What are the factors that influence the success of the BiSL framework for business information management?

Business Information Services Library (BiSL) is a framework from Dutch origin that helps organizations shape Business Information Management. BiSL is not used by every organization in the Netherlands. The question is what moves organizations to start using BiSL or what motives do they have to reject the use of BiSL. The research question in this study is: What motivates the adoption (or non-adoption) of the BiSL Framework? To answer this question 18 interviews were conducted. The interviews have been held with organizations that do use BiSL and with organizations that do not use BiSL. Among the interviews were three interviews with experts in the field of BiSL. The conclusion of our research is that organizational readiness is the deciding factor to Van Outvorst et al.use BiSL. To apply BiSL successfully there is a need of support, knowledge and a certain level of organizational maturity in business information management

Leveraging the Wisdom of the Crowds

Wisdom of the crowds is the idea that groups of people can collectively make wise decisions. Research suggests that these crowds can even outsmart experts. To gather the wisdom of the crowds, this project utilizes a prediction market. To successfully gather the wisdom of the crowds, a predictionmarket has to overcome serious challenges, such as gathering a large and active user base, and deciding on a fair initialmarket value. The main goal of the project is to create a prediction market that can overcome these challenges and successfully gather the wisdom of the crowds. Research has been done in the field of prediction markets. This process started with researching the theory behind prediction markets, the wisdom of the crowds. After that evaluating existing prediction markets and reviewing literature related to those markets was useful. Before and during the research phase, clear goals were set for the project, together with a clear set of requirements. These goals can be divided into: leveraging the wisdomof the crowd, solving problems associated with predictionmarkets and developing a product that is easily maintainable. The final product reaches the goals of the project and meets the requirements. The prediction market correctly aggregates the estimations of users on the market, and provides probabilities on real-world events. These probabilities are contained in the values on the market. The prediction markets solves the problems encountered on other prediction markets. The project makes use of gamification, an automated marketmaker and a reward system to correctly initialise market values. The system was thoroughly tested and developed with maintainability in mind.Computer Science and Engineerin