Alessandro Edoardo G. D. Di Mattia

• Di Mattia, Alessandro & Krumer, Alex (2023). Fewer teams, more games, larger attendance? : evidence from the structural change in basketball's EuroLeague. European Journal of Operational Research. ISSN 0377-2217. 309(1), p. 359–370. doi: 10.1016/j.ejor.2023.01.002. Show summary

  This study investigated whether an increased number of games between a reduced number of high-quality teams has a positive effect on stadium attendance. We did this by taking advantage of a recent structural change that occurred in basketball's EuroLeague tournament. Starting from the 2016/17 season, the two short round-robin tournaments (regular season and Top 16) among 24 teams merged into a longer round-robin tournament among 16 teams. In the new structure, the number of each team's games per season increased by more than 25 percent, which increased the aggregate attendance. In our empirical analyses, we investigated attendance per game by using data from the three seasons before and after the change. Comparing the attendance of the same teams that played before and after the change, our fixed effects estimation reveals a significant decrease of close to nine percent in attendance per game after the change compared to the Top 16 stage. We also found no significant difference in attendance after the change compared to the regular season before the change. Finally, we found that the main decrease in attendance after the change appears in the first half of the season, when the games are likely to be perceived as less decisive than in the second half of the season. Keywords: OR in sports, round-robin, attendance demand, basketball, time allocation

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• Batwa, Abbas & Di Mattia, Alessandro (2024). Blockchain adoption in the automotive industry supply chain : a Unified Theory of Acceptance and Use of Technology (UTAUT) perspective . Molde University College - Specialized University in Logistics. ISSN 978-82-7962-365-6. Show summary

  Purpose: Blockchain Technology (BCT) promises significant advancements in traceability, transparency, and process efficiency in supply chain management (SCM). Despite BCT's potential and the growing interest in the technology, theoretical exploration of BCT adoption in SCM remains limited, particularly in the automotive industry. This study aims to utilize the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore BCT adoption in the automotive industry’s supply chain. Methodology: This research uses an inductive qualitative approach with multiple case studies. It includes Semi-structured interviews with stakeholders in the automotive sector. The sample includes 15-20 participants who have applied or tested BCT projects, representing diverse BCT features and different supply chain perspectives. Findings: Expected findings suggest that specific BCT features, such as public versus private blockchains and their consensus mechanisms, significantly impact perceived ease of use and usefulness. These factors will likely influence BCT adoption decisions in the automotive industry’s SCM. Contributions: The study will benefit supply chain managers and decision-makers by helping them better understand key factors influencing BCT adoption, which can aid in developing strategies for successful implementation.

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