Right of objection of the employee regarding the assignment of employment relation in merger & acquisitions and change of company's legal type
2020
0 views
0 downloads
Advisor: Prof. Dr. Gülsevil Alpagut
Abstract (EN)
Article 6 of Labor Code regulates the legal outcomes of workplace transfers. According to the article, in case of partial or whole transfer of the workplace with a legal transaction, transferring or the transferee employers cannot rescind the employment contract and also this situation doesn't constitute a justified reason for the employees for rescission. Law doesn't provide an objection right to the employees about the transfer of the employment relationship to the transferee employer in such cases. Article 178 of Turkish Commercial Code no. 6102 provides a right to the affected employees to object to the transfer of their employment relationship to the transferee employer in case of merger, split or transformation of commercial companies that constitute a workplace transfer. In this article we will try to establish the legal characteristics, usage and outcomes of right to object in Turkish Law in light of regulations regarding the employees' right to object in cases of workplace transfers in European Union Law and reference Swiss Law.
Author
Dr. Bahar Sür
Institution
How to Cite
Bahar Sür (Master Thesis). Right of objection of the employee regarding the assignment of employment relation in merger & acquisitions and change of company's legal type, 2020, İstanbul University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University
- In the covid 19 pandemic of female employees at a university hospital attitudes and affecting factors in nutrition of 9 months-6 years old children(2022)
- The perception of the right-wing movements in Turkey as to the 27 May Coup: 1960-1980(2020)
- Economic and social life in the Ottoman Empire according to the 1890 year's news of La Turquie Newspaper(2022)
- Land regime in the Umayyads period(2022)
- Merkel hücreli karsinomda tanısal ve prognostik belirteçler(2022)
- Use of machine learning methods in classification of respiratory system diseases(2021)