Dr Rodrigo Belo

Profile
Rodrigo Belo is Associate Professor at the Department of Technology and Operations Management at Rotterdam School of Management of the Erasmus University.
Rodrigo's research focuses on the effects of information systems on organizations and on the impacts of social network structures and peer influence on consumer behavior. His work has been published in top journal and peer-reviewed conferences such as Management Science, Marketing Science, and MIS Quarterly. Rodrigo has lead and collaborated in multiple projects with established firms and startups in the online and telecommunications sectors. His engagements include the design and deployment of large-scale real world randomized experiments to assess the effectiveness of marketing campaigns and to optimize online user engagement.
Rodrigo holds a PhD in Technological Change and Entrepreneurship from Carnegie Mellon University, an MSc in Engineering and Public Policy from Carnegie Mellon University, and a BSc in Computer Science and Engineering from Instituto Superior Técnico, University of Lisbon. Before joining the academia Rodrigo worked as a software engineer and analyst in the transportation and government sectors.
Professional experience
Associate Professor
Erasmus University Rotterdam
RSM - Rotterdam School of Management
Department of Technology and Operations Management
Publications
Key Publications (6)
- X. Zhang, P.M. Ferreira, M. Godinho de Matos & R. Belo (2021). Welfare Properties of Recommender Systems: Theory and Results from a Randomized Experiment (forthcoming). MIS Quarterly.
- R. Belo & P.M. Ferreira (2021). Free Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network (forthcoming). MIS Quarterly.
- R. Belo, M. Godinho de Matos, P.M. Ferreira & F. Reis (2019). The Impact of Time Shifting on TV Consumption and Ad Viewership. Management Science, 65 (7), 2947-3448. doi: 10.1287/mnsc.2018.3084 [go to publisher's site]
- M. Godinho de Matos, P.M. Ferreira & R. Belo (2018). Target the ego or target the group: Evidence from a randomized experiment in proactive churn management. Marketing Science, 37 (5), 793-811. doi: 10.1287/mksc.2018.1099
- R. Belo, P.M. Ferreira & R. Telang (2016). Spillovers from Wiring Schools with Broadband: the Critical Role of Children. Management Science, 62 (12), 3450-3471. doi: 10.1287/mnsc.2015.2324
- R. Belo, P.M. Ferreira & R. Telang (2014). Broadband in School: Impact on Student Performance. Management Science, 60 (2), 265-282. doi: 10.1287/mnsc.2013.1770
Professional Publications
- R. Belo (2016). The critical role of children and schools in internet adoption. RSM Discovery - Management Knowledge, 27 (3), 20-22.
Scholarly Publications (6)
- X. Zhang, P.M. Ferreira, M. Godinho de Matos & R. Belo (2021). Welfare Properties of Recommender Systems: Theory and Results from a Randomized Experiment (forthcoming). MIS Quarterly.
- R. Belo & P.M. Ferreira (2021). Free Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network (forthcoming). MIS Quarterly.
- R. Belo, M. Godinho de Matos, P.M. Ferreira & F. Reis (2019). The Impact of Time Shifting on TV Consumption and Ad Viewership. Management Science, 65 (7), 2947-3448. doi: 10.1287/mnsc.2018.3084 [go to publisher's site]
- M. Godinho de Matos, P.M. Ferreira & R. Belo (2018). Target the ego or target the group: Evidence from a randomized experiment in proactive churn management. Marketing Science, 37 (5), 793-811. doi: 10.1287/mksc.2018.1099
- R. Belo, P.M. Ferreira & R. Telang (2016). Spillovers from Wiring Schools with Broadband: the Critical Role of Children. Management Science, 62 (12), 3450-3471. doi: 10.1287/mnsc.2015.2324
- R. Belo, P.M. Ferreira & R. Telang (2014). Broadband in School: Impact on Student Performance. Management Science, 60 (2), 265-282. doi: 10.1287/mnsc.2013.1770
Work in Progress (4)
- Y. Ghiassi-Farrokhfal, R. Belo, M.R. Hesamzadeh & D. Bunn (2021). The Emerging Market Power of Renewables Mitigated with Optimal Pricing (2nd round revision in Operations Research).
- T. Frick, R. Telang & R. Belo (2021). Pay For What You Get - Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment (3rd round journal review).
- Z. Cao & R. Belo (2020). Evasive or Candid? How Explicit Sponsorship Disclosure Affects User Engagement on Social Media.
- R. Belo & Ting Li (2020). Referral Programs for Freemium Platforms: Evidence from a Randomized Field Experiment (3rd round journal review). [go to publisher's site]
Media
Discovery items
Issue 37: devoted to understand the benefits of data analytics in an age where big data have become woven into the very fabric of our lives.
Introducing technology to schoolchildren helps to get it adopted by their parents and neighbouring households. Research by Rodrigo Belo.
Courses
IM Research clinic
- Study year: 2020/2021
- Code: BM-IM-RC
- Level: Master
IM Research clinic
- Study year: 2020/2021, 2019/2020
- Code: BM-IMRC
- Level: Master
Big Data Management and Analytics
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BM04BIM
- ECTS: 5 Level: ERIM, Exchange, IM/CEMS, Master
Machine Learning & Learning Algorithms
- Study year: 2020/2021
- Code: BM05BAM
- ECTS: 4 Level: Master
Network Analytics
- Study year: 2020/2021
- Code: BM13BAM
- ECTS: 6 Level: Master
Network Data Analytics
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BMME014
- ECTS: 6 Level: Master, Master, Master, Master
BIM Master Thesis
- Study year: 2020/2021, 2019/2020, 2018/2019
- Code: BMMTBIM
- ECTS: 16 Level: Master
BIM Thesis Clinic
- Study year: 2020/2021, 2019/2020
- Code: BMRM1BIM
- ECTS: 2 Level: Master
Past courses
BIM Research Methods I - Old style
- Study year: 2019/2020, 2018/2019
- Code: BM05BIM
- ECTS: 2
BIM Research Methods II - Old style
- Study year: 2019/2020, 2018/2019
- Code: BMRMBIM
- ECTS: 4
BIM Honours Course
- Study year: 2015/2016
- Code: BMHONBIM
- ECTS: 10 Level: Master
RSM Discovery magazine 37 – out now!

Issue 37: devoted to understand the benefits of data analytics in an age where big data have become woven into the very fabric of our lives.
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