Faculty Research
Instance-level explanation algorithms SEDC, LIME, SHAP for behavioral and textual data: a counterfactual-oriented comparison
Y. Ramon, D. Martens, F. Provost, & T. Evgeniou.
Published online on 02 September 2020
Platform Competition: A Systematic and Interdisciplinary Review of the Literature
Joost Rietveld, Melissa A. Schiling
Published online on 27 November 2020
Platform Competition: A Systematic and Interdisciplinary Review of the Literature
Melissa A. Schilling , Joost Rietveld
Journal of Management. Published on November 27, 2020
Exploring Uncharted Territory: Knowledge Search Processes in the Origination of Outlier Innovation
Madeline K. Kneeland , Melissa A. Schilling , Barak S. Aharonson
Organization Science. Published online in Articles in Advance 01 Apr 2020
Deep Learning on Big, Sparse, Behavioral Data
De Cnuddes, Ramon Y, Martens D, Provost F
Big Data. 2019 Dec;7(4):286-307
Understanding Smart Contracts as a New Option in Transaction Cost Economics
Hanna Halaburda, Natalia Levina, and Semi Min
Proceedings of the 40th International Conference on Information Systems, Munich, Germany, December 2019
Unsupervised Dimensionality Reduction vs. Supervised Regularization for Classification from Sparse Data
Jessica Clark & Foster Provost
Data Mining and Knowledge Discovery (2019) 33:871–916.
A Benchmarking Study of Classification Techniques for Behavioral Data
Sofie De Cnudde, David Martens, Theodoros Evgeniou, & Foster Provost.
International Journal of Data Science and Analytics (2020) 9, 131–173.
Selecting an Open Innovation Community as an Alliance Partner: Looking for Healthy Communities and Ecosystems
Maha Shaikha and Natalia Levina
Research Policy (2019). 48(8)
Platform Strategy: Managing Ecosystem Value Through Selective Promotion of Complements
Joost Rietveld, Melissa A. Schilling, Cristiano Bellavitis
Organization Science (2019) 30(6), 1125-1393, C2
Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science
M. Cohen, C.D. Guetta, K. Jiao, F. Provost.
Big Data (2018) 6(3), 191-213.
Privacy, transparency and control for predictive analytics from massive fine-grained personal data.
D. Chen, S. Fraiberger, R. Moakler & F. Provost
Big Data (2017) 5(3): 197-212.
What’s your best innovation bet?
Schilling, MA
Harvard Business Review, July–August 2017 issue (pp.86–93)
‘Am I Still One of Them?’: Bicultural Immigrant Managers Navigating Social Identity Threats When Spanning Global Boundaries
Aimée A. Kane and Natalia Levina
Journal of Management Studies (2017) 54, 4: 540-577.
The Long-Tail Strategy for IT Outsourcing
Ning Su, Natalia Levina, and Jeanne W. Ross
MIT Sloan Management Review (2016)
Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics
Martens, D., F. Provost, J. Clark, E. Junqué de Fortuny.
MIS Quarterly, Vol. 40 No. 4, pp. 869-888/December 2016.
Technology shocks, technological collaboration, and innovation outcomes
.Schilling, MA
Organization Science (2015). 26:668-686.