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Showing result 1 - 5 of 16 essays matching the above criteria.

1. 1. Navigating Organizational Resistance Towards a Sustainable Shift : A case of bio-inspired innovation in the transportation and heavy construction industries

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Per-Emil Svensson; Louise Johansson; [2023]
   Keywords : Bio-inspired innovation; biomimicry; organizational resistance; sustainable product development; Bio-inspirerad innovation; biomimicry; organisatorisk tröghet;

   Abstract : Background: The world is facing environmental issues such as pollution, natural disasters, and climate change. A main cause of this is human activities such as urbanization and mining of materials. READ MORE

3. 2. Navigability of a Web Application : How different factors alter the perceived navigability of a web application focused on letting users rent out private belongings

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Tobias Johansson; Axel Eklund; Axel Schmid; Kajsa Gudmundson; Louise Andersson; Martin Sörme; Oscar Lundström; Victor Olofsson Bargues; [2023]
   Keywords : navigability; web application; e-commerce; navigerbarhet; webbapplikation; e-handel;

   Abstract : The primary aim of this study was to examine the effects of a web application’s navigability on user satisfaction. This was studied by developing a web application for the rental of pri- vate belongings such as tools, party equipment, outfits, et cetera. The study’s scope was hav- ing students at Linköping University as the target group. READ MORE

4. 3. From Linear to Circular : Navigating the Transition to Circular Business Models in the Fashion Industry

   University essay from Uppsala universitet/Företagsekonomiska institutionen

   Author : Louise Lång; Rebecka Hörndahl Johansson; [2023]
   Keywords : Circular economy; Circular business models; Challenges; Coping strategies; Fashion industry; Transition;

   Abstract : As more companies in the resource-intensive fashion industry start their transition journeys towards circular business models (CBMs), driven by social and regulatory pressures, understanding how companies navigate this transformative process is crucial. This thesis contributes to prevailing research by analysing the challenges faced by linear companies in the fashion industry when adopting more circular models through various initiatives, dividing them by the CBM they apply, and considering their corresponding solutions to these challenges. READ MORE

5. 4. “NO ESTAMOS VIVIENDO, ESTAMOS SOBREVIVIENDO”: A qualitative study of experiences of everyday life of young adult Cubans

   University essay from Göteborgs universitet/Institutionen för globala studier

   Author : Louise Bäckemo Johansson; [2022-08-23]
   Keywords : Cuba; Everyday life; grievability; precarity; precariousness; young adult Cubans; uncertainty; U.S. blockade; U.S. embargo; Covid-19 pandemic;

   Abstract : This thesis investigates how young adult Cubans describe their experiences of everyday life. The study situates itself in the timeframe of the Covid-19 pandemic and in light of the U.S. blockade towards Cuba, within a framework of Global Studies. READ MORE

6. 5. AUGMENTATION AND CLASSIFICATION OF TIME SERIES FOR FINDING ACL INJURIES

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Marie-Louise Johansson; [2022]
   Keywords : computer science; machine learning; motion analysis; reconstructed ACL; anterior cruciate ligament; time series forest; dynamic time wapring; ACL; multivariate time series clasification; MTSC; time series classification; TSC; euclidean barycentric average; euclidean barycentric averaging; autmentation of time series; augmentation of multivariate time series; data augmentation; augmentation;

   Abstract : This thesis addresses the problem where we want to apply machine learning over a small data set of multivariate time series. A challenge when classifying data is when the data set is small and overfitting is at risk. Augmentation of small data sets might avoid overfitting. READ MORE