A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale?
Stephen F. Carley (),
Nils C. Newman,
Alan L. Porter and
Jon G. Garner
Additional contact information
Stephen F. Carley: Georgia Tech
Nils C. Newman: Search Technology, Inc
Alan L. Porter: Georgia Tech
Jon G. Garner: Search Technology, Inc
Scientometrics, 2017, vol. 111, issue 3, No 48, 2077-2087
Abstract:
Abstract This study advances a four-part indicator for technical emergence. While doing so it focuses on a particular class of emergent concepts—those which display the ability to repeatedly maintain an emergent status over multiple time periods. The authors refer to this quality as staying power and argue that those concepts which maintain this ability are deserving of greater attention. The case study we consider consists of 15 subdatatsets within the dye-sensitized solar cell framework. In this study the authors consider the impact technical domain and scale have on the behavior of persistently emergent concepts and test which of these has a greater influence.
Keywords: Technical emergence; Technology space; Staying power (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2342-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2342-x
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-017-2342-x
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().