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Case 13 / 31  •  Theme: Coordinating

Volunteer’s Dilemma

Everyone may agree that something needs to happen and still wait because one volunteer would be enough.

In the Volunteer’s Dilemma, the group needs one costly intervention, but each individual member would prefer someone else to bear the cost. This makes it relevant to knowledge maintenance without an owner, but only when one intervention really is sufficient.

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Research statusResearch in preparation
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AI relevanceAI may amplify an existing effect
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Core ideaThreshold public good / stewardship
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Evidence baseSources and limitations summarised; independent review pending.
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Case typeGame-theoretic dilemma
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In one sentence

Everyone may agree that something needs to happen and still wait because one volunteer would be enough.

The storyHow the case arises and how it can mislead our thinking.

Everyone in a group benefits if at least one person voluntarily bears a cost. If nobody does, everyone loses. Each person therefore has a reason to hope that someone else will volunteer.

What do we know?Evidence, research, critical insights and what remains unknown.

The game-theoretic structure is established and has been studied experimentally. Many real-world situations in which ‘nobody does it’ are different games, however; structural fit must be tested explicitly.

What is the mechanism?Which explanation best fits what we observe.

Shared benefit plus a concentrated volunteering cost and the condition that one person’s action is enough creates strategic waiting. Group size and diffusion of responsibility may influence the probability of intervention.

What does AI change?How AI may amplify the mechanism or make it visible.

AI transfer to investigate: AI may lower contribution costs or provide signals, but the dilemma disappears only if the effective payoffs or responsibility structure change.

What do we want to test?The specific question we want to investigate further.

Proposed test, not yet conducted: Vary group size, diffuse versus accountable assignment, and contribution cost for one necessary knowledge-maintenance action. Measure intervention probability and delay.

What do we take away?What this case provisionally means — and where its limits lie.

Not every stewardship failure is a Volunteer’s Dilemma. Use the model only when the one-volunteer threshold and payoff structure genuinely fit.

One person’s action must be enough to provide the shared benefit. Otherwise a public-goods or coordination model may fit better. A model prediction is not measured group behaviour.

SourcesPrimary and key scholarly sources.

Diekmann (1985), Volunteer’s Dilemma — pp. 605–610

Diekmann (1993), Cooperation in an asymmetric Volunteer’s dilemma game — abstract; pp. 75–85

Diekmann (1985, pp. 605–610) describes the model. Only the abstract of the 1993 experiment was accessible. Model predictions do not replace measurements of actual group behaviour.

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