Abstract

This paper develops and assesses a broad functional category approach to arriving at metrics for assessing technological progress. The approach is applied to three functional categories of information technology — storage, transportation and transformation by first building a 100 plus year database for each of the three functional categories. The results indicate generally continuous progress for each functional category independent of the specific underlying technological artifacts dominating at different times. Thus, the empirical results reported in this study indicate that the functional category approach offers a more stable and reliable methodology for assessing longer time technological progress trends. Therefore, this approach offers the promise of being more useful in technological forecasting for large-scale change even as its ability to forecast specific dominant technological trajectories has been compromised.

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