Premium
Innovative data analytic methods in human resource development: Recommendations for research design
Author(s) -
Yoon Seung Won
Publication year - 2018
Publication title -
human resource development quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 65
eISSN - 1532-1096
pISSN - 1044-8004
DOI - 10.1002/hrdq.21331
Subject(s) - citation , resource (disambiguation) , library science , computer science , world wide web , computer network