#4768. An exploration of digital ride-hailing multisided platforms market dynamics: empirical evidence from the Uber case study
July 2026 | publication date |
Proposal available till | 26-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Business, Management and Accounting (all);
Strategy and Management; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
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:
Dynamic performance management; Multisided platforms; Ride-hailing business; Simulation; System dynamics modelling; Uber Inc, Case study
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