Search for dissertations about: "thesis on assets management"
Showing result 1 - 5 of 99 swedish dissertations containing the words thesis on assets management.
-
1. Creating New Attention in Management Control
Abstract : The need to focus and economize on scarce attention is increasingly being acknowledged within management accounting and control literature. The aim of this study is to investigate how practitioners go about creating new concepts and measurements to induce attention towards new issues and as-pects of strategic importance for the organization. READ MORE
-
2. Mobile Device Strategy : A management framework for securing company information assets on mobile devices
Abstract : The problem addressed by this research is a demand for increased flexibility in access to organisational information, driven by the increasing popularity of mobile devices. Employees increasingly bring private devices to work (Bring Your Own Device, BYOD) or use work devices for private purposes (Choose Your Own Device, CYOD). READ MORE
-
3. Essays on Corporate Risk Management
Abstract : Companies spend a lot of attention and resources on something commonly referred to as ‘risk management’. Despite its apparent importance and intuitive appeal, corporate risk management is fraught with many difficulties, both on the conceptual and practical level. READ MORE
-
4. Life Cycle Costing in Road Planning and Management : A Case Study on Collision-free Roads
Abstract : Construction of infrastructure does not only mean large capital investments but also future costs to operate and maintain these assets. Decision making in planning and design of roads will impact the need of future operation and maintenance activities. READ MORE
-
5. Towards Next-Gen Machine Learning Asset Management Tools
Abstract : Context: The proficiency of machine learning (ML) systems in solving many real-world problems effectively has enabled a paradigm shift toward ML-enabled systems. In ML-enabled software, significant software code artifacts (i.e., assets) are replaced by ML-related assets, introducing multiple system development and production challenges. READ MORE