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Data-driven Analysis of Project Portfolio Dimensions in the Video Game Industry

Student: Fedorov Maksim

Supervisor: Elena Serova

Faculty: St.Petersburg School of Economics and Management

Educational Programme: Management (Bachelor)

Year of Graduation: 2020

Each gaming company has a portfolio of games it produces and supports. This research aims to answer the question: how the project portfolio of a video game company is associated with its financial results. This study examines how the project portfolio dimensions affect the financial performance of a video game company. As for the methodology, three multiple linear regression models, measuring company’s operating profit, the sustainability index (operating profit divided by the annual standard deviation of stock price) and share price variance are applied on 27 game features: platforms, ratings, minutes to complete, etc. The researchers found both hypotheses to be partially true. Portfolio dimensions such as genres, platforms families and platform types, aggregate projects’ scale, series installment indicator, gameplay modes, number of unique genres and number of unique platforms show statistically significant association with at least one of three dependent variables. Limitations of the study include convenience sampling, partial measure of risk and subjective metrics of project execution quality. Finally, as there are no existing project portfolio studies for the video game industry, this unprecedented research becomes a foundation for future research as it contributes to improving managers decisions regarding the games a company should have in its product portfolio.

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