dc.contributor.advisor |
Massaro, Maurizio |
it_IT |
dc.contributor.author |
Sorgato, Francesca <1995> |
it_IT |
dc.date.accessioned |
2021-04-11 |
it_IT |
dc.date.accessioned |
2021-07-21T08:05:16Z |
|
dc.date.available |
2022-10-12T08:26:23Z |
|
dc.date.issued |
2021-05-03 |
it_IT |
dc.identifier.uri |
http://hdl.handle.net/10579/19337 |
|
dc.description.abstract |
In a world that is going through a disruptive and unpredictable crisis, due to the effect of the Covid-19 pandemic, companies should be able to monitor and anticipate potentially impactful trends and adapt their business accordingly. In particular, organizational ability to looking at the future by adopting a long-term view is defined as Corporate Foresight. The study of the future then is a necessary condition for business to survive in turbulent times and being innovative.
Adopting a content analysis methodology, academic papers and consulting reports have been reviewed and then codified in a computer-assisted qualitative data analysis software – in this case, Dedoose. The use of CAQDAS supported the drafting of the literature review by organizing data retrieved from texts; in particular, emerging trends have been coded in relation to their effects on the business models and then proposed in a synthetizing framework that discloses eight fashion trends of the future and their implications for businesses. |
it_IT |
dc.language.iso |
en |
it_IT |
dc.publisher |
Università Ca' Foscari Venezia |
it_IT |
dc.rights |
© Francesca Sorgato, 2021 |
it_IT |
dc.title |
Fashion trends of the future and implications on business models - A content analysis |
it_IT |
dc.title.alternative |
Fashion trends of the future and implications on business models - A content analysis |
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 |
2019-2020, sessione straordinaria LM |
it_IT |
dc.rights.accessrights |
embargoedAccess |
it_IT |
dc.thesis.matricno |
852708 |
it_IT |
dc.subject.miur |
SECS-P/07 ECONOMIA AZIENDALE |
it_IT |
dc.description.note |
|
it_IT |
dc.degree.discipline |
|
it_IT |
dc.contributor.co-advisor |
|
it_IT |
dc.provenance.upload |
Francesca Sorgato (852708@stud.unive.it), 2021-04-11 |
it_IT |
dc.provenance.plagiarycheck |
Maurizio Massaro (maurizio.massaro@unive.it), 2021-04-26 |
it_IT |