The purpose of this research was to investigate how university students' nutrition beliefs influence their health behavioral intention. This study used an online survey engine (Qulatrics.com) to collect data from college students. Out of 253 questionnaires collected, 251 questionnaires (99.2%) were used for the statistical analysis. Confirmatory Factor Analysis (CFA) revealed that six dimensions, "Nutrition Confidence," "Susceptibility," "Severity," "Barrier," "Benefit," "Behavioral Intention to Eat Healthy Food," and "Behavioral Intention to do Physical Activity," had construct validity; Cronbach's alpha coefficient and composite reliabilities were tested for item reliability. The results validate that objective nutrition knowledge was a good predictor of college students' nutrition confidence. The results also clearly showed that two direct measures were significant predictors of behavioral intentions as hypothesized. Perceived benefit of eating healthy food and perceived barrier for eat healthy food to had significant effects on Behavioral Intentions and was a valid measurement to use to determine Behavioral Intentions. These findings can enhance the extant literature on the universal applicability of the model and serve as useful references for further investigations of the validity of the model within other health care or foodservice settings and for other health behavioral categories.

No abstract

With the development of social media, customers are sharing their experiences, and it is rapidly spreading as a form of online review. That is why the online review has become a significant information source affecting customers' purchase intention and behavior. Therefore, it is important to understand the customer's experience shown in the online review in order to maintain sustainable customer satisfaction and loyalty. The purpose of this study is to investigate what are the key attributes and the structural relationship of those key attributes. To accomplish this purpose, a total of 6596 hotel reviews were collected from Google (google.com). A frequency analysis using text mining was performed to figure out the most frequently mentioned attributes. In addition, semantic network analysis, factor analysis, and regression analysis were applied to understand the experience and satisfaction of the hotel customer. As a result, the top 99 keywords were divided into four groups such as "Intangible Service", "Physical Environment", "Purpose", and "Location". The factor analysis reduced the dimension of the original 64 keywords to 22 keywords, and grouped them into five factors, which are "Access", "F&B (Food and Beverage)", "Purpose", "Tangibles", and "Empathy". Based on these results, theoretical and practical implications for sustainable hotel marketing strategies are suggested.

This study was conducted to understand customer experience and satisfaction through airline passengers' online review. To achieve the purpose of this study, the semantic network analysis was conducted qualitatively by collecting reviews in top 10 airlines selected by Skytrax (airlinequality.com). In addition, this study quantitatively identified the relationship among six evaluation factors (seat comfort, staff, food and beverage (F&B), entertainment, ground service, and value for money), customer satisfaction and recommendation. This study collected 9632 reviews from the Skytrax. Through a CONCOR (CONvergence of iterated CORrelation) analysis, keywords were grouped into six clusters (seat comfort, staff, entertainment, ground service, value for money, and airline brand). Through the linear regression analysis, all evaluation factors except 'entertainment' factor significantly had impact on customer satisfaction and recommendation. These results showed that understanding online review can provide both academic implication and practical implication to develop sustainable strategy in the airline industry.

No abstract

No abstract

The purpose of this study is to conduct topic modeling and sentiment analysis on the posts of Skytrax (airlinequality.com), where there are many interests and participation of the people who have used or are willing to use it for airlines. The purpose of people gathering at Skytrax is to make better choices using the actual experiences of other customers who have experienced airlines. Online reviews written by customers with experience using airlines in Asia were collected. The data collected were online reviews from 27 airlines, with more than 14,000 reviews. Topic modeling and sentiment analysis were used with the collected data to figure out what kinds of important words are in the online reviews. As a result of the topic modeling, ‘seat’, ‘service’, and ‘meal’ were significant issues in the flight through frequency analysis. Additionally, the result revealed that delay was the main issue, which can affect customer dissatisfaction while ‘staff service’ can make customers satisfied through sentiment analysis as the result shows the ‘staff service’ with meal and food in the topic modeling.

The purpose of this study is to investigate how foreigners’ health beliefs influence their visiting intentions to Korean medical tourism. This study used an online survey engine (docs.google.com/forms) to collect data from foreigners who are from India, Nepal, Bangladesh, Vietnam, and Mongolia, who are potential Korean medical tourists. Out of 213 questionnaires collected, 200 questionnaires (93.9%) were used for the statistical analysis. The Confirmatory factor analysis (CFA) revealed that six dimensions, “Experience”, “Susceptibility”, “Severity”, “Barrier”, “Benefit”, and “Visiting Intention”, had construct validity; Cronbach’s alpha coefficient was tested for item reliability. It is expected that four variables in the health belief model (HBM) that are determined by objective and logical thinking processes will affect the choice of Korean medical tourism. The results showed that Susceptibility, Severity, Barrier, and Benefit had significant effects on Visiting Intention and was a valid measurement to determine “Visiting Intention”.