Pregled bibliografske jedinice broj: 986753
Optimal Partition of the Furniture Manufacturing in Croatia
Optimal Partition of the Furniture Manufacturing in Croatia // Croatian operational research review, 9 (2018), 2; 133-148 doi:10.17535/crorr.2018.0011 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 986753 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimal Partition of the Furniture Manufacturing in Croatia
Autori
Briš Alić, Martina ; Harc, Martina
Izvornik
Croatian operational research review (1848-0225) 9
(2018), 2;
133-148
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
cluster ; furniture manufacturing ; cluster analysis ; optimal partition ; the fast partitioning algorithm
Sažetak
This paper emphasise the clustering of furniture industry as one of the important segments of development strategy of the Croatian economy. Utilizing theoretical and empirical research methods, this study aimed to identify optimal partitioning of seven clusters. In order to identify areas with high concentrations of furniture manufacturers, the fast partitioning algorithm among furniture manufacturers in Croatia – enterprises from class 31.09 – Manufacture of other furniture is used. It is important whereas such areas constituted of industry clusters are favourable for targeted cluster-based development. Previous research suggests that companies within clusters achieve higher level of productivity and growth, reach higher levels of innovation and provide favourable environment for entrepreneurship. Higher industry concentration within a specific geographic area offer numerous advantageous resulted from areas abundant with natural resources, human resources, suitable physical and information infrastructure and positive business environment. Using the fast partitioning algorithm, companies from class 31.09 – Manufacture of other furniture are clustered by geographical location (latitude and longitude), the number of employees, average net salary and value added. The results showed that the optimal partitioning of seven clusters is accomplished with observed five variables and that clusters significantly differ between each other according to the observed features.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Osijek,
Hrvatska akademija znanosti i umjetnosti
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
- EconLit
Uključenost u ostale bibliografske baze podataka::
- INSPEC
- MathSciNet
- Zentrallblatt für Mathematik/Mathematical Abstracts
- Current Index to Statistics, Current Mathematical Publications
- DOAJ
- EBSCO host, Genamics Journal Seek database, HRČAK
- ProQuest