FORECASTING TECHNOLOGY TRENDS OF THE GAP BETWEEN SCIENCE AND TECHNOLOGY: THE CASE OF SOFTWARE AS A SERVICE E-COMMERCE

摘要

Identifying technology trends can be a key success factor for companies to be competitive and take advantage of technological trends before they occur. This paper uses text mining techniques along with expert judgment to detect and analyze the near-term technology evolution trends in a Software as a Service case study. The longer-term technology development trend in this case is forecasted by analyzing the gaps between science and technology. This paper contributes to forecasting technology methodology in software as a services technology..