Faculty Research

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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

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Melissa Schilling Paper in Journal of Management

Platform Competition: A Systematic and Interdisciplinary Review of the Literature

Melissa A. Schilling , Joost Rietveld
Journal of Management. Published on November 27, 2020

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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

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Deep Learning on Big, Sparse, Behavioral Data

De Cnuddes, Ramon Y, Martens D, Provost F
Big Data. 2019 Dec;7(4):286-307

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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

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Unsupervised Dimensionality Reduction vs. Supervised Regularization for Classification from Sparse Data

Jessica Clark & Foster Provost
Data Mining and Knowledge Discovery (2019) 33:871–916.

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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.

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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)

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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

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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.

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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.

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Innovation Conference

What’s your best innovation bet?

Schilling, MA 
Harvard Business Review, July–August 2017 issue (pp.86–93)

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‘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.

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The Long-Tail Strategy for IT Outsourcing

Ning Su, Natalia Levina, and Jeanne W. Ross
MIT Sloan Management Review (2016)

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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.


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Technology shocks, technological collaboration, and innovation outcomes

.Schilling, MA
Organization Science (2015). 26:668-686.

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