• Asia pacific journal of information systems
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• v.27 no.2
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• pp.126-138
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• 2017

The proliferation of items increased the difficulty of customers in finding the specific items they want to purchase. To solve this problem, companies adopted recommender systems, such as collaborative filtering systems, to provide personalization services. However, companies use only meaningful and essential data given the explosive growth of data. Some customers are concerned that their private information may be exposed because CF systems necessarily deal with personal information. Based on these concerns, we analyze the effects of the amount of information on recommendation performance. We assume that a customer could choose to provide overall information or partial information. Experimental results indicate that customers who provided overall information generally demonstrated high performance, but differences exist according to the characteristics of products. Our study can provide companies with insights concerning the efficient utilization of data.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.342-350
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• 2008

The study begins with the proposition that customers' recognition of risk and their information level for a service firm and its product influence to the selection of information channel and loyalty of customers. Experimental study found that the likelihood of personal information channel selection would be increased as customers felt higher level of risk and as they had lower level of information when they purchased service products. The study also found that customer loyalty would be influenced by the risk recognition level, but the relationship between loyalty and information level was not significant.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.457-464
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• 2020

This study aims to recognize customers' real sentiment and then discover the data-driven insights for strategic decision-making in the financial sector of Saudi Arabia. The data was collected from the social media (Facebook and Twitter) from start till October 2018 in financial companies (NCB, Al Rajhi, and Bupa) selected in the Kingdom of Saudi Arabia according to criteria. Then, it was analyzed using a sentiment analysis, one of data mining techniques. All three companies have similar likes and followers as they serve customers as B2B and B2C companies. In addition, for Al Rajhi no negative sentiment was detected in English posts, while it can be seen that Internet penetration of both banks are higher than BUPA, rarely mentioned in few hours. This study helps to predict the overall popularity as well as the perception or real mood of people by identifying the positive and negative feelings or emotions behind customers' social media posts or messages. This research presents meaningful insights in data-driven approaches using a specific data mining technique as a tool for corporate decision-making and forecasting. Understanding what the key issues are from customers' perspective, it becomes possible to develop a better data-based global strategies to create a sustainable competitive advantage.

• Culinary science and hospitality research
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• v.13 no.1 s.32
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• pp.1-10
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• 2007

Co-branding of food courts is turning into a trend with the activation of recent entrance of famous restaurants into shopping departments and other large-size buildings. This research analyzes the effects of co-brand food courts on the choices of dining enterprises by dealing with the customers of these newly activated food courts in shopping malls and large-size buildings. By analyzing the effects of the present status of customers' using food courts according to the characteristics of their choices of dining enterprises, food and brand elements were found to have an effect on the restaurant brand recognition of food courts, and price factor was found to have an effect on an visitors' recommendation intension. Therefore, customers who set importance on food and brand elements tend to take the brand of food courts into consideration as well; therefore, the maintenance of food quality and strengthening of brand image are mandatory in case of food court operation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1422-1427
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• 2008

Hotel companies have to offer well furnished of a lodging and a meal and must keep the best customer supporting service. Because, customers have very strict standards and require fancy service to hotel that they pay. The Customers have different criteria to select hotel according to their purpose such as accommodation, banquet or convention. Hotel recognitions are also different along the purposes. I analyzed effects of hotel choice by intention to use hotel of customers in this research. To verify the effects, I used a structured model by AMOS 4.0 This study results show that the customers chose hotel in accordance with their intention of stay ; accommodation, banquet or convention etc. However, it is not significant hypothesis, that the guests select hotel along the brand recognition or the service perception.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.91-110
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• 2008

Trust is emphasized as one of the most important factors in various e-commerce related studies. It is no exaggeration to say that in the area of e-commerce, trust-building with customers determines a company's success or failure. That is why most e-commerce based companies spare no time and effort in building trust with customers. Without exception, trust is one of the most critical factors influencing a customer's decision making process of whether to purchase Internet automobile insurance. This study attempts to provide useful guidelines for the sales-enhancing strategies of Internet automobile insurers, by delving into research questions concerning 1) gender differences in Internet automobile insurance customers' recognition of trust, and 2) gender differences in the effective trust factors influencing one's intention to purchase of Internet automobile insurance. The study finds that while the shape of trust-recognition toward three types of trust factors is very similar for both gender groups, the intensity of trust for each gender group in overall is pretty different. The results indicate that there exist gender differences in the trust factors influencing one’s intent to purchase Internet automobile insurance. The results of this study will provide useful guidelines for Internet automobile insurers in establishing effective and differentiated marketing strategies.

