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Aaron Schecter

Assistant Professor
Education:

PhD, Industrial Engineering and Management Science, Northwestern University, 2017

MS, Applied Mathematics and Statistics, Johns Hopkins University, 2012

BS, Applied Mathematics and Statistics, Johns Hopkins University, 2012

Research Interests and Areas of Expertise:
  • Social networks
  • AI and bots
  • Online collaboration
  • Research methods
Selected Publications:

Schecter, A., Wowak, K., Berente, N., Ye, H., & Mukherjee, U. (forthcoming). A behavioral perspective on service center routing: The role of inertia. Journal of Operations Management.

Schecter, A., Nohadani, O., & Contractor, N. (forthcoming). A robust inference method for decision making in networks. MIS Quarterly.

Bogert, E., Schecter, A., & Watson, R. T. (2021). Humans rely on algorithms more than social influence as task difficulty increases. Scientific Reports, 11 (1), 1-9.

Bogert, E., Schecter, A., & Watson, R. T. (forthcoming). Preregistration of information systems research. Communications of the Association for Information Systems.

Schecter, A. & Quintane, E. (forthcoming). The power, precision, and accuracy of the relational event model. Organizational Research Methods.

Brunswicker, S. & Schecter, A. (2019). Coherence or Flexibility? The Paradox of Change for Developers' Digital Innovation Trajectory on Open Platforms. Research Policy, 48 (8), 103771.

Hukal, P., Berente, N., Germonprez, M., & Schecter, A. (2019). Bots coordinating work in open source software projects. Computer, 52 (9), 52-60.

Schecter, A., Pilny, A., Leung, A., Poole, M. S., & Contractor, N. (2018). Step by step: Capturing the dynamics of work team process through relational event sequences. Journal of Organizational Behavior, 39 (9), 1163-1181.

Pilny, A., Schecter, A., Poole, M. S., Contractor, N. (2016). An illustration of the relational event model to analyze group interaction processes. Group Dynamics: Theory, Research, and Practice, 20 (3), 181-195.