Investments in and returns on network embeddedness: An experiment with trust games

Frey, Vincenz; Buskens, Vincent; Corten, Rense

doi:10.1016/j.socnet.2018.07.006

Cited by 20 publications

(11 citation statements)

References 71 publications

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“…Network position may relate to behavior even when the network does not operate to drive the behavior in any one instance. This finding is consistent with other work that suggests that networks may form in a way that favors connections between people who are inclined to behave cooperatively (Apicella et al 2012) or who have more connections (Frey et al 2019), perhaps as a result of strategic network formation at some point ( Jackson & Wolinsky 1996, Raub et al 2013.…”

Section: Using Social Network To Sanctionsupporting

confidence: 91%

Networks of Conflict and Cooperation

Larson

2021

Annu. Rev. Polit. Sci.

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Conflict and cooperation do not result from isolated individual actions. In settings such as insurgency, interstate conflict, protest mobilization, and informal governance, actors are highly interdependent. The study of networks aims to identify what the relevant interdependencies are and, crucially, how they shape conflict and cooperation outcomes. Although this is a relatively new research area, its early results convincingly establish that networks matter. Social networks provide information, transmit peer pressure, and structure interactions in ways that help groups overcome social dilemmas. With much research documenting the importance of particular outcomes in particular areas, the next major step will be putting the pieces together. Which connections between actors matter in which circumstances and how? The groundwork has been well laid for this large future research endeavor. Expected final online publication date for the Annual Review of Political Science, Volume 24 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Using Social Network To Sanctionsupporting

confidence: 91%

Networks of Conflict and Cooperation

Larson

2021

Annu. Rev. Polit. Sci.

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“…On the other hand, we do also not find that reputation formation in dense networks, when determined exogenously, leads to more cooperation in the first place, which renders the question of emergence of cooperation-promoting network structure less relevant altogether, in the context of our experiment. Similar to what is found in the context of trust games (Frey et al 2019), we cannot exclude that subjects do not stay in dense networks because they do not anticipate the potential benefits or that they do not stay in these networks because they do anticipate that the potential benefits will not materialize.…”

Section: Discussionmentioning

confidence: 94%

17. Cooperation, Reputation Effects, and Network Dynamics: Experimental Evidence

Corten¹,

Buskens²,

Rosenkranz³

2020

Advances in the Sociology of Trust and Cooperation

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While social network structures are thought to promote cooperation through reputation effects, as suggested by Raub and Weesie (1990), the option of partner choice may undermine these reputation effects in networks. This article approaches this dilemma by comparing the effects of partner choice and reputation diffusion in isolation as well as in combination in a controlled experimental setting. While we do not find that cooperation rates in the absence of partner choice are higher in the presence of reputation effects, we find that emerging cooperation levels near the end of the game are higher when initial cooperation levels are higher. This is more in line with predictions of models of cooperation that rely on learning heuristics rather than forward-looking rationality (i.e., Corten and Cook, 2009). Moreover, we find that the option of partner choice lowers cooperation rates in the absence of reputation effects. However, we do not find a similar effect in the presence of reputation effects. We position these findings in the larger literature on the conditions for cooperation in dynamic societies. Cooperation is a cornerstone of human societies (e.g., Bowles and Gintis 2013; Pennisi 2005; Ostrom 1990). In many instances of social interaction, people join forces to achieve something they could not have achieved alone. Achieving cooperation, however, is often problematic: actors may face incentives to free-ride on the efforts of others, with the result that cooperation never materializes and the payoff to all actors involved is lower than it would have been, had they cooperated. Consider, for example, two researchers who can collaborate on a project, but are also tempted to let the other do most of the work and focus on their individual projects. This situation is formally captured for two actors in the famous Prisoner's Dilemma (PD). 1 The question as to under which conditions cooperation between rational, selfish actors becomes more likely is one of the major problems of the social sciences, and is also known in sociology as the problem of social order (Parsons, 1937). A key finding in this line of research is that cooperation is possible if interac

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“…The existence (or absence) of cross-domain network ties can produce a variety of outcomes. These can be categorized as economic, such as creative performance (Perry- Smith & Mannucci, 2017), psychological, such as job satisfaction (Krackhardt & Porter, 1985), and sociological, such as interpersonal trust (Frey et al, 2019) and collective affect (Quinn & Baker, 2021). One way that these outcomes can manifest is through social contagion processes, which explains how network structure affects emergent social pressures to conform, and occurs when emotions, cognitions, and behaviors spread through a network, say, from those around an individual to the focal individual.…”

Section: Outcomes Of Cross-domain Multiplex Tiesmentioning

confidence: 99%

Social Networks in the Work-Nonwork Borderland: Developing an Integrative Model of Cross-Domain Multiplex Relationships

Methot,

Parker,

Hubbard

2024

Group & Organization Management

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Individuals’ networks are multiplex—bundles of roles, interactions, and exchanges—in which the boundaries between work relationships and non-work relationships are often blurred, or integrated. Surprisingly, though, there is a paucity of research that explicitly integrates the work-nonwork literature and the social networks literature. In this paper, we advance theory on cross-domain multiplexity—multifaceted relationships that occupy a blended work–nonwork role space by superimposing work and nonwork interactions, roles, and exchanges. Specifically, we draw from work-family border theory to propose that cross-domain multiplex relationships represent a qualitatively unique form of multiplexity that involve distinct norms, drivers, and tensions. We advance the conversation around social network analytics and work-nonwork boundary research by presenting a theoretical model of cross-domain multiplex relationships that unpacks their components, as well as their unique antecedents, outcomes, and dynamics. We also review three methodological approaches that scholars can employ to analyze our propositions. Given recent theoretical and methodological advancements in both arenas, we propose that employing social network analytic methodology can inform how scholars theorize and design research around the work-nonwork interface, expand the methodological toolkit applied to these research questions, and resolve inconsistencies in whether multiplex relationships are enriching or depleting.

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Investments in and returns on network embeddedness: An experiment with trust games

Cited by 20 publications

References 71 publications

Networks of Conflict and Cooperation

Networks of Conflict and Cooperation

17. Cooperation, Reputation Effects, and Network Dynamics: Experimental Evidence

Social Networks in the Work-Nonwork Borderland: Developing an Integrative Model of Cross-Domain Multiplex Relationships

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