2020/01/17 by Michael C. I. Nwogugu, Michael C. Nwogugu, Nwogugu, Michael C.
Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · Engineering · Mathematics · Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Consumer Market Behavior and Pricing #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #FOS: Physical sciences #Merger and Competition Analysis #Sharing Economy and Platforms #Theoretical Economics (econ.TH) #Transportation and Mobility Innovations #cs.AI #cs.GT #econ.TH #math.DS #nlin.AO
paper · pdf · doi:10.48550/arxiv.2001.08192
openalex publication_date 2020/01/17 · arxiv created 2020/01/18 · arxiv updated 2020/01/24 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
The Sharing Economy (which includes Airbnb, Apple, Alibaba, Uber, WeWork, Ebay, Didi Chuxing, Amazon) blossomed across the world, triggered structural changes in industries and significantly affected international capital flows primarily by disobeying a wide variety of statutes and laws in many countries. They also illegally reduced and changing the nature of competition in many industries often to the detriment of social welfare. This article develops new dynamic pricing models for the SEOs and derives some stability properties of mixed games and dynamic algorithms which eliminate antitrust liability and also reduce deadweight losses, greed, Regret and GPS manipulation. The new dynamic pricing models contravene the Myerson Satterthwaite Impossibility Theorem.