Aaron Schecter

Aaron Schecter is an Associate Professor of Management Information Systems at the University of Georgia, Terry College of Business. Dr. Schecter received his undergraduate and masters degrees in Applied Mathematics and Statistics from Johns Hopkins University, and a PhD in Industrial Engineering and Management Science from Northwestern University. He has received several awards for his research and teaching, including the Hackman Dissertation award for group research, the Young Investigator award from the US Army Research Office, and a Lilly Teaching Fellowship at the University of Georgia.

Dr. Schecter’s work has been published in top outlets such as MIS Quarterly, Research Policy, and the Journal of Operations Management. His research has been supported by grants from the US Army and NASA. Dr. Schecter’s current research focus is on how technologies change the way people make decisions, solve problems, and coordinate with others. In particular, he is interested in human-machine interaction, machine learning and AI, open source software, and social networks.

• 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

• AI and Machine Learning
• Social networks
• Online collaboration

Journal Articles

• Sachin, P. K. & Schecter, A. (in press). Advice utilization in combined human-algorithm decision making: An analysis of preferences and behaviors. Journal of the Association for Information Systems.
• Lindberg, A., Schecter, A., Berente, N., Diegman, P., & Lyytinen, K. (2024). The entrainment of task allocation and release cycles in open source software development. MIS Quarterly, 48 (1), 67-94.
• Schecter, A., Hohenstein, J., Larson, L., Harris, A., Hou, T.Y., Lee, W.Y., Lauharatanahirun, N., DeChurch, L., Contractor, N. and Jung, M. (2023). Vero: An accessible method for studying human–AI teamwork. Computers in Human Behavior, 141, 107606.
• Bogert, E., Lauharatanahirun, N., & Schecter, A. (2022). Human preferences towards algorithmic advice in a word association task. Scientific Reports, 12, 14501.
• Schecter, A., Nohadani, O., & Contractor, N. (2022). A robust inference method for decision making in networks. MIS Quarterly, 46 (2), 713-738.
• Schecter, A., Wowak, K., Berente, N., Ye, H., & Mukherjee, U. (2021). A behavioral perspective on service center routing: The role of inertia. Journal of Operations Management, 67 (8), 964-988.
• Bogert, E., Schecter, A., & Watson, R. T. (2021). Humans rely on algorithms more than social influence as task difficulty increases. Scientific Reports, 11, 8028.
• Bogert, E., Schecter, A., & Watson, R. T. (2021). Preregistration of information systems research. Communications of the Association for Information Systems, 49 (5), 110-125.
• Schecter, A. & Quintane, E. (2021). The power, precision, and accuracy of the relational event model. Organizational Research Methods, 24 (4), 802-829.
• 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.

Book Chapters

• Pilny, A. & Schecter, A. (in press). Social networks. In Reimer, T., van Swol, L., & Florak, A. (Eds.) The Routledge Handbook of Communication and Social Cognition. Routledge/Taylor and Francis Publishing.
• Schecter, A. & Contractor, N. (2023). Relational event models. In McLevey, J., Scott, J., & Carrington, P. (Eds.) The Sage Handbook of Social Networks, 2nd Edition. Sage Publishing.
• Schecter, A. (2021). Interaction in group networks. In Beck, S.J., Keyton, J. and Poole, M.S. (Eds.) The Emerald Handbook of Group and Team Communication Research, 357-371. Emerald Publishing Limited, Bingley.
• Pendergraft, J., Carter, D., Trainer, H., Jones, J., Shuffler, M., DeChurch, L., Schecter, A., & Contractor, N. (2020). Supporting spaceflight multiteam systems throughout long-duration exploration missions: A countermeasure toolkit. In Landon, L., Slack, K., & Salas, R. (Eds.) Psychology and Human Performance in Space Programs: Research at the Frontier, 237-257. CRC Press.
• Schecter, A., Contractor, N. (2017). Understanding and assessing collaborative processes through relational events. In Zhu, M., Kyllonen, P., & von Davier, A. (Eds.) Innovative Assessment of Collaboration, 223 – 231. Springer International Publishing.