Big data, organizational learning, and sensemaking : theorizing interpretive challenges under conditions of dynamic complexity
Year of publication: |
February 2016
|
---|---|
Authors: | Calvard, Thomas Stephen |
Published in: |
Management learning : the journal for managerial and organizational learning. - London : Sage Publ., ISSN 1350-5076, ZDB-ID 1187389-9. - Vol. 47.2016, 1, p. 65-82
|
Subject: | Big data | complexity | learning | organizing | reflexivity | sensemaking | Lernende Organisation | Learning organization | Big Data | Sensemaking-Ansatz | Sensemaking approach | Komplexe Systeme | Complex systems | Komplexitätsmanagement | Complexity management | Data Mining | Data mining |
-
Angeli, Federica, (2020)
-
Learning in times of dynamic complexity through balancing phenomenal qualities of sensemaking
Guiette, Alain, (2016)
-
Complexity complicates lean : lessons from seven emergency services
Mazzocato, Pamela, (2014)
- More ...
-
A review of the literature on cross-functional integration (2010–2020) : trends and recommendations
Jeske, Debora, (2020)
-
Calvard, Thomas Stephen, (2017)
-
Cross-functionality in practice : electronic performance monitoring
Jeske, Debora, (2022)
- More ...