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Greed: What Is It Good for?

ABSTRACT: What is greed good for? Greed is ubiquitous, suggesting that it must have some benefits, but it is also often condemned. In a representative sample of the Dutch population (N = 2,367, 51.3% female, M_age = 54.06, SD = 17.90), we examined two questions. First, inspired by Eriksson et al., we studied whether greedy people generate more personal and household income (economic outcomes), have more sexual partners, longer relationships, and more offspring (evolutionary outcomes), and are more satisfied in life (psychological outcomes). We found that greedy individuals had higher economic outcomes, mixed evolutionary outcomes, and lower psychological outcomes. Second, we compared greed and self-interest. We found that they differed in terms of economic outcomes, and partly in terms of evolutionary outcomes, but that they were similar in terms of psychological outcomes. This research provides insights into what greed is and does. Directions for further research are discussed.

SUBMITTER: Hoyer K

PROVIDER: S-EPMC10903135 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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Greed: What Is It Good for?

Hoyer Karlijn K Zeelenberg Marcel M Breugelmans Seger M SM

Personality & social psychology bulletin 20221228 4

What is greed good for? Greed is ubiquitous, suggesting that it must have some benefits, but it is also often condemned. In a representative sample of the Dutch population (N = 2,367, 51.3% female, Mage = 54.06, SD = 17.90), we examined two questions. First, inspired by Eriksson et al., we studied whether greedy people generate more personal and household income (economic outcomes), have more sexual partners, longer relationships, and more offspring (evolutionary ...[more]

PMID: 36575964

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Project description:Extensive interdisciplinary literatures have built on the seminal spatial dilemmas model, which depicts the evolution of cooperation on regular lattices, with strategies propagating locally by relative fitness. In this model agents may cooperate with neighbors, paying an individual cost to enhance their collective welfare, or they may exploit cooperative neighbors and diminish collective welfare. Recent research has extended the model in numerous ways, incorporating behavioral noise, implementing other network topologies or adaptive networks, and employing alternative dynamics of replication. Although the underlying dilemma arises from two distinct dimensions-the gains for exploiting cooperative partners (Greed) and the cost of cooperating with exploitative partners (Fear)-most work following from the spatial dilemmas model has argued or assumed that the dilemma can be represented with a single parameter: This research has typically examined Greed or Fear in isolation, or a composite such as the K-index of Cooperation or the ratio of the benefit to cost of cooperation. We challenge this claim on theoretical grounds-showing that embedding interaction in networks generally leads Greed and Fear to have divergent, interactive, and highly nonlinear effects on cooperation at the macro level, even when individuals respond identically to Greed and Fear. Using computational experiments, we characterize both dynamic local behavior and long run outcomes across regions of this space. We also simulate interventions to investigate changes of Greed and Fear over time, showing how model behavior changes asymmetrically as boundaries in payoff space are crossed, leading some interventions to have irreversible effects on cooperation. We then replicate our experiments on inter-organizational network data derived from links through shared directors among 2,400 large US corporations, thus demonstrating our findings for Greed and Fear on a naturally-occurring network. In closing, we discuss implications of our main findings regarding Greed and Fear for the problem of cooperation on inter-organizational networks.

Dataset Information

Greed: What Is It Good for?

Publications

Greed: What Is It Good for?

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