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Explains that the extent and pace of change throughout British industry has been increasingly dramatically, resulting in major job losses, and the remaining employees or survivors of such change often experience the effects as deeply as those who are made redundant. Notes that, although many organizations invest time and resource in exiting people, they do little to help those who stay, and yet the successful transformation of organizations relies heavily on managing these people through the transitions. Examines data from a case study of British Telecom and survey data from the financial services sector. Illustrates, from the combination of case and survey data, the impact of such organizational change on the survivors. Indicates that few organizations appear to provide structured help at the appropriate level and intensity. Suggests that organizations will have to do more for their survivors to establish a new psychological contract.

Traceability is an increasingly important tool for reducing food safety risks and managing supply logistics. Given the costs of implementing and maintaining traceability systems, it is crucial to understand consumer willingness to pay (WTP) for traceable products.

The authors conducted a scoping review to collate the existing literature on consumer WTP for traceability in food products to determine the nature of the evidence base and to identify research gaps.

A total of 77 articles were included in the review. The number of studies published per year generally increased over the review period, and China and the United States were the most common countries in which studies were conducted (43.6 and 14.1% of total studies, respectively). All but one of the studies investigated at least one factor that might influence consumer WTP for traceability, the most common of which was socio-demographic characteristics (72.7%). Three-quarters of studies used hypothetical methods to elicit WTP values (75.3%), whereas one-quarter used non-hypothetical methods (24.7%). Most studies included some measure of preference heterogeneity (83.1%).

There is some potential for systematic bias in the evidence due to the predominance of studies from only a few countries and the possible presence of hypothetical bias. These potential biases could be corrected through future research.

To the authors’ knowledge, no previous study systematically and comprehensively identifies and summarizes the evidence base on consumer WTP for traceable food products.

Reviews the critical issues in gaining acceptance for a new library at Cranfield University. Describes how the project was implemented, including the selection of the architect, the management of the project and the key features of the building. Also considers the impact of information technology on the need for new library buildings and presents this issue in the context of the access versus holdings debate. Concludes with an account of user reaction to the Sir Norman Foster building, together with the prospects for new library building in the future in the United Kingdom.

Explains the background, context and operation of the Cranfield University Library BIODOC Research Project which explores key issues in the access versus journal holdings debate. Hopes to test whether an access model of provision in certain circumstances provides more cost effective and appropriate information support than the traditional in‐house collection. The project involves the cancellation of all the library journal subscriptions for the Biotechnology Centre and their replacement by the UnCover Reveal current contents service and as document supply from a number of sources. Describes the factors such as rising periodical costs, availability of new electronic document delivery services, increasing use of e‐mail by academics that led to the experiment; and the reasons for the selection of the Biotechnology Centre as an appropriate partner. Describes the project management and everyday operation of the project and the design of the project to include data collection for evaluation. Includes consideration of the issue of copyright.

The most successful companies want to remain successful and are continuously trying to improve their manufacturing operations. How and why these changes are decided, upon and driven through to implementation is of interest to all companies in any particular manufacturing sector. The research described in this paper looks at the drivers of change in UK clothing manufacturing companies. Clothing manufacturers face competitive pressures just as in other industries, but the sector has sonic particular characteristics. In the UK clothing industry, retailers rather than manufacturers dominate the list of key players. This concentration of retail buying power is coupled with intense competition in the home market from overseas and a highly negative balance of trade. The factors investigated as potential drivers of change included:

Cluster analysis provides a statistical method whereby unknown groupings of similar attributes can be identified from a mass of data and is well‐known within marketing and a wide range of other disciplines. This paper seeks to describe the use of cluster analysis in an unusual setting to classify a large sample of dyadic, highly interdependent, supply chain relationships based upon the quality of their interactions. This paper aims to show how careful attention to the detail of research design and the use of combined methods leads to results that both are useful to managers and make a contribution to knowledge.

