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Urbani izziv Leto 23, št. supplement, julij 2012 : S53–S62

(Članki)
doi: 10.5379/urbani-izziv-en-2012-23-supplement-1-005

 

   Članek v PDF formatu

 

Avtor

Michael C. Carroll

Center for Regional Development and Department of Economics, Bowling Green State University, Ohio, USA
mcarrol@bgnet.bgsu.edu

Mark C. Zeller

Center for Regional Development, Bowling Green State University, Ohio, USA
zellerm@bgsu.edu

 

Naslov članka

The Cognitive Limits to Economic Cluster Formation

 

Povzetek

There has been increasing interest in the social dimensions of economic clusters. The literature now includes select examples of social network analysis plus an extensive discussion of learning regions. Unfortunately, much of this work treats the network as the primary unit of analysis. It may be that network attributes such as density, centrality, and power are primarily dependent on human limitations and not instituted factors. In other words, a human’s limited ability to process information may be a better determinant of cluster success than economic or network theory. The purpose of this paper is to highlight human limits in cluster formation. To do this, we draw on recent developments in the cognitive psychology and communications literatures. We explain that many of the factors that lead to underperforming cluster policies are the result of a human’s inability to develop and sustain a large number of social interactions. Any cluster policy must be cognizant of such limitations and carefully address these limits in the formation of the initial strategy.

 

Ključne besede

Cluster theory, network attributes, cognitive psychology

 

 

 

 

UREDNIŠTVO

Urbanistični inštitut RS
Urbani izziv - uredništvo
Trnovski pristan 2, 1000 Ljubljana

  + 386 (0)1 420 13 10
  urbani.izziv@uirs.si

ISSN

Tiskana izdaja: 0353-6483
Spletna izdaja: 1855-8399
Strokovna izdaja: 2232-481X

 

INDEKS

GOOGLE SCHOLAR
h5-index: 14
h5-median: 20
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CLARIVATE ANALYTICS
Indeksirano v ESCI

 

SCOPUS ELSEVIER

SCImago Journal & Country Rank

SNIP (2021): 0,79
CiteScoreTracker (2022): 1,8

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