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- W2290466052 abstract "This research looked to find a structural model to forecast future global sales of DRAM 1Mb. Determining demand for a new high tech product that is replacing an older technology presents challenges to manufacturers and price setters. Understanding the market and where it is headed are necessary for decisions regarding manufacturing investments. The concept of the product lifecycle and the categories of adopters were explored to help understand where the market stood and what changes might be coming in the future. The structural model was created with aggregating the global DRAM shipments with the average memory content per electronic device. Data was obtained through inSpectrum, the IMF and the World Bank. Quarterly and monthly data for the period of January, 2006 to June, 2010 was used for the analysis. The goal was to see if price and income were the mitigating factors to predict demand of global DRAM. Through multiple regression analysis it was found that income held the strongest relationship to demand. Price was not a significant variable in the three computer device markets. Alternative indicators of price could be further studied to test for validity." @default.
- W2290466052 created "2016-06-24" @default.
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- W2290466052 date "2012-01-01" @default.
- W2290466052 modified "2023-09-28" @default.
- W2290466052 title "Analysis of the Major Movements of Prices in the Dynamic Random Access Memory (DRAM) Industry to Estimate Future Demand" @default.
- W2290466052 hasPublicationYear "2012" @default.
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