Seit September 2022 ist Dounia Chlyeh PhD-Doktorand:in unter der gemeinsamen Betreuung von Prof. Dr. Alexander Himme und Prof. Dr. Hanno Friedrich an der Kühne Logistics University. Ihr Forschungsbereich liegt auf der Entwicklung eines internen Leistungsmessungssystems zur Unterstützung von Strategien zur ökologischen Nachhaltigkeit in der Lebensmittelversorgungskette sowie auf der Verknüpfung nichtfinanzieller Kennzahlen zur ökologischen Nachhaltigkeit mit den Finanzkennzahlen dieser Unternehmen.
Dounia hat einen Bachelor of Science in Energiesystemtechnik von der Gazi-Universität in Ankara, einen Master of Arts in Management von der Ibn-Haldun-Universität in Istanbul und einen zweiten Master-Abschluss in REAP (Resource Efficiency in Architecture & Planning) von der HafenCity-Universität in Hamburg.
Während ihres Bachelorstudiums sammelte Dounia praktische Erfahrungen im Bereich Solarenergie, als sie bei verschiedenen Unternehmen arbeitete. Als wissenschaftliche Mitarbeiter:in veröffentlichte sie während ihres ersten Masterstudiums ihren ersten Artikel in einer renommierten Fachzeitschrift. Bevor sie zur KLU kam, arbeitete Dounia neben ihrem zweiten Masterstudium als PV-Berater:in und Projektmanager:in bei der PVI GmbH.
Contact
Education
| Since 2022 | PhD candidate at Kühne Logistics University, Hamburg, Germany |
| 2020 - 2021 | Master of Science in Resource Efficiency in Architecture & Planning, Hafencity University, Hamburg, Germany |
| 2018 - 2020 | Master of Arts in Management, Ibn Haldun University, Istanbul, Turkey |
| 2014 - 2018 | Bachelor of Science in Energy Systems Engineering, Gazi University, Ankara, Turkey |
| 2013 - 2014 | Diploma in Turkish Language C1, Gazi University, Ankara, Turkey |
| 2012 - 2012 | Cultural Exchange, Desert Mountain High School, Scottsdale, Arizona, USA |
| 2010 - 2013 | Baccalaureate Diploma in Physics / Chemistry, Abi Labass Sebti High School, Marrakesh, Morocco |
Professional Experience
| Since 2022 | Research Assistant, Kühne Logistics University, Hamburg, Germany |
| 2021 - 2022 | PV Consultant and Project Engineer, PVI GmbH, Hamburg, Germany |
| 2021 - 2021 | Research Assistant, Hafencity University, Hamburg, Germany |
| 2020 - 2020 | Copy Editor, International Journal of Research in Business and Social Sciences, Istanbul, Turkey |
| 2018 - 2020 | Research Assistant, Ibn Haldun University, Istanbul, Turkey |
| 2017 - 2018 | Solar Energy Engineer, Else Enerji, Ankara, Turkey |
| 2016 - 2018 | English Language Teacher, Netacademy Schools of English, Ankara, Turkey |
| 2016 - 2017 | Key Account Sales Manager, MENA Region, GoodWe Solar Inverters & Energy Storage Solutions, Izmir, Turkey |
Publikationen
Crafting and executing the best cryptocurrency mining strategy is vital to succeeding in cryptocurrency market investments. This study aims to identify the best cryptocurrency mining strategy based on service providers' performance for cryptocurrency mining using a hybrid analytics approach, which integrates the Analytic Hierarchy Process (AHP) and Fuzzy-TOPSIS techniques, along with sensitivity analysis. The results show that hosted mining is the overall best cryptocurrency mining strategy, followed by home mining and cloud mining, based on both total cost of operations and cryptocurrency payout criteria. The empirical findings also suggest that the critical features of the highest performing service providers (i.e., hosted mining strategies and cloud mining) were their flexibility of contracts and the superior efficiency in terms of the daily payout. Finally, of the three location alternatives for home mining, Turkey ranks first compared to the U.S. and Europe.
Solar energy is regarded as one of the most important and promising technologies in the field of renewable energies. Turkey has been one of the first countries to adopt solar energy and harness it in the last two decades. Many Turkish companies especially holdings started to invest in North Africa, either by expanding their operations there or through opening new branches and making alliances with the other countries concerned. This paper aims to identify the best North African country for a specific Turkish company to open a solar energy branch. The process involved Fuzzy TOPSIS multi-criteria decision making where criteria for selection of one of the countries has been collected from experts, and three decision-makers have been chosen to rate the criteria in terms of each alternative countries. Fuzzy TOPSIS analysis was chosen because of the level of uncertainty in this case study. Regardless of the data available concerning each criterion for all the alternative countries, there is still a certain level of ambiguity to overcome. The results of this study suggested that Algeria would be the best choice for this Turkish company to open up a new branch. The second best-fitting country would be Egypt followed by Libya while Morocco and Tunisia had the lowest ranking.




