Insertion of Emerging Countries Exports in Global Supply Chains

Julio Padilla; Christiam Mendez

doi:10.48132/hdbr.343

Authors

Julio Padilla University of Lima. Peru. https://orcid.org/0000-0001-9854-8936
Christiam Mendez University of Lima. Peru. https://orcid.org/0000-0001-5668-3806

DOI:

https://doi.org/10.48132/hdbr.343

Keywords:

Global Supply Chains, Analytics, International Business, Coffee Export Market

Abstract

The objective of this research is to create a reference model to help an emerging country prepare a strategic and tactical plan for its export potential using information from digital media. Countries’ economic planning has to evolve using current knowledge of international business and global supply chains—areas that dominate commerce in the world today. Linking the foreign trade approach and the supply chain approach for the model development allows structured planning of the insertion of a country’s companies into global supply chains and the reorientation of export sectors towards more sustainable benefits. The research demonstrates the possibility of applying and adapting knowledge from supply chain models to develop a model of global supply chain management supported by computerized tools designed from the perspective of suppliers. The modeling and planning of the coffee export chain in Peru illustrates this potential. The paper proposes the integration of two knowledge areas, international trade and supply chain management, to form a new field of interest. Knowledge in both areas is solid, but its integration across the two fields is not. Although there are several studies on this topic, very little has been achieved in terms of the creation of a reference model and even less in terms of the development of computerized support for adequate strategic and tactical planning.

Downloads

Download data is not yet available.

References

Byrum, J., Davis, C., Doonan G., Doubler, T., Foster, D., Luzzi, B., Mowers, R., Zinselmeier, C., Kloeber, J., Culhane, D., & Mack, S. (2016). Advanced Analytics for Agriculture Product Development. Interfaces, 5-17. https://doi.org/10.1287/inte.2015.0823 DOI: https://doi.org/10.1287/inte.2015.0823

Byrum, J. (2015). Agriculture: fertile ground for analytics and innovation. ORMS Today, 42(6), 28-31.

Castro, C., Gadea, E., Pedreño, A., Ramirez, A. (2017). The role of social and political coalitions on the development of the agro-export sector Coalitions: Murcian fruit and work in global agri-food production networks. Mundo Agrario, 18(37).

Closs, D. J. (2011). Designing a Global Supply Chain: opportunities and challenges. London: John Wiley & Sons. DOI: https://doi.org/10.1002/9781444316568.wiem06008

Craig, T. (2019) .Leaning on Lean International Supply Chain Management. Global Supply Chain. 18 February. Retrieved from http://globalsupplychainme.com/digital-issues/february-2019/

Craviotti, C., Palacios, P., & Soleno, R. (2010). Territorios y mercados globales: Las firmas agroexportadoras citrícolas del noreste. Mundo Agrario 10(20), 1 - 21.

Myerson, P. (2012). Lean supply chain and logistic management. New York: McGraw-Hill.

Narasimhan, R. (2012). Alternative relationships among integrative beliefs, time-based manufacturing and performance. International Journal of Operations and Production Management, 32(4), 496-524. DOI: https://doi.org/10.1108/01443571211223112

National Science Foundation. (2015). O. R. as a catalyst for engineering grand challenges. ORMS Today, 42(4), 22-26.

Parker, C., Ramdas, K., & Savva, N. (2016). Is IT Enough? Evidence fron a Natural Expermient in India's Agriculture Markets. Management Sciences, 69(9), 1-23. https://doi.org/10.1287/mnsc.2015.2270 DOI: https://doi.org/10.1287/mnsc.2015.2270

Tomas Hult, D. C. (2014). Global supply chain management: leveraging processes, measurements and tools for strategic corporate advantage. New York: McGraw-Hill.

UNCTAD, Geneva. (2013). Global Supply Chains: Trade and Economic Policies for Development Countries. New York & Geneva: United Nations.

Weintraub, A., & Romero, C. (2006). Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison. Interfaces, 36(5), 446-457. http://dx.doi.org/10.1287/inte.1060.0222 DOI: https://doi.org/10.1287/inte.1060.0222

Zhi-Qiang, W. (2010). A Web-based Agriculture Decision Support System on Crop Growth Monitoring and Food Security Strategies. Proceedings of the Third International Symposium on Computer Sciences and Computational Technology, 487-491.