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Organizer: Harshvardhan Ketkar, U. of Michigan
Panelist: Prithwiraj Choudhury, Harvard U.
Panelist: Bo Cowgill, Columbia Business School
Panelist: Phanish Puranam, INSEAD
Panelist: Robert Channing Seamans, NYU Stern
Panelist: Florenta Teodoridis, California Southern U.
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| Recent advances in Artificial Intelligence (AI) and Machine Learning (ML) have led organizations to increasingly automate cognitive tasks such as decision making, knowledge search, and even in some cases, the production of new knowledge. The decision to automate certain activities is an important strategic consideration for organizations and firms as it could shape outcomes related to human capital management and consequently, their competitive advantage. It is only recently that this topic has attracted attention from academic researchers; thus, there are numerous opportunities in this area for making research contributions. Furthermore, within management research itself, the development of AI and ML methods have also introduced new methodological tools to management research, and some new studies are using these in innovative ways to contribute theoretical insights. The PDW aims to provide scholars with 1) an overview of recent work that looks at the role of AI and ML in shaping organizations and their outcomes, 2) an introduction to using AI and ML as empirical tools in research, and 3) an opportunity to develop new research ideas and network with scholars with associated research interests. |
| The structure of the workshop is as follows. In the first part, a panel of five distinguished scholars will provide an overview of research being done, methods used, and highlight further opportunities for research in this area. In the second part, participants will be assigned into five discussion groups at round tables to discuss various research ideas and methodologies. No registration is required for attending the entire session. Those wishing to participate in the idea discussion group roundtables must attend the entire session, and additionally, send a write-up (up to one page, font size 12, .pdf or .docx format) to aom.ai.pdw@gmail.com with the subject line “AOM 2019 PDW Proposal”. The write-up should consist of (but may not be limited to) the following: 1) a brief overview of a research question related to AI or ML; 2) possible theoretical lenses used, 3) preferred research methodology. The deadline for submitting the write-up is July 15, 2019. Selected participants will be sent a registration code by the end of July. |
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