Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/190701 
Year of Publication: 
2016
Citation: 
[Journal:] Journal of Innovation & Knowledge (JIK) [ISSN:] 2444-569X [Volume:] 1 [Issue:] 3 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2016 [Pages:] 133-143
Publisher: 
Elsevier, Amsterdam
Abstract: 
This article reports the process of building a fuzzy set scale in order to value workers participation and their learning through a technical improvement project in metallurgical plants. The process starts with a practical question which stems from workers: "How can we value our own participation in collective improvement project and the learning related to it?" Participation is structured in three subsets: participation in planning, in designing and in implementing the improvement project. These three subsets are aggregated in a global participation set. Learning is structured in two subsets: individual and group learning in the form of fuzzy inference system Mandami type. Participation (causal condition) constitutes a subset of achieved learning (the outcome), a sufficient but not necessary condition for the outcome. This subset relation is highly consistent providing support for the statement "participatory projects enable meaningful learning" between workers and organization.
Subjects: 
Workers participation
Collective learning
Fuzzy set
Knowledge sharing
JEL: 
D70
D83
J24
M10
O35
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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