<p>Biovitrumis is one of the larger biopharma companies in Euprope and conducts research in different niche areas. One of the interested areas for Biovitrum is Exocrine Pancreatic insufficiency. Biovitrum has a candidate drug (product D) in early development process for treatment of. Exocrine Pancreatic Insufficiency.</p><p>The Drug development is a long, complicated and costly process. Therefore, it is very important for managers to know the commercial value of a future drug. The purpose of this report is to develop a model for evaluation of candidate drug in early development phase and analysis of market potential for product D for treatment of Chronic pancreatitis. Chronic pancreatitis is disease within sub group of Exocrine Pancreatic Insufficiency.</p><p>The deductive reasoning approach and quantitative data is used in this report. Only secondary data is collected for this study. The sources of secondary data are research papers, Google Pub-Med database and consultant companies.</p><p>A new model is developed for evaluation of candidate drug .This model can analyse the market potential, unmet medical need, and calculate net present values. This study shows that there is unmet medical need in chronic pancreatitis. The result also shows that product D has comparative advantages over present products in the market and future competitors. The product D can full fill the unmet medical need for treatment of Chronic pancreatitis</p>

Biovitrumis is one of the larger biopharma companies in Euprope and conducts research in different niche areas. One of the interested areas for Biovitrum is Exocrine Pancreatic insufficiency. Biovitrum has a candidate drug (product D) in early development process for treatment of. Exocrine Pancreatic Insufficiency. The Drug development is a long, complicated and costly process. Therefore, it is very important for managers to know the commercial value of a future drug. The purpose of this report is to develop a model for evaluation of candidate drug in early development phase and analysis of market potential for product D for treatment of Chronic pancreatitis. Chronic pancreatitis is disease within sub group of Exocrine Pancreatic Insufficiency. The deductive reasoning approach and quantitative data is used in this report. Only secondary data is collected for this study. The sources of secondary data are research papers, Google Pub-Med database and consultant companies. A new model is developed for evaluation of candidate drug .This model can analyse the market potential, unmet medical need, and calculate net present values. This study shows that there is unmet medical need in chronic pancreatitis. The result also shows that product D has comparative advantages over present products in the market and future competitors. The product D can full fill the unmet medical need for treatment of Chronic pancreatitis

Consumer decision behavior has been an interesting research topic for researchers and marketing people. While E-Commerce websites and online self-service are becoming more and more popular, it is important to understand how to support consumer in their online shopping decision process. The purpose of this research is to understand how consumer¡¦s decision behavior would be influenced in online shopping environment, when facing different product price and complexity, and discover the personal factors that might influence it¡¦s decision behavior. The result of our research showed that product complexity has significant influence on consumer¡¦s decision behavior. When product complexity become higher, the effort and time for a consumer to complete a purchase decision will also become higher. When consumer is more familiar with the product, more involve with the product, or have higher computer self-efficacy, consumer will use much harder decision tools then usual. But our result also showed that product price has no influence on consumer¡¦s decision behavior, this might be that in our experiment, consumers don¡¦t really have to pay for the product, so the influence of product price has no effect on consumer. From our result we can know that for different product complexity and consumer will result in different decision behavior. In the future, online shopping store can provide different decision tools for different consumer when facing different products, to help consumer make better decision.

In this dissertation we seek to identify ways in which the systems development life cycle (SDLC) can be augmented with improved software engineering practices to measurably address security concerns that have arisen relating to security vulnerability defects in software. By proposing a general model for identifying potential vulnerabilities (weaknesses) and using runtime monitoring for verifying their reachability and exploitability during development and testing reduces security risk in delivered products. We propose a form of contract for our monitoring framework that is used to specify the environmental and system security conditions necessary for the generation of probes that monitor security assertions during runtime to verify suspected vulnerabilities. Our assertion-based security monitoring framework, based on contracts and probes, known as the Contract-Based Security Assertion Monitoring Framework (CB_SAMF) can be employed for verifying and reacting to suspected vulnerabilities in the application and kernel layers of the Linux operating system. Our methodology for integrating CB_SAMF into SDLC during development and testing to verify suspected vulnerabilities reduces the human effort by allowing developers to focus on fixing verified vulnerabilities. Metrics intended for the weighting, prioritizing, establishing confidence, and detectability of potential vulnerability categories are also introduced. These metrics and weighting approaches identify deficiencies in security assurance programs/products and also help focus resources towards a class of suspected vulnerabilities, or a detection method, which may presently be outside of the requirements and priorities of the system. Our empirical evaluation demonstrates the effectiveness of using contracts to verify exploitability of suspected vulnerabilities across five input validation related vulnerability types, combining our contracts with existing static analysis detection mechanisms, and measurably improving security assurance processes/products used in an enhanced SDLC. As a result of this evaluation we introduced two new security assurance test suites, through collaborations with the National Institute of Standards and Technology (NIST), replacing existing test suites. The new and revised test cases provide numerous improvements to consistency, accuracy, and preciseness along with enhanced test case metadata to aid researchers using the Software Assurance Reference Dataset (SARD). / Graduate

This dissertation is focused on assessment of ZZN Pomoraví company. The theoretical part of the thesis discusses the basic approaches of assessing a company and describes particular methods used in this process. The practical part of the thesis deals with the assessment of the particular company based on previous strategic and financial analysis.