dc.creatorNicolas, Carolina
dc.creatorRojas Mora, Julio
dc.creatorValenzuela-Fernandez, Leslier
dc.date2020
dc.date2021-04-30T16:40:40Z
dc.date2021-04-30T16:40:40Z
dc.date.accessioned2021-06-14T22:08:25Z
dc.date.available2021-06-14T22:08:25Z
dc.identifierJOURNAL OF INTELLIGENT & FUZZY SYSTEMS,Vol.38,5405-5412,2020
dc.identifierhttp://repositoriodigital.uct.cl/handle/10925/3253
dc.identifier10.3233/JIFS-179633
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3301422
dc.descriptionThe aim of this study is to examine the incidence of economic activity on soft innovation in the mining sector. Through a global analysis of indirect incidents and using the theory of forgotten effects. Thus, the case of the mining industry in Chile was analyzed, given that it is one of the industries that contributes the most to GDP in Chile. The empirical study was carried out through the application of a structured survey towards three experts from the mining sector. In addition, the study concludes with evidence that oil price has a direct incidence on investments in mining and economic expectations, and indirectly in average income middle managers, market share of the company in the mining sector, and growth of imports and exports in the mining sector.
dc.languageen
dc.publisherIOS PRESS
dc.sourceJOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.subjectSoft innovation
dc.subjectmining industry
dc.subjectforgotten effects theory
dc.subjectmonte carlo method
dc.titleCausal relationships between economic activity and the mining industry in Chile
dc.typeArticle


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