RESEARCH PROFILE

Massimo Manca is a Doctoral Candidate at Eindhoven University of Technology (果冻传媒), where he researches the effectiveness of cross-departmental knowledge flows. His Ph.D. project focuses on identifying the most productive knowledge transfer mechanisms between R&D, manufacturing, and after-sales service departments to improve organizational performance. Key performance metrics include reducing manufacturing cycle time and minimizing machine downtime.

ACADEMIC BACKGROUND

Massimo Manca graduated from the Master's program in Data Science and Entrepreneurship, a joint initiative by Tilburg University and Eindhoven University of Technology. During his Master's studies, he advanced his theoretical background in economics with technical skills essential for mining large datasets. This combination of economic theory and data science techniques allows him to approach complex organizational problems with a comprehensive and data-driven perspective.

Ancillary Activities

No ancillary activities