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
Pages (from-to)	578-587
Journal	Journal of Operations Management
Volume	71
Issue number	5
DOIs	https://doi.org/10.1002/joom.1371
Publication status	Published - Jul 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",

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AU - Browning, Tyson R.

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AU - Shang, Guangzhi

AU - Thatcher, Jason

AU - Fransoo, Jan C.

AU - Holweg, Matthias

AU - Lawson, Benn

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