Profile
Philipp Cornelius (CV) is an Associate Professor of Technology and Operations Management at the Rotterdam School of Management. He holds a PhD in Management Science & Innovation from the UCL School of Management, University College London, and a BSc in Information Systems from the University of Mannheim, Germany. Philipp’s research interests are in new product development, innovation management, and crowd-driven innovation. He investigates related questions in large-sample econometric studies using original data from organisations and innovation platforms.
Publications
Article (3)
Academic (3)
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Cornelius, P., Gokpinar, B., & Sting, F. (2021). Sparking Manufacturing Innovation: How Temporary Interplant Assignments Increase Employee Idea Values. Management Science, 67(4), 2231-2250. https://doi.org/10.1287/mnsc.2020.3673
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CORNELIUS, PHILIPP. B., GOKPINAR, BILAL., & STING, FABIAN. J. (2021). How temporary assignments boost innovation: When front-line manufacturing employees are exchanged between company sites, they contribute more valuable ideas. MIT Sloan Management Review, 62(3), 9-11. https://sloanreview.mit.edu/article/how-temporary-assignments-boost-innovation/
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Cornelius, P., & Gokpinar, B. (2020). The Role of Customer Investor Involvement in Crowdfunding Success. Management Science, 66(1). https://doi.org/10.1287/mnsc.2018.3211
Courses
Advanced Statistics & Programming
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: BM01BAM
- Level: Master
Management Science
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: BM04BAM
- Level: Master
BIM Research Methods
- Study year: 2023/2024, 2022/2023
- Code: BM06BIM
- Level: Master
Business Analytics Applications with Python
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: BM23BAM
- Level: Master
Introduction to Data Science with Python
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018
- Code: BMME128
- Level: Master, Master, Master, Master
BIM Master Thesis
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
- Code: BMMTBIM
- Level: Master
BIM Thesis Clinic
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMRM1BIM
- Level: Master
Past courses
Innovation in the Digital Age
- Study year: 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018
- Code: BMME119
- Level: Master, Master, Master, Master
Machine Learning & Learning Algorithms
- Study year: 2022/2023, 2021/2022
- Code: BM05BAM
- Level: Master
Business Analytics Applications with Python - Extra assignment
- Study year: 2021/2022
- Code: BM23BAME
- Level: Master
Information Strategy
- Study year: 2020/2021
- Code: BM01BIM
- ECTS: 5 Level: ERIM, Exchange, IM/CEMS, Master
BIM Research Methods I - Old style
- Study year: 2019/2020, 2018/2019
- Code: BM05BIM
- ECTS: 2
Featured in the media
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Moving front-line staff between company locations might be key to boosting innovation
Temporary moves boost creativity according to new research from the RSM, Erasmus University. The study suggests, when front-line employees are exchanged between company sites, they contribute more valuable ideas. Philipp B.…
Wednesday, 17 March 2021 -
MOVE WORKERS AROUND TO INCREASE CREATIVITY, SAYS RESEARCH
Temporary moves boost creativity according to new research from the RSM, Erasmus University. The study suggests, when front-line employees are exchanged between company sites, they contribute more valuable ideas. Philipp B.…
Tuesday, 16 March 2021 -
Innovatie een boost geven? Wissel personeel uit
Not only research & development departments ensure innovation within a company. Good innovative ideas often also come from the rest of the staff. It is not without reason that all employees are now expected to do more than perform…
Monday, 15 March 2021 -
Consider crowdfunding to benefit from customer investor insight, says research
Entrepreneurs and start-up businesses across sectors have been urged to consider crowdfunding websites to fund their new companies, rather than just relying on traditional investors or venture capitalists. Philipp Cornelius,…
Wednesday, 17 October 2018
Featured on RSM Discovery
Helping managers understand the benefits of data analytics, big data, the Internet of Things, and artificial intelligence.
