Resumen
Anyone who has purchased a PC in the last 10 years knows the two basic results, the day after one buys a computer the price will drop and as soon as the person chooses a computer a faster model will be released. While these ownership options may seem painful at the time, one is consoled by noting that one will be able to buy faster, cheaper machines next year. But the real crux of the problem is how often one should buy a new computer and what level of machine one should purchase. Technological change and investment requirements driven by Moore's Law create patterns one can observe. As managers recognize, everyone faces the consequence of these trends when they purchase a computer. Should one wait? Should one buy a faster PC? Should one buy the cheapest computer available? The problem with answering these questions is that it is exceedingly difficult to estimate the need or demand for computers. Even on a broader scale, researchers have found it challenging to identify the business impact of computers and IT spending. The productivity debate illustrates these problems. Twelve basic strategies are created from hypothetical purchases of high, intermediate and base machines and holding them for 12, 24, 36, or 48 months. When the ownership time period is completed, a new machine is purchased at the same level. The objective is to evaluate these twelve strategies to see if the options can be reduced.