Complexity as an empirical tendency: promoting non-measurement as a means to enhanced understanding
Article
Poulis, K. 2021. Complexity as an empirical tendency: promoting non-measurement as a means to enhanced understanding. European Management Journal. 39 (4), pp. 487-496. https://doi.org/10.1016/j.emj.2020.10.005
| Type | Article |
|---|---|
| Title | Complexity as an empirical tendency: promoting non-measurement as a means to enhanced understanding |
| Authors | Poulis, K. |
| Abstract | In this conceptual paper, I seek to provide an organising framework for conducting qualitative research in complexity studies in management. Building upon the underlying logic of Kauffman's NK(C) model and the notion of second-order complexity, I urge management researchers interested in complex adaptive systems to capture, understand, and articulate complexity as an empirical tendency as opposed to the measurement-driven orientation of many scholars. I contend that the latter orientation's illusion for numerical precision, predictive accuracy and generalizable truthfulness is not only undoable but also unnecessary in the context of providing practically meaningful and realistic recommendations to those interested in complexity. |
| Publisher | Elsevier |
| Journal | European Management Journal |
| ISSN | 0263-2373 |
| Publication dates | |
| Online | 17 Oct 2020 |
| 01 Aug 2021 | |
| Publication process dates | |
| Deposited | 03 Sep 2021 |
| Accepted | 15 Oct 2020 |
| Output status | Published |
| Accepted author manuscript | License |
| Copyright Statement | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.emj.2020.10.005 |
| Language | English |
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