Detecting noise in decision making processes of a biotechnology startup

• Autor(a) principal: Schweitzer, Valerie
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.14/39216
• topic: Optimal decision making; Judgment errors; Noise; Bias; Erros de julgamento; Ruído; Viés; Domínio/Área Científica::Ciências Sociais::Economia e Gestão

This dissertation is about noise, which is a flaw in human judgment. When it comes to judgment errors, bias and heuristics are well-established fields of study. Noise, or decision scatter, is a relatively new area of research and hence deserves attention. The following paper will highlight whether and why noise exists in a young organization using a German biotechnology startup as an example. The study topics were investigated using exploratory research and in-depth interviews with every employee of the organization. As the results demonstrate, there are different kinds of noise in a startup. Although there is limited knowledge of the issue, the startup is very interested in incorporating it into the current development of decision-making frameworks. This thesis is, thus, a first step into a scarcely explored subject and suggests companies should increase their awareness of the topic to reduce noise and better serve their consumers.