Data relating to 55 monopolistic relationships in the UK defence procurement sector were collected. Hierarchical cluster analysis using Wards method was undertaken on scores from five dimensions measuring relationship satisfaction. The resulting clusters are described in terms of the scores on the dimensions and also in terms of their relationships with data, quantitative and qualitative, exogenous to the clusters.

The analysis reveals five distinct clusters of relationships. Statistically significant differences are evident in the scores on the five dimensions of satisfaction with respect to these clusters. These scores lead to the labels “Poor 1” “Moderate 2” “Moderate 3” and “Good 4” being assigned to the clusters. The clusters display statistically significant relationships with a number of the exogenous variables including the value of the contract and the age of the technology involved. Relationships with the exogenous qualitative data are indicative of the validity of the clusters.

This paper takes a novel approach to gaining an understanding of relationships through the use of hierarchical cluster analysis. This provides an elegant way of exposing the influences on relationship satisfaction at a disaggregate level which are not possible by taking an aggregate approach. This will be of particular interest to researchers who are seeking patterns in large data sets and practitioners who can identify better practice guidelines when working within supply chain relationships. The disaggregate approach using cluster analysis provides extraordinarily detailed insights into relationship patterns.

It is well known that alloys, based on iron, were exposed to steam oxidation environment producing thick and non-protective oxide scale. More expensive stainless steels contain more Cr and are able to form more protective scales. The purpose of this research was to show ability to employ nitride coating on different alloys (T23, T91, E1250, 347HFG and HR3C) in order to enhance steam oxidation resistance.

The alloys were exposed to steam oxidation rig. Before the test, furnace was purged by nitrogen in order to remove moisture and oxygen. Di-ionised water was pumped from the reservoir using a peristaltic pump into the furnace. System was kept in the closed circle. To reduce solubility of oxygen, di-ionised water was constantly purged by nitrogen. The total exposure time was 2,000 h at 650°C under 1 bar pressure.

Due to the research, it was found that plasma nitriding process is detrimental for the protection of high-temperature structured materials; the high concentration and high activity of Cr produced a CrN phase. This phase is not stable in steam environment and underwent oxidation to Cr₂O₃ and further into volatile phase (CrO₂(OH)₂). Therefore, austenitic steels (E1250, 347HFG and HR3C) coated with nitride coating deposited by plasma nitriding process suffered similar degradation as the uncoated low Cr ferritic steel.

The main limitation of the research conducted in this study was corrosion resistance of the exposed materials.

To the best of the authors' knowledge, this report is the first of its kind to present nitrided alloys (ferritic and austenitic) exposed in steam oxidation.

A sample of 782 manufacturing plants drawn from the UK Best Factor Awards database was used to investigate the nature of trade‐offs between different measures of manufacturing performance. Each plant was ranked within its industry on each performance measure, a high ranking indicating good performance on that measure and a low ranking indicating poor performance. By comparing the ranking of each plant within its industry on each performance measure it was possible to determine the extent to which good performance on one measure was correlated with good performance on other measures. Rankings on added value per employee £, quality consistency, delivery reliability, speed of delivery and the rate of new product introduction were positively correlated, suggesting that good performance on each of these factors is associated with good performance on the rest. Only the extent to which a plant exhibited product variety showed conventional trade‐off characteristics, being negatively correlated with rankings on added value per employee £ and the rate of new product introduction. This implies that, provided that individual operating units can be organized so that each is focused on a relatively narrow product range, trade‐offs can be avoided.

This report presents the preliminary findings of a research study to determine the factors which enable a manufacturing plant to simultaneously achieve high labour productivity, fast, reliable delivery and high quality consistency. The conclusions are based on analysis of a database containing details of 953 manufacturing plants in the UK. Based on the performance measures mentioned above, a composite performance measure was calculated for each plant in the database. The plants were then divided into groups of high performers, medium performers and low performers. Using statistical analysis, those differences between the high and low‐performing plants that were significant were identified. The main factors differentiating high‐performing plants from the rest were those associated with low process variability, high schedule stability and more reliable deliveries by suppliers.