Grasp the Challenge of Digital Transition in SMEs--A Training Course Geared towards Decision-Makers

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Autor/inn/en	Azevedo, Américo; Almeida, António Henrique
Titel	Grasp the Challenge of Digital Transition in SMEs--A Training Course Geared towards Decision-Makers
Quelle	In: Education Sciences, 11 (2021), Artikel 151 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Almeida, António Henrique)
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2227-7102
Schlagwörter	Foreign Countries; Technology Integration; Barriers; Small Businesses; Competition; Training; Technology Uses in Education; Technological Literacy; Interdisciplinary Approach; Industry; Artificial Intelligence; Automation; Online Courses; Video Technology; Program Design; Decision Making; Teaching Methods; Skill Development; Educational Technology; Manufacturing Industry; Europe; Portugal + Suchen Sie Ihr Suchwort? Ausland; Kleingewerbe; Wettkampf; Ausbildung; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Technisches Wissen; Fächerübergreifender Unterricht; Fächerverbindender Unterricht; Interdisziplinarität; Industrie; Künstliche Intelligenz; Online course; Online-Kurs; Programme design; Programmaufbau; Programmplanung; Decision-making; Entscheidungsfindung; Teaching method; Lehrmethode; Unterrichtsmethode; Kompetenzentwicklung; Qualifikationsentwicklung; Unterrichtsmedien; Fertigungswirtschaft; Produzierendes Gewerbe; Europa
Abstract	Small and medium-sized enterprises (SMEs) in Europe risk their competitiveness if they fail to embrace digitalization. Indeed, SMEs are aware of the need to digitalize--more than one in two SMEs are concerned that they may lose competitiveness if they do not adopt new digital technologies. However, a key obstacle is related with decision-makers' lack of awareness concerning digital technologies potential and implications. Some decision-makers renounce digital transition simply because they do not understand how it can be incorporated into the business. Take into account this common reality, especially among SMEs, this research project intends to identify the skills and subjects that need to be addressed and suggests the educational methodology and implementation strategy capable of maximizing its success. Therefore, and supported by a focused group research methodology, an innovative training program, oriented to decision-makers, was designed and implemented. The program was conceived based on a self-directed learning methodology, combining both asynchronous lecture/expositive and active training methodologies, strongly based on state-of-the-art knowledge and supported by reference cases and real applications. It is intended that the trainees/participants become familiar with a comprehensive set of concepts, principles, methodologies, and tools, capable of significantly enhancing decision-making capability at both strategic and tactical level. The proposed programme with a multidisciplinary scope explores different thematic chapters (self-contained) as well as cross-cutting thematic disciplines, oriented to the Industry 4.0 and digital transformation paradigm. Topics related with Digital Maturity Assessment, Smart Factories and Flexible Production Systems, Big Data, and Artificial Intelligence for Smarter Decision-Making in Industry and Smart Materials and Products, as well as new production processes for new business models. Each thematic chapter in turn is structured around a variable set of elementary modules and includes examples and case studies to illustrate the selected topics. A teaching-learning methodology centered on an online platform is proposed, having as a central element, a collection of videos complemented by a set of handouts that organize the set of key messages and take-ways associated with each module. In this paper, we present the design and practice of this training course specifically oriented to decision-makers in SME. (As Provided).
Anmerkungen	MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. Tel: e-mail: indexing@mdpi.com; Web site: http://www.mdpi.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01