Spatial-temporal business partnership selection in uncertain environments

• Autor(a) principal: Arrais-Castro, Antonio
• Data de Publicação: 2015
• Outros Autores: Varela, Maria Leonilde Rocha, Ribeiro, Rita A., Putnik, Goran D.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/1822/50930
• topic: Spatial-temporal multi-criteria decision making; data uncertainty filtering; business partnerships; data fusion; Science & Technology

Small and Medium (SME) companies are facing growing challenges while trying to implement globalized business strategies. Contemporary business models need to account for spatial-temporal changeable environments, where lack of confidence and uncertainty in data are a reality. Further, SMEs are finding it increasingly difficult to include all required competences in their internal structures; therefore, they need to rely on reliable business and supplier partnerships to be successful. In this paper we discuss a spatial-temporal decision approach capable of handling lack of confidence and imprecision on current and/or forecast data. An illustrative case study of business' partner selection demonstrates the approach suitability, which is complemented by a statistical analysis with different levels of uncertainty to assess its robustness in uncertain environments.