@masterthesis{Saberi, type = {Bachelor Thesis}, author = {Saberi, Sabiha}, title = {Governance of Global Value Chains in the Garment Industry: The Bangladesh Fire and Building Safety Accord}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-18072}, school = {Hochschule Rhein-Waal}, pages = {80}, abstract = {Global Value Chain (GVC) is a process where production takes places in different countries for different stages. Many of the scholars have argued that social upgrading and economic upgrading is connected as a result of Global Value Chain. This paper is built on the concept of Global Value Chain (GVC) in terms of social upgrading. There will be discussion on the fire incident of "Tazreen Fashion" and another consecutive disaster named as "Rana Plaza Tragedy" and the aftermath of International Labor Organization intervention resulted in "The Bangladesh Accord: Fire and Building safety". GVC upgrading framework approach and the link between framework and the Accord helps to understand the governance. The Accord analyzed as GVC upgrading tool and addresses the shortcomings of inspection and transparency issues. The paper aims at explain how much the accord has been conducted using GVC upgrading framework. This paper draws a conclusion by analyzing from publicly available secondary data. This paper tries to answer the progress rate of the investigation using descriptive statistics and testing hypothese. The paper aims to shed a light on it and suggests insight after the expiration of the Accord in 2021.}, language = {en} } @misc{Cremer, type = {Master Thesis}, author = {Cremer, Luca}, title = {Opportunity and Risk. A critical Assessment of the Ethics of Artificial Intelligence}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-18656}, school = {Hochschule Rhein-Waal}, pages = {78}, abstract = {The literature review at hand addresses the following research question: "Does artificial intelligence and its future development potentially pose a significant threat to individuals' well-being and humanity's ethical values?". For providing answers to the topic at hand, three hypotheses are investigated in detail out of which H0: "Artificial intelligence does pose a significant potential threat to individuals well-being and humanity's ethical values." is accepted in accordance with evaluation of findings gathered from 121 sources overall. Threats of artificial intelligence were identified in overall five fields of application, namely medical science, transport industry, potential militarization, surveillance as well as in interaction of artificial intelligence with consumers, for which the natural language processing model ChatGPT was investigated. Regarding medical sciences, threats include potential dehumanization effects through care robots equipped with artificial intelligence. In the transport industry, multiple issues may arise with autonomously operating vehicles while in potential military application of artificial intelligence, research is conducted in multiple countries. Regarding surveillance, artificial intelligence severely facilitates the implementation of social credit systems, as for instance seen in China. Additionally, human nature is embedded in the context of continuous development of artificial intelligence with aim of establishing a first approximation to guidelines of potentially needed limitations of further development of artificial intelligence. It is concluded that, for implementing specific limitations on development of artificial intelligence, more research is needed for identifying the most suitable approach of limiting further development of artificial intelligence.}, language = {en} } @masterthesis{Bayrak, type = {Bachelor Thesis}, author = {Bayrak, Onur}, title = {Monetary policy and its impact on exchange rates and foreign trade in T{\"u}rkiye within the last decade}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-17090}, school = {Hochschule Rhein-Waal}, pages = {62}, abstract = {After having overcome the effects of the Global Financial Crisis quickly, the price stability in T{\"u}rkiye has deteriorated. In line with an expansionary course, the value of the Turkish lira depreciated and price levels started rising. Therefore, this paper will focus on the impact of monetary policy on exchange rates and foreign trade in T{\"u}rkiye since 2012. For this purpose, the Mundell-Fleming model is introduced, which is a short-run macroeconomic model that assesses the effects of fiscal and monetary policies under different exchange rate regimes. Aggregated macro data on different indicators, which are representing key variables, is analyzed by using descriptive analysis. The empirical results were interpreted and discussed in line with the underlying model. The main findings of the paper suggest that Turkish monetary policy had a negative impact on exchange rates and thus on trade, especially since 2017 after the change of governmental system.}, language = {en} }