Analysis of the Contribution of the Development of Learning and Effectiveness Paradigm” to Multinational Corporations
- DOI
- 10.2991/assehr.k.211209.276How to use a DOI?
- Keywords
- Multinational companies; Learning-and-effectiveness paradigm; Discrimination-and-fairness paradigm; Access-and-legitimacy paradigm
- Abstract
This paper aims to fully epitomize the development of the learning-and-effectiveness paradigm, from two other diversity management ways: the discrimination-and-fairness paradigm and the access-and-legitimacy paradigm. The Learning-and-effectiveness paradigm embraces the assimilation and differentiation between the workforce at the same time, which undoubtedly contribute to modern diversity management. Then, the benefits these changes may bring to the multinational companies, which are the main groups of businesses that adopt diversity management. Throughout this whole transforming process, the limitations derived from the former two approaches account for the shifts to a certain extent. Thus, the paper attempts to elaborate on the weaknesses of the first two paradigms first before introducing the benefits of the learning-and-effectiveness paradigm on its own. Additionally, the precautions or steps for using this paradigm are also mentioned in the paper, which should be considered by MNCs. At last, this paper summarized the main benefits the learning-and-effectiveness can bring to MNCs with any potentials for further research.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Linyue Zhang PY - 2021 DA - 2021/12/15 TI - Analysis of the Contribution of the Development of Learning and Effectiveness Paradigm” to Multinational Corporations BT - Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021) PB - Atlantis Press SP - 1716 EP - 1721 SN - 2352-5428 UR - https://doi.org/10.2991/assehr.k.211209.276 DO - 10.2991/assehr.k.211209.276 ID - Zhang2021 ER -