Umetna inteligenca in orodja menedžerjev
DOI:
https://doi.org/10.37886/Ključne besede:
umetna inteligenca, managerska orodja, managerska presoja, dinamične sposobnosti, poslovna uspešnost, podatkovna intenzivnost, digitalna transformacija, managementPovzetek
Raziskovalno vprašanje (RV): Kakšno je razmerje med umetno inteligenco in orodji menedžerjev ter ali umetna inteligenca deluje predvsem kot njihov substitut ali komplement.
Namen: Namen raziskave je bil proučiti vpliv umetne inteligence na orodja menedžerjev in razviti konceptualni model povezav med presojo menedžerjev, dinamičnimi zmožnostmi in poslovno uspešnostjo podjetja.
Metoda: Raziskava temelji na strukturiranem pregledu sodobne strokovne literature s področja menedžmenta, orodij menedžerjev, umetne inteligence in dinamičnih zmožnostih ter na ugotovitvah predhodne empirične raziskave o vplivu orodij menedžerjev na poslovno uspešnost podjetij. Na podlagi primerjalne analize literature je bil razvit konceptualni model razmerij med proučevanimi konstrukti.
Rezultati: Razvit je koncept podatkovne intenzivnosti managerskih orodij kot dejavnika, ki pojasnjuje stopnjo njihove podpore oziroma substitucije z umetno inteligenco. Oblikovana je nova taksonomija orodij managerskih glede na podatkovno intenzivnost, potrebo po managerski presoji in vpliv umetne inteligence. Predlagan je izvirni konceptualni model, v katerem orodja managerska in umetna inteligenca vplivajo na poslovno uspešnost podjetja posredno preko managerske presoje in dinamičnih sposobnosti.
Organizacija: Rezultati omogočajo managerjem boljše razumevanje področij, na katerih lahko umetna inteligenca učinkovito podpira managersko odločanje, ter področij, kjer ostaja managerska presoja ključni dejavnik uspešnega vodenja organizacij.
Družba: Prispevek prispeva k boljšemu razumevanju odgovorne, pregledne in človeku osredotočene uporabe umetne inteligence v organizacijah ter poudarja pomen ohranjanja človeške presoje pri strateškem odločanju.
Originalnost: Izvirni prispevek raziskave predstavlja uvedba koncepta podatkovne intenzivnosti managerskih orodij, razvoj nove taksonomije managerskih orodij ter povezovanje teorije managerskih orodij, umetne inteligence in dinamičnih sposobnosti v enoten konceptualni okvir.
Omejitve/nadaljnje raziskovanje: Raziskava je konceptualne narave in ne vključuje empiričnega preverjanja predlaganega modela. Prihodnje raziskave naj empirično preverijo predlagane povezave med umetno inteligenco, managersko presojo, dinamičnimi sposobnostmi in poslovno uspešnostjo podjetij.
Ključne besede: umetna inteligenca, managerska orodja, managerska presoja, dinamične sposobnosti, poslovna uspešnost, podatkovna intenzivnost, digitalna transformacija, management.
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