MODELING OPPORTUNISTIC BEHAVIOR AND TRANSACTIONAL RISKS AMONG CLUSTER PARTICIPANTS: A GAME-THEORETIC APPROACH
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cluster structures##common.commaListSeparator## opportunistic behavior##common.commaListSeparator## transaction costs##common.commaListSeparator## game theory##common.commaListSeparator## Nash equilibrium##common.commaListSeparator## contract governance##common.commaListSeparator## supply risks##common.commaListSeparator## asymmetric information##common.commaListSeparator## repeated games##common.commaListSeparator## payoff matrixAnnotatsiya
Industrial and agro-industrial clusters combine high operational interdependence with conflicting profit motives, exposing participants to opportunism when information about compliance is asymmetric. Existing research explains why opportunism arises but offers few quantifiable mechanisms for suppressing it in emerging-economy clusters. This study develops a twoplayer non-cooperative game between a primary supplier, who chooses honest delivery or opportunistic non-compliance, and a focal processing enterprise, which chooses strict verification or unmonitored trust. The model is parameterized by material value, compliance and inspection costs, opportunistic gain, contractual penalty and a discount factor. Derivations show that the static game has no pure-strategy equilibrium but a unique mixed-strategy one, in which the probability of opportunism equals inspection cost divided by the sum of penalty and material value, while the verification probability equals the supplier’s temptation divided by the sum of material value, gain and penalty. If the penalty does not accrue to the verifier, the probability of opportunism becomes independent of the penalty. In the infinitely repeated game, honest delivery under unmonitored trust is sustained by a grim-trigger strategy when the discount factor exceeds a threshold, and committed verification substitutes for relationship length below it. Simulations with illustrative parameters anchored to cotton price gaps show that opportunism falls in proportion to inspection cost, that penalties collected by the focal enterprise deter more effectively than penalties paid to an external fund, and that repeated interaction lowers the required verification probability from twenty to about four percent. The findings support incentive-compatible contracts, mutual risk funds and digital traceability.
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