International market selection methodology for exporting cheese from Colombia

Jose Alejandro Cano, Jose Jaime Baena Rojas, Emiro Antonio Campo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This article aims to provide a quantitative methodology of easy implementation and understanding in order to support the international market selection (IMS). The proposed methodology allows weighing factors related to cost, logistics, trade barriers, and culture. In order to validate the proposed methodology, we study the international market selection for cheese from Colombia, and we apply a sensitivity analysis which tests the impact of these weights. In this sense, it is concluded that France is the most appropriate market followed by the Netherlands according to the weights assigned to the variables and factors.

Original languageEnglish
Title of host publicationProceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020
Subtitle of host publicationSustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth
EditorsKhalid S. Soliman
PublisherInternational Business Information Management Association, IBIMA
Pages3763-3772
Number of pages10
ISBN (Electronic)9780999855119
StatePublished - 1 Jan 2019
Event32nd International Business Information Management Association Conference, IBIMA 2018 - Seville, Spain
Duration: 15 Nov 201816 Nov 2018

Publication series

NameProceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth

Conference

Conference32nd International Business Information Management Association Conference, IBIMA 2018
Country/TerritorySpain
CitySeville
Period15/11/1816/11/18

Keywords

  • Exports
  • International market selection
  • Internationalization
  • Multi-criteria model

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