Ion Razvan Radulescu (Author), Carmen Ghituleasa (Author), Emilia Visileanu (Author), Lilioara Surdu (Author), Ana Dias (Author), Paulo Ghezzo (Author), Andreja Rudolf (Author), Mirela Blaga (Author)

Abstract

The textile enterprises need adequate solutions to face the competition on the global market. Innovation leverages the enterprises competitiveness: however, improving innovation is a task of research providers in the field. The Knowledge Matrix for Innovation (KMI) represents an instrument for quantifying the intangible assets of a textile enterprise. Examples of intangible assets are: innovation strategy / culture, informational resources, training methodology, relationships portfolio, IP rights etc. By improving such factors of the KMI, the textile enterprises are going to improve their competitiveness. This main aim is tackled by the Erasmus Plus – VET Project “Matrix of knowledge for innovation and competitiveness in textile enterprises - TexMatrix” (2016-2018). The red line of the project follows the definition of the KMI, the adaptation of the Benchmarking questionnaire and its implementation on the e-learning Tool, the Benchmarking study by consulting of 50 textile enterprises at consortium level, supporting the Guide with new research and innovation management solutions for the enterprises and Blended courses for 95 young trainees, based on the Guide in e-learning format. The project also aims to counsel 100 decision-factors from textile enterprises on the new solutions comprised in the Guide, within 5 Workshops. The e-learning Tool has the URL address: www.advan2tex.eu/portal/ .

Keywords

inovacije;e-izobraževanje;e-študij;anketa;delavnice;innovation;e-learning;questionnaire;blended courses;workshops;VET;

Data

Language: English
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: UM FS - Faculty of Mechanical Engineering
UDC: 677:378
COBISS: 20636438 Link will open in a new window
ISSN: 2457-4880
Views: 997
Downloads: 85
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: inovacije;e-izobraževanje;e-študij;anketa;delavnice;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: Str. 211-2014
Volume: ǂVol. ǂ18
Issue: ǂno. ǂ1
Chronology: 2017
ID: 10861002
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