Ronaldo Parente
How do platform multinational corporations address emerging challenges in the global landscape? A ‘READ’ framework
Parente, Ronaldo; Rong, Ke; Shi, Xinwei; Kang, Zhengyao; Zhou, Di
Abstract
The prevalence of platform-based multinational corporations (PMNCs) has been increasing, and these businesses are encountering several growing challenges. These challenges include the dynamics
and diversification of the global Regulatory context (R), the evolution of platform Ecosystems as innovative organization forms (E), the emergence of Artificial intelligence technologies as a new capability (A), and the introduction of Data as a novel resource (D). A ‘READ’ framework is proposed to guide the research of PMNCs based on four dimensions. This framework aims to enhance comprehension of the challenges faced by PMNCs within the global context and to offer direction for future research endeavors.
Citation
Parente, R., Rong, K., Shi, X., Kang, Z., & Zhou, D. (2024). How do platform multinational corporations address emerging challenges in the global landscape? A ‘READ’ framework. Long Range Planning, 57(5), Article 102455. https://doi.org/10.1016/j.lrp.2024.102455
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 18, 2024 |
Online Publication Date | Jul 20, 2024 |
Publication Date | 2024-10 |
Deposit Date | Sep 10, 2024 |
Publicly Available Date | Sep 10, 2024 |
Journal | Long Range Planning |
Print ISSN | 0024-6301 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 57 |
Issue | 5 |
Article Number | 102455 |
DOI | https://doi.org/10.1016/j.lrp.2024.102455 |
Public URL | https://durham-repository.worktribe.com/output/2852358 |
Files
Accepted Journal Article
(607 Kb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This accepted manuscript is licensed under the Creative Commons Attribution 4.0 licence. https://creativecommons.org/licenses/by/4.0/
You might also like
Situating artificial intelligence in organization: A human-machine relationship perspective
(2023)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search