Generative AI and Empirical Research Methods in Operations Management

Timofey Shalpegin; Tyson R. Browning; Ajay Kumar; Guangzhi Shang; Jason Thatcher; Jan C. Fransoo; Matthias Holweg; Benn Lawson

doi:10.1002/joom.1371

Generative AI and Empirical Research Methods in Operations Management

Timofey Shalpegin, Tyson R. Browning, Ajay Kumar^*, Guangzhi Shang, Jason Thatcher, Jan C. Fransoo, Matthias Holweg, Benn Lawson

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

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Original language	English
Journal	Journal of Operations Management
DOIs	https://doi.org/10.1002/joom.1371
Publication status	E-pub ahead of print - 6 May 2025

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10.1002/joom.1371

Shalpegin et al (2025)--JOM Forum - GenAI in OM Research compiled w responses _FAVAccepted author manuscript, 268 KB

Cite this

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title = "Generative AI and Empirical Research Methods in Operations Management",

author = "Timofey Shalpegin and Browning, {Tyson R.} and Ajay Kumar and Guangzhi Shang and Jason Thatcher and Fransoo, {Jan C.} and Matthias Holweg and Benn Lawson",

year = "2025",

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language = "English",

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publisher = "John Wiley & Sons Inc.",

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AU - Shalpegin, Timofey

AU - Browning, Tyson R.

AU - Kumar, Ajay

AU - Shang, Guangzhi

AU - Thatcher, Jason

AU - Fransoo, Jan C.

AU - Holweg, Matthias

AU - Lawson, Benn

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DO - 10.1002/joom.1371

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JO - Journal of Operations Management

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