بایگانی برچسب برای: Capabilities

The-dynamic-impact-of-innovative-capability-.[taliem.ir]

The dynamic impact of innovative capability and inter-firm network on firm valuation: A longitudinal study of biotechnology start-ups

Prior research suggests that a high technology start-up's innovative capability and inter-firm network influence its performance and consequently, firmvaluation. Few studies consider their joint influence and even fewer consider the temporal change of those effects on firm valuation. In this study, we propose that firm age, a key organizational variable, represents both the development of organizational routines from a start- up's perspective and the accumulation of accessible information from an investor's viewpoint. As such, an investor's evaluation of a high technology start-up's innovative capability and inter-firm network evolves with firm age. Using panel data of 170 biotechnology start-ups, our results suggest that the relative value of network status declines while the impact of innovative capability increases with firm age. Interestingly, there is a growing complementary effect of innovative capability and network heterogeneity on firm valuation. The implications of these findings for entrepreneurial practice and theories of firm capabilities and interfirm network are discussed.
CogNet A Network Management Architecture[taliem.ir]

CogNet: A Network Management Architecture Featuring Cognitive Capabilities

It is expected that the fifth generation mobile networks (5G) will support both human-to-human and machine-tomachine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for managing the network due to the diversity and the sheer size of the network. It will be necessary for the network to largely manage itself and deal with organisation, configuration, security, and optimisation issues. This paper proposes an architecture of an autonomic selfmanaging network based on Network Function Virtualization, which is capable of achieving or balancing objectives such as high QoS, low energy usage and operational efficiency. The main novelty of the architecture is the Cognitive Smart Engine introduced to enable Machine Learning, particularly (near) realtime learning, in order to dynamically adapt resources to the immediate requirements of the virtual network functions, while minimizing performance degradations to fulfill SLA requirements. This architecture is built within the CogNet European Horizon 2020 project, which refers to Cognitive Networks.