• The Journal of Korean Medicine
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• v.31 no.1
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• pp.69-80
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• 2010

Objectives: This study aimed to find determinants of customers' use of and satisfaction with oriental medical services in Korea. Methods: A total of 33 articles which consist of 9 articles published in academic journals, 20 master's theses, and 4 doctoral dissertations were included in the systematic review. Among the articles used in the study, 29 used primary survey data, while 4 used secondary data produced by the Korean National Health and Nutrition Evaluation Survey. Results: First, it was found that people who prefer to use oriental medical services usually have one or more of the following diseases: musculoskeletal disorders, paralysis, or diseases or injuries without clear diagnosis. Other variables of gender, age, expectation of treatment outcome, and kindness of doctor and other staff were found to be significant determinants of using the oriental medical services. Second, the determinants of customers' satisfaction with oriental medical services were found to be age, gender, level of education, chronic disease with long length of stay, kindness of staff, medical cost, clinical environment, doctor's reputation, and public image of the institutions. Conclusion: The results of this study can be used to develop marketing strategies for oriental medical institutions in Korea.

• Culinary science and hospitality research
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• v.14 no.3
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• pp.178-195
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• 2008

This examination was conducted as follows; 189 copies were coated in total, and demonstratively analyzed by SPSS WIN 15.0 program. The methods used in data for this analysis are as follows; Sensitivity, Reliability, Frequency, Internal consistency, One way ANOVA(Scheffe's examination) Analysis, T-test, etc. The findings of this study are as follows; firstly, it was revealed that respondents who were regular customers of Italian restaurants regarded convenient transportation, property of space, property of pastoral, visibility, and accessibility as importance. This means that Italian restaurant marketers should consider some of factors of location for business with a good view, good parking lot, location at main street, smooth flow of traffic, luxury, atmosphere of freedom, clean area around restaurants, elegant interior of the building, comfortable, luxurious, and deluxe atmosphere, and so on. Secondly, it was revealed that respondents who were regular customers of buffet restaurant either considered the same factors as the Italian restaurants above or regarded those factors less important. This suggests that restaurants should be located on main streets, on trunk roads, and in large-scale residential districts of apartment complex. Thirdly, it was revealed that respondents who were regular customers of traditional restaurants did not consider the locational factors above. This shows that traditional restaurants should be located in nearby customers' houses or their working places, and that marketers should consider focusing on their restaurants' homelike atmosphere, cleanliness, food flavors, and so on.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.6
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• pp.919-925
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• 2007

The purpose of this study was to investigate the influence of customers' perceived risks on their perception of value at family restaurants in Seoul. Frequency analysis, reliability analysis, factor analysis, multiple-regression analysis were employed to analyze the data. The customers' perceived risk were divided into 6 factors. Three of the perceived risk factors(financial, time, performance risk) negatively(-) influenced the perception of value. In particular, 'financial risk' was the most negative. However, 3 factors(physical risk, psychological risk, social risk) didn't have significant influence on perceived risk. As a result, customers of family restaurants appear to perceive various risks, and these risks have significant impacts on their perception of value. Therefore, food-service corporations need to reduce customers' perceived risks, possibly by various and efficient pricing-policies, discount, price-bundling, using coupon, effective physical evidence and offering unique compensation.

• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.390-397
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• 2011

This study investigates the influences of shopping enjoyment and risk reduction on customers' attitude and the behavioral intention in the Internet shopping mall using a moving virtual model. For this study, we produced a moving virtual model to present a fashion product. The virtual model walks for about one minute on the stage. After respondents viewed it, they completed a questionnaire. The questionnaire consists of online shopping enjoyment, risk reduction, customers' attitude and behavioral intention. Respondents are limited to females aged in their 20s and 30s, who have experienced Internet shopping and are highly interested in fashion products. 411 samples were used for the final analysis. Cronbach's alpha, factor analysis, and multiple regression analysis were conducted. The results are as follows. Online shopping enjoyment and risk reduction influenced the behavioral intention directly as well as through the attitude. However, the size of the influence indicated that online shopping enjoyment is larger than risk reduction. Therefore, Internet malls should utilize the moving virtual model to provide customers with enjoyment and risk reduction, which will increase customers' favorable attitudes and the behavioral intention such as purchase intention and word of mouth.