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Pregled bibliografske jedinice broj: 1173299

E-Business Intelligence: How to turn a large amount of business data into knowledge about companies?


Luić, Ljerka
e-Business Intelligence: How to turn a large amount of business data into knowledge about companies? // Tehnički glasnik - Technical journal (2022) (znanstveni, prihvaćen)


CROSBI ID: 1173299 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
E-Business Intelligence: How to turn a large amount of business data into knowledge about companies?

Autori
Luić, Ljerka

Vrsta, podvrsta
Radovi u časopisima, znanstveni

Izvornik
Tehnički glasnik - Technical journal (2022)

Status rada
Prihvaćen

Ključne riječi
BI ; Big Data ; business data ; production company ; knowledge ; EU funds

Sažetak
The development of new technologies has enabled the creation of large databases, analytical tools, and methodologies that process this data and turn it into information needed for decision-making. In the years to come, many companies in Croatia see EU funds as a development opportunity. From the point of view of the state, these are companies that need to be identified in time, and direct part of the funds towards them. How to identify the overall potential of a company using e- Business Intelligence and using BI tools is a research question, the answer to which was obtained by creating an innovative methodology that includes Maheshwari's Data Processing Chain and BI Circular Concept as a separate business cycle within the sustainable business cycle. For each company in the observed set of production companies, for this paper, eight performance indicators were selected and calculated, based on which a prediction model was created that can be used to convert the information obtained into the knowledge of their potential to apply for EU application.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
NadSve-Sveučilište Sjever-UNIN-DRUŠ-20-1-10 - E-učenje - Digitalni kurikulum za digitalno vrijeme (eL-DCforDT) (Luić, Ljerka, NadSve - Natječaj za potpore znanstvenim istraživanjima i umjetničkom radu Sveučilišta Sjever u 2020. godini) ( POIROT)

Ustanove:
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Ljerka Luić (autor)

Citiraj ovu publikaciju:

Luić, Ljerka
e-Business Intelligence: How to turn a large amount of business data into knowledge about companies? // Tehnički glasnik - Technical journal (2022) (znanstveni, prihvaćen)
Luić, L. (2022) e-Business Intelligence: How to turn a large amount of business data into knowledge about companies?. Prihvaćen za objavljivanje u Tehnički glasnik - Technical journal. [Preprint].
@unknown{unknown, author = {Lui\'{c}, Ljerka}, year = {2022}, keywords = {BI, Big Data, business data, production company, knowledge, EU funds}, journal = {Tehni\v{c}ki glasnik - Technical journal}, title = {e-Business Intelligence: How to turn a large amount of business data into knowledge about companies?}, keyword = {BI, Big Data, business data, production company, knowledge, EU funds} }
@unknown{unknown, author = {Lui\'{c}, Ljerka}, year = {2022}, keywords = {BI, Big Data, business data, production company, knowledge, EU funds}, journal = {Tehni\v{c}ki glasnik - Technical journal}, title = {e-Business Intelligence: How to turn a large amount of business data into knowledge about companies?}, keyword = {BI, Big Data, business data, production company, knowledge, EU funds} }

Časopis indeksira:


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





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