7 research outputs found

    The Effect of Food Tourism Behavior on Food Festival Visitor’s Revisit Intention

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    In this paper, the effects of novelty-seeking and food involvement on food tourism behavior and the effect of food tourism behavior on intention to revisit the Jeonju Bibimbab Food Festival are studied. Additionally, the effects of attitude, anticipated emotions, perceived behavioral control, and subjective norms on intention to revisit through desire are identified. Three hundred and forty questionnaires are used for the study. These are analyzed with partial least squares structural equation model (PLS-SEM) using SmartPLS 2.0. The results show that two variables of novelty-seeking and food involvement have positive effects on food tourism behavior. It is also found that the effect of food involvement is higher on the food tourism behavior than that of novelty-seeking. This is because survey respondents are mostly domestic visitors, and for them, Bibimbab itself is familiar. In addition, the food tourism behavior has a significant effect on the intention to revisit the Jeonju Bibimbab festival. It implies that people who like to travel to enjoy food are also interested in the food festival

    Efficiency Analysis of Retail Chain Stores in Korea

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    In today’s low-growth business environment, efficiency management is becoming more important to improve corporate sustainability. In a chain store, the efficiency of individual stores must be well managed to improve the efficiency of the entire enterprise. To do this, it is important to measure the efficiency of individual stores and to find factors that affect efficiency. The main purpose of this study is to find out the factors affecting the efficiency of chain stores and to analyze the results to find out the implications that contribute to an improvement in efficiency. We measured the relative efficiency of individual stores using data envelopment analysis (DEA) and analyzed the factors that affect efficiency with the Tobit regression model. As a result, we found that the number of items per employee and a competitive environment influence the efficiency of stores. An excessive number of items may cause efficiency to be lowered. Therefore, it is necessary to manage the life cycle of the product, considering the trade-off between assortment and efficiency. Competition helps to improve efficiency to some extent, but too much competition can reduce efficiency

    The Relationship between the Efficiency, Service Quality and Customer Satisfaction for State-Owned Commercial Banks in China

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    In 2006, China fully opened up its financial markets. This means that the banking industry is facing a more severe competitive environment, which requires not only the operational efficiency of the bank but also customer satisfaction for the quality of service. As the reform and opening up policy started from the eastern costal areas in China, there are differences in economic development levels by the region, and so are the levels of financial development. Therefore, it is necessary to study the effect of regional differences on bank efficiency. Prior studies also showed a lot of limitations about using data envelopment analysis, in that the efficiencies of the bank are only measured without consideration of other managerial aspects of the service and customer satisfaction. Thus, this study aims to analyze the efficiencies of twenty state-owned commercial banks in five provinces of China. The relationships between bank efficiency, service quality, and customer satisfaction are analyzed. The data used for the analysis was obtained from the 2015 Chinese Banking Statistics. As a result, the average technical efficiency of twenty state-owned banks is as high as 81.9%. It is also found that the bank’s service quality has a positive impact on efficiency and customer satisfaction. In the case of banks that are located in areas with high economic levels, customer satisfaction is lower than that of banks in lower regions. This is because customers in high economic level regions have higher expectations for service quality and it leads to lower customer satisfaction

    The effect of Hallyu on tourism in Korea

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    The purposes of the study are to estimate inbound tourism demand and to analyze the effect of the Korean Wave and Economic indicators on it. For these purposes, we examined the influence of Korean Wave, GDP, CPI and exchange rate on inbound tourism demand for foreign tourists from the USA, China, Japan and Hong Kong to Korea. In order to measure the Korean wave, the export amount of Hallyu related contents exported to each of the four countries is used. GDP means the GDP of each of the four countries. However, the CPI and the exchange rate are relative to Korea. Penal data on tourism demand, Korean Wave, and Economic indicators from 1997 to 2014 are collected for analysis. Through the various tests for panel analysis model selection, the best fit model proved to be a random effect model. As a result, Korean Wave, GDP, and exchange rate have a statistically significant impact on tourism demand. Therefore, it can be seen that the Korean Wave is one of the important factors for attracting foreign tourists to Korea in four countries. Also, the results show that overseas tourism increases when the economic income of the country is high and the exchange rate is favorable. However, CPI does not appear to have a statistically significant impact on tourism demand. This indicates that tourists are not overly concerned about the cost of the travel country when planning a trip

    The Impact of Hospital Specialization on Congestion and Efficiency

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    The purpose of this study is to verify the existence of congestion in Korean hospitals, to identify the causes of congestion, and to suggest directions for efficiency improvement of hospitals. The result showed that congestion occurred in 71.90% of 1185 hospitals. In addition, it was found that hospital specialization has a negative effect on congestion. In other words, the higher the hospital specialization, the lower the overall congestion rate of the hospital. More specifically, the specialization of hospitals also showed a negative effect on congestion of nurses. On the other hand, hospital specialization was found to have a positive effect on the congestion of the number of doctors, but it does not have a significant effect on the congestion of hospital beds. It was also found that hospital size has an effect on the relationship between hospital specialization and congestion, but the location of the hospital and the type of ownership did not act as a moderator
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