• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.33-49
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• 2018

The impact of TV Drama success on TV Rating and the channel promotion effectiveness is very high. The cultural and business impact has been also demonstrated through the Korean Wave. Therefore, the early prediction of the blockbuster success of TV Drama is very important from the strategic perspective of the media industry. Previous studies have tried to predict the audience ratings and success of drama based on various methods. However, most of the studies have made simple predictions using intuitive methods such as the main actor and time zone. These studies have limitations in predicting. In this study, we propose a model for predicting the popularity of drama by analyzing the customer's viewing pattern based on various theories. This is not only a theoretical contribution but also has a contribution from the practical point of view that can be used in actual broadcasting companies. In this study, we collected data of 280 TV mini-series dramas, broadcasted over the terrestrial channels for 10 years from 2003 to 2012. From the data, we selected the most highly ranked and the least highly ranked 45 TV drama and analyzed the viewing patterns of them by 11-step. The various assumptions and conditions for modeling are based on existing studies, or by the opinions of actual broadcasters and by data mining techniques. Then, we developed a prediction model by measuring the viewing-time distance (difference) using Euclidean and Correlation method, which is termed in our study similarity (the sum of distance). Through the similarity measure, we predicted the success of dramas from the viewer's initial viewing-time pattern distribution using 1~5 episodes. In order to confirm that the model is shaken according to the measurement method, various distance measurement methods were applied and the model was checked for its dryness. And when the model was established, we could make a more predictive model using a grid search. Furthermore, we classified the viewers who had watched TV drama more than 70% of the total airtime as the "passionate viewer" when a new drama is broadcasted. Then we compared the drama's passionate viewer percentage the most highly ranked and the least highly ranked dramas. So that we can determine the possibility of blockbuster TV mini-series. We find that the initial viewing-time pattern is the key factor for the prediction of blockbuster dramas. From our model, block-buster dramas were correctly classified with the 75.47% accuracy with the initial viewing-time pattern analysis. This paper shows high prediction rate while suggesting audience rating method different from existing ones. Currently, broadcasters rely heavily on some famous actors called so-called star systems, so they are in more severe competition than ever due to rising production costs of broadcasting programs, long-term recession, aggressive investment in comprehensive programming channels and large corporations. Everyone is in a financially difficult situation. The basic revenue model of these broadcasters is advertising, and the execution of advertising is based on audience rating as a basic index. In the drama, there is uncertainty in the drama market that it is difficult to forecast the demand due to the nature of the commodity, while the drama market has a high financial contribution in the success of various contents of the broadcasting company. Therefore, to minimize the risk of failure. Thus, by analyzing the distribution of the first-time viewing time, it can be a practical help to establish a response strategy (organization/ marketing/story change, etc.) of the related company. Also, in this paper, we found that the behavior of the audience is crucial to the success of the program. In this paper, we define TV viewing as a measure of how enthusiastically watching TV is watched. We can predict the success of the program successfully by calculating the loyalty of the customer with the hot blood. This way of calculating loyalty can also be used to calculate loyalty to various platforms. It can also be used for marketing programs such as highlights, script previews, making movies, characters, games, and other marketing projects.

• Journal of Korean Society of Archives and Records Management
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• v.1 no.1
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• pp.37-52
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• 2001

1. establishment and development of China archives science: With the centuries-old history of archives and archives management, early China archives science came into being in 1930s, and the research pushed forward by archives enterprise has made great achievements since then. 1.1 Expanding research fields: Foundation

• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.67-84
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• 2023

Gender diversity policies aim to reduce institutional discrimination in a male-dominated society and the underutilization of women in terms of the economy. Extant gender diversity literature has focused on gender diversity policies premised on women being treated as a minority. However, since women-centered occupational groups do exist, women cannot be considered an absolute minority. Therefore, we explored the gender difference in job seekers' reactions to a diversity policy favorable to men. The experiment divided participants into 2 (Gender: Male, Female) × 2 (Diversity: Favorable, Unfavorable), canvassing 329 college students (156 male, 173 female). Participants evaluated the organizational justice and organizational attractiveness of the virtual company by looking at the diversity cues presented in the job posting seeking new employees. As a result, it was confirmed that if the diversity cues presented in the job posting were favorable (vs. unfavorable) to the individual, the organization's distribution justice and procedural justice perceptions were generated differently according to the gender of the job seeker. Moreover, female job seekers perceived distribution justice and procedural justice as higher than male job seekers when they encountered diversity cues that were favorable (vs. unfavorable) to them. In addition, the relationship between diversity cues and organizational attractiveness was mediated by the perception of organizational justice, and this mediating effect was moderated by gender. For women, on the one hand, the mediating effect through the perception of distributive justice and procedural justice was significant in the relationship between diversity cues and organizational attractiveness. On the other hand, the mediating effect alone through the perception of procedural justice was significant for men. Our findings suggest that identical diversity managements are distinguished by individuals' social status or affiliation and may even result in differentiated behaviors.