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Pregled bibliografske jedinice broj: 938115

EXPLORING IMPACT OF ECONOMIC COST OF VIOLENCE ON INTERNATIONALIZATION: CLUSTER ANALYSIS APPROACH


Pejić Bach, Mirjana; Dumičić, Ksenija; Jaković, Božidar; Nikolić, Helena; Žmuk, Berislav
EXPLORING IMPACT OF ECONOMIC COST OF VIOLENCE ON INTERNATIONALIZATION: CLUSTER ANALYSIS APPROACH // International journal of engineering business management, 10 (2018), 1; 1-15 doi:10.1177/1847979018771244 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 938115 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
EXPLORING IMPACT OF ECONOMIC COST OF VIOLENCE ON INTERNATIONALIZATION: CLUSTER ANALYSIS APPROACH

Autori
Pejić Bach, Mirjana ; Dumičić, Ksenija ; Jaković, Božidar ; Nikolić, Helena ; Žmuk, Berislav

Izvornik
International journal of engineering business management (1847-9790) 10 (2018), 1; 1-15

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
CAGE model ; cluster analysis ; economic development level ; machine learning ; violence cost

Sažetak
Companies have to deal with many different challenges in their environment every day. In this article, focus is given to inspecting the impact of the economic costs of violence on 119 countries worldwide. In the analysis, the CAGE model, which consists of four complex domains: Cultural, Administrative, Geographic, and Economic differences, is used to group countries according to their development level and the level of violence costs. However, in the clustering analysis, except the CAGE variable, 10 additional variables describing development level and the economic costs of violence are used as well. According to the conducted nonhierarchical cluster analysis, in which a k-means approach was used, six groups of countries are recognized. Most countries can be found in the cluster of developing countries with low economic costs of violence. So, the results pointed out that, despite the low economic costs of violence, a large number of countries are still struggling with other key environmental challenges that prevent them from achieving their full economic development potential.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb

Citiraj ovu publikaciju

Pejić Bach, Mirjana; Dumičić, Ksenija; Jaković, Božidar; Nikolić, Helena; Žmuk, Berislav
EXPLORING IMPACT OF ECONOMIC COST OF VIOLENCE ON INTERNATIONALIZATION: CLUSTER ANALYSIS APPROACH // International journal of engineering business management, 10 (2018), 1; 1-15 doi:10.1177/1847979018771244 (međunarodna recenzija, članak, znanstveni)
Pejić Bach, M., Dumičić, K., Jaković, B., Nikolić, H. & Žmuk, B. (2018) EXPLORING IMPACT OF ECONOMIC COST OF VIOLENCE ON INTERNATIONALIZATION: CLUSTER ANALYSIS APPROACH. International journal of engineering business management, 10 (1), 1-15 doi:10.1177/1847979018771244.
@article{article, year = {2018}, pages = {1-15}, DOI = {10.1177/1847979018771244}, keywords = {CAGE model, cluster analysis, economic development level, machine learning, violence cost}, journal = {International journal of engineering business management}, doi = {10.1177/1847979018771244}, volume = {10}, number = {1}, issn = {1847-9790}, title = {EXPLORING IMPACT OF ECONOMIC COST OF VIOLENCE ON INTERNATIONALIZATION: CLUSTER ANALYSIS APPROACH}, keyword = {CAGE model, cluster analysis, economic development level, machine learning, violence cost} }
@article{article, year = {2018}, pages = {1-15}, DOI = {10.1177/1847979018771244}, keywords = {CAGE model, cluster analysis, economic development level, machine learning, violence cost}, journal = {International journal of engineering business management}, doi = {10.1177/1847979018771244}, volume = {10}, number = {1}, issn = {1847-9790}, title = {EXPLORING IMPACT OF ECONOMIC COST OF VIOLENCE ON INTERNATIONALIZATION: CLUSTER ANALYSIS APPROACH}, keyword = {CAGE model, cluster analysis, economic development level, machine learning, violence cost} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • BASE (Bielefeld Academic Search Engine)
  • EBSCO
  • Google Scholar
  • ProQuest
  • WorldCat


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