Knowledge mediation and overlapping in interfirm networks

Purpose – The literature on interfirm networks devotes scant attention to the ways collaborating firms combine and integrate the knowledge they share and to the subsequent learning outcomes. This study aims to investigate how motorsport companies use network ties to share and recombine knowledge and the learning that occurs both at the organizational and dyadic network levels. Design/methodology/approach – The paper adopts a qualitative and inductive approach with the aim of developing theory from an in-depth examination of the dyadic ties between motorsport companies and the way they share and recombine knowledge. Findings – The research shows that motorsport companies having substantial competences at managing knowledge flows do so by getting advantage of bridging ties. While bridging ties allow motorsport companies to reach distant and diverse sources of knowledge, their strengthening and the formation of relational capital facilitate the mediation and overlapping of that knowledge. Research limitations/implications – The analysis rests on a qualitative account in a single industry and does not take into account different types of inter-firm networks (e.g. alliances; constellations; consortia etc.) and governance structures. Cross-industry analyses may provide a more fine-grained picture of the practices used to recombine knowledge and the ideal composition of inter-firm ties. Practical implications – This study provides some interesting implications for scholars and managers concerned with the management of innovation activities at the interfirm level. From a managerial point of view, the recognition of the different roles played by network spanning connections is particularly salient and raises issues concerning the effective design and management of interfirm ties. Originality/value – Although much of the literature emphasizes the role of bridging ties in connecting to diverse pools of knowledge, this paper goes one step further and investigates in more depth how firms gather and combine distant and heterogeneous sources of knowledge through the use of strengthened bridging ties and a micro-context conducive to high quality relationships.

Coverage overlapping problems in applications of IEEE 802.15.4 wireless sensor networks

IEEE 802.15.4 standard is a relatively new standard designed for low power low data rate wireless sensor networks (WSN), which has a wide range of applications, e.g., environment monitoring, e-health, home and industry automation. In this paper, we investigate the problems of hidden devices in coverage overlapped IEEE 802.15.4 WSNs, which is likely to arise when multiple 802.15.4 WSNs are deployed closely and independently. We consider a typical scenario of two 802.15.4 WSNs with partial coverage overlapping and propose a Markov-chain based analytical model to reveal the performance degradation due to the hidden devices from the coverage overlapping. Impacts of the hidden devices and network sleeping modes on saturated throughput and energy consumption are modeled. The analytic model is verified by simulations, which can provide the insights to network design and planning when multiple 802.15.4 WSNs are deployed closely. © 2013 IEEE.

Femtosecond inscription of superimposed, non-overlapping fibre Bragg gratings

A method for direct inscription of fibre Bragg gratings laterally separated by inscription in separate segments of the fibre core is demonstrated for the first time.

Coverage overlapping problems in applications of IEEE 802.15.4 wireless sensor networks

IEEE 802.15.4 standard is a relatively new standard designed for low power low data rate wireless sensor networks (WSN), which has a wide range of applications, e.g., environment monitoring, e-health, home and industry automation. In this paper, we investigate the problems of hidden devices in coverage overlapped IEEE 802.15.4 WSNs, which is likely to arise when multiple 802.15.4 WSNs are deployed closely and independently. We consider a typical scenario of two 802.15.4 WSNs with partial coverage overlapping and propose a Markov-chain based analytical model to reveal the performance degradation due to the hidden devices from the coverage overlapping. Impacts of the hidden devices and network sleeping modes on saturated throughput and energy consumption are modeled. The analytic model is verified by simulations, which can provide the insights to network design and planning when multiple 802.15.4 WSNs are deployed closely. © 2013 IEEE.

Overlapping of legal concepts:classifying the law of trusts

The purpose of this piece is to explain how the trust concept fits the overlapping analysis, presenting an example of why discrete categorisation is often unhelpful in understanding the operation of legal concepts.

Reduction of nonlinear intrachannel effects by channel asymmetry in transmission lines with strong bit overlapping

We have examined the statistics of simulated bit-error rates in optical transmission systems with strong patterning effects and have found strong correlation between the probability of marks in a pseudorandom pattern and the error-free transmission distance. We discuss how a reduced density of marks can be achieved by preencoding optical data.

