This thesis will address a problem concerning availability of information systems at an enterprise within the financial sector and its external suppliers, so called trusted third party. The information system resides on the internal network of the enterprise and must be available to both employees of the enterprise and the trusted third party simultaneously. This contradicts the company policy which disallows third parties access to the internal network. The HAVECA-model introduced in this thesis provides a framework of methods, each solving a sub problem identified in the model. The identified methods are hardening, verification, control and assurance, together supplying a method for continuously securing the internal network against a trusted third party.

States have sovereignty in deciding how to tax business profits. If two states wish to tax the same profit that belongs to the same taxpayer, double taxation will arise. The increasing number of multinational companies gives rise to double taxation problems and the states have to co-operate to find out how to avoid such problems. The OECD Model Tax Convention includes an article in how to determine the rights to tax business profits. This article has been a subject of discussion and a committee of the OECD has been working to develop a new article 7.The work in proposing this new article has had as its aim to reassure that the interpretations of this regulation is made in the same way.

The Trappan Model is one of the most implemented treatment programs for children who have experienced domestic violence. This study undertakes a wider evaluation of the model through a pilot study. The approach is both quantitive and qualitative. Theory as well as the Strengths and Difficulties Questionnaire have been used to fulfil the aim. The design is pre-post.

AbstractBuilding Information Model/Modeling/Management (BIM) is a tool that allows for efficient working methods. BIM saves time and money while providing the potential for visualization. This method of working is based on a 3D-model, and then a fourth and fifth dimension are connected. 5D modeling means that a spreadsheet creates cost estimates based on the 3D model. This provides opportunities to carry out calculations in the early stages of the projects. Calculations are currently performed manually and do not contribute to the development that the construction industry requires.

Rimaster Kisa AB is a member of the Rimaster Group, the corporation was bought from Samhall AB in January 2007. The corporation is producing mechanichs needed by the Rimaster group as well for external costumers. Samhall AB is now functioning as a provider of labor for Rimaster Kisa, as the company is hiring personnel from Samhall AB. The company has earlier have had problems with their lead times being far too long. This has resulted in that the management decided to invest in a new edging press.

AbstractRunning an individual bookstore is not an easy task. And then to do it in a profitable way is even harder.In this study you will read about what matters to the profitability in a bookstore. There are several aspects of this but it may be of interest to know what is affecting most of a bookstore's profitability.These three theories were researched by examination of previous research. The theories were then compared to the empirical research of an individual bookstore. Developing the empirical research qualitative and quantitative data collection methods was used.

Användaracceptans är en viktig del i alla systemutvecklingsprojekt och är också en väldigt lättpåverkad variabel för en lyckad implementering. Därför är det viktigt att ha översikt på sådana faktorer som kan påverka användaracceptansen negativt, en sådan faktor är försening. Denna uppsats belyser sammanhanget mellan hur en försening påverkar användaracceptansen. Genom att låta en undersökningsgrupp genomgå en enkät utformad efter Technology Acceptance Model har jag samlat upp en generaliserad åsikt. Resultaten visar att försening som variabel inte påverkar användaracceptansen för fallstudien..

An increasing number of applications are becoming more or less network based today.The traditional architecture for network based applications is client-server, but as usageof download services are going up, so is the Peer-to-Peer architecture. This report is acomparison between the Peer-to-Peer and client-server model, and can serve as a basiswhen a decision between them needs to be taken. In the report, the performancebetween the different architectures is compared in different contexts. Our basis is ageneral implementation of both architectures in a test that is derived from a previousreport. On top of this, the performance of the different architectures are measured,implemented in a gaming-context.

That many creative workers have uncertain and uneven incomes is well-established, but how or why they make a living is not. This paper examines the elusive value exchanges between creatives, buyers, consumers, and other economic supporters, and offers a model of how creatives make a living. By mapping income statistics of Swedish creatives together with in-depth interviews some patterns emerge. This, combined with Bourdieu's theories of social, cultural and symbolic capital, and Knorr's objects of sociality, forms a basis for a structured model of value exchange. The paper shows how creative workers create economic and non-economic capital (capitalization), how they advertise this capital (signaling), and how they convert between different types of capital (conversion) in order to make a living.

