• Lietuvių
    • English
  • Lietuvių 
    • Lietuvių
    • English
  • Prisijungti
Peržiūrėti įrašą 
  •   DSpace pagrindinis
  • Mokslinės publikacijos (PDB) / Scientific publications (PDB)
  • Moksliniai ir apžvalginiai straipsniai / Research and Review Articles
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources
  • Peržiūrėti įrašą
  •   DSpace pagrindinis
  • Mokslinės publikacijos (PDB) / Scientific publications (PDB)
  • Moksliniai ir apžvalginiai straipsniai / Research and Review Articles
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources
  • Peržiūrėti įrašą
JavaScript is disabled for your browser. Some features of this site may not work without it.

Towards competitive regional development through clusters: approaches to their performance evaluation

Thumbnail
Data
2017
Autorius
Tvaronavičienė, Manuela
Razminienė, Kristina
Metaduomenys
Rodyti detalų aprašą
Santrauka
It is notable that the interest in clusters and their role in sustainable regional development are increasing as scholars often review this topic. Valuable observations are made on how the clusters should be researched in order to improve their performance which would result in economic growth both on regional and national scale. Clusters’ performance is complicated to evaluate as the measures of the aspects that must be calculated differ and the most appropriate solution to formalize these aspects should be found. Different multi-criteria evaluation methods are suggested by scholars for a quantitative evaluation of performance of a certain phenomenon. This study attempts to present the clusters’ performance evaluation by applying the multi-criteria SAW method. Seven clusters from Lithuania and Latvia were examined to serve the purpose of this study. The multi-criteria analysis could be used as a method in further evaluation of clusters’ performance for it is comprehensible, easy to apply, helpful in the data evaluation of different measures and it provides adequate results, which is very important in a quantitative analysis. The results suggest that processes are very important in clusters’ performance evaluation for clusters which show good results with processes, stay in high positions, whereas clusters which are keeping behind with processes show worse results in their performance. The study still needs to be supplemented by more clusters to obtain specific information and to elaborate on more specific clusters’ performance evaluation methods.
Paskelbimo data (metai)
2017
URI
https://etalpykla.vilniustech.lt/handle/123456789/118532
Kolekcijos
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

Naršyti

Visame DSpaceRinkiniai ir kolekcijosPagal išleidimo datąAutoriaiAntraštėsTemos / Reikšminiai žodžiai InstitucijaFakultetasKatedra / institutasTipasŠaltinisLeidėjasTipas (PDB/ETD)Mokslo sritisStudijų kryptisVILNIUS TECH mokslinių tyrimų prioritetinės kryptys ir tematikosLietuvos sumanios specializacijosŠi kolekcijaPagal išleidimo datąAutoriaiAntraštėsTemos / Reikšminiai žodžiai InstitucijaFakultetasKatedra / institutasTipasŠaltinisLeidėjasTipas (PDB/ETD)Mokslo sritisStudijų kryptisVILNIUS TECH mokslinių tyrimų prioritetinės kryptys ir tematikosLietuvos sumanios specializacijos

Asmeninė paskyra

PrisijungtiRegistruotis