Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …

G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

Remote big data management tools, sensing and computing technologies, and visual perception and environment mapping algorithms in the Internet of Robotic …

M Andronie, G Lăzăroiu, OL Karabolevski… - Electronics, 2022 - mdpi.com
The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

[HTML][HTML] Business strategies and competitive advantage: the role of performance and innovation

I Farida, D Setiawan - Journal of Open Innovation: Technology, Market, and …, 2022 - Elsevier
This study aims to examine the effect of business strategies to improve the competitive
advantages of small and medium enterprises (SMEs). Further, our study considers the …

Impact of the covid-19 pandemic on online consumer purchasing behavior

S Gu, B Ślusarczyk, S Hajizada, I Kovalyova… - Journal of Theoretical …, 2021 - mdpi.com
With the spread of the COVID-19 pandemic and the increasing importance of e-commerce,
the study of online consumer behavior is of particular relevance. The purpose of this study …

Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

M Andronie, G Lăzăroiu, R Ștefănescu… - Oeconomia …, 2021 - ceeol.com
Research background: With growing evidence of consumer adoption of mobile shopping
apps, there is a pivotal need for comprehending Internet-enabled consumer devices in …

Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven …

G Lazaroiu, A Androniceanu, I Grecu, G Grecu… - Oeconomia …, 2022 - ceeol.com
Research background: With increasing evidence of cognitive technologies progressively
inte-grating themselves at all levels of the manufacturing enterprises, there is an …

[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 …

Big data management algorithms, deep learning-based object detection technologies, and geospatial simulation and sensor fusion tools in the internet of robotic …

M Andronie, G Lăzăroiu, M Iatagan, I Hurloiu… - … International Journal of …, 2023 - mdpi.com
The objective of this systematic review was to analyze the recently published literature on
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …

Machine intelligence and autonomous robotic technologies in the corporate context of SMEs: Deep learning and virtual simulation algorithms, cyber-physical …

M Nagy, G Lăzăroiu, K Valaskova - Applied Sciences, 2023 - mdpi.com
This study examines Industry 4.0-based technologies, focusing on the barriers to their
implementation in European small-and medium-sized enterprises (SMEs). The purpose of …

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 …