Partial participation towards collective action
To stifle or instigate
Bibliographic Data
| ID | 5722153 |
|---|---|
| Authors | Alexander Funcke (Philosophy, Politics and Economics, University of Pennsylvania, USA, corresponding author), Ulrik Franke (0000-0003-2017-7914, Software and Systems Engineering Laboratory, Swedish Institute of Computer Science, Sweden; Swedish Defence Research Agency, Sweden) |
| Year | 2016 |
| Volume | 28 |
| Issue | 4 |
| Pages | 453-467 |
| Publication date | 2016-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Rationality and Society (JOURNAL) |
| Journal identifiers | ISSN: 1043-4631 • E-ISSN: 1461-7358 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1043463116658873 |
| OpenAlex | W2484766820 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
In this paper we extend the Granovetter threshold model with partial participation towards a collective action. That is, agents may partake by conducting an action that is less costly than the ultimate collective action, but costly enough to signal a commitment to the cause. We show that it is not just the exact distribution of thresholds, but also the distribution of available actions that determines whether a collective action will be achieved. We suggest and prove propositions for how both an inventive "activist" and a "dictator" may strategically change the signaling value of existing actions, or introduce new ones, in order to either instigate or stifle collective action. Applying the theory to revolutions, we argue that new technology can play a role beyond that of communication and synchronization, viz. that of adding modes of partial, less arduous, participation
Business · Collective action · Dictator · Economics · Law and economics · Microeconomics · Political science · Politics · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Law · Mathematics · Opinion Dynamics and Social Influence
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |