Reaching Consensus in Group Decision-Making for Collaborative Agreement in Business and Academic Environments  
Author

Anita Jalili-Kalhori

 

Co-Author(s)

Macy Varga;  Jordan Aviles; Kimberly Aracena; Silvia Carpitella

 

Abstract Effective decision-making often requires consensus among individuals with diverse backgrounds, goals, and perspectives. In business and academic settings, conflicting stakeholder priorities can complicate the selection of inclusive, ethical, and practical solutions. This research explores how structured decision-making tools, specifically the Analytic Hierarchy Process (AHP), can be used to evaluate competing criteria and support group consensus across two case studies. The first case examines the integration of Artificial Intelligence (AI) in the animation industry, where concerns around such criteria as job security, cost, and creative integrity must be balanced. The second case addresses the challenge of creating accessible educational resources in higher education, where institutions must navigate trade-offs involving such criteria as software compatibility, training, and student support, among others. We developed sets of decision-making criteria for each scenario based on stakeholder needs and perspectives. AHP was then used to construct hierarchical models to enable criteria-based comparisons, with the goal of supporting more equitable and data-driven decisions. Our findings contribute to ongoing research on multi-criteria decision analysis in collaborative contexts and demonstrate how structured consensus-building can promote innovation and inclusivity in complex, real-world environments.

 

Keywords
   
    Article #:  RQD2026-231
 

Proceedings of 31st ISSAT International Conference on Reliability & Quality in Design
August 5-7, 2026