Details

Dejavniki uspešnega uvajanja celovite programske rešitve v podjetje : magistrsko delo
ID Plavšić, Maja (Author), ID Hočevar, Marko (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/plavsic4260-B.pdf This link opens in a new window

Language:Slovenian
Keywords:informatika, poslovna inteligenca, informacijska tehnologija, informacijski sistemi, podjetje, poslovanje podjetja, projekti, primeri
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[M. Plavšić]
Year:2021
Number of pages:III, 65 str.
PID:20.500.12556/RUL-130698 This link opens in a new window
UDC:659.2
COBISS.SI-ID:71681795 This link opens in a new window
Publication date in RUL:18.09.2021
Views:2067
Downloads:49
Metadata:XML DC-XML DC-RDF
:
PLAVŠIĆ, Maja, 2021, Dejavniki uspešnega uvajanja celovite programske rešitve v podjetje : magistrsko delo [online]. Master’s thesis. Ljubljana : M. Plavšić. [Accessed 4 April 2025]. Retrieved from: http://www.cek.ef.uni-lj.si/magister/plavsic4260-B.pdf
Copy citation
Share:Bookmark and Share

Secondary language

Language:English
Title:Factors of successful implementation of enterprise resource planning
Keywords:informatics, business intelligence system, information technology, information systems, enterprises, company performance, projects, cases

Similar documents

Similar works from RUL:
  1. Part of speech tagging of slovene language using deep neural networks
  2. Superposition and compression of deep neutral networks
  3. Object detection and classification in aquatic environment using convolutional neural networks
  4. Analysis of infrared spectra using deep neural networks
  5. Automatic text summarization of Slovene texts using deep neural networks
Similar works from other Slovenian collections:
  1. Predicting GPS tracks with deep neural networks
  2. Comparison of different deep neural network learning algorithms in autonomous driving
  3. Zaznavanje sentimenta v novicah z globokimi nevronskimi mrežami
  4. The preparation of photos' dataset and its classification using deep neural networks
  5. Time series classification based on convolutional neural networks

Back