2007
DOI: 10.1057/palgrave.emr.1500083
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Partners in power: job mobility and dynamic deal‐making

Abstract: This research considers how the connectedness of venture capital (VC) firms changes with the job mobility of managers between those firms. A continuous‐time Markov chain model is developed to test whether managers are able to ‘drag’ prior inter‐firm relational ties with them as they move between employing firms. The findings support the hypothesis that increasing the stock of managers is material to creating inter‐firm ties. However, managers are not found to drag their prior links to new network positions. Th… Show more

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Cited by 20 publications
(6 citation statements)
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“…These relational changes can be considered to be the outcome of the structural position of the actors within the network (as in the case of forming a tie to somebody because he/she is the friend of a friend), characteristics of the actor (e.g., some actors might be more or less attractive because of an attribute they possess), or characteristics of pairs of actors (for example, when two actors form a tie because they share a certain attribute). SAOM’s have now been widely used for the study of network dynamics (van Duijn et al , 2003; van de Bunt et al , 2005; de Nooy, 2002; Schaefer et al, 2011) and the co-evolution of networks and actor behavior (Checkley & Steglich, 2007; Burk et al, 2007; Pearson et al , 2006; Steglich et al , 2010; Lewis et al, 2012). …”
Section: Methodsmentioning
confidence: 99%
“…These relational changes can be considered to be the outcome of the structural position of the actors within the network (as in the case of forming a tie to somebody because he/she is the friend of a friend), characteristics of the actor (e.g., some actors might be more or less attractive because of an attribute they possess), or characteristics of pairs of actors (for example, when two actors form a tie because they share a certain attribute). SAOM’s have now been widely used for the study of network dynamics (van Duijn et al , 2003; van de Bunt et al , 2005; de Nooy, 2002; Schaefer et al, 2011) and the co-evolution of networks and actor behavior (Checkley & Steglich, 2007; Burk et al, 2007; Pearson et al , 2006; Steglich et al , 2010; Lewis et al, 2012). …”
Section: Methodsmentioning
confidence: 99%
“…As collaboration is characterized by mutual activity, and not just the flow of resources or communication, the authors symmetrized the matrix of relations (see also Andrew, 2009;Checkley & Steglich, 2007 who symmetricized collaborative ties among organizations for similar reasons), resulting in a nondirected network containing 94 INGOs and 100 reciprocated ties (average degree = 1.06). These ties were the "links with" ties described above, as the YIO only records the tie in the record of the party that reported the uncorroborated relationship.…”
Section: Definitions Of Variables and Analysismentioning
confidence: 99%
“…Bygrave (1987, 1988), Cumming (2005), , Dal-Pont Legrand and Pommet (2010), Deli and Santhanakrishnan (2010) Fritsch and Schilder (2008), Lerner (1994), Wright (1999, 2001), Manigart et al (2006), Michie (1981) Bottazzi et al (2008, Checkley and Steglich (2007), Cumming et al (2005), Dimov and De Clercq (2006), Mäkelä and Maula (2005, 2006 Brander et al (2002) Checkley (2009), Cumming (2006b), Cumming and Dai (2010), , Das et al (2011), Filatotchev et al (2005, 2006, Fleming (2004), Dimov and De Clercq (2006), Giot and Schwienbacher (2007) (2011) Hellmann (2002), Stromberg (2003, 2004), Meuleman et al (2010), Tykvová (2007) Cumming and Dai (2010), Dushnitsky and Shapira (2010), Nahata (2008) Networks and interorganizational relationships Milanov (2010) De Clercq et al (2008), Hopp (2008Hopp ( , 2010aHopp ( , 2010b; Hopp and Rieder (2011)), Keil et al (2010), Meuleman et al (2010), Stuart (2008, 2001), Trapido (2007), Wright and Lockett (2003),…”
Section: Vc-level Theorizingmentioning
confidence: 99%