Artificial Intelligence in Small and Medium-Sized Enterprises: Requirements and Barriers

Rudolf Grünbichler*, Sergio Salimbeni

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Small and medium-sized enterprises (SMEs) are the backbone of the economy and in recent years have become the focus of several studies. To promote intelligent and sustainable growth, research and innovation projects are encouraged to create a favorable ecosystem. SMEs are generally adaptable and innovative in terms of their processes and products. Due to the continued competitive pressures that small organizations endure, they are gradually becoming more proactive when it comes to innovation. Digital technologies are changing society and the production sector, and Industry 4.0 (I4.0) marked a new era. The basic idea of I4.0 is automation and comprehensive connectivity, both vertical and horizontal, connecting machines, products and people throughout the entire value chain. Many SMEs began to implement technologies for smart and connected manufacturing and operation systems. The application of digital techniques to companies has had an important effect on the way of living and working. The use of artificial intelligence (AI), virtual reality and robots, among others, is generating different work modalities, and, therefore, education and training. That is why it is intended, from now on, that I4.0 focus on people and sustainability, which is beginning to be known as Industry 5.0 (I5.0). The aim of this work is to be able to answer two important questions: what obstacles to the implementation of AI face SMEs in the manufacturing sector and what requirements they must meet to adopt it. For this purpose, a bibliographic review and five qualitative studies were carried out in Argentina.

Original languageEnglish
Title of host publicationLatest Advancements in Mechanical Engineering - Proceedings of the 3rd International Symposium on Industrial Engineering and Automation ISIEA 2024
EditorsFranco Concli, Lorenzo Maccioni, Renato Vidoni, Dominik T. Matt
PublisherSpringer Science and Business Media Deutschland GmbH
Pages173-184
Number of pages12
ISBN (Print)9783031704642
DOIs
Publication statusPublished - 8 Oct 2024
Event3rd International Symposium on Industrial Engineering and Automation, ISIEA 2024 - Bolzano, Italy
Duration: 19 Jun 202421 Jun 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1125 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference3rd International Symposium on Industrial Engineering and Automation, ISIEA 2024
Country/TerritoryItaly
CityBolzano
Period19/06/2421/06/24

Keywords

  • Industry 5.0
  • Manufacturing
  • Qualitative survey

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Artificial Intelligence in Small and Medium-Sized Enterprises: Requirements and Barriers'. Together they form a unique fingerprint.

Cite this