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Organizational Learning in the Age of Data

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Data and Information in Online Environments (DIONE 2020)

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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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Notes

  1. 1.

    The idea of technological singularity, or the merging of human and machine intelligence giving rise to infinitely more capable superintelligence, can be seen as much stronger expression of that hypothesis.

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  1. Cambridge College, Boston, MA, 02129, USA

    Andrew D. Banasiewicz

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    Rogério Mugnaini

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Banasiewicz, A.D. (2020). Organizational Learning in the Age of Data. In: Mugnaini, R. (eds) Data and Information in Online Environments. DIONE 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-50072-6_6

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