Can you have your Cake and Eat it too? Structural Holes' Influence on Status Accumulation and Market Performance in Collaborative Networks
By Andrew V. Shipilov, Stan Xiao Li. 2008
249 citations recorded by the source corpus.
Subfields: Accounting, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/19559c874110cf6ade2cec9a957f15b8ecec4136
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Mike W. Peng
- Sunny Li Sun
- W. Shi
- Brian C. Pinkham
- Haibin Yang
- Benjamin L. Hallen
- Zhiang Lin
- Kathleen M. Eisenhardt
In Strategy and Management
- Mike W. Peng
- Sunny Li Sun
- W. Shi
- Brian C. Pinkham
- Haibin Yang
- Zhiang Lin
- Benjamin L. Hallen
- Kathleen M. Eisenhardt
Citations in the corpus
- Catalyzing Strategies and Efficient Tie Formation: How Entrepreneurial Firms Obtain Investment Ties (2012, background): “At the network level, central positions provide broader information and greater status, and positions rich in “closure” (dense interconnections among partners) enhance trust (Powell, Koput, & Smith-Doerr, 1996; Shipilov & Li, 2008).”
- The interplay of need and opportunity in venture capital investment syndication (2010, unknown): “2001) or be considered attractive partners (Shipilov and Li, 2008).”
- Domestic alliance network to attract foreign partners: Evidence from international joint ventures in China (2014, background): “A local firm obtains higher value of eigenvector centrality by being connected to a group of partners Domestic alliance network to attract foreign partners Weilei (Stone) Shi et al that are themselves well connected (Jensen, 2008; Podolny, 2001; Shipilov & Li, 2008).”
- A multilevel framework of firm boundaries: Firm characteristics, dyadic differences, and network attributes (2010, methodology): “Researchers have also used network effective size to measure structural holes; however, this measure does not take into account indirect ties which may affect the information flows in a network (Shipilov and Li, 2008).”