How Can Firms Appropriate Their Investments in Innovation Activities?
Tomasz Kijek ()
Additional contact information
Tomasz Kijek: Maria Curie-Sklodowska University
A chapter in Efficiency in Business and Economics, 2018, pp 89-98 from Springer
Abstract:
Abstract The present article tries to explain how firms appropriate their investments in innovation activities. Thereby, not only intellectual property rights, but also different informal appropriation mechanisms are analysed. The special attention is paid to interactions among various appropriation methods. For the empirical testing, a large dataset is employed. The sample of innovation active firms used in this analysis includes 2960 entities that were engaged in developing and/or implementing a product or process innovation in the years 2010–2012. The results show that firms in the sample indicate high effectiveness of informal appropriation methods while at the same time assessing formal appropriation methods as being of low effectiveness. Moreover, it appears that formal methods vary together. A similar situation holds for informal methods. The findings give evidence that the choice and effectiveness of the appropriation strategies were affected by the firm’s size, the type of innovation and the sector to which firms belonged.
Keywords: Innovation; Appropriability mechanisms; Intellectual property; Effectiveness (search for similar items in EconPapers)
Date: 2018
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:prbchp:978-3-319-68285-3_8
Ordering information: This item can be ordered from
http://www.springer.com/9783319682853
DOI: 10.1007/978-3-319-68285-3_8
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().