서브메뉴
검색
Navigating New Frontiers: Corporate Venture Capital, Legal Dynamics, and the Generative Artificial Intelligence Revolution in Startups
Navigating New Frontiers: Corporate Venture Capital, Legal Dynamics, and the Generative Artificial Intelligence Revolution in Startups
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105531
- ISBN
- 9798263340179
- DDC
- 332.6
- 저자명
- Dong, Thien.
- 서명/저자
- Navigating New Frontiers: Corporate Venture Capital, Legal Dynamics, and the Generative Artificial Intelligence Revolution in Startups
- 발행사항
- [Sl] : Georgia Institute of Technology, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 286 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-05, Section: A.
- 주기사항
- Advisor: Thompson, Peter.
- 학위논문주기
- Thesis (Ph.D.)--Georgia Institute of Technology, 2025.
- 초록/해제
- 요약This dissertation examines the impacts of corporate venture capital (CVC) investmentsand the emerging influence of generative AI (GenAI) on the financial and human capitaldimensions of startups.In the first chapter, I investigate how CVC investments affect startup performance,emphasizing the competitive dynamics between ventures and their parent corporations inproduct and technology markets. My findings reveal that ventures experience reduced funding and innovation outcomes as technological similarity with their corporate investors increases. However, this negative impact is mitigated when the startup introduces new usecases for the parent firm's proprietary technologies.Building on these insights, the second chapter explores the consequences of litigationinitiated by startups against their CVC investors. Contrary to expectations, such litigationresults in increased CVC investments within the litigated domains. Specifically, corporateinvestors shift their strategies from repeated investments toward entirely new ventures andincrease syndication efforts with other investors.The third chapter transitions from financial to human capital, investigating how GenAIinfluences the composition of startup founding teams. Drawing upon the imprinting literature and recent research on AI's occupational exposure, I construct a measure of AIexposure at the career level among founding teams. The analysis suggests that GenAI maylead startups toward smaller founding teams that are demographically heterogeneous yetexhibit greater homogeneity in terms of AI exposure.Overall, this dissertation illuminates the interplay between technological advancements,corporate venture strategies, and human capital dynamics in startups. The theoretical insights and empirical findings provide valuable guidance for stakeholders aiming to fostereconomic growth through entrepreneurial innovation.
- 일반주제명
- Investors
- 일반주제명
- Chatbots
- 일반주제명
- Litigation
- 기본자료저록
- Dissertations Abstracts International. 87-05A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017360465
■00520260202105531
■006m o d
■007cr#unu||||||||
■020 ▼a9798263340179
■035 ▼a(MiAaPQ)AAI32309834
■035 ▼a(MiAaPQ)GeorgiaTech77863
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a332.6
■1001 ▼aDong, Thien.
■24510▼aNavigating New Frontiers: Corporate Venture Capital, Legal Dynamics, and the Generative Artificial Intelligence Revolution in Startups
■260 ▼a[Sl]▼bGeorgia Institute of Technology▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a286 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-05, Section: A.
■500 ▼aAdvisor: Thompson, Peter.
■5021 ▼aThesis (Ph.D.)--Georgia Institute of Technology, 2025.
■520 ▼aThis dissertation examines the impacts of corporate venture capital (CVC) investmentsand the emerging influence of generative AI (GenAI) on the financial and human capitaldimensions of startups.In the first chapter, I investigate how CVC investments affect startup performance,emphasizing the competitive dynamics between ventures and their parent corporations inproduct and technology markets. My findings reveal that ventures experience reduced funding and innovation outcomes as technological similarity with their corporate investors increases. However, this negative impact is mitigated when the startup introduces new usecases for the parent firm's proprietary technologies.Building on these insights, the second chapter explores the consequences of litigationinitiated by startups against their CVC investors. Contrary to expectations, such litigationresults in increased CVC investments within the litigated domains. Specifically, corporateinvestors shift their strategies from repeated investments toward entirely new ventures andincrease syndication efforts with other investors.The third chapter transitions from financial to human capital, investigating how GenAIinfluences the composition of startup founding teams. Drawing upon the imprinting literature and recent research on AI's occupational exposure, I construct a measure of AIexposure at the career level among founding teams. The analysis suggests that GenAI maylead startups toward smaller founding teams that are demographically heterogeneous yetexhibit greater homogeneity in terms of AI exposure.Overall, this dissertation illuminates the interplay between technological advancements,corporate venture strategies, and human capital dynamics in startups. The theoretical insights and empirical findings provide valuable guidance for stakeholders aiming to fostereconomic growth through entrepreneurial innovation.
■590 ▼aSchool code: 0078.
■650 4▼aInvestors
■650 4▼aChatbots
■650 4▼aLitigation
■690 ▼a0800
■690 ▼a0454
■71020▼aGeorgia Institute of Technology.
■7730 ▼tDissertations Abstracts International▼g87-05A.
■790 ▼a0078
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360465▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


