Knowledge creation in patent ecosystems : insights from Singapore
Purpose: This paper aims to better understand how codified knowledge that originates in organizations contributes to the generation of idiosyncratic knowledge embedded at a more expansive level, such as that of an ecosystem. In doing so, the authors introduce the concept of patent ecosystems – conceived as configurations of codified knowledge advancements protected via patents. Design/methodology/approach: Using a patent co-classification method and introducing a novel validated software, the authors map and visualize the patent ecosystem of Singapore and examine 173,597 patents published from 1995 to 2020. Findings: Results reveal the prominent growth of Singapore’s patenting activities, capturing a patent ecosystem shift, from a more diverse knowledge configuration to a more specialized one. The codified knowledge mainly generated deals with pharmaceuticals and high-tech knowledge domains; further, newly emerging technologies such as blockchain are also noted. Research limitations/implications: The research investigates Singapore’s context, a country in which research directions and focus areas are influenced by government interventions and leadership. Thus, future studies might examine other patent ecosystems to draw comparisons with more laissez-faire policies or ecosystems with more pronounced organic development. Originality/value: The novelty of this research is the introduction of the concept of a patent ecosystem for advancing a more fine-grained understanding of the aggregated knowledge generated at the ecosystem level and its specific features, composition and development. The authors consider patents as “carriers” of different codified pieces of knowledge and patent ecosystems represent the configuration that emerges from connections of these elements. The novel approach can aid both researchers, practitioners and policymakers with future examinations in the field.
Year of publication: |
2021
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Authors: | Schillaci, Carmela Elita ; Marku, Elona ; Castriotta, Manuel ; Di Guardo, Maria Chiara |
Published in: |
Journal of Knowledge Management. - Emerald, ISSN 1367-3270, ZDB-ID 2009195-3. - Vol. 26.2021, 4 (08.09.), p. 1061-1082
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Publisher: |
Emerald |
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