Patterns of innovation in knowledge-intensive business services
By Nabil Amara, Réjean Landry, David Doloreux. 2009
201 citations recorded by the source corpus.
Subfields: Management of Technology and Innovation, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/4169d95dc40c61ccc3d65d3c6a832b793728ec63
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management of Technology and Innovation
- Per Ola Kristensson
- Matthias Gotsch
- Lars Witell
- Christian Kowalkowski
- Christiane Hipp
- Daniel Kindström
- Per Carlborg
In Strategy and Management
- Christian Kowalkowski
- Per Ola Kristensson
- Matthias Gotsch
- Anders Gustafsson
- Lars Witell
- Christiane Hipp
- Hannah Snyder
- Daniel Kindström
Citations in the corpus
- The evolution of service innovation research: a critical review and synthesis (2014, background): “…regarding strategy and service innovation, innovation systems, and research policy also arose, as did the concept of business model innovation (Amara et al., 2009; den Hertog et al., 2010; Francis & Bessant, 2005; Maglio & Spohrer, 2008; Rubalcaba et al., 2010b; Toivonen & Tuominen, 2009;…”
- Product-service innovation and performance: the role of collaborative partnerships and R&D intensity (2019, unknown): “This limitation is especially important in R&D partnerships, as building innovation partnerships can be a long, costly process (Amara et al., 2009), and manufacturer-KIBS partnerships are unlikely to differ from other collaborative partnerships.”
- Identifying categories of service innovation: A review and synthesis of the literature (2016, background): “Further, Amara, Landry, and Doloreux (2009) suggest that service innovation is more multidimensional than innovation in manufacturing industries.”
- Measurement of innovation activities in the knowledge-intensive services industry: a trademark approach (2012, background): “In this way, they assist other firms in dealing with problems where external sources of knowledge are required (Amara et al., 2009; Miles, 2005).”