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Title: The Generativity of Remixing: Understanding Knowledge Reuse Process for Innovation in Online Communities
Remixing, a method to harness collective intelligence, is used in many online innovation communities. It is also an important form of online engagement. What actions lead to a remix that is generative? This paper addresses this question by using a knowledge reuse process model previously applied in offline settings as the basis for a series of hypotheses about online communities. An empirical study is performed to examine the relationship between three major actions in the knowledge reuse process model and the generativity of the remix created. An analysis of the reuse of proposals in an online innovation community, Climate CoLab, shows that those including prevalent topics and metaknowledge about integration are more generative. These findings provide insights to strategies and tools that can support knowledge reuse for innovation in online communities.
Authors:
;
Award ID(s):
1717473 1442840 1422066
Publication Date:
NSF-PAR ID:
10059403
Journal Name:
Proceedings of the International Conference on Information Systems
Sponsoring Org:
National Science Foundation
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