• The Journal of the Korea Contents Association
• /
• v.18 no.1
• /
• pp.19-30
• /
• 2018

The main purposes of this study are to analyze the contents and text network of online tourism information. For this purpose, Jeju Island, one of the representative tourist destinations in South Korea is selected as a study site. And this study collects the contents of both JeJu official tourism website and Sina Weibo's personal blogs which is one of the most popular Social Network Systems in China. In addition, this study analyzes this online text information using ROST Content Mining System, one of the Chinese big data mining systems. The results of the content analysis show that the formal website of Jeju includes the nouns related to natural, geographical and physical resources, verbs related to existence of resources, and adjectives related to the beauty, cleanness and convenience of resources mainly. Meanwhile, personal blogs include the nouns of Korean-wave, food, local products, other destinations and shopping, verbs related to activity and feeling in Jeju, and adjectives related to their experiences and feeling mainly. Finally, the results of text network show that there are some strong centrality and network of online tourism information at formal website, but there are weak relationships in personal blogs. The results of this study may be able to contribute to the development of demand-based marketing strategies of tourists destination.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.8
• /
• pp.535-542
• /
• 2013

Since case-based reasoning(CBR) has many advantages, it has been used for supporting decision making in various areas including medical checkup, production planning, customer classification, and so on. However, there are several factors to be set by heuristics when designing effective CBR systems. Among these factors, this study addresses the issue of selecting appropriate neighbors in case retrieval step. As the criterion for selecting appropriate neighbors, conventional studies have used the preset number of neighbors to combine(i.e. k of k-nearest neighbor), or the relative portion of the maximum similarity. However, this study proposes to use the absolute similarity threshold varying from 0 to 1, as the criterion for selecting appropriate neighbors to combine. In this case, too small similarity threshold value may make the model rarely produce the solution. To avoid this, we propose to adopt the coverage, which implies the ratio of the cases in which solutions are produced over the total number of the training cases, and to set it as the constraint when optimizing the similarity threshold. To validate the usefulness of the proposed model, we applied it to a real-world target marketing case of an online shopping mall in Korea. As a result, we found that the proposed model might significantly improve the performance of CBR.

• Management & Information Systems Review
• /
• v.31 no.3
• /
• pp.271-305
• /
• 2012

Due to the growing activity of online communities recently, its influence is gradually growing. Furthermore, it also has a huge effect on corporations in establishing their marketing strategy. One important aspect that occurs is that there is a high possibility that the interest of online community members, which was first organized because of a common interest, will be similar. Thus, there is a growing desire to share information and knowledge that would be mutually useful among them. Therefore, this study aims at revealing the motivation factors on why such knowledge sharing behavior occurs among online community members that are voluntarily organized. The detailed objectives of this survey is to first conduct qualitative research on online community members, and then to examine what are the motivation factors that cause knowledge sharing behavior among online community members. Second, by developing questionnaires according to the analyzed contents of the qualitative research results, the reliability and feasibility of such questions are to be verified. As a result, new motivation factor of knowledge sharing which was not suggested in the existing studies because of characteristics of online community was revealed. If the results of existing related studies and those of this study are compared, the six factors such as desire of showing off, awareness, perceived benefits, pleasure, challenge and sense of belonging except for motivator such as sense of achievement and compensation, trust are newly discovered motivators of knowledge sharing behavior.

• Journal of Digital Convergence
• /
• v.15 no.2
• /
• pp.99-113
• /
• 2017

The purpose of study was to test the effects of service quality of regional festivals showing the characteristics of convergence service and perceived value of visitors on intention of word-of-mouth, and the moderating role of perceived value between service quality and intention of word-of-mouth. For this empirical study, the data were collected and selected from 320 residents in Wonju province and visitors for Wonju Hanji Cultural Festival from all around from the South Korea by using structured questionnaires. The data were analyzed by hierarchical regression technique. The results showed that both of 7 factors of service quality of regional festivals and 2 factors of perceived value had a positive effect on visitors' intention of word-of-mouth. And also found out the only one out of two perceived value factors, namely 'non-monetary value' had the moderate roles between service reliability out of 7 service quality factors and intention of word-of-mouth. The results of study was summarized and theoretical implications of the findings with practical applications were discussed. After then, the directions for further study were presented based on the limitation of this one.

• Korean Journal of Environment and Ecology
• /
• v.25 no.4
• /
• pp.621-630
• /
• 2011

This research examines the push and pull factors of temple stay in Korean national parks. 152 participants of temple stay in Woljeongsa and Guryongsa in national parks in Gangwon-do area completed a survey to access their reasons for participating in temple stay(push factors) and to evaluate how well the visiting experience performed on a selected set of attributes(push factors). Demographics of respondents were similar to the visitor characteristics of Korean national parks. The result of factor analysis identified 6 push factor domains of 'self actualization', 'health enhancement', 'nature assimilation', 'relationship elevation', 'religious experience', and 'leisure experience'. 6 pull factor domains were 'recuperative quality', 'quality of a temple stay program', 'attributes of a temple', 'user convenience', 'tourism experience' and 'accessibility and transportation'. Satisfaction level of temple stay in a national park was very high of 4.71 in a 5 Likert scale. Gangwon- Do was most preferred with the percentage of 89.2 as a suitable area for temple stay in a national park. Findings of multi-dimensional tourism motivations of temple stay in a national park that encompass nature tourism, cultural tourism and religious tourism is expected to provide useful information for the future development of a more competitive temple stay program and a marketing strategy. However, more defined successive research work is required to generalize findings of wellness oriented push and pull factors of temple stay based on nature in national parks.

