Preconditions for Emergence of Lithuanian Clusters: from Informal Cooperation to Its Legitimation
Grumadaitė Kristina () and
Jucevičius Giedrius ()
Additional contact information
Grumadaitė Kristina: Kauno technologijos universiteto Ekonomikos ir verslo fakulteto Strateginio valdymo katedros doktorantė. Gedimino g. 50, LT-44309 Kaunas, Lithuania
Jucevičius Giedrius: Vytauto Didžiojo universiteto profesorius, Ekonomikos ir vadybos fakulteto Vadybos katedros vedėjas. Adresas: S. Daukanto g. 28, LT-44248 Kaunas, Lithuania
Management of Organizations: Systematic Research, 2017, vol. 77, issue 1, 37-56
This paper reveals preconditions for the emergence of clusters as self-organisation based industrial systems in a context, in which cooperation traditions are insufficiently developed. These preconditions reflect the principles of the emergence of self-organising complex adaptive systems that are analysed in the complexity theory. Those principles are based on the initiation of non-equilibrium and its purposeful direction into the creation of a new order. This paper highlights the main external and internal tensions that influence informal or formal clustering of enterprises, while various change agents perform different roles making self-organising processes to occur.
Keywords: clusters; complex adaptive systems; industrial systems; self-organisation; cluster emergence (search for similar items in EconPapers)
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
https://www.degruyter.com/view/j/mosr.2017.77.issu ... -0003.xml?format=INT (text/html)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:vrs:morgsr:v:77:y:2017:i:1:p:37-56:n:3
Access Statistics for this article
Management of Organizations: Systematic Research is currently edited by Giedrius Jucevičius
More articles in Management of Organizations: Systematic Research from Sciendo
Bibliographic data for series maintained by Peter Golla ().