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The model integrates actor, partner, and relationship dynamics and clarifies why trait effects are often conditional rather than uniform."},{"key":"10.1016\/j.copsyc.2026.102365_bib68","unstructured":"Shifts the focus from average trait levels to within-person variability (\u201cpersonality variability\u201d) as an individual-difference construct relevant for dynamic bargaining. Shows that variability predicts both economic gains and satisfaction, consistent with the idea that negotiations reward adaptive regulation across interaction turns. Useful as a bridge between personality states\/variability and negotiation outcomes."},{"key":"10.1016\/j.copsyc.2026.102365_bib69","unstructured":"Demonstrates exemplarily how dark personality traits are linked to greater endorsement of inappropriate negotiation strategies, partly via lower relational interdependent self-construal. Highlights a \u201cmoney versus relationship\u201d trade-off: traits can predict ethically and relationally consequential behaviors even when final economic outcomes are ambiguous. Good example for broadening \u201cnegotiation success\u201d beyond settlement terms and economic value."},{"key":"10.1016\/j.copsyc.2026.102365_bib70","unstructured":"Provides phase-specific evidence that conscientiousness shapes negotiation outcomes by influencing preparation: more persistent planning effort and greater prioritization of negotiation-relevant information predict downstream value claiming. Conscientiousness matters through a measurable and behavioral preparation-to-performance pathway, supporting the multi-phase lens."},{"key":"10.1016\/j.copsyc.2026.102365_bib71","unstructured":"Shows that similarity in interpersonal traits (e.g., agreeableness, extraversion) predicts negotiation dynamics through emotional displays: dyads with greater similarity use more positive emotional language, which predicts faster agreement and better relational impressions. A clear demonstration that dyadic configuration can shape process and relational outcomes, not merely economic terms."},{"key":"10.1016\/j.copsyc.2026.102365_bib72","unstructured":"Uses a robust round-robin design and behavioral coding to decompose negotiation behavior into actor consistency, partner elicitation, and dyadic reciprocity. Finds that negotiators show stable behavioral signatures across counterparts, counterparts reliably elicit behaviors, and pairs converge via reciprocity, directly supporting an interdependent \u201cwho you negotiate with\u201d account of personality effects."},{"key":"10.1016\/j.copsyc.2026.102365_bib73","unstructured":"Applies a dyadic congruence approach to show that trust propensity fit predicts joint outcomes in a nuanced way: congruent low trust propensity can improve joint gains on trade-off\/compatible issues while leaving distributive outcomes unchanged. 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