Explanatory Factors for Innovation in the Organic Agri-Food Sector: a QCA approach

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dc.contributor.advisor Mauracher, Christine it_IT
dc.contributor.author Moscan, Emma <1998> it_IT
dc.date.accessioned 2022-09-27 it_IT
dc.date.accessioned 2023-02-22T10:57:00Z
dc.date.available 2023-02-22T10:57:00Z
dc.date.issued 2022-11-03 it_IT
dc.identifier.uri http://hdl.handle.net/10579/22357
dc.description.abstract Starting in the 1930s, organic food products established themselves as a “radical discontinuity with the past”, later becoming a crucial example of eco-innovation. The organic agri-food industry has seen steady growth in the last decades, proving resilient even to critical economic shocks such as the recent Covid-19 pandemic. Starting from secondary data analysis, this thesis aims at identifying the different types of innovation that characterize the organic agri-food industry in the Veneto region and the explanatory conditions for subsequent innovations. To this end, two research methodologies were combined: coding (as illustrated in the Gioia Method) and Crisp-set Qualitative Comparative Analysis (csQCA), to highlight multiple conjunctural causations and further elaborate on organic agri-food companies' innovation. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Emma Moscan, 2022 it_IT
dc.title Explanatory Factors for Innovation in the Organic Agri-Food Sector: a QCA approach it_IT
dc.title.alternative Explanatory Factors for Innovation in the Organic Agri-Food Sector: a QCA approach it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Management it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2021-2022_appello_171022 it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 866618 it_IT
dc.subject.miur AGR/01 ECONOMIA ED ESTIMO RURALE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Emma Moscan (866618@stud.unive.it), 2022-09-27 it_IT
dc.provenance.plagiarycheck Christine Mauracher (maurache@unive.it), 2022-10-17 it_IT


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