Management practices and SME performance

We examine the association between management practices and SME performance in Britain over the period 2011 -201 5, using a unique dataset which links survey data on management practices with firm performance data from the UK’s official business register. We find that SMEs are less likely to use formal management practices than larger firms . However, such practices appear to have demonstrable benefits for those SMEs who use them, being positively associated with firm survival, growth and productivity. Our results add further weight to policy initiatives which seek to encourage SMEs to improve their management skills and capabilities

New Model Unions: Options for the 21st Century

The purpose of this short paper is threefold. First we discuss the underlying properties of the dominant organisational model for trade unions in Britain. Second, we look at options for changing this organisational model. Third, we conclude by looking at what this might imply for the future operation and organisation of trade unions and their engagement with their members

Human Resource Management Diffusion and Productivity Imbalances

In this study, we explore spatial variance in management practices and assess its potential contribution to regional imbalances in productivity. The research builds on a growing body of evidence which indicates that differences in management practices can account for a substantial share of cross-country differences in total factor productivity, and which identifies an important role for management practices in explaining differences in productivity between firms in the UK. We contribute to this literature by studying regional variation in HRM and related management practices using workplace-level (i.e. plant-level) data in Britain, taken from the Workplace Employment Relations Survey (WERS). We use these data to map spatial variance in HRM intensity in Britain. We then seek to account for that variance and, in doing so, establish whether regional variance in HRM can help to account for regional variance in productivity. This analysis is complemented by a comparative investigation of equivalent data for France, where levels of productivity and HRM are both higher and less dispersed

Analytical and experimental investigation of aircraft metal structures reinforced with filamentary composites. Phase 3: Major component development

Analytical and experimental investigations, performed to establish the feasibility of reinforcing metal aircraft structures with advanced filamentary composites, are reported. Aluminum-boron-epoxy and titanium-boron-epoxy were used in the design and manufacture of three major structural components. The components were representative of subsonic aircraft fuselage and window belt panels and supersonic aircraft compression panels. Both unidirectional and multidirectional reinforcement concepts were employed. Blade penetration, axial compression, and inplane shear tests were conducted. Composite reinforced structural components designed to realistic airframe structural criteria demonstrated the potential for significant weight savings while maintaining strength, stability, and damage containment properties of all metal components designed to meet the same criteria

Meteorite cloudy zone formation as a quantitative indicator of paleomagnetic field intensities and cooling rates on planetesimals

Metallic microstructures in slowly-cooled iron-rich meteorites reflect the thermal and magnetic histories of their parent planetesimals. Of particular interest is the cloudy zone, a nanoscale intergrowth of Ni-rich islands within a Ni-poor matrix that forms below 350{\deg}C by spinodal decomposition. The sizes of the islands have long been recognized as reflecting the low-temperature cooling rates of meteorite parent bodies. However, a model capable of providing quantitative cooling rate estimates from island sizes has been lacking. Moreover, these islands are also capable of preserving a record of the ambient magnetic field as they grew, but some of the key physical parameters required for recovering reliable paleointensity estimates from magnetic measurements of these islands have been poorly constrained. To address both of these issues, we present a numerical model of the structural and compositional evolution of the cloudy zone as a function of cooling rate and local composition. Our model produces island sizes that are consistent with present-day measured sizes. This model enables a substantial improvement in the calibration of paleointensity estimates and associated uncertainties. In particular, we can now accurately quantify the statistical uncertainty associated with the finite number of islands and the uncertainty on their size at the time of the record. We use this new understanding to revisit paleointensities from previous pioneering paleomagnetic studies of cloudy zones. We show that these could have been overestimated but nevertheless still require substantial magnetic fields to have been present on their parent bodies. Our model also allows us to estimate absolute cooling rates for meteorites that cooled slower than 10000{\deg}C My-1. We demonstrate how these cooling rate estimates can uniquely constrain the low-temperature thermal history of meteorite parent bodies.Comment: Manuscript resubmitted after revision

Improved navigation by combining VOR/DME information with air or inertial data

The improvement was determined in navigational accuracy obtainable by combining VOR/DME information (from one or two stations) with air data (airspeed and heading) or with data from an inertial navigation system (INS) by means of a maximum-likelihood filter. It was found that the addition of air data to the information from one VOR/DME station reduces the RMS position error by a factor of about 2, whereas the addition of inertial data from a low-quality INS reduces the RMS position error by a factor of about 3. The use of information from two VOR/DME stations with air or inertial data yields large factors of improvement in RMS position accuracy over the use of a single VOR/DME station, roughly 15 to 20 for the air-data case and 25 to 35 for the inertial-data case. As far as position accuracy is concerned, at most one VOR station need be used. When continuously updating an INS with VOR/DME information, the use of a high-quality INS (0.01 deg/hr gyro drift) instead of a low-quality INS (1.0 deg/hr gyro drift) does not substantially improve position accuracy

Estimation using sampled-data containing sequentially correlated noise

Filtering, prediction, and smoothing procedures for multi-stage linear dynamic systems using sampled data with sequentially correlated nois