Spatial-temporal business partnership selection in uncertain environments

António Arrais-Castro, Maria Leonilde R. Varela, Rita A. Ribeiro, Goran D. Putnik

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)353-361
Number of pages9
JournalFME Transactions
Volume43
Issue number4
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Business partnerships
  • Data fusion
  • Data uncertainty filtering
  • Spatial-temporal multi-criteria decision making

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