The effects of changes in recycling patterns on United Kingdom resource consumption

Recycling, substitution and product life extension are identified as significant factors contributing to an extension of the time to exhaustion of industrially Dnportant materials. A quantitative assessment of the significance of virtually all materials to the U.K. is made. Copper is identified as one of the most important materials deserving of further investigation into potential resource savings through increased recycling. The other factors listed above are accounted for in the modelling technique employed. United Kingdom copper flows are qualitatively and statistically described for the years 1949 - 1976. Less accurate statistics are developed for 1922 - 1948. Adaptive expectations type causal models of total, unalloyed, and alloyed copper demand are successfully constructed and are used to generate future scenarios. Evidence is demonstrated for a break in the historical link between U.K. copper demand and industrial production. Simple causal models of potential copper scrap supply are constructed and a comparison made with actual old scrap withdrawals. Accurate adaptive expectations type models of total scrap demand are developed, but no conclusion is reached about the price elasticity of scrap demand. Various scenarios of copper goods demand are forecast and their effect on copper scrap demand. The potential to recover up to an extra 100.000 tonnes/year of generally lower grade old scrap is identified. Policy options are examined and the following recommendations made: 1) A total investment of up to £67 million in secondary refining capacity by the year 2000 is needed. 2) The copper scrap content of copper bearing goods should be specified to aid recovery. 3) A U.K. copper scrap buffer stock scheme would be advantageous for the secondary copper industry. Finally the methodology used is summarised for potential application to other materials.

Team effectiveness: a test of in-put process-output

This research addressed the question: "Which factors predict the effectiveness of healthcare teams?" It was addressed by assessing the psychometric properties of a new measure of team functioning with the use of data collected from 797 team members in 61 healthcare teams. This new measure is the Aston Team Performance Inventory (ATPI) developed by West, Markiewicz and Dawson (2005) and based on the IPO model. The ATPI was pilot tested in order to examine the reliability of this measure in the Jordanian cultural context. A sample of five teams comprising 3-6 members each was randomly selected from the Jordan Red Crescent health centers in Amman. Factors that predict team effectiveness were explored in a Jordanian sample (comprising 1622 members in 277 teams with 255 leaders from healthcare teams in hospitals in Amman) using self-report and Leader Ratings measures adapted from work by West, Borrill et al (2000) to determine team effectiveness and innovation from the leaders' point of view. The results demonstrate the validity and reliability of the measures for use in healthcare settings. Team effort and skills and leader managing had the strongest association with team processes in terms of team objectives, reflexivity, participation, task focus, creativity and innovation. Team inputs in terms of task design, team effort and skills, and organizational support were associated with team effectiveness and innovation whereas team resources were associated only with team innovation. Team objectives had the strongest mediated and direct association with team effectiveness whereas task focus had the strongest mediated and direct association with team innovation. Finally, among leadership variables, leader managing had the strongest association with team effectiveness and innovation. The theoretical and practical implications of this thesis are that: team effectiveness and innovation are influenced by multiple factors that must all be taken into account. The key factors managers need to ensure are in place for effective teams are team effort and skills, organizational support and team objectives. To conclude, the application of these findings to healthcare teams in Jordan will help improve their team effectiveness, and thus the healthcare services that they provide.

IPOs, clustering, indirect learning and filing independently

IPO underpricing has been attributed to valuation uncertainty, which can be at least partially resolved by the indirect learning associated with IPO clustering [Benveniste, L.M., Ljungqvist, A., Wilhelm, W.J., Yu, X.Y., 2003. Evidence of information spillovers in the production of investment banking services. Journal of Finance 58, 577–608]. We examine why firms might choose not to issue their IPOs contemporaneously with clusters of similar firms, forgoing opportunities to learn from their peers. We find that the willingness to file an IPO without the benefit of indirect learning from peer firm IPOs is directly related to insiders’ needs for portfolio diversification and the firm’s need to raise capital.