Sökning: "Advanced business development"
Visar resultat 1 - 5 av 130 uppsatser innehållade orden Advanced business development.
1. Mellan fri vilja och datadriven exploatering: En studie om drivkrafter, medvetenhet, makt och ansvar inom onlinecasinomarknaden
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : This essay examines the limits of marketing strategies in the online casino industry, focusing on how data-driven and advanced marketing practices influence consumer behavior and contribute to problematic gambling consumption. By observing the online casino industry, the study identifies how companies use sophisticated data analysis methods and psychological techniques to attract and retain customers, raising significant ethical and social issues. LÄS MER
2. Challenges for Artificially Intelligent Medical Devices in the Nordics and Suggested Strategies to Respond
Master-uppsats, Lunds universitet/InnovationsteknikSammanfattning : With aging populations, unequal access to care, and shortages of staff, healthcare systems today are facing many challenges. Technology advancements, with artificial intelligence (AI) in particular, have been one of the main drivers of innovation in multiple industries. LÄS MER
3. Supply Chain Transparency in the Scandinavian Automotive Industry
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : The automotive industry can be characterized as a highly competitive and dynamic landscape, where effective supply chain management practices are crucial for meeting consumer demands and ensuring sustainable operations. Transparency across the supply chain is vital for building trust and collaboration among supply chain stakeholders. LÄS MER
4. Barriers and Enablers for Repurposing Vehicle Components in Cross-Sector Collaborations : A Case Study of a Swedish Vehicle Manufacturer
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Sweden's economy is currently heavily dependent on a linear economy model, where raw material ultimately is discarded as waste. The linear approach is unsustainable for manufacturing companies in the long term. LÄS MER
5. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. LÄS MER