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Field Before After
Trial Status in_development completed
Abstract Does the participation in co-innovation training activities influence industry participants’ intentions to engage in university-industry co-innovation projects? The aim of this trial is to explore the motivations of industry players to engage, or not, in collaborative innovation (co-innovation) projects. Training activities which engage university and industry participants can be a determinant for formal innovation and entrepreneurial projects. The trial objective is to determine the effects of tailored training programmes focused on modifying the co-innovation intention and its cognitive antecedents. This trial will be run in the border region of Southern Denmark. Does the participation in co-innovation training activities influence industry participants’ intentions to engage in university-industry co-innovation projects? The aim of this pilot study is to explore the motivations of industry players to engage, or not, in collaborative innovation (co-innovation) projects. Training activities which engage university and industry participants can be a determinant for formal innovation and entrepreneurial projects. The trial objective is to determine the effects of tailored training programmes focused on modifying the co-innovation intention and its cognitive antecedents. This trial will be run in the border region of Southern Denmark.
Last Published July 05, 2018 11:50 AM April 07, 2019 02:43 PM
Study Withdrawn No
Intervention Completion Date June 01, 2018
Data Collection Complete Yes
Final Sample Size: Number of Clusters (Unit of Randomization) 36
Was attrition correlated with treatment status? Yes
Final Sample Size: Total Number of Observations 36
Final Sample Size (or Number of Clusters) by Treatment Arms 6
Public Data URL https://www.researchgate.net/profile/Ferran_Giones/publication/332259155_Data_from_the_Pilot_Study_-_baseline_and_follow-up_-_Project_IGL_Co-Innovation_2018/data/5caa3f9992851c64bd57aa78/IGL-Co-innovation-Anon-Data.xlsx
Is there a restricted access data set available on request? Yes
Restricted Data Contact [email protected]
Program Files No
Data Collection Completion Date June 30, 2018
Is data available for public use? Yes
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Papers

Field Before After
Paper Abstract The engagement with industry actors is a key element in the transition towards an entrepreneurial university model. The purpose of this paper is to explore the university-industry collaboration (UIC) drivers from the industry side. It analyses how, and to what extent, policy interventions could increase the engagement of industry actors in UICs. An experimental research design involving a feasibility and pilot study (January to June 2018) with 36 firms. In a non-urban region context, with a satellite university campus. The pilot explores a randomized control trial (RCT) design, with a training intervention to a randomized group of participants in the pilot. Firms involved in universities’ students (academic forms of UICs) might not necessarily consider the university as a research partner, even in a geographic proximity setting. In addition, there is a potential “dark-side” to proximity, when industry participants build their perceptions using second-hand experiences or indirect information. A training intervention facilitates to overcome pre-existing biases but does not trigger a substantial change in the UIC’s behaviour of the firms in the short-term. The pilot study provides valuable insights for researchers interested in a larger randomized control trial. It also provides insights for university managers that want to understand the motivations of industry participants in UICs. The experimental approach of the research generates evidence on the feasibility to intervene in the activation of UICs from an industry perspective, a central aspect in transition towards an entrepreneurial university model.
Paper Citation Giones, F. (2019), “University-Industry Collaborations: An Industry Perspective”, Management Decision, available at:https://doi.org/10.1108/MD-11-2018-1182.
Paper URL https://doi.org/10.1108/MD-11-2018-1182
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