• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.133-139
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• 2019

This study investigated what type of destination image on Facebook increases positive attitude towards the destination and desire to travel. More specifically, we hypothesized that Facebook user's public self-consciousness will moderate the advertising effect, so we tested the difference in attitude towards the destination and willingness to visit and recommend based on the type of destination image (presence/absence of a tourist in the image) and user's public self-consciousness (high/low). As a result, when a tourist was present in the photo, positive attitude toward destination was higher than when absent. In addition, the high public self-consciousness group showed greater attitude toward destination and higher willingness to visit and recommend than low public self-consciousness group when a tourist was present in the image. However, the low public self-consciousness group showed no difference depending on the presence of a tourist. This research not only is academically significant as it experimentally tested advertising effect depending on type of destination image and Facebook user's public self-consciousness, but also holds practical significance as it suggests advertisement method to consider consumer's predisposition.

• Land and Housing Review
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• v.13 no.3
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• pp.1-20
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• 2022

This study analyses how much Korean visits to North Korea have an impact on the North Korean regional economy. It estimates the demand for North Korean tourism via the borders of North Korea, China, and Russia and South Korean expenses to be spent in North Korea. When asked if they are willing to visit North Korea within the next five years in case the pre-conditions of the visit to North Korea are satisfied, approximately 64.1% of the survey respondents indicated 'yes'. To estimate the demand, this research employed the analysis of purchase intention, popular in marketing, based on their willingness to visit. The annual demand for tourism was 4,136,361 persons. The average estimated expense per person is KRW 1,532,000 and the total annual expense is KRW 6,336.9 billion. Assuming that airfare is excluded from the total expense and the expense is made evenly in each tourist destination, the estimated amount to be spent in North Korea is KRW 2,838.7 billion per annum. The backward linkage effect of this expense on the North Korean regional economy is KRW 7,972.1 billion in total production inducement, KRW 2,619.4 billion in value-added inducement, and approximately 2,890,443 persons in employment inducement. The value-added inducement effect is estimated to be approximately 7.6% of the North Korean nominal GDP in 2020. South Korean tourism is expected to have a significant impact on the North Korean economy. As the demand for North Korean tourism is likely to increase steadily due to the expected increase in overseas travel demand by Koreans, inter-Korean cooperation is needed for the development of North Korean tourism infrastructure if conditions improve.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2389-2395
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• 2015

An accurate feedback about customer satisfaction is a very important factor to efficiently manage achievements in the service industry. However, Korea is lack of quantitative and standardized system of customer satisfaction measurement. This paper suggests standardized survey system with more in-depth and various methods of questionnaire survey as well as analysis which is able to efficiently evaluate customer satisfaction. This system is that investigates customer satisfaction of process based services, which uses various methods including simply designed questionnaires, customer satisfaction survey via mobile, and an investigation on follow-up satisfaction rate. In addition, we adopted scoring system to digitize a degree of satisfaction rate, so the suggested system provides an opportunity to improve specific objects those need to be improved by clearly evaluating a degree of satisfaction rate and applying various analysis techniques, such as IPA (Importance Performance Analysis), process analysis, and expectation analysis etc. This study substantiates suggested system through applying it to travel agency which is a representative enterprise of tour service.

• The Korean Journal of Air & Space Law and Policy
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• v.34 no.1
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• pp.203-234
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• 2019

The concept of denied boarding is defined in Article 2(j) of Regulation 261/2004 thus: "denied boarding means a refusal to carry passengers on a flight, although they have presented themselves for boarding under the conditions laid down in Article 3(2), except where there are reasonable grounds to deny them boarding, such as reasons of health, safety or security, or inadequate travel documentation." So far as relevant to this case, to be entitled to compensation, if denied boarding, Article 3(2) provides a passenger must first come within the scope of the protection of the Regulation, which applies under the following conditions: "${\cdots}$.that passengers (a) have a confirmed reservation on the flight concerned and, except in the case of cancellation referred to in Article 5, present themselves for check-in, as stipulated and at the time indicated in advance and in writing (including by electronic means) by the air carrier, the tour operator or an authorised travel agent, or, if no time is indicated, not later than 45 minutes before the published departure time." This paper reviews the EU Cases such as Rodríguez Cachafeiro v. Iberia [2012] Case C-321/11; Finnair Oyj v. Timy Lassooy [2012] Case C-22/11; Caldwell v. easyJet Airline Co. Ltd. [2015] ScotSC 64. ECJ and Sheriff court of Scotland held that the concept of denied boarding, within the meaning of Articles 2(j) and 4 of Regulation No 261/2004 establishing common rules on compensation and assistance to passengers in the event of denied boarding and of cancellation or long delay of flights, and repealing Regulation No 295/91, must be interpreted as relating not only to cases where boarding is denied because of overbooking but also to those where boarding is denied on other grounds, such as operational reasons. Also, ECJ ruled that Articles 2(j) and 4(3) must be interpreted as meaning that the occurrence of extraordinary circumstances resulting in an air carrier rescheduling flights after those circumstances arose cannot give grounds for denying boarding on those later flights or for exempting that carrier from its obligation, under Article 4(3) of that regulation, to compensate a passenger to whom it denies boarding on such a flight.

• Journal of Korea Port Economic Association
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• v.36 no.3
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• pp.1-20
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• 2020

Coastal ferry routes are very important because they connect the mainland to islands, offer transportation for islanders, and bring tourism to islands. In particular, the recent increase in national income, prevalence of a culture that emphasizes work-life balance, and introduction of the five-day workweek have stoked interest in travel as a leisure pursuit, and demand for tourism from Korean people in islands has increased. As the number of passengers using coastal passenger terminals increases due to changes in the coastal tourism environment, the importance and need for coastal passenger terminal facilities and services is growing. Under these circumstances, it is necessary for the management organizations of coastal passenger terminals to manage and efficiently operate the terminals in such a way that budgets can be reasonably implemented and the convenience of passengers using the terminals is enhanced. This study primarily analyzed the management efficiency of coastal passenger terminals in terms of profitability and public interest using data envelopment analysis. The eight passenger terminals achieved low management efficiency in terms of profitability. These terminals should improve profitability by increasing income from terminal office rental and ancillary businesses and revenue from terminal fees by boosting island tourism and expanding overseas passenger transportation. The eight terminals with low management efficiency for public interest should increase the number of passengers by promoting island tourism, developing tour packages to Japan and China's coastal areas, developing new routes, and introducing super-high-speed ships.

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