Research Article
Organizational Learning in the Age of Data
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@INPROCEEDINGS{10.1007/978-3-030-50072-6_6, author={Andrew D. Banasiewicz}, title={Organizational Learning in the Age of Data}, proceedings={Data and Information in Online Environments. First EAI International Conference, DIONE 2020, Florian\^{o}polis, Brazil, March 19-20, 2020, Proceedings}, proceedings_a={DIONE}, year={2020}, month={6}, keywords={Organizational learning Computational learning Simulational learning}, doi={10.1007/978-3-030-50072-6_6} }- Andrew D. Banasiewicz
Year: 2020
Organizational Learning in the Age of Data
DIONE
Springer
DOI: 10.1007/978-3-030-50072-6_6
Abstract
Traditionally, organizational learning has been viewed as a human-centric endeavor, but the rise of big data and advanced data analytic technologies are compelling a fundamental reconceptualization of the scope and modalities of organizational learning. Building on the foundation of explicit differentiation between episodic vs. ongoing learning inputs and new vs. cumulative learning outcomes, this article proposes a new typology of organizational learning modalities, which explicitly distinguishes between human reason-centric theoretical and experiential learning, and technology-centric computational and simulational learning modalities.
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