Effects of innovation management system standardization on firms: evidence from text mining annual reports

Gaizka Garechana, Rosa Río-Belver (), Iñaki Bildosola and Marisela Rodríguez Salvador
Additional contact information
Gaizka Garechana: University of the Basque Country UPV/EHU
Rosa Río-Belver: University of the Basque Country UPV/EHU
Iñaki Bildosola: University of the Basque Country UPV/EHU
Marisela Rodríguez Salvador: Tecnológico de Monterrey

Scientometrics, 2017, vol. 111, issue 3, No 43, 1987-1999

Abstract: Abstract Using a management formula to standardize innovation management can be thought of as deeply contradictory, however, several successful firms in Spain have been certified under the pioneer innovation management standard UNE 166002. This paper analyzes the effects that standardization has in the attitudes and values as regard to innovation for a sample of firms by text-mining their corporate disclosures. Changes in the relevance of the concepts, co-word networks and emotion analysis have been employed to conclude that the effects of certification on the corporate behavior about innovation are coincident with the open innovation and transversalization concepts that UNE 166002 promotes.

Keywords: UNE 166002; Innovation management; Text mining; Sentiment analysis; Management standards (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2345-7 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_s11192-017-2345-7

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

DOI: 10.1007/s11192-017-2345-7

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 ().