03350ntm a22005417i 4500 000701095 CZ-PrVSE 20230903173514.0 m d cr n|||||||||| 230903s2023 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Maher Soliman Awad, Ahmed ISIS:158059 dis Business model vybraného typu aplikací eng Business model of a selected type of applications / Ahmed Maher Soliman Awad 2023 ?? stran : digital, PDF soubor Vedoucí práce: František Sudzina Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2023 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2023 In the fast-paced and competitive mobile app market, selecting an effective monetization strategy is crucial for app developers seeking to achieve success. This study contributes to the existing research on mobile app monetization models by examining their impact on the likelihood of app success. By analyzing a diverse dataset of mobile apps across various categories, this research aims to provide valuable insights into the relationship between different monetization strategies (including in-app purchases, ads, paid, free, both free and paid options, freemium, and subscription) and the likelihood of achieving app success. Utilizing binary logistic regression and controlling for important variables such as user ratings, app category, and market competition, the analysis reveals nuanced associations between monetization models and app success. The findings challenge conventional assumptions and offer a fresh perspective on the complex dynamics of monetization within the mobile app market. This research fills a significant research gap and contributes to a better understanding of the factors that influence mobile app success, providing actionable insights for app developers, marketers, and industry professionals. Způsob přístupu: Internet information systems management [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Business models Monetization strategies Mobile applications Revenue generation Regression analysis App store optimization Sudzina, František ISIS:137922 ths Malec, Lukáš jx20110720024 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/78611/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/78611 Hlavní práce https://insis.vse.cz/zp/78611/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/78611/posudek/oponent/78270 Oponentura https://insis.vse.cz/zp/78611/priloha/26658 Přiloha k práci https://insis.vse.cz/zp/78611/podrobnosti dc:identifier NEPOSILAT VSKP vse78611 230829 78611