2016/09/14 by Manjusha Thorpe, Tom Ridgman · 2 citations
Business, Management and Accounting · Engineering · #Business #Computer science #Emerging technologies #Innovation and Knowledge Management #Knowledge management #Knowledge sharing #Knowledge value chain #Organizational learning #Process (computing) #Process management #Scale (ratio) #Sustainable Industrial Ecology #University-Industry-Government Innovation Models
paper · doi:10.1142/s0219877017500067
published in International Journal of Innovation and Technology Management 13(06), 1750006 (World Scientific)
openalex publication_date 2016/09/14 · crossref created 2016/09/14 · crossref issued 2016/11/14 · crossref published 2016/11/14 · crossref published-online 2016/11/14 · crossref published-print 2016/12/01 · crossref deposited 2022/07/08 · openalex created_date 2025/10/10 · crossref indexed 2026/08/03 · openalex updated_date 2026/08/04
The importance of developing innovative manufacturing technologies in the process industry is increasing in response to environmental concerns. However, scaling up new technologies from the laboratory to the commercial scale is problematic. A unified view on the challenges encountered during scale-up does not appear to exist in the literature. Nevertheless, there is recognition of knowledge gaps and a lack of approaches to knowledge management. This research identifies the knowledge required to carry out scale-up and appropriate knowledge management practices. The findings indicate that the required knowledge does exist to a large extent but that it is not effectively deployed.