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Remembering correctly: A market opportunity analysis for a new forensic technology
Traveria i Esquerrà, David
Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses; Hellström, Tomas
Projecte final de carrera realitzat en col.laboració amb Lunds Universitet
Eyewitness misidentification is the main cause of wrongful convictions, and is mainly due to false memories and lacking police procedures. False memories can be said to have occurred when people believe they have seen or experienced an event that did not occur or, at least, not in the way they remembered. This is a common problem in witnessing crime. A group of researchers at Lund University developed a software implemented algorithm capable to detecting false memories. This algorithm is intended to be used as the core of a new product, a forensic technology, which the police can use to minimize eyewitness misidentification. The thesis first describes a generic theoretical framework to analyze a market opportunity for new product concepts. When applying this framework to this particular forensic technology, PEST analysis shows low influence of external factors, although uncertainty is fairly high. Porter's five force analysis suggests that the industry is less attractive due to high buyer's power, a large number of competitors and high rivalry. Finally, SWOT analysis shows an equilibrated number of positive and negative elements in both internal and external features. Therefore, in order to successfully enter the identified market, some issues must be addressed, such as the need of a viable prototyping process and an understanding of the ethical and public aspects of the technology. Two different strategies are proposed for market entry. The first one is a lead-user approach that seeks early consumer involvement of the, and the second is a cooperation/licensing strategy with integration of the technology into a pre-existing industry solution
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
Computer security
Forensic technology
PEST analysis
Seguretat informàtica
Attribution-NonCommercial-NoDerivs 3.0 Spain
Universitat Politècnica de Catalunya

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