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  • 1.
    Bagley, Mark
    Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE). Centre for Innovation, Research and Competence in the Learning Economy (CIRCLE), Lund University, Lund, Sweden.
    Small worlds, inheritance networks and industrial clusters2019In: Industry and Innovation, ISSN 1366-2716, E-ISSN 1469-8390, Vol. 26, no 7, p. 741-768Article in journal (Refereed)
    Abstract [en]

    The performance of firms within industrial clusters has been the subject of a multitude of studies. The organizational attributes inherited by spinoffs from parent firms is one explanation behind performance premiums. This paper examines the relationship between a spinoff’s network and its geographic location in an industrial cluster. We hypothesize that there is a negative relationship between a spinoff’s network efficiency and its distance from the cluster’s centroid. Although recent literature infers that the transmission of knowledge in industrial clusters is accomplished via inherited network ties, this has not been directly measured. This paper aims to fill that research gap. We find that, after controlling for firm size, parent size and age, there is indeed a statistically significant and negative relationship between network efficiency and geographic distance to a cluster’s core. 

  • 2.
    Bagley, Mark
    Jönköping University, Jönköping International Business School, JIBS, Economics.
    The birth, life and death of firms in industrial clusters: The role of knowledge networks2017Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Three single-authored papers in this thesis will explore the role of knowledge and information in industrial clusters; and specifically, how knowledge plays a role inthe emergence and persistence of clusters. This thesis places a major emphasis on spinoff firms.

    The first paper uses a computational model to describe how patterns of industrial clustering arise with respect to the size of an initial firm when measured in terms of innovation. Technology is qualitatively described using a code set mapped on a cognitive space. Assuming inheritability of networking skills, I seek to model how the size of an initial firm influences future patterns of cluster formation through a model of technical cognition and a mimicking of creativity. Replicating the stylized facts of entrepreneurial cluster formation, we find initial firm size has a lasting impact on clustering patterns through its influence on the level of cognitive distance of the underlying agents.

    The second paper turns to networks as a tool of analysis to explore the relationship between a spinoff’s network and its geographical location within an industrial cluster. Although recent literature infers that the transmission of organizational attributes in industrial clusters is accomplished via passive network ties, this has not been directly measured. After controlling for firm size, parent size and age, we find that there a statistically significant and negative relationship between network efficiency and geographic distance to a cluster’s core.

    The third and final paper extends the use of networks to examine how knowledge flows, as conduits for routines and skills, affect the survival prospects for firms in industrial clusters. We consider knowledge transmission via two channels: those from inherited linkages and those from geographic proximity. It is found that a firm’s historical links formed through parent-spinoff networks have a significant impact on survival, which differ depending on the motivations of the entrepreneur. Moreover, the gains with respect to location are found to be nonlinear.

  • 3.
    Bagley, Mark J. O.
    Jönköping University, Jönköping International Business School, JIBS, Economics. Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE). Institute of Innovation and Entrepreneurship, University of Gothenburg, Gothenburg, Sweden.
    Networks, geography and the survival of the firm2019In: Journal of evolutionary economics, ISSN 0936-9937, E-ISSN 1432-1386, Vol. 29, no 4, p. 1173-1209Article in journal (Refereed)
    Abstract [en]

    Prior studies show that the success of firms in industrial clusters is the result of two main reasons; the transfer of knowledge and routines from parent firms to spinoffs that locate in the same locality, and the returns from co-location. While previous research has largely inferred the presence of parent-spinoff networks, few studies have measured them. Furthermore, the lack of geographic precision has led to conflicting results for evidence of returns from location, as the gains from geographic proximity may not always be linear. This paper introduces network measurement and a refined geographic measure to separate these two respective channels of knowledge transfer, and analyzes their impact on firm survival (as a proxy for firm success). It is found that the gains with respect to location are nonlinear. Furthermore, a firm’s historical links formed through parent-spinoff linkages have a significant impact on survival, which differ depending on the motivations of the entrepreneur. Moreover, these channels of knowledge are complementary in nature.

  • 4.
    Bagley, Mark J. O.
    Jönköping University, Jönköping International Business School, JIBS, Economics.
    Networks in clustersManuscript (preprint) (Other academic)
    Abstract [en]

    There is a multitude of studies that examine the performance of firms within industrial clusters. The organizational attributes inherited by spinoffs from parent firms is one explanation behind performance premiums. This paper examines the relationship between a spinoff’s network and its geographical location in an industrial cluster. We hypothesize that there is a negative relationship between a spinoff’s network efficiency and its distance from the cluster’s centroid. Although recent literature infers that the transmission of knowledge in industrial clusters is accomplished via passive network ties, this has not been directly measured. This paper aims to fill that research gap. We find that, after controlling for firm size, parent size and age, there is indeed a statistically significant and negative relationship between network efficiency and geographic distance to a cluster’ score.

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