Incoterms in practice: hidden risks : case study Glaston Finland Oy
Seredyuk, Victoria (2017)
Seredyuk, Victoria
Tampereen ammattikorkeakoulu
2017
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2017112317882
https://urn.fi/URN:NBN:fi:amk-2017112317882
Tiivistelmä
This bachelor’s thesis raises concerns about hidden risks when International Commerce Terms are used in practice. Incoterms users often forget about the rules imperfection in the form of limitation and complexity and do not recognize the influence of the chosen delivery term. Therefore, Incoterms are not considered as a source of hidden risks in risk management programs.
This thesis is commissioned by a Finnish company called Glaston Finland Oy to find out if Incoterms are a cause of errors in delivery projects. This project is called a case study.
Literature study and situation analysis were conducted in order to find the answer. By studying how the terms suppose to work and how they have been applied in the company, the suspicion was proved, and hidden Incoterms related risks were identified. A few suggestions on what could be done to minimize negative effect of the risks are given.
While analyzing the current situation, a mixed approach was selected to take advantage of available data and build the full picture. Statistical treatment of data by creating frequency tables and figures supported the case study via showing trends in Incoterms application.
This thesis is commissioned by a Finnish company called Glaston Finland Oy to find out if Incoterms are a cause of errors in delivery projects. This project is called a case study.
Literature study and situation analysis were conducted in order to find the answer. By studying how the terms suppose to work and how they have been applied in the company, the suspicion was proved, and hidden Incoterms related risks were identified. A few suggestions on what could be done to minimize negative effect of the risks are given.
While analyzing the current situation, a mixed approach was selected to take advantage of available data and build the full picture. Statistical treatment of data by creating frequency tables and figures supported the case study via showing trends in Incoterms application.