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This thesis explores how entrepreneurs in service-oriented micro and small enterprises (MSEs) make sense of digital tools and how these interpretations shape digital adoption decisions. While rationalist frameworks such as the Technology Acceptance Model (TAM), Diffusion of Innovations (DOI), and the Technology-Organisation-Environment (TOE) framework primarily explain adoption through technologic
Abstract Women entrepreneurs globally face gendered challenges rooted in the masculine image of the entrepreneur. This thesis explores how female entrepreneurs in Sweden navigate these challenges within entrepreneurial environments. Although Sweden is widely regarded as one of the world's most gender-equal countries, entrepreneurship continues to be shaped by gendered norms, expectations, an
Title: Empowered on Masculine Terms? Negotiating Femininity in Nike’s Empowerment Narratives Date of Seminar: 2026-06-04 Course: BUSN39 – Degree Project in Global Marketing – Master Level Authors: Klara Palklint, Johanna Östblom Supervisor: Daphne Geveke Keywords: Femvertising, empowerment, female empowerment, Nike, sports apparel, advertising, femininity Research questions: What empowerment narra
Generation Alpha, those born between 2010 and 2024, are becoming the largest generation of active consumers by 2040, yet their engagement with contemporary marketing strategies remains largely unexplored. This qualitative thesis examines how Gen Alpha's sense of self shapes their engagement with Limited Edition Co-Branding (LECB), addressing a gap at the intersection of identity formation, sca
Background and purpose: Breast cancer is the most common type of cancer among women in Sweden. The mortality can be significantly reduced if the breast cancer is detected at an early stage. Screening programs in Sweden are offered for all woman between 40-74 years, using conventional digital mammography (DM). Digital breast tomosynthesis (DBT) is superior to DM in terms of diagnostic accuracy, but
BACKGROUND AND PURPOSE The amino acid glutamate (Glu) is the primary excitatory neurotransmitter in human brain and is involved in both synaptic transmission as well as metabolic pathways. Dysfunction of glutamate concentration in the brain has been implicated in neurological diseases, such as epilepsy, Alzheimer’s disease, schizophrenia and essential tremor. Non-invasive detection of glutamate co
The last decades have seen great improvement in the treatment of children with brain tumours, 5-year survival has increased from 20% in 1950 to 80% in 2020. Current treatment can consist of a combination of surgery, chemotherapy and radiation therapy (RT). This improved chance of survival has placed increased focus on the quality of life of the survivors post treatment. RT increases the risk of ne
Magnetic resonance imaging (MRI) is a medical imaging modality that provides morphologi- cal and anatomical information about soft tissues. The development of new MRI methods, such as diffusion MRI (dMRI), has resulted in contrast mechanisms that further characterize the properties of tissue, such as microstructure. The development of a new contrast mechanism is typically associated with the deve
This study examines the experience of being a reconnecting sami, what that journey can look like and how it can be understood through a indigenous feminist, intersectional and decolonial framework. The purpose of the study is to interview people who can relate to this identification and ask them to tell their journey. Material was collected from four kind participants, from different backgrounds a
Editor's Statement for Public Art Dialogue 16:2
Cookbooks and menus have been powerful tools for organizing discourses about the proper meal. The culinary texts were mostly organized around the main source of proteins, often with meat in focus. Headings such as Red meat, White meat, Game, Fish and seafood, etc are examples of an hierarchic structure favouring the consumption of animals. Green dishes, if on the menu, were offered as side dishes
We present FACT, a method for predicting alignment quality (i.e., registration error) of registered lidar point cloud pairs. This is useful e.g. for quality assurance of large, automatically registered 3D models. FACT extracts local features from a registered pair and processes them with a point transformer-based network to predict a misalignment class. We generalize prior work that study binary a
Multiple interdependent properties govern the performance of ion-exchange membranes. Here, we demonstrate a polymer backbone design that allows a constrained local flexibility, suppressing excessive hydration while facilitating high hydroxide conductivity in poly(arylene piperidinium) anion-exchange membranes (AEMs). This structural design builds on a pair of diastereomeric arene monomers with vic
Microalgae, as photosynthetic organisms, are cultivated in photobioreactors for various industrial applications. Light intensity, a critical factor influencing their growth rate, is inherently nonuniform within photobioreactors. In regions distant from the illuminated surface, microalgae experience photolimitation due to insufficient photon availability, hindering optimal activation of the photosy
Modeling the evolution process for the growth of microalgae in an artificial pond is a huge challenge given the complex interaction between hydrodynamics and biological processes occurring across various timescales. In this paper, we consider a raceway, i.e., an oval pond where the water is set in motion by a paddle wheel. Our aim is to investigate theoretically and numerically the impact of botto
We propose to use Neumann–Neumann algorithms for the time parallel solution of unconstrained linear parabolic optimal control problems. We study nine variants, analyze their convergence behavior, and determine the optimal relaxation parameter for each. Our findings indicate that while the most intuitive Neumann–Neumann algorithms act as effective smoothers, there are more efficient Neumann–Neumann
We present new Dirichlet–Neumann and Neumann–Dirichlet algorithms with a time domain decomposition applied to unconstrained parabolic optimal control problems. After a spatial semidiscretization, we use the Lagrange multiplier approach to derive a coupled forward-backward optimality system, which can then be solved using a time domain decomposition. Due to the forward-backward structure of the opt
Dynamic light regimes strongly impact microalgal photosynthesis efficiency. Finding the optimal way to supply light is then a tricky problem, especially when the growth rate is inhibited by overexposition to light and, at the same time, there is a lack of light in the deepest part of the culture. In this paper, we use the Han model to study the theoretical microalgal growth rate by applying period
