Problems while Testing the Google Prediction Management Project - Case Study Example

The final aim of the case study was to reveal the problem and try to solve them and to try to find the answer that whether the GPM would actually work as a Google product in the market. It also aims to find if the product will be successful in the market.
Friedrich Hayek and the Iowa Electronic Markets had tried to harness this potential amount but had failed initially to implement this idea. The main problem identified in the employees was the lack of non-monetary motivation. The employees were not interested in earning extra money but wanted to be recognized in the organization. Thus the HR aspect of Maslow’s Hierarchy of Needs can be identified as one of the main issues in this case study. Another issue that cropped up was the high involvement of the employees in the prediction market that hampered the work output of the employees.
The report talks about the various issues found in the case study and how to suggest some solutions to solve these. In addition to that further suggestion for improvement have also been discussed.

The report is a case analysis based on the prediction market of Google. In the case study, there are several problems related to different domains of management and those have been identified in order to come up with a suitable solution. The different problems identified have been segregated into different parts pertaining to their respective domains such as marketing, finance, human resource, etc. In the end, each of the problems has been analyzed in order to find an appropriate solution for each of them. All these solutions have been discussed keeping in mind the success of Google Prediction Markets (GPM) as an effective product for the general public at large. The case study is an in-depth discussion of the Google Prediction markets from the origin of the idea and the implementation of the concept into a successful product.