Please use this identifier to cite or link to this item:
Title: Multi-criteria assessment of the company's location selection : a dynamic approach
Authors: Piwowarski, Mateusz
Miłaszewicz, Danuta
Łatuszyńska, Małgorzata
Nermend, Kesra
Keywords: Social responsibility of business
Industrial location -- Effect of labor market on
Industrial location -- Environmental aspects
Issue Date: 2019
Publisher: University of Piraeus. International Strategic Management Association
Citation: Piwowarski, M., Miłaszewicz, D., Łatuszyńska, M., & Nermend, K. (2019). Multi-criteria assessment of the company's location selection : a dynamic approach. European Research Studies Journal, 22(3), 215-230.
Abstract: Purpose: The aim of the study is to present multi-criteria Vector Measure Construction Method (VMCM), which enables the construction of aggregate measures, the creation of rankings, classifications and the investigation of change dynamics. Design/Methodology/Approach: The VMCM is used to build the measure (in dynamic terms) for the purpose of assessing the friendliness of EU countries in the context of supporting investors in the selection of locations for newly established enterprises. Findings: Not all multi-criteria methods give the opportunity to study the dynamics of change. The VMCM allows taking into account objects from outside the sample, which are better than the pattern (the measure is not limited, neither from the bottom nor from the top). Practical Implications: The solution proposed allows to assess the investment friendliness of individual country and compare countries (objects) with each other in different sections of time. Originality/Value: The VMCM allows to eliminate the limitations of the other multi-criteria methods in making rankings, classifications of objects and the analysis of the change dynamics.
ISSN: 11082976
Appears in Collections:European Research Studies Journal, Volume 22, Issue 3

Files in This Item:
File Description SizeFormat 
Multi-Criteria Assessment of the Company's Location Selection_ A Dynamic Approach.pdf1.31 MBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.