Industry emergence and market capture: The rise of autonomous vehicles
In this paper the authors 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, they analyze how incumbents and newcomers pursue control over the definition, evolution, and technology of a newly emerging market. They 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, the authors 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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00401625
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Supplemental Notes:
- © 2022 Elsevier Inc. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Alvarez León, Luis F
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0000-0001-9888-4921
- Aoyama, Yuko
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0000-0001-6830-4017
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: 121661
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Serial:
- Technological Forecasting and Social Change
- Volume: 180
- Issue Number: 0
- Publisher: Elsevier Science Publishing Company, Incorporated
- ISSN: 0040-1625
- Serial URL: http://www.sciencedirect.com/science/journal/00401625
Subject/Index Terms
- TRT Terms: Automobile industry; Autonomous vehicles; Business practices; Information technology; Market share; Strategic alliances; Technological innovations
- Subject Areas: Administration and Management; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01850257
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 27 2022 5:19PM