The work is performed at Forsmark Group AB as a final step in the Bachelor ofScience program in nuclear engineering at the University of Uppsala in 2013.The work is part of an ongoing process of streamlining project system model FKA.Streamlining the project model is an important aspect that affects all largecompanies that somehow have a project governing body when there is muchfinancial resources to save. Although the quality of the projects is positivelyaffected by efficiencyThe aim is to find possible common weaknesses and strengths of the project systemby interviewing a number of project managers, and using the systems in placeexamine the model.As part of the work also includes examining what project managers have to adjust tothe newly implemented system VPMM, and other newly introduced elements thathave been added to improve the efficiency in the futureProject System is a complex system that is influenced by many different parametersand participating individuals' attitude and personality. But then small changes in themodel could have major economic consequences.The thesis has generated results that show common weaknesses among the variousprojects and their project managers' general opinions about the project model. It alsopresents some possible solutions based on own thoughts and those interviewedobjects suggestions and comments..

The aim of this study is to examine whether the two factors SMB and HML in the Fama-French Three Factor Model proxy for default risk. The study is based on companies noted on the Stockholm Stock Exchange between 2003 and 2008. These companies are used to create the factors SMB and HML, as well as a default risk factor we call RMS. In a first set of regressions, we examine the explanatory power of the original Fama-French model on a set of portfolios consisting of Swedish companies of different size and book-to-market ratio. The default risk factor RMS is then added to the original Fama-French model.

There is a great need to reduce nutrient leaching from arable land into lakes and oceans. By using several different types of models it has previously been possible to describe nutrient losses in a catchment area with a minimum unit of sub-catchment level. At present, it is instead desirable to model a smaller catchment with an opportunity to re-connect the results to the corresponding fields in the catchment. Such models already exist but they are not fully able to properly describe Swedish conditions and land characteristics in our region.With the approach of creating such a model, SLU has developed a project with this work as its first stage. The model is expected to be created under the working name SWE-model which stands for Soil Water Environment and is in this first stage supposed to apply the SOIL model in catchment scale. During the procedure to describe the first step in the process of developing such a model adapted to Swedish conditions and which works in the catchment scale with an area of about 10-30 km2, focus has been set on calculating the transport of water flow from different hydrological response units. Regardless of the processes occurring in the soil after the water has been added, it is assumed that all the water which flows from each simulated unit is drained.In the first step the hydrologic response units were identified based on land use and soil type in the study area. With the help of a script with functions that retrieve and transform data, certain units were chosen for simulation. The script was also created in this project. Finally, the model results were aggregated and summarized for each unique unit, for each sub-catchment, and also for the whole catchment.From the results it is possible to see similarities in the flow dynamics between modeled and measured data. The efficiency coefficient has been calculated to correspond to the mean of the measured values for the whole simulation period. With an automated calibration process the model should be able to perform better. The volume error gives an indication of overestimation from the model..

The control of indoor temperature must be able to handle large time constants and both measureable disturbances like outdoor temperature, and non-measurable disturbances, like waste heat from appliances. Due to cheaper microcontrollers (small computers with designated tasks) with better performance, more advanced and computation-demanding methods for control can be used.In this thesis, Generalized Predictive Control (GPC) has been implemented and tested on a theoretically derived model of a house. GPC states that a model of the system is estimated in every sample, and the control is carried out simultaneously, based on predictions of the model. Disturbances like solar radiation can be estimated and used in the control as well. The control signals are determined by quadratic programming, which makes it possible to consider conditions, for example limitations on the control signals.GPC requires a number of parameters to be defined, like model order and control signal penalty, but is relatively robust for variations in them.

Bankruptcy is a problem for the society in form of high costs for including suppliers, customers, employees, investors, banks, insurance companies etc. The purpose of this study is to confirm or dismiss a bankruptcy prediction model that has been developed in a previous Swedish study, in order to predict bankruptcy with help of specific key figures. The model has only been tested in a larger perspective where the population consisted of all small firms in Sweden, in this study the model´s reliability is tested by that it instead been applied to a minor perspective, where the population only includes Stockholm. With a quantitative approach of 12 different key figures from a total of 60 Swedish smaller registered companies in Stockholm between the years 2005-2007, has been studied. The companies are divided into two groups, companies with good financial health and companies that have ended up in bankruptcy.The results shows that the model is applicable in a smaller population, but some of the key figures do not generate essential or any type of information about bankruptcy, but the majority of the key figures in the model did.

A frequently asked question in real estate marketing is at what time of the year it is optimal to invest or sell. The aim of the project was to answer this question and to generate a prediction model over real estate located in the centre of Stockholm that takes seasons into account. With acquired sales statistics in Stockholm between 2010 and 2013 it was possible to perform a linear least square regression, also known as Ordinary Least Square (OLS), with describing qualities and season of sale as parameters. Statistical problems such as Multicollinearity and Heteroskedasticity have been taken into account when deriving the model. The result was a highly accurate prediction model indicating the profitability of investing in real estate during the summer and selling during the autumn..