Ingroup cooperation among Japanese baseball fans using the one-shot prisoner’s dilemma game

Nakagawa, Yumi; Yokota, Kunihiro; Nakanishi, Daisuke

doi:10.1080/1612197x.2021.1987963

Cited by 3 publications

(1 citation statement)

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“…Respondent's expectation that other respondents would also choose to cooperate can also provide insights into the mechanism driving cooperative behavior. Two mechanisms that have been suggested to cause ingroup cooperation are the social identity theory, and the bounded generalized reciprocity hypothesis [137]. We find that the strength of one's identification with the freelancer community is not predictive of cooperation, while the expected rate of cooperation by others is highly predictive of the choice to cooperate.…”

Section: Discussionmentioning

confidence: 72%

Self-organizing social systems: boundaries of cooperation and coordination

Fulker

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4.3 Methods 4.4 Descriptive Results 4.4.1 Freelancers Want to Collaborate 4.4.2 Antecedents of Cooperation are Present 4.4.3 Incentivized Social Dilemma 4.4.4 Mixed Preferences for How to Organize Collaborative Crowd Work 4.5 Modeling Results and Insights 4.6 Discussion 4.6.1 Implications for Platform Design 4.6.2 Implications for Management of Workforce Ecosystems 4.6.3 Limitations 4.7 Conclusion Chapter 5 Conclusion References Appendices A.1 Spite is contagious in dynamic networks A.1.1 The Classic Anti-Correlated Interaction Threshold for Spite A.1.2 Measure of Endogenous Correlated Interaction A.1.3 Importance of Coevolution of Strategy and Network A.1.4 Comparison to Prisoner's Dilemma A.1.5 Robustness Tests A.1.6 A Biological Model A.2 Spontaneous emergence of groups and signaling diversity in dynamic networks A.2.1 Additional methods A.2.2 Related work A.2.3 Group formation and network structure A.2.4 Prevalence of hybrid groups as state space increases A.2.5 Hybrid groups promote diversity A.2.6 Properties of homogeneous and hybrid groups A.2.7 Robustness to parameter changes A.

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Section: Discussionmentioning

confidence: 72%

Self-organizing social systems: boundaries of cooperation and coordination

Fulker

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Cooperation in the Gig Economy: Insights from Upwork Freelancers

Fulker,

Riedl

2024

Proc. ACM Hum.-Comput. Interact.

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Existing literature on online labor markets predominantly focuses on how freelancers individually complete tasks and projects. Our study examines freelancers' willingness to work collaboratively. We report results from a survey of 122 freelancers on a leading online labor market platform (Upwork) that examine freelancers' preferences for collaborative work arrangements, and that explore several antecedents of cooperative behaviors. We then test if actual cooperative behavior matches with freelancers' stated preferences through an incentivized social dilemma experiment. We find that respondents cooperate at a higher rate (85%) than reported in previous comparable studies (between 50-75%). This high rate of cooperation may be explained by an ingroup bias. Using a sequential mediation model, we demonstrate the importance of a sense of shared expectations and accountability for cooperation. We contribute to a better understanding of the potential for collaborative work on online labor market platforms by assessing if and what social factors and collective culture exist among freelancers. We discuss the implications of our results for platform designers by highlighting the importance of platform features that promote shared expectations and improve accountability. Overall, contrary to existing literature and predictions, our results suggest that freelancers in our sample display traits that are more consistent with belonging to a coherent group with a shared collective culture, rather than being anonymous actors in a transaction-based market.

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