Massachusetts Institute of Technology
Industry Platforms: Case Studies to Measure Platform Capabilities for US Unicorns
Abstract
dc:description.abstractLarge-sample empirical research by Cusumano et. al. found that US privately-held unicorns with platform capabilities command on average 123% premium over non-platforms. However, measuring the extent to which a company is platform or non-platform based is a difficult problem given the complexities of business organizations and how these activities interact with each other in non-linear ways. This thesis attempts to address this by proposing a systems thinking, case-based approach to evaluate the key business activities of a firm with potential platform capabilities using the author’s proposed Platform Classification Matrix on five of the largest US privately-held firms: Epic Games, Databricks, Plaid Technologies, Stripe, and Instacart. Each business activity for a firm is classified as platform or nonplatform, and if it is a platform then it is assessed based on its revenue contributions to the firm and three strength metrics: Network effects, strength against multihoming, and new entrant deterrence. This matrix generates a ‘platform strength’ metric and allows identification of the platform activity with the most potential towards a winner take all or most case. The author further proposes combining this matrix with a system dynamic approach to identify how differing business activities can boost or hinder the leading platform service which allows decision makers to assess whether retaining or subsidizing seemingly low-performing business lines is strategic for their leading platform. The thesis concludes by advocating for using both methods as well as the generated metrics to perform a holistic analysis when evaluating firms with platform capabilities potential.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- System Design and Management Program.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2023
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- AlSadah, Yousif Fayez
- Advisor dc:contributor.advisor
-
- Cusumano, Michael A.
Rights
dc:rights- Statement dc:rights
-
- In Copyright - Educational Use Permitted
- Copyright retained by author(s)
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/152746
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/152746