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From eLearning to Digital Transformation: A Framework and Implications for L&D

Type
conference paper
Date Issued
2016-06-17
Author(s)
Seufert, Sabine
;
Meier, Christoph  
Abstract
How can the learning function (L&D) support learning and innovation ability of the entire organization in times of digital transformation? The core challenges for the learning function are twofold. Competence clarification: What are relevant “digital competences” in terms of knowledge, skills and attitudes that employees need in order to cope with digital transformation? Competence development: How to organize, design and support learning processes contributing to digital competences and digital transformation?
L&D needs to move beyond adding eLearning and blended to the established services in order to provide this support. Building on a framework originating in the context of business engineering and applying it to corporate training and human resource development, we explicate what digital transformation may imply for the L&D function. As L&D functions explore and exploit the options sketched out, they live digital transformation in a way that enables them to effectively and efficiently contribute to digital transformation at an organizational level.
Language
English
Keywords
Corporate L&D
digital competences
digital transformation
learning management;
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Book title
ICELW 2016 Conference Proceedings
Event Title
9th annual International Conference on E-Learning in the Workplace (ICEW) 2016
Event Location
New York
Event Date
15.-17.06.2016
Official URL
http://www.icelw.org/proceedings/2016/ICELW2016/Papers/Seufert_Meier.pdf
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/104210
Subject(s)

education

business studies

Division(s)

IBB - Institute for E...

Contact Email Address
christoph.meier@unisg.ch
Eprints ID
248134
File(s)
Thumbnail Image

open.access

Name

Seufert Meier ICELW2016 vs 2016-03-21.pdf

Size

311.7 KB

Format

Adobe PDF

Checksum (MD5)

ffead1e465d6ccf0c5822cf261974b97

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