• Knowledge Management Research
• /
• v.20 no.1
• /
• pp.101-132
• /
• 2019

In order to enhance the competitiveness of tourism destinations, it is important to manage tourist products considering the characteristics of tourist destinations and the characteristics of tourists. In this study, we divided Seoul's tourism products into four parts (shopping, food, culture, and natural landscape) to explore if there are some direct connections between tourism product involvement, self-congruity, and functional congruity. The other research question is if the degree of tourism product involvement reaches a certain intensity, will the place attachment be generated and the destination satisfaction be fulfilled. The survey was the focus on the international visitors in smart city, Seoul by using the random sampling and convenience sampling and collected 250 data. Finally, we found that destination personality significantly affects both self-congruity and functional congruity. If self-congruity and functional congruity are formed, tourism product involvement will be stimulated which will finally satisfy tourists and arouse their place attachment. The implications of these findings contribute to destination marketers to develop more effective destination management.

• The Journal of Economics, Marketing and Management
• /
• v.11 no.2
• /
• pp.47-55
• /
• 2023

Purpose: The purpose of this study is to investigate the relationship between product characteristics, product preference and purchase intention for Mongolian tourists visiting Korea, and in particular, to analyze the moderating effect of product involvement and tourist image in the relationship between product characteristics and purchase intention. Research design, data, and methodology: A research model was derived through existing literature research and a survey was conducted on Mongolian tourists visiting Korea. SPSS and AMOS24.0 were used for data analysis and hypothesis testing. Results: The tourism product characteristics affect the product preference and purchase intention. Tourist image and involvement have moderating effects between product preference and purchased intention. Conclusions: This study demonstrated that product characteristics at travel destinations is a key factor in order to enhance the product preference and purchase intention for foreigners visiting Korea. On the other hand, since the purchase intention of the tourism destination vary depending on tourist image and involvement, it suggests that travel industry practitioners or researchers should try to various efforts to enhance the factors which affect the involvement or the tourists or image of the tourist site.

• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.3
• /
• pp.65-72
• /
• 2018

The purpose of this paper is to understand the influence of country personality dimensions and product involvement on European consumers purchase and visit intentions, considering the Portuguese context. The increasing economic globalisation has resulted in the reducing of trade barriers between nations and the availability of more foreign products and services across borders. Therefore, the place associations of these products and services might be regarded as a potential competitive differentiator in their respective markets. Despite the proliferation of literature devoted to assessing the effects of country-of-origin, the symbolic dimension of a country's image remains understudied. A questionnaire measuring country personality dimensions, product involvement, and consumer's purchase and visit intention was passed on a sample of 335 European consumers. Country personality indeed matters both positively and negatively. Findings show that while assiduousness positively influences consumer's visit intentions, wickedness has a negative influence on consumer's purchase intentions. Findings also reveal that product involvement has a positive significant influence on consumer's purchase and visit intentions. On developing marketing strategies, international marketers and governmental decision-makers should consider product involvement attributes and specific country personality traits to provide the country's products with a competitive edge, as well as to promote the country as a travelling destination.

• Journal of the Korean Society of Food Culture
• /
• v.21 no.6
• /
• pp.614-622
• /
• 2006

This study is intended to investigate the wine consumers' reason of drinking and purchasing behavior according to their product involvement. Questionnaires were obtained from wine consumers at wine retailer stores. Trained researchers of this particular study conducted survey and finally 230 questionnaires were analyzed using SPSS package program(v.12.0). The subjects were categorized three different groups(high, medium, and low) based on their wine involvement. The further analysis showed that differences in reasons of wine drinking and purchasing behavior according to their involvement levels, and the characteristics of three segments were summarized at the end of the results. Consumers in high involvement drink wine mainly because they wanted to enjoy various wine experiences and have abundant knowledge for wine. Consumers in medium and low involvement would like to drink due to enjoyment of wine drinking. Expenses of purchasing, quantity and frequency of wine purchasing, country of origin, and sources for wine information showed differences among three consumer groups, but differences were not presented in type of wines and purchasing place by consumers' wine involvement.

• Journal of the Korean Society of Costume
• /
• v.59 no.5
• /
• pp.167-179
• /
• 2009

The purposes of this study were to explore the influence on fashion brand image and brand loyalty according to fit of the fashion brand with cultural art field, motivation in culture marketing of the apparel company, and involvement of the consumers in art activities. The subjects ware 274 male and female in 20s and 30s living in Seoul and Gyeonggi area. The study was obtained through the use of an experimental design which was $2{\times}[2{\times}2]$ mixed factorial design. The summary main results were as follows. First, as far as the effect of the three variables on the social contribution image of the fashion brand, the results of the 3-way interaction are positive. Second, as far as the effect of the three variables on the product image of the fashion brand, the data suggests that only the main-effect of motivation in culture marketing of the apparel company is meaningfully positive. Third, as far as the effect of the three variables on fashion brand loyalty, both fit of the fashion brand with cultural art field and involvement of the consumers in art activities variables show positive results.

• Journal of Intelligence and Information Systems
• /
• v.23 no.3
• /
• pp.155-175
• /
• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.