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Visar resultat 1 - 5 av 495 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Utilization of digital technologies in internationalization processes. A case study of high-tech SMEs in Sweden

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :Jakob Funck; Marcus Schöneman; [2024-02-13]
    Nyckelord :Digitalization; Internationalization; SME;

    Sammanfattning : This thesis explores the role of digitalization in the internationalization process of Swedish Small and Medium-sized Enterprises (SMEs). In today's global economy, digitalization has become increasingly important for firms to remain competitive. LÄS MER

  3. 2. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

    Master-uppsats, Lunds universitet/Graduate School

    Författare :Luis Felipe Villota Macias; [2024]
    Nyckelord :Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

    Sammanfattning : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. LÄS MER

  4. 3. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting

    Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Författare :Elie Roudiere; [2024]
    Nyckelord :Railway; Track geometry; Machine learning; Statistics; Predictive maintenance; Botniabanan; Järnväg; spårgeometri; maskininlärning; statistik; förebyggande underhåll; Botniabanan;

    Sammanfattning : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. LÄS MER

  5. 4. A type-driven approach for sensitivity checking with branching

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Daniel Freiermuth; [2023-10-24]
    Nyckelord :Computer; science; computer science; thesis; differential privacy; type system; sensitivity; branching;

    Sammanfattning : Differential Privacy (DP) is a promising approach to allow privacy preserving statistics over large datasets of sensitive data. It works by adding random noise to the result of the analytics. Understanding the sensitivity of a query is key to add the right amount of noise capable of protecting privacy of individuals in the dataset. LÄS MER

  7. 5. Circular economy of spare parts and data-driven analytics - “Unlocking Sustainable Value: Analyzing Buyback Policy Circularity Performance in Volvo Group’s Reverse Supply Chain - A Renault Trucks Case Study”

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Vladyslav Zahladko; [2023-07-20]
    Nyckelord :closed-loop supply chain; reverse logistics; buyback policy; circular economy; performance measurement; supply chain analytics;

    Sammanfattning : To address the current environmental challenges, companies are steadily shifting from a linear to a circular model in their daily operations. This process implies supplementing the traditional forward logistics with a reverse flow, enabling the reuse, remanufacturing, and recycling of existing products. LÄS MER