Modeling technology assessment via knowledge maps

Elan Sasson, Gilad Ravid, Nava Pliskin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Technology assessment (TAS) plays an important role prior to decision making about investments in existing and emerging technologies. The vast amount of data on the web has obviated the perception of using web search engine technology to look for information. However, relying on web search engines in search for relevant information to support TAS processes, decision makers face an abundance of data but are unable to screen noise or find hidden knowledge. This paper proposes a model to build knowledge-added concept map about a specific technology and the development of an underlying knowledge-mapping tool. The proposed knowledge maps are constructed on the basis of a novel method of co-word analysis based on webometric web counts. The approach is demonstrated and validated for a spectrum of information technologies. Results show that the research model assessments are highly correlated with subjective expert (n=136) assessment (r > 0.91), with inter-rater reliability scores being high as well (ICC > 0.92).

Original languageAmerican English
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
Number of pages10
StatePublished - 1 Jan 2014
Event47th Hawaii International Conference on System Sciences, HICSS 2014 - Waikoloa, HI, United States
Duration: 6 Jan 20149 Jan 2014


Conference47th Hawaii International Conference on System Sciences, HICSS 2014
Country/TerritoryUnited States
CityWaikoloa, HI

All Science Journal Classification (ASJC) codes

  • General Engineering


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