The Machine Hums! Addressing Ontological and Normative Concerns Regarding Machine Learning Applications in Organizational Scholarship

Academy of Management ReviewIn-Press DialogueThe Machine Hums! Addressing Ontological and Normative Concerns Regarding Machine Learning Applications in Organizational ScholarshipKeith Leavitt, Kira Schabram, Prashanth Hariharan and Christopher M. BarnesKeith Leavitt() Oregon State University, Kira Schabram() University of Washington, Prashanth Hariharan() Indian School of Business and Christopher M. Barnes() University of WashingtonAccepted by Donald E. ConlonPublished Online:7 Dec 2023https://doi.org/10.5465/amr.2021.0166AboutSectionsView articleView Full TextPDF/EPUB ToolsDownload CitationsAdd to favoritesTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail View articleREFERENCESByington, E. K., & Felps, W. 2017. Solutions to the credibility crisis in management science. Academy of Management Learning & Education, 16: 142–162.Link , Google ScholarCampbell, D. T., & Fiske, D. W. 1959. Convergent and discriminant validation by the multitrait-multimethod matrix. 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