TY  - Type of reference 
TI  - Digital Transformation of the Industry: Business Knowledge Elicitation and Acceptability 
AU  - Ouassila Labbani Narsis
 
AU  - Christophe Nicolle 
AB  - Business processes digitalization is a crucial challenge for companies, providing the opportunity to enhance their efficiency, quality, and execution speed. This transformation cannot be fully achieved without a thorough mastery of individual expert knowledge, collaborative management, and knowledge formalization, as well as a complete adoption of new technologies. This paper proposes a methodological approach based on knowledge elicitation for the design of formal, consensual, and shared ontologies. A binomial analysis of the acceptability of digital technologies complements this process to better understand the requirements and concerns of experts and to propose appropriate solutions. The proposed approach is experimentally tested on industrial collaboration projects in the field of manufacturing (associating knowledge sources from multinational companies) and in the field of viticulture (associating explicit knowledge and implicit knowledge acquired through observation. 
DO  - 10.21494/ISTE.OP.2025.1299 
JF  - Open Journal in Information Systems Engineering 
KW  - Digital transformation, knowledge engineering, knowledge elicitation, ontology design, content analysis, binomial analysis, acceptability, Transformation numérique, ingénierie des connaissances, élicitation des connaissances, conception d’ontologie, analyse de contenu, analyse binomiale, recevabilité,  
L1  - https://openscience.fr/IMG/pdf/iste_roisi25v5nspe_2.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2025/06/4 
SN  - 2634-1468 
TT  - Transformation Numérique de l’Industrie : Élicitation des Connaissances Métier et Recevabilité 
UR  - https://openscience.fr/Digital-Transformation-of-the-Industry-Business-Knowledge-Elicitation-and 
IS  - Issue 1 
VL  - 5 
ER  -