Marketing decisions using a SWOT-AHP approach

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dc.contributor.advisor Pellizzari, Paolo it_IT
dc.contributor.author Molkoska, Andrea <1995> it_IT
dc.date.accessioned 2021-04-12 it_IT
dc.date.accessioned 2021-07-21T07:45:39Z
dc.date.available 2021-07-21T07:45:39Z
dc.date.issued 2021-04-26 it_IT
dc.identifier.uri http://hdl.handle.net/10579/18888
dc.description.abstract In marketing one of the most fundamental things when creating a strategy is the decision-making process. The decision-making process is one of the most complex procedures based on personal views when prioritizing the given factors before concluding the best approach. When many factors are included, due to their qualitative nature it is often difficult to evaluate them and their importance in the process because of lack in quantitative weights. The SWOT analysis is one of the most used approaches in the marketing field when making strategic decision. Due to its simple and effective way to collect information about the four main elements (strengths, weaknesses, opportunities and threats), it is easy to perceive the market position of the company. However, the lack of quantitative data in this analysis makes the results potentially non consistent. The purpose of this paper is to discuss how the SWOT analysis can be improved when is also supported by the AHP model which generates quantitative weights and is prioritizing the strengths, weaknesses, opportunities and threats in the SWOT analysis. This type of combined approach can indicate that the consideration given to some of the factors is more important than others, meaning that when making decisions based on these findings the results can be drastically different and more efficient. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Andrea Molkoska, 2021 it_IT
dc.title Marketing decisions using a SWOT-AHP approach it_IT
dc.title.alternative Marketing decisions using a SWOT-AHP approach it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Global development and entrepreneurship it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2019-2020, sessione straordinaria LM it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 874342 it_IT
dc.subject.miur SECS-S/06 METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE 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 Andrea Molkoska (874342@stud.unive.it), 2021-04-12 it_IT
dc.provenance.plagiarycheck Paolo Pellizzari (paolop@unive.it), 2021-04-26 it_IT


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