Towards a paradigm shift: How can machine learning extend the boundaries of quantitative management scholarship?

Valizade, D orcid.org/0000-0003-3005-2277, Schulz, F and Nicoara, C (Accepted: 2022) Towards a paradigm shift: How can machine learning extend the boundaries of quantitative management scholarship? British Journal of Management. ISSN 1045-3172 (In Press)

Metadata

Authors/Creators:
Dates:
  • Accepted: 11 October 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Work and Employment Relation Division (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Oct 2022 09:37
Last Modified: 14 Oct 2022 09:37
Status: In Press
Publisher: Wiley

Downloads

Supplemental Material


Under temporary embargo

Filename: Online appendix_revisions_round_2.pdf

Request a copy

file not available

Accepted Version


Under temporary embargo

Filename: Thinking outside the black box_revisions_round2.pdf

Request a copy

file not available

Share / Export