Generative Artificial Intelligence and 3D Virtual Simulation Technologies, Ambient Scene Detection and Automated Employment Decision Tools, and Visual Data Mining and Immersive Remote Collaboration Systems in Decentralized Autonomous Organizations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002679" target="_blank" >RIV/75081431:_____/23:00002679 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.addletonacademicpublishers.com/search-in-am/2700-volume-22-2023/4566-generative-artificial-intelligence-and-3d-virtual-simulation-technologies-ambient-scene-detection-and-automated-employment-decision-tools-and-visual-data-mining-and-immersiv" target="_blank" >https://www.addletonacademicpublishers.com/search-in-am/2700-volume-22-2023/4566-generative-artificial-intelligence-and-3d-virtual-simulation-technologies-ambient-scene-detection-and-automated-employment-decision-tools-and-visual-data-mining-and-immersiv</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Generative Artificial Intelligence and 3D Virtual Simulation Technologies, Ambient Scene Detection and Automated Employment Decision Tools, and Visual Data Mining and Immersive Remote Collaboration Systems in Decentralized Autonomous Organizations

Popis výsledku v původním jazyce

The objective of this paper is to systematically review generative artificial intelligence and workplace monitoring systems configuring crowdsourced decisions, business process performance, and talent management. Throughout August 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and 3D virtual simulation technologies” + “ambient scene detection and automated employment decision tools,” “visual data mining and immersive remote collaboration systems,” and “decentralized autonomous organizations.” As research published in 2023 was inspected, only 167 articles satisfied the eligibility criteria, and 49 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

Název v anglickém jazyce

Generative Artificial Intelligence and 3D Virtual Simulation Technologies, Ambient Scene Detection and Automated Employment Decision Tools, and Visual Data Mining and Immersive Remote Collaboration Systems in Decentralized Autonomous Organizations

Popis výsledku anglicky

The objective of this paper is to systematically review generative artificial intelligence and workplace monitoring systems configuring crowdsourced decisions, business process performance, and talent management. Throughout August 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and 3D virtual simulation technologies” + “ambient scene detection and automated employment decision tools,” “visual data mining and immersive remote collaboration systems,” and “decentralized autonomous organizations.” As research published in 2023 was inspected, only 167 articles satisfied the eligibility criteria, and 49 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50200 - Economics and Business

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Analysis and Metaphysics

ISSN

1584-8574

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

Neuvedeno

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

121-139

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85183898711