DOI - Mendel University Press

DOI identifiers

DOI: 10.11118/978-80-7701-042-9-0113

EXTENDED DATA MONETIZATION FRAMEWORK FOR OPTIMAL STRATEGY SELECTION

Attila Szekeres1, Gabor Guta1, Szabolcs Marien1, Henriett Karolyi1
1 John von Neumann University, Doctoral School of Management and Business Administration, Budapest, Hungary

In conclusion, the extended framework presented in this paper offers a significant advancement in strategic planning for data monetization. By incorporating external and technical factors alongside organizational capabilities, the model enables a more nuanced and actionable understanding of how to extract value from data. It is particularly relevant in sectors where regulatory, infrastructural, or competitive constraints significantly shape business models. The framework supports companies of all sizes and levels of maturity in assessing their readiness and selecting strategies that align with their environment. As data continues to drive innovation and economic growth, such models will be essential tools in shaping sustainable and profitable data-driven enterprises.

Keywords: data monetization, startegy, digital economy, data asset

pages: 113-115, online: 2025



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