Sökning: "Logistic"
Visar resultat 21 - 25 av 1732 uppsatser innehållade ordet Logistic.
21. Improving Seafood Waste Management in Västra Götaland, for a more environmental sustainable future
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Waste management has become a major concern around the world. The amount of waste is significantly growing, resulting in a negative impact on the environment. It is important to address this issue by managing waste effectively and reducing its environmental impact. LÄS MER
22. The effect of ESG-linked compensation on firms' ESG performance
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This study examines the effect of having an ESG-linked compensation plan on ESG performance. In addition to that, board characteristics effect on linking ESG metrics to CEO compensation plans have been examined. LÄS MER
23. Investigating the use of olfactory cues to re-direct African savannah elephant pathways. A potential conflict mitigation tool.
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : Human-elephant conflict resulting from, for example crop raiding behaviour, poses a significant threat to the conservation of African savannah elephants (Loxodonta africana). These conflicts can lead to fatalities in both humans and elephants. LÄS MER
24. Testing the Adaptive Market Hypothesis on the Swedish Stock Market - Empirical evidence between 1990-2019
Kandidat-uppsats,Sammanfattning : This study examines if the adaptive market hypothesis holds for the Swedish stock market between 1990 and 2019. We use Affärsvärldens Generalindex and test for time-varying return predictability by implementing a variance ratio test and an autocorrelation test. To track how market efficiency evolves over time we use a two-year moving subsample. LÄS MER
25. The Power of Credit Scoring: Evaluating Machine Learning and Traditional Models in Swedish Retail Banking
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : In this paper, we investigate and compare different credit scoring models, with special attention paid to machine learning approaches outperforming traditional models. We explore a recently proposed method called the PLTR model, which is a combination of machine learning and traditional logistic regression. LÄS MER