Moeller, M, Maley, J, Harvey, M and Dabić, M ORCID: https://orcid.org/0000-0001-8374-9719, 2016. People management and innovation in emerging market multinationals. Journal of Management Development, 35 (4), pp. 530-548. ISSN 0262-1711
Preview |
Text
7343_Dabic.pdf - Pre-print Download (477kB) | Preview |
Abstract
As the internationalization process dictates the existence of cross-country networks it is essential to explore avenues that allow emerging market multinationals (EMNCs) to share and receive knowledge that can benefit them locally and globally. In this manuscript we explore this conundrum by addressing the significance of creating a global mindset in individuals and across the MNC. In the manuscript we articulate the mechanisms that influence global managers’ abilities to engage effectively with other global managers across borders. We argued that global managers engage in reciprocal learning processes to obtain new, innovative knowledge about other countries’ environments and business practices. We furthermore suggest that the effectiveness of new knowledge creation is dependent upon the appropriate input, throughput, and output competencies of those involved in the reciprocal learning process. Proper people management plays a crucial role in fostering an environment where employees’ commitment will lead to organisational innovation. Propositions foreshadowing in the new, innovative knowledge creation process across cultural and personal levels are articulated.
Item Type: | Journal article |
---|---|
Publication Title: | Journal of Management Development |
Creators: | Moeller, M., Maley, J., Harvey, M. and Dabić, M. |
Publisher: | Emerald |
Date: | 2016 |
Volume: | 35 |
Number: | 4 |
ISSN: | 0262-1711 |
Identifiers: | Number Type 10.1108/JMD-04-2015-0053 DOI |
Divisions: | Schools > Nottingham Business School |
Record created by: | Jonathan Gallacher |
Date Added: | 17 Jan 2017 11:31 |
Last Modified: | 09 Jun 2017 14:11 |
URI: | https://irep.ntu.ac.uk/id/eprint/29765 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year