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To address income inequality in "Superstar Markets", we propose income pools - a contract where individuals agree to share a portion of future earnings if they become successful. We develop the first math model and prove that no finite-sized stable pool exists. In response, we consider bounded stable pools and epsilon-stable pools, proving their existence and Pareto properties. Our case study on professional baseball shows a 20%-30% welfare increase, most acutely benefiting the weakest agents.
The impact of AI technology on the productivity of gig economy workers
Dmitry Mitrofanov1, Benjamin Knight2, Serguei Netessine3
1Boston College; 2Instacart; 3University of Pennsylvania
The gig economy relies on task outsourcing, but gig workers face challenges in finding locations and products. We conduct field experiments using AI-enabled guidance to help shoppers. Technology reduces refunds and benefits less experienced shoppers. However, complex routing algorithms increase consultation time and pickup times. AI improves efficiency and increases revenues, but technology adoption has limits and overuse can reduce productivity.
Waiting experience in open-shop service networks: improvements via flow analytics & automation
1Renmin University of China - School of Business, China; 2University of Toronto - Rotman School of Management, Canada; 3Technion - Israel Institute of Technology, Israel; 4City University of Hong Kong, Hong Kong S.A.R. (China); 5Technion - Israel Institute of Technology, Israel; 6Tel Aviv Sourasky Medical Center, Israel
Motivated by collaboration with a clinic, we study open-shop service networks with two service level measures: macro-level average overall wait time and micro-level probabilities of excessive waits for individual services. In a stylized two-station open-shop network, we analytically show that an advanced customer priority and the buffer strategy can improve macro- and micro-level performance. We provide means to improve customers' experience in open shop service networks not applicable before.
