An exploration of digital ride-hailing multisided platforms' market dynamics: empirical evidence from the Uber case study
International Journal of Productivity and Performance Management
ISSN: 1741-0401
Article publication date: 8 July 2020
Issue publication date: 29 March 2021
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
Acknowledgements
The authors are grateful to the anonymous reviewers for the significant suggestions offered during the review process. They also thank the organizers and attendees of the XXXV International Conference of the System Dynamics Society (July 2017) for their comments on an earlier version of the manuscript therein presented.
Citation
Cosenz, F., Qorbani, D. and Yamaguchi, Y. (2021), "An exploration of digital ride-hailing multisided platforms' market dynamics: empirical evidence from the Uber case study", International Journal of Productivity and Performance Management, Vol. 70 No. 4, pp. 725-742. https://doi.org/10.1108/IJPPM-10-2019-0475
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited