Sarewitz-Nelson rules (for innovative choice and technology policy)
Isabel Almudi and
Francisco Fatas-Villafranca
Chapter 54 in Elgar Encyclopedia on the Economics of Knowledge and Innovation, 2022, pp 431-437 from Edward Elgar Publishing
Abstract:
The Sarewitz-Nelson rules (SN rules) and its systematic formulation, constitute an analytical tool to evaluate the potential degree of success of different technologies aiming to solve a problem. Therefore, the SN rules and its formal implementation, can be considered as a fundamental instrument for corporate choice and technology policy. Sarewitz and Nelson (2008a; 2008b) proposed the first version of the rules as a broad technology assessment heuristic. They were suggested from an implicit coevolution perspective involving interlinked bodies of technical practice and understanding. We denote the rules as (R1) the cause-effect rule; (R2) the standardized technical core rule; and (R3) the enlightening testability rule. For its systematic implementation, the SN rules have been formally discussed and made operational as an element of Schumpeterian catalytic research and innovation policies. The SN rules are hereby presented within a wider process of technology screening, choice and policy-making
Keywords: Business and Management; Economics and Finance; Innovations and Technology (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/view/edcoll/9781839106996/9781839106996.00059.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
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:elg:eechap:19760_54
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().