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

Autor:	Daim, Tugrul, Bukhari, Esraa, Bakry, Dana, VanHuis, James, Saadatmand, Mohammadsaleh, Yalcin, Haydar, Xialoi Wang
Předmět:	ELECTRONIC commerce SOFTWARE as a service TEXT mining DIGITAL technology CITATION analysis
Zdroj:	Proceedings of the 2017 International Annual Conference of the American Society for Engineering Management; 2019, p1-9, 9p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu