A business plan is a document presenting in a concise form the key elements describing a perceived business opportunity. It is used among others as a tool for evaluating the feasibility and profitability of a project. In this paper, we study the relationship between business plan quality and venture success. In particular, a classification method using the information from the business plan is used in order to predict the success or the failure of each project. The classification method presented in this paper is based on a linear piecewise approximation method known as Locally Pruned Lazy Learning Model.
Affiliations
Helsinky University of TechnologyNeural Networks Research Center
Sorjamaa, A., Lendasse, A., François, D., & Verleysen, M. (2004). Business plans classification with locally pruned lazy learning models. Proceedings of ACSEG 2004, p. 112-119. https://hdl.handle.net/2078.5/226190