Neuroeconomic Models of Decision-Making
Over the past decade, there has been increasing evidence describing economic models of decision making, the neural processes underlying behavior, the deep structure of human preferences, and the regions of activation in the brain observed in judgment and decision making in economic contexts. The aim of the present study is to examine and evaluate the potential of neuroeconomics to help in constructing models of economic decision making, the neurobiological mechanisms that are responsible for making economic choices, and the psychological process of economic decision making.
Due to the tasks of the national energy saving policy and other reasons, the sales quantity of 2011 for traditional car shows a downward trend, after the rapid growth phase of 2009–2010. Comparatively, the new energy vehicles are more suitable for national energy reduction policies. The new energy vehicle industry should be the trend of the future development for the automobile industry. Therefore, a reasonable plan for state-owned new energy vehicle industry is quite important. This article developed an adaptive balanced scorecard knowledge-based system for industry strategic planning. This knowledge-based system also uses the partial least squares regression analysis to determine the specific strategy weights. So this adaptive BSC knowledge-based system can help providing recommendations for the industry development plan.