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An investigation of knowledge protection practices in inter-organisational collaboration: protecting specialised engineering knowledge with a practice based on grey-box modelling
- Source :
- VINE Journal of Information and Knowledge Management Systems. 51:713-731
- Publication Year :
- 2020
- Publisher :
- Emerald, 2020.
-
Abstract
- Purpose This paper aims to report an interview study investigating knowledge protection practices in a collaborative research and innovation project centred around the semi-conductor industry. The authors explore which and how knowledge protection practices are applied and zoom in on a particular one to investigate the perspective of three stakeholders which collaborate: the SUPPLIER of a specialised machine, the APPLIER of this machine and a SCHOLAR who collaborates with both, in an effort to develop a grey-box model of the machine and its operation. Design/methodology/approach A total of 33 interviews have been conducted in two rounds: 30 interviews explore knowledge protection practices applied across a large project. Qualitative content analysis is applied to determine practices not well covered by the research community. A total of three follow-up interviews inspect one specific collaboration case of three partners. Quotes from all interviews are used to illustrate the participants’ viewpoints and motivation. Findings SCHOLAR and APPLIER communicate using a data-centric knowledge protection practice, in that concrete parameter values are sensitive and hidden by communicating data within a wider parameter range. This practice balances the benefit that all three stakeholders have from communicating about specifics of machine design and operations. The grey-box model combines engineering knowledge of both SUPPLIER and APPLIER. Practical implications The line of thought described in this study is applicable to comparable collaboration constellations of a SUPPLIER of a machine, an APPLIER of a machine and a SCHOLAR who analyses and draws insights out of data. Originality/value The paper fills a research gap by reporting on applied knowledge protection practices and characterising a data-centric knowledge protection practice around a grey-box model.
- Subjects :
- Knowledge management
Computer Networks and Communications
business.industry
05 social sciences
Coopetition
02 engineering and technology
Library and Information Sciences
Grey box
Machine design
Viewpoints
Computer Science Applications
Knowledge sharing
020204 information systems
Management of Technology and Innovation
Research community
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Interview study
Knowledge protection
Business
050203 business & management
Information Systems
Subjects
Details
- ISSN :
- 20595891
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- VINE Journal of Information and Knowledge Management Systems
- Accession number :
- edsair.doi...........a0e286f32ae206966dfe8cd6d73a5e9c