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

Federico Cosenz, Davood Qorbani and Yokei Yamaguchi

International Journal of Productivity and Performance Management, 2020, vol. 70, issue 4, 725-742

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.

Keywords: Ride-hailing business; Multisided platforms; Dynamic performance management; System dynamics modelling; Simulation; Uber Inc; Case study (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijppmp:ijppm-10-2019-0475

DOI: 10.1108/IJPPM-10-2019-0475

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