An exploration of digital ride-hailing multisided platforms' market dynamics: empirical evidence from the Uber case study

Abstract

Purpose: The purpose of this paper is to experiment a dynamic performance management (DPM) approach to explore and assess the business dynamics of digital ride-hailing platforms with a focus on both supply and demand sides, and related interplays. Design/methodology/approach: The research adopts the DPM framework supported by simulation-based experimentations for developing a systemic case interpretation of Uber Inc. and its specific business complexity. Findings: The emerging scenario analysis reveals that changes in the commission percentage for drivers and cutting prices for customers (car hailers) by competitors have significant impacts on the car-hailing industry. Originality/value: DPM and associated simulation-based analysis of the ride-hailing business may provide significant managerial decision insights and a ground base research in a relatively less-explored field within the strategic management domain.