We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
Online ordering will be unavailable from 17:00 GMT on Friday, April 25 until 17:00 GMT on Sunday, April 27 due to maintenance. We apologise for the inconvenience.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure [email protected]
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
In this research, we explore how supply networks and board interlocks – as distinct, yet parallel interorganizational networks – jointly influence firms’ entry into new technology domains and exit from old technology domains. Drawing from the perspectives of social networks and organizational learning we highlight the relevance of the interdependency between these networks for a firm's technological entry and exit decisions. We argue that a firm that maintains a large number of supplier ties is more likely to enter new technology domains and exit from old technology domains instead. We further find empirical evidence that the degree centrality of a firm in its board interlock network strengthens these effects. Our theoretical arguments are supported through stochastic actor-based modeling analysis for the longitudinal and multilevel networks of 86 firms active in the Chinese automotive during 2011–2015. These findings inform the literature on interorganizational network dynamics as we insert relational pluralism to examine the complexities of organizational relationships as antecedents to a firms’ technological entry and exit. Finally, we imagine the implications of our analysis for management as they shed light on how multiple interorganizational relationships affect firms’ decisions on new technology entry and old technology exit.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.