Small enterprises as complex adaptive systems: a methodological question?

Hdl Handle:
http://hdl.handle.net/10149/58401
Title:
Small enterprises as complex adaptive systems: a methodological question?
Authors:
Fuller, E. (Ted); Moran, P. (Paul)
Citation:
Fuller, E. and Moran, P. (2001) 'Small enterprises as complex adaptive systems: a methodological question?', Entrepreneurship & Regional Development, 13 (1), pp.47-63.
Publisher:
Taylor & Francis
Journal:
Entrepreneurship & Regional Development
Issue Date:
Jan-2001
URI:
http://hdl.handle.net/10149/58401
DOI:
10.1080/089856201750046801
Abstract:
Complexity science constitutes an emerging post-positivist interdisciplinary field of investigation of dynamical systems in the natural and physical worlds. The central concept of complexity is that interactions between parts of open systems create novel, unpredictable patterns, and that while the history of the system is relevant in understanding its dynamic, the isolation of individual parts of the system (analysis) does not reveal the casual mechanisms in the system. It is suggested that complexity science can inform our methodologies for investigating the social sciences. The paper explores whether complexity science offers ways of theory building that can take account of pluralistic or interdisciplinary research in enterprise dynamics. The authors offer a model of six theorized ontological layers, derived from the canon of research literature within a small enterprise domain, with boundaries at each end. It is suggested that dynamical concepts of agency (adaption, evolution, fitness, interdependence) coupled with the theory of evolutionary autopoietic structures generate a plausible field for the study of enterprise dynamics. A focus on ontological and experimental adequacy is necessary to develop theory within this framework. An appropriate methodology involves iterations between experimental forms of scientific analysis and the grounding of emergent or evolving theories.
Type:
Article
Keywords:
small businesses; complexity science; theory
ISSN:
1464-5114
Rights:
Subject to restrictions, author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 12/01/2010]
Citation Count:
0 [Web of Science and Scopus, 12/01/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorFuller, E. (Ted)-
dc.contributor.authorMoran, P. (Paul)-
dc.date.accessioned2009-04-01T10:51:07Z-
dc.date.available2009-04-01T10:51:07Z-
dc.date.issued2001-01-
dc.identifier.citationEntrepreneurship & Regional Development; 13 (1): 47-63-
dc.identifier.issn1464-5114-
dc.identifier.doi10.1080/089856201750046801-
dc.identifier.urihttp://hdl.handle.net/10149/58401-
dc.description.abstractComplexity science constitutes an emerging post-positivist interdisciplinary field of investigation of dynamical systems in the natural and physical worlds. The central concept of complexity is that interactions between parts of open systems create novel, unpredictable patterns, and that while the history of the system is relevant in understanding its dynamic, the isolation of individual parts of the system (analysis) does not reveal the casual mechanisms in the system. It is suggested that complexity science can inform our methodologies for investigating the social sciences. The paper explores whether complexity science offers ways of theory building that can take account of pluralistic or interdisciplinary research in enterprise dynamics. The authors offer a model of six theorized ontological layers, derived from the canon of research literature within a small enterprise domain, with boundaries at each end. It is suggested that dynamical concepts of agency (adaption, evolution, fitness, interdependence) coupled with the theory of evolutionary autopoietic structures generate a plausible field for the study of enterprise dynamics. A focus on ontological and experimental adequacy is necessary to develop theory within this framework. An appropriate methodology involves iterations between experimental forms of scientific analysis and the grounding of emergent or evolving theories.-
dc.publisherTaylor & Francis-
dc.rightsSubject to restrictions, author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 12/01/2010]-
dc.subjectsmall businesses-
dc.subjectcomplexity science-
dc.subjecttheory-
dc.titleSmall enterprises as complex adaptive systems: a methodological question?-
dc.typeArticle-
dc.identifier.journalEntrepreneurship & Regional Development-
ref.assessmentRAE 2008-
ref.citationcount0 [Web of Science and Scopus, 12/01/2010]-
or.citation.harvardFuller, E. and Moran, P. (2001) 'Small enterprises as complex adaptive systems: a methodological question?', Entrepreneurship & Regional Development, 13 (1), pp.47-63.-
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