significant profit, explaining why Korean consumers are somewhat unfamiliar with, yet fascinated by, the experience stores that now exist in the country. Consumer satisfaction directly, and indirectly, affects a company's future profit and potential financial gain; customer satisfaction also affects loyalty. Therefore, knowing the significant factors that increase satisfaction and loyalty is essential for any company, in any field, to be able to effectively differentiate itself from the competition. Intrigued by increased competition opportunities, most Korean companies have adopted experience-store marketing strategies. When establishing the most effective processes for increasing sales and achieving a sustainable competitive advantage of a new concept, companies should consider certain factors that influence consumers' ability to accept new concepts and ideas. The Technology Acceptance Model (TAM) is a theory that models how people accept new concepts. TAM proposes the following two factors that influence a person's decisions about how, and when, he or she will use a new product: "perceived usefulness" and "perceived ease of use." Much of the existing research has suggested that a person's character also affects the process for accepting new ideas. Such personal character attributes as individual preferences, self-confidence, and a person's values, traits, and/or skills affect the process for willingly consenting to try something new. It will be meaningful to establish how the TAM theory's components, as well as personal character, affect individuals accepting the experience-store concept. To that end, as it pertains to an experience store, the first goal of the study is to examine the influence of innovative factors (perceived usefulness and perceived ease of use) on satisfaction and loyalty. The second objective is to define the moderate effect of consumers' personal characteristics on the model. The proposed model was tested on 149 respondents who were engaged in leisure sports activities and bought sports outdoor garments and equipment. According to the study's findings, the satisfaction and loyalty of an experience store can be explained by perceived usefulness and perceived ease of use, with the study's results demonstrating the stronger of the two factors being "perceived ease of use." The study failed to explain the effects of a person's character on the model. In conclusion, when the companies that operate the experience stores execute their marketing and promotion strategies, they should stress the stores' "ease of use" product components. Additionally, it can be extrapolated from the study data that since the experience-store idea is still relatively unfamiliar to Korean consumers, most customers are not yet able to evaluate, nor take a position regarding, their respective attitudes toward experience stores.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.1-15
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• 2021

If it is difficult for us to make decisions, we ask for advice from friends or people around us. When we decide to buy products online, we read anonymous reviews and buy them. With the advent of the Data-driven era, IT technology's development is spilling out many data from individuals to objects. Companies or individuals have accumulated, processed, and analyzed such a large amount of data that they can now make decisions or execute directly using data that used to depend on experts. Nowadays, the recommender system plays a vital role in determining the user's preferences to purchase goods and uses a recommender system to induce clicks on web services (Facebook, Amazon, Netflix, Youtube). For example, Youtube's recommender system, which is used by 1 billion people worldwide every month, includes videos that users like, "like" and videos they watched. Recommended system research is deeply linked to practical business. Therefore, many researchers are interested in building better solutions. Recommender systems use the information obtained from their users to generate recommendations because the development of the provided recommender systems requires information on items that are likely to be preferred by the user. We began to trust patterns and rules derived from data rather than empirical intuition through the recommender systems. The capacity and development of data have led machine learning to develop deep learning. However, such recommender systems are not all solutions. Proceeding with the recommender systems, there should be no scarcity in all data and a sufficient amount. Also, it requires detailed information about the individual. The recommender systems work correctly when these conditions operate. The recommender systems become a complex problem for both consumers and sellers when the interaction log is insufficient. Because the seller's perspective needs to make recommendations at a personal level to the consumer and receive appropriate recommendations with reliable data from the consumer's perspective. In this paper, to improve the accuracy problem for "appropriate recommendation" to consumers, the recommender systems are proposed in combination with context-based deep learning. This research is to combine user-based data to create hybrid Recommender Systems. The hybrid approach developed is not a collaborative type of Recommender Systems, but a collaborative extension that integrates user data with deep learning. Customer review data were used for the data set. Consumers buy products in online shopping malls and then evaluate product reviews. Rating reviews are based on reviews from buyers who have already purchased, giving users confidence before purchasing the product. However, the recommendation system mainly uses scores or ratings rather than reviews to suggest items purchased by many users. In fact, consumer reviews include product opinions and user sentiment that will be spent on evaluation. By incorporating these parts into the study, this paper aims to improve the recommendation system. This study is an algorithm used when individuals have difficulty in selecting an item. Consumer reviews and record patterns made it possible to rely on recommendations appropriately. The algorithm implements a recommendation system through collaborative filtering. This study's predictive accuracy is measured by Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Netflix is strategically using the referral system in its programs through competitions that reduce RMSE every year, making fair use of predictive accuracy. Research on hybrid recommender systems combining the NLP approach for personalization recommender systems, deep learning base, etc. has been increasing. Among NLP studies, sentiment analysis began to take shape in the mid-2000s as user review data increased. Sentiment analysis is a text classification task based on machine learning. The machine learning-based sentiment analysis has a disadvantage in that it is difficult to identify the review's information expression because it is challenging to consider the text's characteristics. In this study, we propose a deep learning recommender system that utilizes BERT's sentiment analysis by minimizing the disadvantages of machine learning. This study offers a deep learning recommender system that uses BERT's sentiment analysis by reducing the disadvantages of machine learning. The comparison model was performed through a recommender system based on Naive-CF(collaborative filtering), SVD(singular value decomposition)-CF, MF(matrix factorization)-CF, BPR-MF(Bayesian personalized ranking matrix factorization)-CF, LSTM, CNN-LSTM, GRU(Gated Recurrent Units). As a result of the experiment, the recommender system based on BERT was the best.