Understanding videogames success: a data-driven study on the platform Steam

Sittinieri, Francesco Angelo (A.A. 2024/2025) Understanding videogames success: a data-driven study on the platform Steam. Tesi di Laurea in Statistics for marketing, Luiss Guido Carli, relatore Francesco Salate Santone, pp. 144. [Master's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (2MB) | Preview

Abstract/Index

Literature review. Digital distribution and the transformation of the video game industry. Platforms and ecosystems in the video game industry. Steam as a digital platform and data-rich environment. Consumer behaviour, discoverability and recommendation on Steam. Predicting game popularity and machine learning approaches. Critical synthesis and research gap. Dataset description and methodology. Dataset overview. Data quality assessment and missing values. Data type standardization and feature engineering. Clustering analysis. Clustering motivations. Variable selection. Cluster selection. Clusters interpretation. Clusters takeaways. Random forest and SHAP. Random forest’s method. Model training and configuration. Model performance and validation. Global variable importance. SHAP analysis: motivation and methodological framework. SHAP procedure. Shap interpretation. Extension of the analysis to all seven clusters. Multi-observation SHAP to all seven clusters. Embeddings. TF-IDF. Sentence-BERT. T-SNE visualization. Managerial implications. Managerial implications for platform stakeholders. Implications of consumer profiles for strategic decision-making. Managerial insights from textual analysis. Implications for platform governance and discoverability.

References

Bibliografia: pp. 71-72.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Marketing (LM-77)
Chair: Statistics for marketing
Thesis Supervisor: Salate Santone, Francesco
Thesis Co-Supervisor: De Mauro, Andrea
Academic Year: 2024/2025
Session: Extraordinary
Deposited by: Alessandro Perfetti
Date Deposited: 02 Jul 2026 10:32
Last Modified: 02 Jul 2026 10:32
URI: https://tesi.luiss.it/id/eprint/46309

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item