Dishonest assistance and accessory liability

Dishonest Assistance and Accessory Liability, Paul S. Davies, Accessory Liability, Oxford: Hart Publishing, 2015, 294 pp, hb £54.99 In this essay review of Paul Davies' Accessory Liability, it is questioned whether dishonest assistance can be accommodated with other forms of third party liability in private law. It is argued that dishonest assistance does not involve the same conduct element as other forms of third party liability which are included in Davies’ book. Liability can arise for ‘weak’ causal links in dishonest assistance claims such as where a third party fails to intervene. It is also the case that liability can arise for involvement which arises ‘after the event’, which undermines Davies’ suggestion that there must be a causal link between a third party’s conduct and a primary wrong.

Marketing strategy : making sense of industry dynamics:is there still value in strategic group research?

This paper looks selectively at strategic group theory and seeks to explore the benefits and limitations of modern strategic group analysis within the context of practical strategy making in the pharmaceutical industry. The rise and fall of strategic group research is reviewed and suggestions advanced as to the reasons why strategic group research suffered criticism and frequently produced conflicting results. The paper concludes that strategic group research offers a valuable way to classify firms by their strategy and provides some suggestions as to how industry strategists may benefit from strategic group analysis and avoid the pitfalls exposed by previous research.

Purchase decision-making in fair trade and the ethical 'gap':'is there a fair trade twix?'

Children are increasingly being recognised as a significant force in the retail market place, as primary consumers, influencers of others, and as future customers. This paper adds to the literature on children as consumers by exploring their attitudinal responses to a specific group of products: Fair Trade lines. There has been no research to date that has specifically addressed children as consumers of Fair Trade or the ethical purchase decision-making process in this area. The methodological approach taken here is an essentially interpretive and naturalistic analysis of two focus groups of school children. The analysis found that there is an urgent need to develop meaningful Fair Trade brands that combine strong brand knowledge and positive brand images to bridge the ethical purchase gap between the formation of clear ethical attitudes and actual ethical purchase behaviour. Such an approach would both capture more of the children’s primary market and influence future purchase behaviour. It is argued that Fair Trade actors should coordinate new marketing communications campaigns that build brand knowledge structures holistically around the Fair Trade process and that extend beyond merely raising consumer awareness.

Structural limits and teachers' perspectives

This thesis is about the relationship between schooling and the economic and political structures which constrain its institutional framework. It focusses on teachers, as mediators of structural constraints, and on middle schools, as institutions which occupy a functionally transitional place between the primary and secondary traditions. In approaching the problem of linking the different perspectives of macro and micro sociologies, I argue the view that the individual mediates the contradictions between the socially cooperative processes of production and the competitive individualism which legitimates the private appropriation of wealth and income. The link is observable in the schooling process as a pattern of contradictions and tensions mediated by the rhetoric of equality of opportunity. In order to elucidate the link, the processes within the boundaried institutions must be viewed in the context of those changing tensions within the state administrative systems, which reverberate into schools as economic and political constraints. Framed within the ideology of the Flowden Report (1967), middle schooling was set within a discourse which stressed cooperative relationships rather than competitive standards. Since the mid-1970s, administrative policies have heightened the competitive battle for declining resources and attacked the Plowden ideology. Focussing the fieldwork on six middle schools in one local authority, T use an eclectic methodology to relate economic and political policies, generated in the state administrative system, to the situation in the schools between 1979 and 1981. The methodology incorporates a time dimension in order to highlight the tensions as they play upon teachers' changing definitions of the changing situation. I conclude that the intersubjective socio-cultural relations of schooling cannot be properly explained without making explicit the changing tensions in the rule/resource relationships which teachers mediate through their particular institutions.

Is there life in the old dogs yet? Making break-tests work on financial contagion

Many tests of financial contagion require a definition of the dates separating calm from crisis periods. We propose to use a battery of break search procedures for individual time series to objectively identify potential break dates in relationships between countries. Applied to the biggest European stock markets and combined with two well established tests for financial contagion, this approach results in break dates which correctly identify the timing of changes in cross-country transmission mechanisms. Application of break search procedures breathes new life into the established contagion tests, allowing for an objective, data-driven timing of crisis periods.

