A New Concept of R&D in NEO Open Innovation : Transformation of R&D Triggered By Amazon
Tou, Y., Watanabe, C., Moriya, K., Vurpillat, V., & Neittaanmäki, P. (2019). A New Concept of R&D in NEO Open Innovation : Transformation of R&D Triggered By Amazon. International Journal of Managing Information Technology, 11(1), 17-35. https://doi.org/10.5121/ijmit.2019.11102
Date
2019Copyright
© Authors & AIRCC Publishing Corporation, 2019
Amazon was the world’s top R&D firm in 2017. Its R&D investment was double that of 2015, quintuple that of 2012, and tenfold that of 2011. It deploys a unique R&D model as conducting “routine or periodic alternations” and “significant improvement” simultaneously. Since traditionally the former is classified as non-R&D, Amazon’s rapid and notable increase has raised the question of a new R&D definition in the digital economy. By means of an empirical analysis of the Amazon’s R&D model, this paper attempted to provide a convincing answer to this question. Amazon has invested considerable resources in extremely innovative business areas, which has developed its assimilation capacity. In parallel with such forefront innovation, Amazon is endeavoring to absorb soft innovation resources from external markets and assimilate them into its business model. This then transforms “routine or periodic alternations” into “significant improvement”, leading to the company becoming the world’s top R&D firm. Such an endeavor has triggered a new concept of R&D in neo open innovation and revealed the significance of a transformation of the R&D concept in the digital economy.
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Publisher
AIRCC Publishing CorporationISSN Search the Publication Forum
0975-5926Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/33424938
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Research Council of FinlandFunding program(s)
Strategic research programmes, AoFAdditional information about funding
The research leading to these results is the part of a project: Platform Value Now: Value capturing in the fast emerging platform ecosystems, supported by the Strategic Research Council at the Academy of Finland [grant number 293446].License
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