• Journal of Korea Game Society
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• v.18 no.6
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• pp.121-130
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• 2018

Game users purchase contents in order to enjoy games, which is the case as for minors. The most frequently used payment method for minors' purchasing game contents is many kinds of gift certificates. Other payment methods include adding the payment to their cellular phone bills and charging it to their parents' credit cards. Although such payment methods are easily used due to convenience, consequent disputes are also continuously increasing. Both users and game service providers suffer damage due to the disputes related to game payments by minors and, in some cases, such problem also becomes a social issue. The purpose of this study is to present data for the standardization of refund policy (system) for payments made by minors by investigating and analyzing the laws and institutions related to game payments by minors and examining relevant dispute cases, in order to prevent and solve such disputes efficiently.

• Review of KIISC
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• v.26 no.3
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• pp.38-44
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• 2016

소액결제에 대한 규제 완화로 이와 관련한 사기가 급증하고 있으며, 특히 소액결제가 대부분을 차지하는 온라인게임 산업은 관련 사기로 인한 피해가 증가하고 있다. 온라인 게임의 소액결제 사기는 단순히 금액에 대한 피해뿐만이 아니라 회사 브랜드에도 영향을 미치며, 나아가 고객 이탈로 이어질 수 있다. 소액결제 사기를 방지하기 위해 게임 산업에서도 이상거래 탐지 시스템이 요구되고 있다. 본 연구는 게임 사용자의 결제 패턴을 분석하여 이상거래를 탐지할 수 있는 머신러닝 기반의 이상거래 탐지 모델을 제시하며, 제안하는 모델을 글로벌 온라인 게임에 적용한 사례를 소개한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.87-88
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• 2018

본 연구는 부분유료온라인 게임에서 유저의 게임 이용 기간과 처음 결제 시기간의 상관관계의 검증을 통해 점차 중요도가 높아지고 있는 게임 이용 기간에 대한 요소로서 처음 결제 시기가 적절한지를 알아보았다. 게임 이용 기간과 처음 결제 시기의 상관관계를 검증하기 위해 설문으로 데이터를 수집하고, 회귀분석을 실행하였고 처음 결제 시기가 게임 이용 기간에 양적인 방향으로 영향을 끼치는 요소임을 확인하였다.

• Digital Contents
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• no.8 s.123
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• pp.122-129
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• 2003

지난 6월 24일 수원에서 초등학교 5학년생인 K양(11)의 자살사건은 게임아이템 구입비용에 대한 부모님의 꾸지람 때문인 것으로 밝혀지면서 업계에 큰 파문이 일었다.이에 업계는 대책마련에 부심하며 나름대로 예방책을 내놓았다. 게임포탈 한게임은 최근 ID당 결제액을 한 달에 5만원이 넘지 못하도록 조치했으며, 온라인 게임업체인 넥슨도 부모들의 항의가 늘어나면서 전화번호당 결제액을 7만원으로 축소했다.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.55-66
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• 2021

The mobile application (APP) market is growing at an unprecedented speed. Amid such growth, the global platform providers are mandating exclusive in-app payments and charging 30% for platform commission fees. A serious tension has arisen between mobile global platform providers and local content providers. The present study attempts to analyze the domestic mobile game market and in-app payment commission fees. This study estimates the size of the domestic mobile game market and platform commission fees by directly using publicly available financial statements and footnote information of some representative listed mobile game firms. Also, the study analyzes the cost structures of the same sample firms and attempts to draw some implications on sustainable growths of the mobile game ecosystem. We estimated that, in 2019, the domestic mobile game market is around 4.9 trillion Won and the ensuing in-app payment commission fees market was 1.5 trillion Won. High market share firms display a proportional increase in in-app payment commission fees in relation to sales growth. This, in turn, makes the in-app payment commission fees a primary cost item far exceeding employee salaries and R&D expenses. During the same period, low market share firms generated a mere profit or experienced net loss. Analysis of the cost structure reveals that these firms are even more liable to higher in-app payment commission fee cost structure than high market share. Most constituents of the mobile game ecosystem are small business entrepreneurs. By employing a micro-level analysis, the study estimates that, in 2019, a representative median firm generates 530 million Won in sales. At the same time, it spends 190 million Won in employee salaries, 50 Won million in R&D and 190 million Won in in-app payment commission fees, respectively. In the absence of other cost items, these three cost items alone account for 73.8% of sales revenue. The results imply that a sustainable growth of the local mobile game market heavily depends upon the cost structure of such representative median firm, the in-app payment commission fees being the primary cost item of such firm.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.163-171
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• 2020

