Gyeung-min Kim, & Heesun Kim. (2023). Lessons Learned from Institutionalization of ML (Machine Learning) Supported HR Services in the Existence of Multiple Institutional Logics. Asia Pacific Journal of Information Systems, 33, 1171-1187. https://doi.org/10.14329/apjis.2023.33.4.1171
ISO-690 (author-date, English)GYEUNG-MIN KIM und HEESUN KIM, 2023. Lessons Learned from Institutionalization of ML (Machine Learning) Supported HR Services in the Existence of Multiple Institutional Logics. Asia Pacific Journal of Information Systems. 31 Dezember 2023. Vol. 33, , p. 1171-1187. DOI 10.14329/apjis.2023.33.4.1171.
Modern Language Association 9th editionGyeung-min Kim, und Heesun Kim. „Lessons Learned from Institutionalization of ML (Machine Learning) Supported HR Services in the Existence of Multiple Institutional Logics“. Asia Pacific Journal of Information Systems, Bd. 33, Dezember 2023, S. 1171-87, https://doi.org/10.14329/apjis.2023.33.4.1171.
Mohr Siebeck - Recht (Deutsch - Österreich)Gyeung-min Kim/Heesun Kim: Lessons Learned from Institutionalization of ML (Machine Learning) Supported HR Services in the Existence of Multiple Institutional Logics, Asia Pacific Journal of Information Systems 2023, 1171-1187.
Emerald - HarvardGyeung-min Kim und Heesun Kim. (2023), „Lessons Learned from Institutionalization of ML (Machine Learning) Supported HR Services in the Existence of Multiple Institutional Logics“, Asia Pacific Journal of Information Systems, Vol. 33, S. 1171-1187.