The aim of this research is to ind out the inluence of service quality, ticket price, and customer satisfaction to the customer loyalty. It is a quantitative research using the data analysis method of Path Analysis. The results indicate that both variables of Service Quality (X1) and Ticket Price (X2) have a signiicant direct inluence to the variable of Customer Satisfaction (Y1), whereas the variable of customer satisfaction has a signiicant indirect inluence to the variable of Customer Loyalty (Y2) [through intervening the variable of customer satisfaction]. It is found in a sequence that the variables most inluential to the increase of Customer Loyalty are: Service Quality, Customer Satisfaction, and the Ticket Price in the last rank. The results of path analysis indicate that service quality can directly inluence the customer loyalty. It can be optimistically improved as maximal as possible through 5 factors having positive inluences in enhancing customer loyalty. Meanwhile, Ticket Price still indirectly inluences the customer loyalty and it can pesimistically still be enhanced through the policy on tariff and it is dificult to implement, only can be driven if the ticket price provided by the transport service provider is more competitive and more various as well as affordable for the consumer purchase power of that transport sevice.

The importance of business newspaper reading for education is increasing by year-byyear at education level and particularity for University. This study used a quantitative approach seeking a causative explanation of the BNIE (Business Newspaper in Education) learning. After a literature review on the mentioned topics, research model was developed. Our study framework was based on the SERVQUAL Model and TAM (Technology Acceptance Model). A survey of 120 participants (students) was conducted to collect the research data. The valid 100 data were analyzed using PLS-SEM (Partial Least Squares Structural Equation Modeling). Results show the usefulness of BNIE (Business Newspaper in Education) factor is significantly impact on customer satisfaction. And Customer satisfaction is significantly impact on Intention to business newspaper. Some implication and conclusions are included.

ObjectivesPrevious studies have been limited to the use of cross sectional data to identify the relationships between nicotine dependence and smoking. Therefore, it is difficult to determine a causal direction between the two variables. The purposes of this study were to 1) test whether nicotine dependence or average smoking was a more influential factor in smoking cessation; and 2) propose effective ways to quit smoking as determined by the causal relations identified.MethodsThis study used a panel dataset from the central computerized management systems of community-based smoking cessation programs in Korea. Data were stored from July 16, 2005 to July 15, 2008. 711,862 smokers were registered and re-registered for the programs during the period. 860 of those who were retained in the programs for three years were finally included in the dataset. To measure nicotine dependence, this study used a revised Fagerström Test for Nicotine Dependence. To examine the relationship between nicotine dependence and average smoking, an autoregressive cross-lagged model was explored in the study.ResultsThe results indicate that 1) nicotine dependence and average smoking were stable over time; 2) the impact of nicotine dependence on average smoking was significant and vice versa; and 3) the impact of average smoking on nicotine dependence is greater than the impact of nicotine dependence on average smoking.ConclusionsThese results support the existing data obtained from previous research. Collectively, reducing the amount of smoking in order to decrease nicotine dependence is important for evidence-based policy making for smoking cessation.

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Data-driven decision making is needed in uncertain situations. Total quality management is the source of quality management activities and customer satisfaction. This study is related to the investigation into the application of total quality management based on big data management on the public sector in Korea. We developed a research model for total quality management, and investigated the role of moderating big data management between total quality management leadership and quality management. Moreover, this study has examined the relationships between the practices of the total quality management and using big data, including customer needs and wants. The research model is developed and tested to fit it is with the SEM (Structural Equation Model) analysis using data 250 samples in Korea’s public sector. The survey was conducted between 1 August and 30 August 2019. The results are as follow: Total quality leadership has significantly impacted total quality management. Customer satisfaction was found to be significantly affected by total quality management activities. In addition, the level of big data management has the moderation effect between total quality leadership and total quality management in Korea public sectors. It is necessary to systematically manage data management in a situation where the demand for improvement of public service is gradually increasing online in public sector.