• The Journal of Society for e-Business Studies
• /
• v.20 no.3
• /
• pp.11-28
• /
• 2015

Due to the mobil-centered lifestyle following the wider use of Smartphones, Mobile services, including mobile banking and mobile shopping business have increased rapidly. Also with the emergence of "Fintech", which finance combined with technology, IT based financial market is going to be highly promising. In this trend, interests mobile credit cards are increasing. But diffusion of the mobile credit card services is still in the low level. In this situation, to identify factors that influencing satisfaction and continuous usage intention on mobile credit card, this study applied innovation diffusion theory (IDT) and post acceptance model (PAM). To conducting this research, survey data were collected, and we used SmartPLS to analyze survey data. As a result of the study, perceived easy of use, image, compatibility and facilitation positively affect user's satisfaction in mobile credit cards and that such satisfaction have a positive impact on continuous intention to use. The facilitation influences user satisfaction more strongly for those who use mobile credit cards more than plastic credit cards. Also, perceived of use and image influence user satisfaction more strongly for those who use plastic credit cards more than mobile credit cards. It is expected that this study can be a guideline for credit card service providers and policy makers to invigorate mobile credit card business. Also it worths as a early-stage research on Fintech-related studies.

• Journal of Korea Port Economic Association
• /
• v.28 no.3
• /
• pp.193-214
• /
• 2012

The interest on cruise service has been increased due to the economic development and income growth all over the world during last several decades. However, cruise industry in Korea is located in the initiating stage and the service is just focused on costal cruise service. This study investigates relationship between influencing factors of the selection attributes of cruise service on tourism satisfaction and behavioral intention. Additionally, the study aims to provide information to establish customer-oriented marketing strategies for cruise tour service. Literature review is conducted to find out the factors in order to meet the future users preference and expectations. The data was collected on-board customers of "One Night Cruise" on Panstar Line. The result of the study shows that a certain number of factors are statistically significant on the cruise tour intention of potential customers. It shows that there is significant difference related to the using purpose and the usage attitude. Managers in the cruise company are able to utilize the practical implications of the present study when the cruise service launches in Korea. This study exists limitations that samples are not sufficient and the research can not be generalized due to the inadequate samples of target company.

• Journal of Korean Society of Forest Science
• /
• v.99 no.4
• /
• pp.517-527
• /
• 2010

The purpose of this study was to investigate the causal relationship among perceived value, satisfaction and revisit intention for visitors of the Korea National Arboretum. Three hundred respondents were selected by quota sampling, and well-known measurement scales utilized in marketing field were adopted in order to measure three variables with some modification to apply for arboretum visitors. Results of structural equation model showed that perceived value affected visitors' satisfaction, which in turn influenced revisit intention. Specifically, "emotional value" had the most significant influence on satisfaction, followed by "value for money" and "novelty value"; however, "social value" was not an influential construct. Based on calibration results, several strategies were suggested for the effective management. Authors advised that (a)improvement of measurement scale of value, (b)inclusion of self-congruity as antecedent variable to satisfaction, (c)changing revisit intention to word-of-mouth communication as a post-purchase behavioral intention, and (d)implementation of market segmentation should be considered for future research.

• Smart Media Journal
• /
• v.8 no.4
• /
• pp.58-63
• /
• 2019

The growth of the mobile device market has changed the education market and led to the quantitative growth of various media education. In particular, smart devices, which have better interaction than existing PCs or consoles, can develop more user-friendly content, allowing various types of educational content and inducing changes in traditional education methods for consumers. Although many researchers recently suggest viable development methods or marketing elements of contents, development companies, and developers, until now, merely rely on the human senses. Therefore, it is necessary to study the actual user's smart-device based usability and experience environment. This study aims to propose an intuitive statistical processing method for analyzing the usability of game-type educational contents in terms of form, for popular games that have been released as a basis for analyzing the user experience environment. In particular, because the game industry has a sufficient number of similar examples, it is possible to conduct research based on big data and to use them for immediate decision-making between multiple co-developers through the analysis method proposed by the research. It is expected to become an analytical model that can communicate with other industries because it is effective in securing data sources.

• Journal of Intelligence and Information Systems
• /
• v.21 no.1
• /
• pp.15-28
• /
• 2015

As personal devices and pervasive technologies for interacting with networked objects continue to proliferate, there is an unprecedented world of scattered pieces of contextualized information available. However, the explosive growth and variety of information ironically lead users and service providers to make poor decision. In this situation, recommender systems may be a valuable alternative for dealing with these information overload. But they failed to utilize various types of contextual information. In this study, we suggest a methodology for context-aware recommender systems based on the concept of contextual boundary. First, as we suggest contextual boundary-based profiling which reflects contextual data with proper interpretation and structure, we attempt to solve complexity problem in context-aware recommender systems. Second, in neighbor formation with contextual information, our methodology can be expected to solve sparsity and cold-start problem in traditional recommender systems. Finally, we suggest a methodology about context support score-based recommendation generation. Consequently, our methodology can be first step for expanding application of researches on recommender systems. Moreover, as we suggest a flexible model with consideration of new technological development, it will show high performance regardless of their domains. Therefore, we expect that marketers or service providers can easily adopt according to their technical support.