We consider a production planning problem under uncertainty in which companies have to make product allocation decisions such that the risk of failing regulatory inspections of sites and consequently losing revenue is minimized. In the proposed decision model the regulatory authority is an adversary. The outcome of an inspection is a Bernoulli-distributed random variable whose parameter is a fu...

risk and uncertainty in agricultural activities are being considered by agricultural producers as main obstacle in adopting new technologies and also mentioned as a hinder for the new agricultural investment. risk management is important and should be taken into account since uncertainty is inherent in the price and production as well as income of the farmers. in this paper, we study the role o...

Given entrepreneurs’ special role in the economic growth and development, many developed and developing countries are attempting to motivate more number of people who have entrepreneurial characteristics towards entrepreneurship and entrepreneurial activities. The purpose of this research was to study the effectiveness of entrepreneurship training courses in Ilam Province, Iran. In this researc...

the purpose of this study is to determine spatial dependency pattern of systematic risk of dry land wheat production in iran, using spatial autoregressive models. to this end, spatial weighted contiguity matrix was constructed based on the delaunay triangularization method, and correlation coefficient among these neighbors were estimated using spatial autoregressive models. in addition, the rol...

the presence of yield systematic risk in agricultural sector is one of the main reasons for facing this sector with huge damages and is one of the restricting factors in developing agricultural insurance in iran. this study explores the presence of systematic yield risk and the extent and severity of yield spatial dependence for apple production in iran. to this end, the apple production region...

We investigate the consistency and stability of individual risk preferences by slightly manipulating the cognitive resources of subjects through sleepiness. Participants are recruited and randomly assigned to an experiment session at a preferred time of day relative to their diurnal pr...

Can data mining tools be successfully applied to wagering-centric events like harness racing? We demonstrate the S&C Racing system that uses Support Vector Regression (SVR) to predict harness race finishes and tested it on one year of data from Northfield Park, evaluating accuracy, payout and betting efficiency. Depending upon the level of wagering risk taken, our system could make either high ...