• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.4200-4206
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• 2012

Recently, online-game industry has been rapidly expanding in these days. But, the various game service victimized cases are generated by the bots program. Particularly, the abnormal collection of the game money and item loses the inherent fun of a game. It reaches ultimately the definite bad effect to the game life cycle. In this paper, we propose a Bots detection method by observing the playing patterns of game characters with game log data. It analyzed behaviors of human players as well as bots and identified features to build the model to differentiate bots from human players. In an experiment, by using the served online-game, the model of a user and bots were generated was distinguished. And the reasonable result was confirmed.

• Archives of design research
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• v.19 no.2 s.64
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• pp.195-206
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• 2006

The computer game industry has managed to become the fastest growing segment of the entertainment industry nowadays. However, only a very low number of computer game products manage to cover the costs of production and generate earnings. According to traditional marketing wisdom, customers' preferences are a core issue in creating successful products, and the design process in game is crucial for guaranteeing garners' satisfaction. This research aimed to explore key design factors for the game design based on the new framework of the usability evaluation. We examined the usability in Massively Multi-player Online Role-playing Games (MMORPGs) and reviewed literatures related to games simultaneously. We identified eighteen usability issues in MMORPG and presented its recommendation relevant to the issues. Moreover, the results of the study showed fifty four key design factors composed of game interface, game play, game narrative, and game mechanics for the game design. The research is concluded with key implications to support the early stage of the design process in game.

• Journal of Korea Game Society
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• v.11 no.1
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• pp.159-168
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• 2011

Online game industry has achieved remarkable development not only in Korea, but also in the world with support from huge progress in information technology. By the way, there was calm period that top tier MMORPGs had held their ranks in oligopoly situation before Aion's appearance. At that time, NHNgames succeeded to penetrate into the market and settle down as a major player. In this context, this study will identify the factors of successful market entry strategy and draw helpful ideas by analyzing case of NHNgames which succeeded to enter the market of MMORPG through the basic strategic framework of Kalyanaram and Gurumurthy. This discussion will provide several implications for the solution of online game market penetration problem which might be never ended and for the way of industry's development.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.260-270
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• 2013

This paper proposes a strategic portfolio model for managing performance of online games. The portfolio matrix is composed of two dimensions: financial performance and non-financial performance. Financial performance is measured by the conventional measure, average revenue per user (ARPU). In terms of non-financial performance, five non-financial key performance indicators (KPIs) that have been widely used in the online game industry are utilized: RU (Register User), VU (Visiting User), TS (Time Spent), ACU (Average Current User), MCU (Maximum Current User). Data envelopment analysis (DEA) is then employed to produce a single performance measure aggregating the five KPIs. DEA is a linear programming model for measuring the relative efficiency of decision making unit (DMUs) with multiple inputs and outputs. This study employs DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output model without inputs. Combining the two types of performance produces the online game portfolio matrix with four quadrants: Dark Horse, Stop Loss, Jack Pot, Luxury Goods. A case study of 39 online games provided by company 'N' is provided. The proposed portfolio model is expected to be fruitfully used for strategic decision making of online game companies.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.184-194
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• 2023

Recently, there has been a lot of interest in the game industry, which has become more spotlighted due to the beginning of the metaverse, and the industry is gradually expanding and developing. However, workforces leading the game industry are increasingly complaining of fatigue due to the COVID-19 situation. Also, as the situation crosses online and offline at the same time, a 52-hour workweek is becoming increasingly important. Therefore, this study sought to conduct research on the acceptance of a 52-hour workweek system according to the characteristics of the game industry. This study proposed various research questions and presented academic and practical implications by verifying them.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.207-227
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• 2003

The purpose of this research is to identify if psychological temptation, site quality and sense of community influence user's flow and addiction and to identify causalities among flow, addiction, customer satisfaction and customer loyalty in online industry. Many previous researches in the area of online games have been carried out about addiction by psychologist and about the development of related technologies by scientists. There are only a few studies about the customer satisfaction from the online business perspective. However, this research is different from the previous ones in the sense that both flow and addiction are considered in the study of the relationship between customer satisfaction/loyalty and flow/addiction in the area of online industry. The empirical results of high-order factor analysis indicate that six independent variables such as design, information, feedback, impulsiveness and motivation have converge three second-order variables such psychological temptation, site quality and sense of community. Consequently, site quality and sense of community have impacts on the flow, while on the other hand, psychological temptation has impacts on the addiction. Conclusively, customer satisfaction and loyalty are positively related not with the addiction but with the flow. Besides, customer loyalty is significantly influenced by the flow and the customer satisfaction. This indicates that companies in the online game industry have to develop a strategy for the flow which is more socially and ethically allowable than the addiction.

• Journal of Korea Game Society
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• v.12 no.4
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• pp.33-44
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• 2012

With the development of online game industry, the focal structure of game industry is under the expansion from content production to service management. In line with the trend, game service management and user satisfaction to the service as well have gained their weight in the game industry. However, since previous studies have focused on content production, little was discussed on the game service management. The current study investigated the effects of game service on user satisfaction. In addition, we tested the effects of a user's game service satisfaction on the user's loyalty toward the games with consideration of the user's content satisfaction and the gaming period. Results showed that there is a significant association between service satisfaction and user loyalty in the user's continual use of the games. Specifically, light users showed high loyalty with the increase of service satisfaction as they continue playing the games.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.496-509
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• 2020

This study analyzes 5-year efficiency of the game industry, from 2014 to 2018 which is aimed at 25 online and mobile game companies, that are emerging as a new growth engine of a national economy to come and as a core areas of late entertainment industry. The DEA is used for static efficiency analyze and the DEA-Window is used for dynamic efficiency analyze. This study uses assets, the number of employees and costs as input variables and it also uses operating profits and sales as output variables. The main results show that scale efficiency presents a resonable result over 0.85 on a total average except 2014. However, there has not been a year that is over 0.80 of the whole period in technical efficiency. Also, in terms of business scale, there is a huge efficiency gap between high rank companies and low rank companies and the average trend of efficiency has been increased from 2014 to 2016 but it has been decreased since 2017.

• Journal of Korea Game Society
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• v.17 no.3
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• pp.33-44
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• 2017

With the development of the Internet environment, various types of online reviews are being generated and exchanged among consumers to share their opinions. In line with this trend, companies are making efforts to analyze online reviews and use the results in various business activities such as marketing, sales, and product development. However, research on online review in industry related to 'Video Game' which is representative experience goods has not been performed enough. Therefore, this study analyzed STEAM community review data using machine learning techniques. We analyzed the factors affecting the opinion of other users' game review. We also propose managerial implications to incease user loyalty and usability.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1115-1122
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• 2015

In recent years, the use of game bots by illegal programs has been expanded from individual to group scale; this brings about serious problems in online game industry. The gold farmers group creates an in-game social community so-called "guild" to obtain a large amount of game money and manage game bots efficiently. Although game developers detect game bots by detection algorithms, the algorithms can detect only part of the gold farmers group. In this paper, we propose a detection method for the gold farmers group on a basis of normal and bot guilds characteristic analysis. In order to differentiate normal and bots guild, we analyze transaction patterns for individuals, auction house and chatting. With the analyzed results, we can detect game bot guilds. We demonstrate the feasibility of the proposed methods with real datasets from one of the popular online games named AION in Korea.