Empirical study of the innovation performance of Hungarian application developers
DOI:
https://doi.org/10.14267/VEZTUD.2025.10.01Keywords:
app economy, mobile application, innovation, platform strategy, business model, HungaryAbstract
The mobile application market is rapidly evolving, yet empirical insights into developer performance in smaller markets remain scarce. This study presents the first comprehensive analysis of the Hungarian app economy, examining 3,047 applications from 579 developers between 2015 and 2023. The authors’ dataset, covering both iOS and Android platforms, enables a holistic view of sector trends. Using cluster analysis and log-linear regression, the authors identify key success factors and revenue determinants. While Hungarian developers hold a modest global market share (Android: 0.052%, iOS: 0.013%), they excel in specific categories such as Education and Games & Entertainment. Developers employing hybrid business models and cross-platform strategies achieve significantly higher revenues. The authors identify three ecosystem clusters: beginners (56.7%), mid-field (41.9%), and star developers (1.4%). Their findings deepen the understanding of app economy dynamics and offer practical insights for developers and policymakers.Downloads
References
Basole, R.C., & Karla, J. (2011). On the evolution of mobile platform ecosystem structure and strategy. Business and Information Systems Engineering, 3(5), 313–322. https://doi.org/10.1007/s12599-011-0174-4
Binns, R., Lyngs, U., Van Kleek, M., Zhao, J., Libert, T., & Shadbolt N. (2018). Third Party Tracking in the Mobile Ecosystem. In Proceedings of the 10th ACM Conference on Web Science (WebSci ‚18) (pp. 23-31). Association for Computing Machinery. https://doi.org/10.1145/3201064.3201089
Biørn-Hansen, A., Rieger, C., Grønli, T.M., Majchrzak, T.A., & Ghinea, G. (2020). An empirical investigation of performance overhead in cross-platform mobile development frameworks. Empirical Software Engineering, 25(4), 2997–3040. https://doi.org/10.1007/s10664-020-09827-6
Christensen C.M., Raynor, M.E., McDonald, R. (2015). One more time: What is disruptive innovation? Harvard Business Review, Dec, 44- 53. https://hbr.org/2015/12/what-is-disruptive-innovation
Comino, S., Manenti, F.M., & Mariuzzo, F. (2019). Updates management in mobile applications: iTunes versus Google Play. Journal of Economics & Management Strategy, 28(3), 392–419. https://doi.org/10.1111/jems.12288
Czigler, E., & Gaál, A. (2023). Appgazdaság: a mobilapplikációs ökoszisztéma vizsgálata. Külgazdaság, 67(5- 6), 61-85. https://doi.org/10.47630/KULG.2023.67.5-6.61
Deng, Y., Lambrecht, A., & Yongdong, L. (2022). Spillover Effects and Freemium Strategy in the Mobile App Market. Management Science, 69(9), 5018-5041. http://dx.doi.org/10.2139/ssrn.3149550
Duarte, R., & Picoto, W. (2016). Applying configurational theory to understand mobile app success. https://aisel.aisnet.org/ecis2016_rp/54
Ebrahimi, F., Tushev, M., & Mahmoud, A. (2021). Classifying Mobile Applications Using Word Embeddings. ACM Transactions on Software Engineering and Methodology, 31(2), 20:1-20:30. https://doi.org/10.1145/3474827
Edison, H., Ali, N.B., & Torkar, R. (2013). Towards innovation measurement in the software industry. Journal of Systems and Software, 86(5), 1390–1407. https://doi.org/10.1016/j.jss.2013.01.013
Gerpott, T.J., & Berends, J. (2022). Competitive pricing on online markets: A literature review. Journal of Revenue and Pricing Management, 21(6), 596–622. https://doi.org/10.1057/s41272-022-00390-x
Gokgoz, A., Ataman, M.B., & van Bruggen, G.H. (2021). There’s an app for that! understanding the drivers of mobile application downloads. Journal of Business Research, 123, 423–437. https://doi.org/10.1016/j.jbusres.2020.10.006
