Sökning: "Business Logistic"

Visar resultat 1 - 5 av 265 uppsatser innehållade orden Business Logistic.

1. 1. Är logistikföretagens CSR-rapportering ett verktyg för att signalera uppriktigt ansvar eller ett tecken på greenwashing?

   Kandidat-uppsats, Högskolan i Gävle/Avdelningen för ekonomi

   Författare :Paulina Borg; Natalie Grossmann; [2024]
   Nyckelord :CSR-reporting; ESG; greenwashing; logistic; signaling; CSR-performance; CSR-rapportering; ESG; greenwashing; logistik; signalering; CSR-prestation;

   Sammanfattning : Titel: Är logistikföretagens CSR-rapportering ett verktyg för att signalera uppriktigt ansvar eller ett tecken på greenwashing?  Nivå: Examensarbete på grundnivå (kandidatexamen) i ämnet företagsekonomi  Författare: Natalie Grossmann och Paulina Borg Handledare: Jan Svanberg Datum: 2024 - Januari Syfte: Corporate Social Responsibility (CSR) är en central fråga till följd av den globala klimatkrisen och en ökad medvetenhet bland intressenter, där logistiksektorn i synnerhet står inför betydande utmaningar. Syftet med studien är att undersöka sambandet mellan CSR-prestation och CSR-rapportering för logistikföretag utifrån ett signalerings- respektive greenwashing perspektiv. LÄS MER

3. 2. GOVERNANCE BEYOND BORDERS The Extraterritorial Reach of OECD National Contact Points for Responsible Business Conduct

   Master-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

   Författare :Mirja Sund; [2023-06-20]
   Nyckelord :Business and human rights; Non-judicial mechanisms; Extraterritoriality; OECD Guidelines for Multinational Enterprises; OECD National Contact Points;

   Sammanfattning : As increasingly powerful actors in a globalised world, multinational corporations are often able to evade responsibility for human rights violations and other misconduct occurring in their own operations or supply chains. Since courts face limitations when attempting to exert jurisdiction outside of their state territories, state-based non-judicial mechanisms such as the OECD National Contact Points (NCPs) have been established to fill this gap by mediating between corporations and victims of corporate human rights abuses with the aim of providing remedy to the latter. LÄS MER

4. 3. Failure Probability and Lifetime Estimation for Industrial Robots : A Logistic Regression and Lifetime Analysis Approach

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Erik Fahlbeck Carlsson; Martin Herbert; [2023]
   Nyckelord :Lifetime Analysis; Logistic regression; Prediction; Lifetime estimation; Industrial robots; Livslängdsanalys; Logistisk regression; Prediktion; Livslängdsestimering; Industriella robotar;

   Sammanfattning : The ability to handle and process data for information extraction is getting more and more important. Using extracted data from the business to improve productivity is seen as an important part in developing the business processes. In this thesis, industrial robots and their survival times are analyzed. LÄS MER

5. 4. The Moderating Role of Employee Skill on the Relationship between R&D Intensity and Firm Performance

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Devansh Sharma; Wanni Arachchige Ishan Asiri Kumara; [2023]
   Nyckelord :Research Development; Return on Assets; Market Capitalization; Employee Training; Employee Productivity; Business and Economics;

   Sammanfattning : This paper investigates the moderating effect of employee skill, as measured by employee productivity and training, on the relationship between R&D spending, measured as R&D intensity, and firm performance, measured as ROA, for the accounting-based standard, and market capitalization, for the market-based standard. The study employs a hierarchical Pooled OLS logistic regression and a Fixed Effects regression model, to account for the structure of the panel data. LÄS MER

7. 5. Predicting the Movement of the S&P 500 Index using Machine Learning

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Författare :Bakary Bah; [2023]
   Nyckelord :Machine Learning; S P 500 Index; Random Forest; Logistic Regression; Business and Economics;

   Sammanfattning : Predicting the stock market has been a longstanding topic of interest in financial research. It is regarded as a highly challenging but important task given the vital role the financial markets play in shaping the global economies. In this thesis, the goal is to predict the movement of the S&P 500 Index using machine learning methods. LÄS MER