Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges

L Oldemeyer, A Jede, F Teuteberg - Management Review Quarterly, 2024 - Springer
While the topic of artificial intelligence (AI) in multinational enterprises has been receiving
attention for some time, small and medium enterprises (SMEs) have recently begun to …

An overview on the use of AI/ML in manufacturing MSMEs: solved issues, limits, and challenges

V De Simone, V Di Pasquale, S Miranda - Procedia Computer Science, 2023 - Elsevier
Abstract Artificial Intelligence (AI) and Machine Learning (ML) represent popular topics of
Industry 4.0. The use of these techniques, which are evolving rapidly in both academia and …

[PDF][PDF] Machine learning software for optimizing SME social media marketing campaigns

WE Kedi, C Ejimuda, C Idemudia… - Computer Science & IT …, 2024 - researchgate.net
In today's digital era, social media has become an indispensable tool for businesses of all
sizes. For small and medium-sized enterprises (SMEs), social media marketing presents a …

How flexible are energy flexibilities? Develo** a flexibility score for revenue and risk analysis in industrial demand-side management

S Rusche, J Weissflog, S Wenninger, B Häckel - Applied Energy, 2023 - Elsevier
With rising and increasingly volatile energy prices, demand-side management (DSM) is
becoming attractive within industry to optimize flexible electricity demand and to remain …

Machine learning as a service cloud selection: An MCDM approach for optimal decision making

SG Bhol, S Mohanty, PK Pattnaik - Procedia Computer Science, 2024 - Elsevier
Abstract Machine Learning as a Service, MLaaS refers to cloud-based platforms that provide
machine learning tools and infrastructure to users, allowing them to access and utilize …

The impact of cloud computing adoption on firm performance among SMEs in Palestine: A machine learning approach

K Mousa, Z Zhang, E Sumarliah… - International Journal of …, 2024 - igi-global.com
This study seeks to identify the driving factors of cloud computing adoption (CCA) among
SMEs, and examines the extent to which CCA shape SME performance. Data was gathered …

Cloud Revolution in Manufacturing: Exploring Benefits, Applications, and Challenges in the Era of Digital Transformation

US Umar, ME Rana - 2024 ASU International Conference in …, 2024 - ieeexplore.ieee.org
This study investigates the profound impact of cloud computing on the manufacturing
industry, accentuating its potential benefits and versatile applications. The study …

NLP in SMEs for industry 4.0: opportunities and challenges

M Bourdin, T Paviot, R Pellerin, S Lamouri - Procedia Computer Science, 2024 - Elsevier
Abstract Natural Language Processing is the field of Computer Science that focuses on
analyzing and processing natural language, mainly human text or speech. Recent trends in …

[HTML][HTML] An Analysis of the Importance of Success Factors for Cloud Computing System Adoption in Vessel Traffic Service Systems

G Shin, Y Yoo, CU Song - Journal of Marine Science and Engineering, 2024 - mdpi.com
This study aims to identify the key success factors for the adoption of a cloud computing
system in vessel traffic service (VTS) systems and evaluate the relative importance of each …

Exploratory Review of Applications of Machine Learning for Small-and Medium-Sized Enterprises (SMEs)

NR Vajjhala - International Conference on Human-Centric Smart …, 2023 - Springer
Small-and medium-sized enterprises (SMEs) play a vital role in economic growth and
development. SMEs often face challenges when it comes to the adoption of new …