Innovation assessment in traditional industries. A proposal of aesthetic innovation indicators

Jorge Alcaide-Marzal () and Enrique Tortajada-Esparza
Additional contact information
Jorge Alcaide-Marzal: Universidad Politécnica de Valencia
Enrique Tortajada-Esparza: INGENIO (CSIC-UPV)

Scientometrics, 2007, vol. 72, issue 1, No 4, 33-57

Abstract: Abstract Innovative activities are fundamental to the competitiveness strategies of the firms in a globalized market. Their assessment, using indicators such as those utilized in the Community Innovation Survey (CIS), shows significant sectoral dispersion. Traditional industries are in a weak position because the innovation they are involved in is mainly aesthetic, which is not really addressed in innovation surveys. In this work, we review the various criticisms levelled at existing indicators and propose some new indicators that would capture the types of innovations that are conducted by the traditional industries. This work is based on a study of the features of traditional industries and the concept of aesthetic novelty. The proposed indicators are tested in the Spanish footwear industry.

Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-007-1708-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:72:y:2007:i:1:d:10.1007_s11192-007-1708-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-007-1708-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 ().