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

Federico Cosenz, Davood Qorbani, Yokei Yamaguchi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalTHE INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • General Business,Management and Accounting
  • Strategy and Management

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