THE ROLE OF MODERN INFORMATION TECHNOLOGY AS AN IMPORTANT ASPECT OF BUSINESS INTELLIGENCE IN THE OPTIMIZATION OF LOGISTICS SYSTEMS

Dominika Crnjac Milic (), Ivana Hartmann Tolic () and Marina Peko ()
Additional contact information
Dominika Crnjac Milic: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, J.J. Strossmayer University of Osijek, Croatia
Ivana Hartmann Tolic: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, J.J. Strossmayer University of Osijek, Croatia
Marina Peko: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, J.J. Strossmayer University of Osijek, Croatia

Business Logistics in Modern Management, 2017, vol. 17, 405-420

Abstract: Business intelligence as set of methods for managing large amounts of information and knowledge about the internal and external business environment in which companies operate simplifies the decision making process and provides competitive advantage. However, business intelligence deals with a great quantity of information, which imposes the need for finding better ways of data structuring. This paper is based on the hypothesis that the systems of business intelligence are specific and complex information systems where, apart from the constant need for the comprehensive and standardized development, an increasing need to adapt to particularities of business and specific processes of the particular organization occur, the same as for individual users. A comparison of different information systems that provide support in making business decisions and ontology as more recent concept of artificial intelligence is presented. A special emphasis of the paper is on the ontological structure of the data in the field of logistic operations. A practical analysis is based on publicly available business data, documents and information available on the Internet provided by the companies that offer the complete systems of business intelligence as well as on the pre-established theoretical and scientific findings of other researchers. The methods of description, induction, deduction and comparison are used in this paper.

Keywords: business intelligence; information; data; ontology; logistic systems (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.efos.unios.hr/repec/osi/bulimm/PDF/Busi ... ment17/blimm1726.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osi:bulimm:v:17:y:2017:p:405-420

Access Statistics for this article

More articles in Business Logistics in Modern Management from Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia Contact information at EDIRC.
Bibliographic data for series maintained by Davor Dujak,PhD ( this e-mail address is bad, please contact ).