分析應用程式平台之隱私保護設定：硬體營收與廣告分潤;Analysis of Privacy Protection Decisions in Application Platforms:Hardware Revenue and Advertising Revenue Sharing

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题名:	分析應用程式平台之隱私保護設定：硬體營收與廣告分潤;Analysis of Privacy Protection Decisions in Application Platforms:Hardware Revenue and Advertising Revenue Sharing
作者:	陳思蓉;Chen, Si-Rong
贡献者:	資訊管理學系
关键词:	平台系統;隱私保護;賽局理論;platform;privacy protection;game theory
日期:	2023-06-30
上传时间:	2024-09-19 16:41:33 (UTC+8)
出版者:	國立中央大學
摘要:	隨著科技日益進步，使用手機的人越來越多，連帶著使用應用程式平台（如：Google Play和App Store）的使用者也隨之增加。對於使用者和應用程式開發商而言，平台是一個中介，應用程式開發商可以藉此向使用者提供服務，而使用者則可以獲得自己所需的服務，平台所有者因此從中獲利，並透過定價決策在兩者間取得平衡以最大化自己的利潤。在過去的學術研究中，多在探討平台所有者和廣告商、應用程式開發商三方的決策差異，並藉由利潤函數的分析最大化整個平台生態的總利潤。而近年因使用者個人隱私資料的保護意識興起，平台所有者需遵循各地規範給予應用程式限制，使其對使用者資料存取權限受到限制，藉此讓使用者的個人資料受到保護。本篇論文旨在利用經濟模型探討使用者資料被要求保護的背景下，平台所有者的最高利潤和最佳隱私保護決策，並藉由利潤函數分析不同因素對平台所有者最佳隱私保護決策所造成的影響。在研究中，發現當平台所有者同時作為手機品牌商且並沒有向應用程式開發商收取廣告收益分成時，為了獲得最高利潤他會將隱私設定得最嚴謹，這可以解釋Apple的App Store中的應用程式會主動詢問使用者是否允許自己的資料被存取，Google的Google Play卻不會主動詢問。有一個重要的發現是，當廣告收益分成超過一定比例時，平台所有者若沒有自己的手機品牌，為了獲得最佳利潤他會將重心放在吸引更多的平台使用者，而若平台所有者有自己的手機品牌，則會選擇吸引更多應用程式開發商和廣告商而非使用者。 ;With the advancing technology, the number of smartphone users is increasing, which in turn leads to a rise in users of application platforms such as Google Play and App Store. For users and app developers, these platforms serve as intermediaries where developers can provide services to users, who can, in turn, obtain the desired services. The platform profits from this arrangement and strives to find a balance between users and developers through pricing decisions to maximize their own profit. Previous academic research has primarily focused on studying the decision differences among platform, advertisers, and app developers, aiming to maximize the overall profit of the platform ecosystem through the analysis of profit functions. In recent years, due to the growing awareness of personal privacy, platform are required to adhere to regulations and impose restrictions on app developers, limiting their access to user data to ensure the protection of users′ personal information. This paper aims to utilize an economic model to explore the platform′s optimal profit and privacy protection decisions in the context of user data being required to be protected. The study also analyzes the impact of different factors on the platform′s optimal privacy protection decisions through the analysis of profit functions. The research reveals that when the platform owner simultaneously acts as a smartphone brand and does not charge app developers a share of the advertising revenue, they would set the privacy settings to be the most stringent in order to maximize profit. This can explain why applications in App Store proactively ask users for permission to access their data, while Google Play does not. An important finding is that when the revenue sharing exceeds a certain proportion, if the platform owner does not have their own smartphone brand, they would focus on attracting more platform users to maximize profit. However, if the platform owner has their own smartphone brand, they would choose to attract more app developers and advertisers rather than platform users.
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