Sprint Radar: Community-Based Trend Identification

Denis Eser (), Kurt Gaubinger () and Michael Rabl ()
Additional contact information
Denis Eser: HYVE AG
Kurt Gaubinger: University of Applied Sciences Upper Austria
Michael Rabl: University of Applied Sciences Upper Austria

A chapter in Management of the Fuzzy Front End of Innovation, 2014, pp 275-280 from Springer

Abstract: Abstract The Austrian research and transfer center sprint focuses on the development and utilization of advanced methods of enhancing effectiveness and efficiency of the front end of innovation. Within the area sprint>lab, an online based trend collection system has been developed to identify future technological trends and developments in pre-defined clusters by merging and analyzing opinions of experts. To support this mentioned approach, a three-step procedure was implemented following the Delphi method. The first step focuses on the collection of trends from experts via an online-based collaboration platform. For this purpose, a web-based crowdsourcing tool called sprint>radar has been developed in cooperation with HYVE. In the next step, the analytical results of the trend collection phase are fed back to a selected group of experts, using a quantitative online survey. The experts are asked to evaluate the trends regarding their probability of occurrence and relevance. This interplay between evaluation and re-analysis continues until a consensus has been reached. Based on the results of this survey, strategy workshops are conducted, where experts from industry and academia discuss the impact of the trends identified on the field of interest.

Keywords: Delphi Method; Community Manager; Idea Management; Innovation Transfer; Future Workshop (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-01056-4_27

Ordering information: This item can be ordered from
http://www.springer.com/9783319010564

DOI: 10.1007/978-3-319-01056-4_27

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().