Huszák, L., Szitáné Kazai, Á., & Andó, M. (2022). IT- és műszaki tudományok a hazai innováció élvonalában: A vállalatok kutatás-fejlesztési tevékenységének minősítése 2012-2021 között és a minősítés elmulasztásának veszélyei. Vezetéstudomány, 53(10), 41–55. https://doi.org/10.14267/VEZTUD.2022.10.04
IVSZ. (2019). A digitális gazdaság súlya 2019. Informatikai, Távközlési és Elektronikai Vállalkozások Szövetsége. https://ivsz.hu/a-digitalis-gazdasag-sulya-2019/
Jošt, G., Huber, J., & Heričko, M. (2013). Using object oriented software metrics for mobile application development. In Z. Budimac (Ed.), Proceedings of the 2nd Workshop of Software Quality Analysis, Monitoring, Improvement, and Applications (SQAMIA) (pp. 3:17- 3:27). https://scispace.com/pdf/using-object-oriented-software-metrics-for-mobile-3x03hw7j5s.pdf
Kaushik, N., & Gokpinar, B. (2021). Sequential innovation in mobile app development. Working paper. Indian Institute of Management Bangalore & UCL School of Management. https://discovery.ucl.ac.uk/10159146/1/Updated%2520Main%2520paper.pdf
KSH. (2023). Magyarország, 2022. Központi Statisztikai Hivatal.
Libert, B., Beck, M., & Wind, J. (2016). The Network Imperative: How to Survive and Grow in the Age of Digital Business Models. Harvard Business Review Press.
Lim, S.L., Bentley, P.J., Kanakam, N., Ishikawa, F., & Honiden, S. (2015). Investigating country differences in mobile app user behavior and challenges for software engineering. IEEE Transactions on Software Engineering, 41(1), 40–64. https://doi.org/10.1109/TSE.2014.2360674
Mcilroy, S., Shang, W., Ali, N., & Hassan, A.E. (2017). User reviews of top mobile apps in Apple and Google App Stores. Communications of the ACM, 60, 62–67. https://doi.org/10.1145/3141771
MNB. (2023). Növekedési jelentés 2023. Magyar Nemzeti Bank.
Nelson, R. (2016). 94% of U.S. App Store Revenue Comes From the Top 1% of Monetizing Publishers. Sensor Tower: https://sensortower.com/blog/app-store-onepercent
Numminen, E., Sällberg, H., & Wang, S. (2022). The impact of app revenue model choices for app revenues: A study of apps since their initial App Store launch. Economic Analysis and Policy, 76, 325–336. https://doi.org/10.1016/j.eap.2022.08.010
Picoto, W.N., Duarte, R., & Pinto, I. (2019). Uncovering top-ranking factors for mobile apps through a multimethod approach. Journal of Business Research, 101, 668–674. https://doi.org/10.1016/j.jbusres.2019.01.038
Pisano, G. (2015). You need an innovation strategy. Harvard Business Review, June, 44-54. https://hbr.org/2015/06/you-need-an-innovation-strategy
Roma, P., & Ragaglia, D. (2016). Revenue models, in-app purchase, and the app performance: Evidence from Apple’s App Store and Google Play. Electronic Commerce Research and Applications, 17, 173–190. https://doi.org/10.1016/j.elerap.2016.04.007
Roma, P., & Vasi, M. (2019). Diversification and performance in the mobile app market: The role of the platform ecosystem. Technological Forecasting and Social Change, 147, 123–139. https://doi.org/10.1016/j.techfore.2019.07.003
Turner, A. (2025). How Many Apps are There in the World. BankMyCell. https://www.bankmycell.com/blog/number-of-mobile-apps-worldwide
Yang, A.Z.H., Hassan, S., Zou, Y., & Hassan, A.E. (2022). An empirical study on release notes patterns of popular apps in the Google Play Store. Empirical Software Engineering, 27(2), 55. https://doi.org/10.1007/s10664-021-10086-2
Zeng, M. (2018). Alibaba and the Future of Business. Harvard Business Review, Sept-Oct, 88-96. https://hbr.org/2018/09/alibaba-and-the-future-of-business
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