Industry emergence and market capture: The rise of autonomous vehicles
Luis F. Alvarez León and
Yuko Aoyama
Technological Forecasting and Social Change, 2022, vol. 180, issue C
Abstract:
In this paper we examine how the rise of Autonomous Vehicles (AV) is reshaping the power dynamics in the automobile industry through competition from the information technology (IT) industry. By introducing the concept of market capture, we analyze how incumbents and newcomers pursue control over the definition, evolution, and technology of a newly emerging market. We demonstrate this with an analysis of technological acquisitions and alliance networks for 2011–2018, a period where the AV industry first coalesced and then experienced dramatic growth. By examining firm transactions through their geographic locations and an array of centrality measures, we shed light on inter-firm dynamics shaping the emergence and evolution of the AV industry. This research demonstrates how market capture can serve as a useful framework to analyze competition, cooperation, geographic patterns, and power asymmetries in the transaction network of an emerging industry.
Keywords: Autonomous vehicles; Market capture; Technological alliances; Corporate networks (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522001937
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:180:y:2022:i:c:s0040162522001937
DOI: 10.1016/j.techfore.2022.121661
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().