Abstract
The multidimensional characteristic of learning has received little attention in the network literature, resulting in fragmented empirical evidence on learning networks. To address this gap, we introduce a framework that allows a better understanding of the multidimensionality of learning networks by employing the concept of multiplexity in the network literature. Our proposed conceptual framework for multiplex learning networks includes a 3-E typology (exploration, exploitation, and exaptation), which serve as distinct layers within the multiplex networks. We also provide a hypothetical scenario to demonstrate the potential of our multiplex learning networks framework for HRD scholars and practitioners. Moreover, we extend our framework to a multilevel model that connects individual-level learning relationships to team-level relationships. Our framework’s theoretical and practical implications are discussed, and future research directions are suggested.
Description
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Publisher
SAGE
Date of publication
11-2023
Language
english
Persistent identifier
http://hdl.handle.net/10950/4404
Document Type
Article
Recommended Citation
Yoo, Sangok; Turner, John; Nimon, Kim; and Adepoju, Bisola, "Weaving Layers of Learning: Multiplex Learning Networks in the Workplace" (2023). Human Resource Development Faculty Publications and Presentations. Paper 40.
http://hdl.handle.net/10950/4404
