Complexity as an empirical tendency: Promoting non-measurement as a means to enhanced understanding |
| |
Institution: | Middlesex University, The Burroughs, Hendon, London, NW4 4BT, UK |
| |
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. |
| |
Keywords: | Complexity Measurement Epistemology Ontology Qualitative research Requisite variety |
本文献已被 ScienceDirect 等数据库收录! |
|