• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.323-335
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• 2012

The purpose of this study is to clarify the impact of information contents at online purchase sites of movie merchandise. The results of this study are as follows: 1) Movie-understanding information(synopsis, actors, reviews) has a meaningful influence on information service satisfaction irrespective of consumer involvement; 2) Movie-understanding and movie-going information(time, place, price, purchasing method) are alike in having a meaningful influence on online purchasing intention. However, movie-going information has a meaningful influence in case of lower consumer involvement, while movie-understanding information has a meaningful influence in case of higher consumer involvement.; 3) Information service satisfaction gives a strong influence on online purchasing intention irrespective of the level of consumer involvement. In conclusion, there is a need to improve diversity and quality of movie-understanding information to enhance consumer satisfaction. Also, it will be necessary to improve movie-understanding and movie-going information in order to enhance online purchasing intention. These results are expected to give an insight to build a creative marketing strategy of online purchase sites of movie merchandise.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.496-499
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• 2019

The study aims to collect detailed movie information from box office of the Korea Film Council and data on Naver's movie ratings to analyze important factors affecting the movie's popularity based on movie audiences and ratings.

• Asia Marketing Journal
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• v.21 no.1
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• pp.1-21
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• 2019

Online platforms often provide rating information to customers to relieve the uncertainty they encounter when purchasing experience goods. Prior research has focused mostly on the roles of rating volume and the valence of an average rating among the various possibilities. However, less frequently investigated is the effect of rating dispersion, which may be associated with uncertainty regarding how well a product fits a customer's personal preference, on new trials of experience goods. In this study, we examine the effect of rating dispersion on new trials of experience goods and identify the conditions which intensify or reduce the effect. Empirical analyses of movie box office sales data and online rating data reveal three interesting findings. First, movie sales decrease as movie ratings become increasingly dispersed. Second, the negative effect of rating dispersion on movie sales is more pronounced with more rating volume. Third, this negative effect weakens when additional information about a movie is available (i.e., higher average rating, greater star power, and time since its release). We discuss the academic and practical implications of our findings.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1643-1651
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• 2014

Social networking services (in short, SNS) allow users to share their own data with family, friends, and communities. Since there are many kinds of information that has been uploaded and shared through the SNS, the amount of information on the SNS keeps increasing exponentially. Particularly, Facebook has adopted some interesting features related to entertainment (e.g., movie, music and TV show). However, they do not consider contextual information of users for recommendation (e.g., time, location, and social contexts). Therefore, in this paper, we propose a novel approach for movie recommendation based on the integration of a variety contextual information (i.e., when the users watched the movies, where the users watched the movies, and who watched the movie with them). Thus, we developed a Facebook application (called MyMovieHistory) for recording the movie history of users and recommending relevant movies.

• The Journal of Information Systems
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• v.16 no.4
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• pp.157-176
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• 2007

Most of the Information Systems(IS) literature has focused on utilitarian or hedonic Information Technology(IT) to explain and predict IT adoption and use. This study investigates the relationships among individuals' beliefs and intention to use of movie website, which has both utilitarian and hedonic characteristics simultaneously. As a theoretical background, this study adopts Technology Acceptance Model(TAM) and Motivation Theory, in which the former is well-known as a theory of IT adoption and use in IS field, and the latter is famous for a theory of individual's behavior in organizational behavior field. With 153 responses, five hypotheses are tested by using structured equation model. The results show that perceived ease of use positively influences perceived usefulness and perceived enjoyment, and that all individuals' beliefs have a positive impact on intention to use of movie web-site. Based upon the study results, movie website's managers and professionals can plan and conduct their courses of action effectively for users' continuous visits on their operating website.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.177-186
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• 2015

This study is related to determination of the intention to watch a movie, which is affected by various emotional, environmental, and behavioral factors. In case of personal factors, personal taste formed on the basis of previously experienced movie related information affects selection of movies, while environmental factors are affected mostly by residental community experience, cognitive attitude, subjective norms, as well as the view of values. In this study, the determinants on decision to watch movie have been analyzed applying the theory of planned behavior. Taking into consideration that the determination, based on either personal factors or environmental factors, of consuming movie products stars from reasonable information collecting and that movie poster has been the primary source of information on movie products since the inception of the movie industry, this study analyzed tastes of movie watchers and many variables of movie poster format on determination of intention to watch movie. The results from this empirical study indicate that movie poster is effective means of low cost marketing inducing movie watching in terms of consuming minimum time and space with high speed of delivery while satisfying primary interest on the movie product. It is suggested movie posters should be prepared to make appeal to each generation of target consumers and be put on the market as a product of artistic work.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.161-178
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• 2014

Recently, many information services allow users to collaborate to produce and use information. Sharing information is also important for users who have similar taste or interest. As various channels are available for users to share their experiences and knowledge, users' data have also been accumulated within the information services. This study collected movie lists made by users of IMDB service. Co-word analysis and ego-centered network analysis were adapted to discover relevant information for users who chose a specific movie. Three factors of movies including movie title, director and genre were used to present related movie information. Movie title is an effective feature to present related movies with various aspects such as theme or characters and the popularity of directors affects on identifying related directors. Genre is not useful to find related movies due to the complexity in the topic of a movie.

• Journal of the Korea Society of Computer and Information
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• v.10 no.1 s.33
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• pp.73-84
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• 2005

An increasing in quantity of multimedia data brought a new problem that expected data should be retrieved fast and exactly. The adequate representation is a key element for the efficient retrieval For this reason, the MPEG-7 standard was established for description of multimedia contents in 2001. Recently, the new metadata were developed to represent characteristics of movie information resources by Korea Federation of Film Archives. In this paper. we designed and implemented a movie information retrieval system. This system used XML schema to accept movie information metada. This system offers a keyword retrieval using high-level metadata based on movie information and similarity retrieval using low-level metadata based on MPEG-7. As a result, that ill be Possible more efficient movie information interchange . movie information metadata reuse and fast retrieve.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.19-29
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• 2016

This paper suggests a method to refine a massive collective intelligence data, and visualize with multilevel sentiment network, in order to understand information in an intuitive and semantic way. For this study, we first calculated a frequency of sentiment words from each movie review. Second, we designed a Heatmap visualization to effectively discover the main emotions on each online movie review. Third, we formed a Sentiment-Movie Network combining the MDS Map and Social Network in order to fix the movie network topology, while creating a network graph to enable the clustering of similar nodes. Finally, we evaluated our progress to verify if it is actually helpful to improve user cognition for multilevel analysis experience compared to the existing network system, thus concluded that our method provides improved user experience in terms of cognition, being appropriate as an alternative method for semantic understanding.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1422-1427
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• 2013

This paper proposed a movie retrieval system based on sentimental keywords extracted from user's movie reviews. At first, sentimental keyword dictionary is manually constructed by applying morphological analysis to user's movie reviews, and then keyword weights in the dictionary are calculated for each movie with TF-IDF. By using these results, the proposed system classify sentimental categories of movies and rank classified movies. Without reading any movie reviews, users can retrieve movies through queries composed by sentimental keywords.