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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Palomino, M.A. Taylor, T. McBride, G. Owen, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: Med. Sch., ECEHH, Univ. of Exeter, Truro, UK (Palomino, M.A.; Taylor, T.) || STFC Futures Programme, Rutherford Appleton Lab., Didcot, UK (McBride, G.) || Bus. Sch., Univ. of Exeter, Truro, UK (Owen, R.) |
| Abstract | Horizon scanning, the systematic search for information to identify potential threats, risks, emerging issues and opportunities, has become an increasingly important part of strategic decision making. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of Web-based information. Dedicated analysts responsible for scanning the horizon make frequent use of search engines to retrieve information. Regrettably, the results yielded by popular search engines are often inconsistent and redundant. Thus, post processing heuristics have to be employed to select the most relevant data. This paper focusses on the first steps of this process, and analyses the result counts provided by different search engine interfaces in response to a set of queries meant to gather information about new and emerging trends. |
| Starting Page | 53 |
| Ending Page | 57 |
| File Size | 255667 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769550701 |
| ISSN | 15294188 |
| e-ISBN | 9781479921386 |
| DOI | 10.1109/DEXA.2013.14 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Search engines Google Market research Engines Time series analysis Educational institutions Indexes horizon scanning search engine instability Web mining trend discovery and tracking |
| Content Type | Text |
| Resource Type | Article |
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