Search results for "attractiveness factors"
showing 2 items of 2 documents
Greenfield FDI attractiveness index: a machine learning approach
2022
Purpose This study aims to propose a comprehensive greenfield foreign direct investment (FDI) attractiveness index using exploratory factor analysis and automated machine learning (AML). We offer offer a robust empirical measurement of location-choice factors identified in the FDI literature through a novel method and provide a tool for assessing the countries' investment potential. Design/methodology/approach Based on five conceptual key sub-domains of FDI, We collected quantitative indicators in several databases with annual data ranging from 2006 to 2019. This study first run a factor analysis to identify the most important features. It then uses AML to assess the relative importance of…
Le sens du regard Contribution sémiotique à la technique de l'eye-tracking face aux packagings produits
2009
International audience; This work is presenting a semiotic point of view of a promising but problematic tool of the communication field -eye-tracking- which is used in various fields to track and exploit the eye-path on an object. Drawing form a list of eye-paths on various packagings, the first step of the analysis was the identification without theoretical a priori- of fixed patterns in these paths. Several models can then be inferred on how the order of acquisition of the elements of an image or a pack might have an influence on the construction of their overall meaning.; Ce travail propose un point de vue sémiotique sur un outil du champ de la communication prometteur mais problématique…