2014
DOI: 10.1504/ijkbd.2014.068047
|View full text |Cite
|
Sign up to set email alerts
|

Benchmarking knowledge potentials of clusters: a comparative study in the tourism industry

Abstract: Clusters have been identified as influential mechanisms to drive knowledge-based innovations. Despite this acknowledgement, there have not been many attempts to evaluate their knowledge potentials. This is a pioneering study that benchmarks the knowledge potential of two tourism clusters from Finland and Turkey using the emerald model. The study benchmarks the clusters in terms of their educational attractiveness, talent attractiveness, R&D and innovation attractiveness, ownership attractiveness, environmental… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 36 publications
0
1
0
Order By: Relevance
“…The emerald model by Sasson and Reve (2012) is selected as an effective approach to assess regional competitiveness in this study. The choice is driven by the fact that it was operationalised in earlier studies to assess the competitiveness of various industries (see Sasson and Blomgren, 2011;Vinje and Nordkvelde, 2011) and to benchmark clusters (see Akpinar and Mermercioglu, 2014a;Akpinar and Mermercioglu, 2014b). Ease of operationalisation is an important criterion behind this choice as the study covers many years of retrospective data for a large number of regions from different countries.…”
Section: The Emerald Model and The Hypothesesmentioning
confidence: 99%
“…The emerald model by Sasson and Reve (2012) is selected as an effective approach to assess regional competitiveness in this study. The choice is driven by the fact that it was operationalised in earlier studies to assess the competitiveness of various industries (see Sasson and Blomgren, 2011;Vinje and Nordkvelde, 2011) and to benchmark clusters (see Akpinar and Mermercioglu, 2014a;Akpinar and Mermercioglu, 2014b). Ease of operationalisation is an important criterion behind this choice as the study covers many years of retrospective data for a large number of regions from different countries.…”
Section: The Emerald Model and The Hypothesesmentioning
confidence: 99%