Decision intelligence and modeling, multisensory customer experiences, and socially interconnected virtual services across the metaverse ecosystem

E Nica, M Poliak, GH Popescu, IA Pârvu - Linguistic and Philosophical …, 2022 - ceeol.com
This article reviews and advances existing literature concerning decision intelligence and
modeling, multisensory customer experiences, and socially interconnected virtual services …

Augmented reality shopping experiences, retail business analytics, and machine vision algorithms in the virtual economy of the metaverse

GH Popescu, K Valaskova, J Horak - Journal of Self-Governance and …, 2022 - ceeol.com
The purpose of this study is to examine augmented reality shopping experiences, retail
business analytics, and machine vision algorithms in the virtual economy of the metaverse …

Economic growth, increasing productivity of SMEs, and open innovation

B Surya, F Menne, H Sabhan, S Suriani… - Journal of Open …, 2021 - mdpi.com
The empowerment of small and medium economic enterprises will drive economic growth.
The purpose of this study is to analyze (1) how economic growth works as a determinant of …

[PDF][PDF] Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management

G Lăzăroiu, M Bogdan, M Geamănu… - Oeconomia …, 2023 - bibliotekanauki.pl
Research background: Fintech development shapes corporate investment efficiency and
economic growth with innovative tools, and can decrease financing constraints of …

Product decision-making information systems, real-time big data analytics, and deep learning-enabled smart process planning in sustainable industry 4.0

E Peters, T Kliestik, H Musa, P Durana - Journal of Self-Governance and …, 2020 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze sustainable
Industry 4.0. Building our argument by drawing on data collected from Capgemini, Deloitte …

Product decision-making information systems, real-time sensor networks, and artificial intelligence-driven big data analytics in sustainable Industry 4.0

A Novak, D Bennett, T Kliestik - Economics, Management and Financial …, 2021 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore product
decision-making information systems, real-time sensor networks, and artificial intelligence …

Artificial intelligence data-driven internet of things systems, real-time advanced analytics, and cyber-physical production networks in sustainable smart manufacturing

P Durana, N Perkins, K Valaskova - Econ. Manag. Financ. Mark, 2021 - ceeol.com
Despite the relevance of artificial intelligence data-driven Internet of Things systems, real-
time advanced analytics, and cyber-physical production networks in sustainable smart …

Deep learning computer vision algorithms, customer engagement tools, and virtual marketplace dynamics data in the metaverse economy

S Hamilton - Journal of Self-Governance and Management …, 2022 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore deep
learning computer vision algorithms, customer engagement tools, and virtual marketplace …

Visual imagery and geospatial mapping tools, virtual simulation algorithms, and deep learning-based sensing technologies in the metaverse interactive environment

A Zauskova, R Miklencicova, GH Popescu - Review of Contemporary …, 2022 - ceeol.com
In this article, we cumulate previous research findings indicating that metaverse live
shopping and 3D immersive content develop on remote sensing technologies, spatial …

Addressing the COVID-19 crisis by harnessing Internet of Things sensors and machine learning algorithms in data-driven smart sustainable cities

N Lyons, G Lăzăroiu - Geopolitics, History, and International Relations, 2020 - ceeol.com
This paper analyzes the outcomes of an exploratory review of the current research on data-
driven smart sustainable cities. The data used for this study was obtained and replicated …