Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Pihir, Igor"'
Publikováno v:
Business Systems Research, Vol 14, Iss 1, Pp 1-25 (2023)
Innovating how organisations run their business is a strategic decision to create more value for customers using or consuming the product and/or service provided. In addition to the incentive of everybody embracing digital transformation, digital tec
Externí odkaz:
https://doaj.org/article/8d212e54358943b09036e897a7c2e1f5
Publikováno v:
TEM Journal. Nov2023, Vol. 12 Issue 4, p2512-2521. 10p.
Publikováno v:
Business Systems Research, Vol 11, Iss 1, Pp 125-141 (2020)
Background: Complexity of the digital transformation (Digital Transformation) paradigm and its relation to the fourth technological revolution face companies with serious challenges when it comes to keeping up with the competition or becoming a leade
Externí odkaz:
https://doaj.org/article/b4db0eab529c4c828d0472db826db8dc
Publikováno v:
Management - Journal of Contemporary Management Issues. 24(1):39-54
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=801374
Publikováno v:
Journal of Information and Organizational Sciences. 43(1):33-48
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=775679
Data understanding and preparation in business domain: Importance of meta-features characterization.
Autor:
Oreški, Dijana, Pihir, Igor
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3919 Issue 1, p1-5, 5p
Digital Transformation (DTr) is a contemporary and emerging paradigm that enables organizations “to jump”, with the use of modern technology and shift in mind a "new way of thinking", in such a way that a new business model is established and/or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::1186083efc2d31302ceec5c35f3598d3
https://www.bib.irb.hr/1276492
https://www.bib.irb.hr/1276492
The application scenarios for machine learning algorithms are getting more complicated as machine learning and real-world situations converge more and more. All fields of study have adopted and benefit from diverse machine learning algorithms impleme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::6f81ae8486aea96564333d894abbc085
https://www.bib.irb.hr/1275521
https://www.bib.irb.hr/1275521
Publikováno v:
Journal of Information and Organizational Sciences. 39(1):85-101
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=603466
Publikováno v:
Journal of Information and Organizational Sciences. 39(1):21-32
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=603292