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Venturing into the unknown with strangers: Substitutes of relational embeddedness in cross-border partner selection in venture capital syndicates
- Source :
- Journal of Business Venturing. 32:131-144
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Syndicating with prior partners through relationally embedded ties may be widespread, but not always optimal when investing across borders especially if few prior partners operate in the focal market. However, the substitutes of relational embeddedness for trust creation in cross-border partner selection are poorly understood. We develop and test a model of how relational embeddedness interacts with structural embeddedness and legal and normative institutions and how relational embeddedness and these three substitutes jointly affect cross-border partner selection in venture capital syndicates. We test the hypotheses in the context of cross-border venture capital syndication in 12 European countries. Our findings based on a case-control analysis suggest that although relational embeddedness is a key driver of future partnering, structural embeddedness and trust generating institutions such as high quality legal frameworks and industry associations facilitate cross-border partnering and diminish the need to rely on relationally embedded ties in cross-border partner selection.
- Subjects :
- ORGANIZATIONS
Embeddedness
media_common.quotation_subject
Social Sciences
EMERGING ECONOMIES
Context (language use)
International business
Institutions
1503 Business And Management
Business economics
INTERNATIONAL-BUSINESS
Business & Economics
Management of Technology and Innovation
0502 economics and business
Business
1502 Banking, Finance And Investment
Quality (business)
Business and International Management
Cross-border venture capital
Emerging markets
ta512
MARKET UNCERTAINTY
1505 Marketing
Industrial organization
media_common
SOCIAL-STRUCTURE
Web syndication
050208 finance
05 social sciences
STRATEGIC ALLIANCES
PERFORMANCE
Venture capital
Syndication
NETWORKS
Business & Management
Commerce
Partner selection
TRUST
LONGITUDINAL ANALYSIS
050203 business & management
Subjects
Details
- ISSN :
- 08839026
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Journal of Business Venturing
- Accession number :
- edsair.doi.dedup.....0b0c322b3502d9b6ce08eb141418a316