The Swiss live-entertainment industry remains hesitant to adopt dynamic pricing (DP) despite proven revenue benefits, facing challenges including customer perception concerns and the absence of structured feasibility assessment tools. This thesis addresses this gap by designing, developing, and evaluating a Decision Support System (DSS) to help organizers systematically assess DP feasibility.

Following Design Science Research methodology, this study conducted two phases of expert interviews: five industry professionals using the Technology-Organization-Environment framework to identify challenges and drivers, then three experts evaluating the developed artifact through five realistic scenarios. The primary artifact is a web-based DSS employing criteria-based utility analysis with weighted categories. Expert evaluation revealed critical limitations in the initial prototype's score interpretation and weighting model. The enhanced version (V2) features significant refinements: rebalanced weighting prioritizing event-intrinsic factors (Event Characteristics 40%, Revenue/Market Potential 35%), a dual-scoring model distinguishing "Event Affinity" from "Implementation Readiness," qualitative feasibility bands with clear interpretation guidance, and context-specific strategic recommendations.

This research contributes both theoretically and practically: providing a novel feasibility assessment model grounded in established adoption theory while delivering a validated decision support tool that empowers Swiss event organizers to move from intuition-based to evidence-based pricing decisions.