Uloga poslovne inteligencije u donošenju nestrukturiranih odluka u srednjim i velikim poduzećima u Republici Hrvatskoj

doctoral thesis

• Title (english): The role of business intelligence in making unstructured decisions in medium and large sized enterprises in the Republic of Croatia
• Author: Dajana Ćorić Bojčić
• Mentor: Katarina Ćurko (mentor); MBZ: 172003
• Committee member: Darko Tipurić (predsjednik povjerenstva); MBZ: 206214
• Committee member: Jovana Zoroja (član povjerenstva); MBZ: 295814
• Committee member: Neven Vrček (član povjerenstva); MBZ: 218614
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2021-01-14, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics
• Universal decimal classification (UDC): 330 - Economics. Economic science

Abstract

Disertacija na teorijskoj i empirijskoj osnovi evaluira autoričin model testiranjem pretpostavki o utjecajima između tehnološke, organizacijske i prediktivne komponente poslovne inteligencije i donošenja nestrukturiranih odluka. Teorijski dio rada obrađuje područje poslovnog odlučivanja s glavnim fokusom na strateško odlučivanje i donošenje nestrukturiranih odluka te pojam poslovne inteligencije s pripadajućim strukturama i tehnologijama. Empirijski dio rada bavi se testiranjem osam glavnih hipoteza. Hipoteze istraživanja su testirane korištenjem metoda deskriptivne analize, korelacijske analize te strukturalnog modeliranja. Rezultati istraživanja potvrđuju pozitivan utjecaj kvalitete podataka, znanja o poslovnoj inteligenciji, intuicije menadžera, uspjeha i predikcijskih sposobnosti poslovne inteligencije na donošenje nestrukturiranih odluka. S druge strane, integracija s drugim sustavima, kvaliteta aplikacija poslovne inteligencije te razina rizika pokazale su se kao one s nepotvrđenim utjecajem na donošenje nestrukturiranih odluka. Ovaj doktorski rad daje značajan doprinos domaćoj znanstvenoj literaturi kroz sistematizaciju teorijskih i empirijskih spoznaja o istraživanom području, definiranje modela za analizu te produbljivanje znanstvenih spoznaja o ulozi poslovne inteligencije na donošenje nestrukturiranih odluka.

Abstract (english)

The dissertation evaluates the author's model on a theoretical and empirical basis by testing assumptions about the influences between the technological, organizational and predictive components of business intelligence and unstructured decision making. The theoretical part of the paper deals with the field of business decision making with the main focus on strategic decision making and unstructured decision making and the concept of business intelligence with associated structures and technologies. The empirical part of the paper deals with the testing of eight main hypotheses. Research hypotheses were tested using the methods of descriptive analysis, correlation analysis and structural modeling. The results of the research confirm the positive influence of data quality, business intelligence knowledge, manager intuition, success and predictive abilities of business intelligence on unstructured decision making. On the other hand, integration with other systems, the quality of business intelligence applications, and the level of risk have proven to be those with unconfirmed influence on unstructured decision-making.This doctoral thesis makes a significant contribution to the domestic scientific literature through the systematization of theoretical and empirical knowledge about the research area, defining model for analysis and deepening scientific knowledge about the role of business intelligence in making unstructured decisions.

• Keywords: Poslovna inteligencija; sustavi poslovne inteligencije; poslovno odlučivanje; nestrukturirane odluke; strateško odlučivanje
• Keywords (english): Business intelligence; business intelligence systems; business decision making; unstructured decisions; strategic decision making
• Language: croatian
• URN:NBN: urn:nbn:hr:148:575807
• Promotion: 2021
• Study programme: Title: Economics and Business Economics; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, područje društvenih znanosti, polje ekonomija (doktor/doktorica znanosti, područje društvenih znanosti, polje ekonomija)
• Type of resource: Text
• Extent: 234. str
• File origin: Born digital
• Access conditions: Access restricted to authenticated users
• Created on: 2021-01-19 14:02:14