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2017
DOI: 10.24840/2183-0606_004.004_0003
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Studying Open Innovation collaboration between the high-tech industry and science with linguistic ethnography - battling over the status of knowledge in a setting of distrust

Abstract: Open Innovation collaborations often pit academia against industry. Such inter-organizational collaborations can be troublesome due to different organizational backgrounds. This paper investigates what kind of knowledge a multinational high tech company and a research institute share with each other, how they collaborate to innovate and what role trust plays in this process. Linguistic ethnography is used to analyze the relationship from within, based on the interaction between the parties during project meeti… Show more

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Cited by 5 publications
(2 citation statements)
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“…Finally, we added field notes taken during the non-participant direct observations, reflective notes on informal conversations, and secondary data such as emails, meeting agendas, and supporting PowerPoint presentations to create a "detailed tapestry" (Briguglio, 2016) of themes and patterns, which were cross-validated and triangulated in more follow-up interviews/feedback sessions with participants. The third partnership, extensively studied previously (De Maeijer, Van Hout, Weggeman, & Post, 2017), serves as a comparison by way of extension (Czarniawski, 2012) and validation. The research methodology is summarized in Figure 1.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, we added field notes taken during the non-participant direct observations, reflective notes on informal conversations, and secondary data such as emails, meeting agendas, and supporting PowerPoint presentations to create a "detailed tapestry" (Briguglio, 2016) of themes and patterns, which were cross-validated and triangulated in more follow-up interviews/feedback sessions with participants. The third partnership, extensively studied previously (De Maeijer, Van Hout, Weggeman, & Post, 2017), serves as a comparison by way of extension (Czarniawski, 2012) and validation. The research methodology is summarized in Figure 1.…”
Section: Methodsmentioning
confidence: 99%
“…To realise further improvements for patients, the application should be modified together with the patients. According to De Maeijer et al (206), the need for innovation is determined by the end user, showing the importance of involving participants in the different steps of the research process. If the digital tools are co-produced, this increases the chance of avoiding intersubjectivity and instead creating a product that offers the users the support they need and actually want to use.…”
Section: Discussionmentioning
confidence: 99%