Currently, most of the mobile game market releases games through Google play and App Store, which have a high share. Because it uses a third-party platform, only the payment API system provided must be used, and third-party platform pays the game company after excluding certain fees. Because game companies do not know whether or not to refund items and cannot get back items through third party transactions, users and professional websites are continuously appearing that exploit refunds. In this thesis, after analyzing problems of existing payment method and presenting a payment model using blockchain smart contract, we analyzed differences from existing model in terms of transparency, decentralization(fee), efficiency, and as a result, payment model using smart contract has low commission through P2P transaction without third parties and transparent transaction record, preventing item forgery and refund. Later, the proposed payment model would lead to the culling of companies acting on behalf of refunds for words that deviate from moral ethics such as "Refund OK even with items" and resolve the problem of unreasonable fees that arise through third-party platforms.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.93-105
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• 2019

This study want to identify problems related to mobile in-app payment from the perspective of consumers and suggest ways to solve them. Three scenarios have been developed to achieve the objectives of this study. This suggests the situation of in-app payment problem that consumers often experience. Then 323 consumers in their 20s and 30s read the scenario, identified the problem in each situation and assessed who was responsible. Consumers were aware of in-app payment problems due to problems with in-app payment readability, problems with app market responsibility, problems with responsibility of game companies, and problems of consumer responsibility. And different consumers had different levels of assessment on the problem of in-app payment. According to the research, consumers have high demand for improvement of the lack of readability in related laws, including strengthening the readability of the in-app payment indicator. In addition, the company confirmed the importance of cooperative efforts by consumers, businesses, and the government due to high consumer expectations for the role of the distribution company App Market other than the content developer game company.

• 한국게임학회지
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• v.4 no.1
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• pp.12-15
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• 2007

• Journal of Korea Game Society
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• v.18 no.3
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• pp.27-38
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• 2018

This paper is designed to propose the contents necessary for updating and developing future mobile RPG game developers through a usability evaluation of Users using In-App Payment Services at Lineage M. This paper conducted a usability assessment for quantitative assessment of users who use in-app payment services for mobile game 'Lineage M'. The tool for usability assessment was surveyed in a questionnaire designed based on 'The User Experience Honeycomb' defined by Peter Morville. These statistical results were then divided into lateral analyses. Through this, it is expected that game developers and planners will be able to find data to help develop new mobile RPG games.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.25-38
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• 2022

With the diversification of payment methods and games, related financial accidents are causing serious problems for users and game companies. Recently, game companies have introduced an Fraud Detection System (FDS) for game payment systems to prevent financial incident. However, FDS is ineffective and cannot provide major evidence based on judgment results, as it requires constant change of detection patterns. In this paper, we analyze abnormal transactions among payment log data of real game companies to generate related features. One of the unsupervised learning models, Autoencoder, was used to build a model to detect abnormal transactions, which resulted in over 85% accuracy. Using X-FDS (Explainable FDS) with XAI-SHAP, we could understand that the variables with the highest explanation for anomaly detection were the amount of transaction, transaction medium, and the age of users. Based on X-FDS, we derive an improved detection model with an accuracy of 94% was finally derived by fine-tuning the importance of features that adversely affect the proposed model.