Abolishing the Audit Commission:framing, discourse coalitions and administrative reform

The abolition of the Audit Commission in England raises questions about how a major reform was achieved with so little controversy, why the agency lacked the institutional stickiness commonly described in the literature on organisational reform and why it did not strategise to survive. In this paper, we apply argumentative discourse analysis to rich empirical data to reveal the pattern and evolution of storylines and discourse coalitions, and the ways in which these interact with and affect the practices of Parliament, the media and the Audit Commission itself. Our analysis shows that the politics of administrative reform are as much about discursive framing and the ability of pro-reformers to gain discursive structuration and institutionalisation as they are about the material resources available to a newly elected government and its ministers. Questions of technical feasibility are unlikely to derail a reform initiative once its promoters gain discursive ascendency.

Corporate coalitions and policy making in the European Union:how and why British American tobacco promoted "better regulation"

Over the past fifteen years, an interconnected set of regulatory reforms, knownas Better Regulation, has been adopted across Europe, marking a significant shift in theway that European Union policies are developed. There has been little exploration of the origins of these reforms, which include mandatory ex ante impact assessment. Drawing on documentary and interview data, this article discusses how and why large corporations, notably British American Tobacco (BAT), worked to influence and promote these reforms. Our analysis highlights (1) howpolicy entrepreneurs with sufficient resources (such as large corporations) can shape the membership and direction of advocacy coalitions; (2) the extent to which "think tanks" may be prepared to lobby on behalf of commercial clients; and (3) why regulated industries (including tobacco) may favor the use of "evidence tools," such as impact assessments, in policy making. We argue that a key aspect of BAT's ability to shape regulatory reform involved the deliberate construction of a vaguely defined idea that could be strategically adapted to appeal to diverse constituencies.We discuss the theoretical implications of this finding for the Advocacy Coalition Framework, as well as the practical implications of the findings for efforts to promote transparency and public health in the European Union.

Advocacy coalitions:influencing the policy process in the EU

The aim of this contribution is to critically evaluate one of the theoretical approaches used to study the European Union (EU) political system and interest groups activity: the advocacy coalition framework (ACF). ACF considers that the outcome of legislative procedures is influenced by the alignment and role played by advocacy coalitions. This contribution assesses the impact of ACF on our understanding of the influences on the EU policy processes, highlighting the strengths and weaknesses of the approach. The main argument is that the ACF, although very useful in studying the EU political system, shows shortcomings when applied to the study of EU interest groups' performance. The contribution ends with a consideration of future directions for theoretical and empirical ACF research, alone and as part of wider integrated theoretical approaches to understanding the dynamics of influence in the EU. © 2013 Copyright Taylor and Francis Group, LLC.

The overlapping of legal concepts:a legal realist approach to the classification of private law

The thesis presented an overlapping analysis of private law institutions, in response to the arguments that law must be separated into discrete categories. The basis of this overlapping approach was the realist perspective, which emphasises the role of facts and outcomes as the starting point for legal analysis as opposed to legal principle or doctrine.

Numerical investigation of all-optical add-drop multiplexing for spectrally overlapping OFDM signals

We propose a novel architecture for all-optical add-drop multiplexing of OFDM signals. Sub-channel extraction is achieved by means of waveform replication and coherent subtraction from the OFDM super-channel. Numerical simulations have been carried out to benchmark the performance of the architecture against critical design parameters.

Identifying spatially overlapping local cortical networks with MEG

Recent modelling studies (Hadjipapas et al. [2009]: Neuroimage 44:1290-1303) have shown that it may be possible to distinguish between different neuronal populations on the basis of their macroscopically measured (EEG/MEG) mean field. We set out to test whether the different orientation columns contributing to a signal at a specific cortical location could be identified based on the measured MEG signal. We used 1.5deg square, static, obliquely oriented grating stimuli to generate sustained gamma oscillations in a focal region of primary visual cortex. We then used multivariate classifier methods to predict the orientation (left or right oblique) of the stimuli based purely on the time-series data from this one location. Both the single trial evoked response (0-300 ms) and induced post-transient power spectra (300-2,300 ms, 20-70 Hz band) due to the different stimuli were classifiable significantly above chance in 11/12 and 10/12 datasets respectively. Interestingly, stimulus-specific information is preserved in the sustained part of the gamma oscillation, long after perception has occurred and all neuronal transients have decayed. Importantly, the classification of this induced oscillation was still possible even when the power spectra were rank-transformed showing that the different underlying networks give rise to different characteristic temporal signatures. © 2009 Wiley-Liss, Inc.