Creativity reputation allocation in open and distributed innovation

Michael A. Zaggl and Matthias Müller
Authors registered in the RePEc Author Service: Matthias Mueller

Technovation, 2024, vol. 138, issue C

Abstract: Much of today's creative work crosses organizational borders. This limits the possibilities for directly compensating creative workers. Thus, other forms of reward, such as reputation-building, are necessary. This study builds on the concept of creative reputation (reputation for creativity) and signaling theory. It asks how reputation should be assigned to creative workers to reflect their creative abilities most accurately. We illustrate reputation allocation using the example of the academic system and develop a simple computational model to compare how different reputation allocation mechanisms—varying in how they utilize observable information about creative workers' outcomes—produce reputations for individual creative workers. The insights derived from the model contribute to our understanding of open and distributed innovation systems. They also challenge current practices in evaluating and recruiting creative workers and motivate future research on creative reputation and reputation allocation.

Keywords: Reputation allocation; Creativity; Information asymmetries; Academia; Open innovation; Teams; Signaling; Mechanism design; Computational model (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166497224001676
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:138:y:2024:i:c:s0166497224001676

DOI: 10.1016/j.technovation.2024.103117

Access Statistics for this article

Technovation is currently edited by Jonathan Linton

More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().