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Modeling actor behavior in collaborative innovation networks : the case of social product-development
|Abhari Kaveh r.pdf||Version for non-UH users. Copying/Printing is not permitted||5.59 MB||Adobe PDF||View/Open|
|Abhari Kaveh uh.pdf||Version for UH users||6.47 MB||Adobe PDF||View/Open|
|Title:||Modeling actor behavior in collaborative innovation networks : the case of social product-development|
|Keywords:||new product development|
collaborative innovation network
social product development
|Date Issued:||Dec 2014|
|Publisher:||[Honolulu] : [University of Hawaii at Manoa], [December 2014]|
|Abstract:||Gaining insight into co-innovator behavior of external individual actor is the pivot in the co-innovation research and development. Therefore, in order to pave the way for future theorization and implementation, this study aims to understand and explain actor behavior and the related driving forces in an emerging yet important co-innovation model, so-called Social Product Development (SPD). This research consists of two case studies and a survey study. The first study was a review of 22 cases of co-innovation network, in particular their structures, components, and governance. The case of a successful SPD--Quirky.com--was reviewed next in details. After the exploratory phase, the research model, hypotheses, and instrument were developed in the light of the literature review, the theory of goal-directed behavior, and the data collected during the case studies. Then, the proposed model was tested by a survey.|
The study proposed and validated that three interrelated constructs can model actor co-innovation behavior: ideation, collaboration, and communication. The study identified the main driving forces behind co-innovation in SPD networks, namely motivation, actor past experience, risks, and co-innovation platform. The survey highlighted the role of all three classes of motivations, namely extrinsic, intrinsic, and internalized extrinsic motivation in driving co-innovation. Extrinsic motivation largely drives ideation behavior; intrinsic motivation is mainly associated with communication behavior, and internalized extrinsic motivation primarily affects collaboration behavior. Risk is the significant hindering factor in co-innovation environment. Risk associated with 'time' is the most important factor compared with financial risk, intellectual property risk, and social risk. This study explained how the relationships between motivation factors and actors' intention to co-innovate could be influenced by the platform functional affordances. However, the effects are small, and they depend on actors' co-innovation goals.
|Description:||Ph.D. University of Hawaii at Manoa 2014.|
Includes bibliographical references.
|Rights:||All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.|
|Appears in Collections:||
Ph.D. - Communication and Information Sciences|
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