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Eliminating conflicts in group decision-making: Exploring potential information cocoon effects across varied levels of psychological resilience

Siqi Zhang and Jianjun Zhu

European Journal of Operational Research, 2025, vol. 326, issue 3, 544-557

Abstract: In group decision-making (GDM), conflicts often arise, requiring decision-makers (DMs) to adjust their opinions. Variations in DMs’ backgrounds, expertise, and dynamic environmental interactions shape their psychological states, consequently affecting their information-processing strategies and potentially contributing to information cocoon effects. This study aims to develop a conflict-elimination framework that (1) evaluates DMs’ psychological states, (2) identifies the dual nature of information cocoon effects (ICEs) shaping their behaviors, and (3) formulates targeted conflict resolution strategies based on these insights. First, we employ a resilience model to quantify psychological resilience as an indicator of DMs’ psychological states. For highly resilient DMs — less susceptible to ICEs — a tailored conflict elimination strategy using a bi-level optimization model is introduced. For less resilient DMs — more prone to cocoon influences — we examine the conditions under which ICEs can obstruct or facilitate conflict resolution. We then design corresponding optimization models to harness these effects constructively. A numerical demonstration and sensitivity analysis confirm the proposed framework’s effectiveness. Our approach enhances decision-making efficiency and improves conflict resolution outcomes by aligning resolution strategies with DMs’ psychological states and the nature of their ICEs.

Keywords: Group decisions and negotiations; Psychological resilience; Conflict-eliminating mechanisms; Information cocoon effects; Bi-level optimization model (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:326:y:2025:i:3:p:544-557

DOI: 10.1016/j.ejor.2025.04.028

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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