Dejavniki uvajanja umetne inteligence v projektnem managementu: globalna analiza znanja, spodbujevalcev in ovir
DOI:
https://doi.org/10.32015/Ključne besede:
projektni management, konkurenčna prednost, dejavniki uvajanja, umetna inteligenca (UI), digitalna transformacijaPovzetek
Raziskava proučuje dejavnike uvajanja umetne inteligence (UI) v projektnem managementu s poudarkom na znanju, organizacijskih spodbujevalcih in zaznanih ovirah. Na podlagi globalne ankete med 345 strokovnjaki s področja projektnega managementa raziskava analizira tri modele: (1) vpliv znanja o UI na verjetnost uvedbe, (2) vpliv organizacijskih spodbujevalcev, kot so operativna učinkovitost, vizija vodstva in konkurenčna prednost, ter (3) vpliv zaznanih ovir, vključno z negotovo donosnostjo naložbe (ROI), skrbmi glede zasebnosti podatkov, visokimi stroški in pomanjkanjem strokovnega znanja.
Rezultati kažejo, da višja raven znanja o UI pomembno povečuje pripravljenost za njeno uvedbo. Organizacijski spodbujevalci, zlasti vizija vodstva in konkurenčna prednost, predstavljajo močne pozitivne napovednike uvedbe, medtem ko negotova donosnost naložbe deluje kot pomembna ovira. Zanimivo je, da skrb glede zasebnosti podatkov in pomanjkanje znanja kažeta pozitivno povezavo z uvajanjem, kar nakazuje na kompleksne interakcije med zaznanimi ovirami in vedenjem pri uvajanju tehnologije.
Ugotovitve prispevajo k boljšemu razumevanju integracije UI v projektni management ter ponujajo uporabne usmeritve organizacijam, ki želijo izboljšati učinkovitost, odločanje in strateško implementacijo UI v projektih.
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