Investment Location Selection based on Economic Intelligence and Macbeth Decision Aid Model

Abstract

In this paper, the authors present a case study that aims to apply some sound MCDM techniques in the case of Economic Intelligence (EI) and show how the use of strategic information may help deciders to choose among geographic locations in which they could settle their investments. In this regard, the authors propose a new method that uses the multi-criteria decision support of MACBETH to tackle this issue. This method is used to rank thirteen countries likely to be chosen for location in order of preference from good to unfavourable. The integration of the MCDM in Economic Intelligence (EI) permits to rank countries of the Mediterranean according to their territorial competitiveness obtained through the global scores computed by the aforementioned technique of MACBETH. The results obtained allow the authors to affirm that France and Morocco have favourable strategic assets to attract foreign investment.

Embedded Remote Group Environment Through Modification in Macbeth – An Application of Contractor’s Selection in Construction

“…Owing to several associated challenges in forming embedded group decision making, a single DM is responsible for the formulation of structure, identification of attributes, and the evaluation. These applications are found in computing human performance (Gurbuz, 2010), performance analysis in project management (Marques et al, 2011), project controlling and performance (Lauras et al, 2010), supply chain management (Clivillé & Berrah, 2012), technology selection (Tosun, 2017), solid waste landfill (Demesouka et al, 2016), business location selection (Bachrane et al, 2016), auditing predictive maintenance program (Bana e Costa et al, 2012), port performance (Madeira et al, 2012), power plant (Andrade et al, 2016), portfolio management (Lourenço et al, 2012), renewable energy (Ertay et al, 2013), and steam boiler selection (Kundakcı, 2019).…”