Uses of frontier efficiency methodologies and multi-criteria decision making for performance measurement in the energy sector

Guest editorial Ali Emrouznejad is a Senior Lecturer at the Aston Business School in Birmingham, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. He has published widely in various international journals. He is an Associate Editor of IMA Journal of Management Mathematics and Guest Editor to several special issues of journals including Journal of Operational Research Society, Annals of Operations Research, Journal of Medical Systems, and International Journal of Energy Management Sector. He is in the editorial board of several international journals and co-founder of Performance Improvement Management Software. William Ho is a Senior Lecturer at the Aston University Business School. Before joining Aston in 2005, he had worked as a Research Associate in the Department of Industrial and Systems Engineering at the Hong Kong Polytechnic University. His research interests include supply chain management, production and operations management, and operations research. He has published extensively in various international journals like Computers & Operations Research, Engineering Applications of Artificial Intelligence, European Journal of Operational Research, Expert Systems with Applications, International Journal of Production Economics, International Journal of Production Research, Supply Chain Management: An International Journal, and so on. His first authored book was published in 2006. He is an Editorial Board member of the International Journal of Advanced Manufacturing Technology and an Associate Editor of the OR Insight Journal. Currently, he is a Scholar of the Advanced Institute of Management Research. Uses of frontier efficiency methodologies and multi-criteria decision making for performance measurement in the energy sector This special issue aims to focus on holistic, applied research on performance measurement in energy sector management and for publication of relevant applied research to bridge the gap between industry and academia. After a rigorous refereeing process, seven papers were included in this special issue. The volume opens with five data envelopment analysis (DEA)-based papers. Wu et al. apply the DEA-based Malmquist index to evaluate the changes in relative efficiency and the total factor productivity of coal-fired electricity generation of 30 Chinese administrative regions from 1999 to 2007. Factors considered in the model include fuel consumption, labor, capital, sulphur dioxide emissions, and electricity generated. The authors reveal that the east provinces were relatively and technically more efficient, whereas the west provinces had the highest growth rate in the period studied. Ioannis E. Tsolas applies the DEA approach to assess the performance of Greek fossil fuel-fired power stations taking undesirable outputs into consideration, such as carbon dioxide and sulphur dioxide emissions. In addition, the bootstrapping approach is deployed to address the uncertainty surrounding DEA point estimates, and provide bias-corrected estimations and confidence intervals for the point estimates. The author revealed from the sample that the non-lignite-fired stations are on an average more efficient than the lignite-fired stations. Maethee Mekaroonreung and Andrew L. Johnson compare the relative performance of three DEA-based measures, which estimate production frontiers and evaluate the relative efficiency of 113 US petroleum refineries while considering undesirable outputs. Three inputs (capital, energy consumption, and crude oil consumption), two desirable outputs (gasoline and distillate generation), and an undesirable output (toxic release) are considered in the DEA models. The authors discover that refineries in the Rocky Mountain region performed the best, and about 60 percent of oil refineries in the sample could improve their efficiencies further. H. Omrani, A. Azadeh, S. F. Ghaderi, and S. Abdollahzadeh presented an integrated approach, combining DEA, corrected ordinary least squares (COLS), and principal component analysis (PCA) methods, to calculate the relative efficiency scores of 26 Iranian electricity distribution units from 2003 to 2006. Specifically, both DEA and COLS are used to check three internal consistency conditions, whereas PCA is used to verify and validate the final ranking results of either DEA (consistency) or DEA-COLS (non-consistency). Three inputs (network length, transformer capacity, and number of employees) and two outputs (number of customers and total electricity sales) are considered in the model. Virendra Ajodhia applied three DEA-based models to evaluate the relative performance of 20 electricity distribution firms from the UK and the Netherlands. The first model is a traditional DEA model for analyzing cost-only efficiency. The second model includes (inverse) quality by modelling total customer minutes lost as an input data. The third model is based on the idea of using total social costs, including the firm’s private costs and the interruption costs incurred by consumers, as an input. Both energy-delivered and number of consumers are treated as the outputs in the models. After five DEA papers, Stelios Grafakos, Alexandros Flamos, Vlasis Oikonomou, and D. Zevgolis presented a multiple criteria analysis weighting approach to evaluate the energy and climate policy. The proposed approach is akin to the analytic hierarchy process, which consists of pairwise comparisons, consistency verification, and criteria prioritization. In the approach, stakeholders and experts in the energy policy field are incorporated in the evaluation process by providing an interactive mean with verbal, numerical, and visual representation of their preferences. A total of 14 evaluation criteria were considered and classified into four objectives, such as climate change mitigation, energy effectiveness, socioeconomic, and competitiveness and technology. Finally, Borge Hess applied the stochastic frontier analysis approach to analyze the impact of various business strategies, including acquisition, holding structures, and joint ventures, on a firm’s efficiency within a sample of 47 natural gas transmission pipelines in the USA from 1996 to 2005. The author finds that there were no significant changes in the firm’s efficiency by an acquisition, and there is a weak evidence for efficiency improvements caused by the new shareholder. Besides, the author discovers that parent companies appear not to influence a subsidiary’s efficiency positively. In addition, the analysis shows a negative impact of a joint venture on technical efficiency of the pipeline company. To conclude, we are grateful to all the authors for their contribution, and all the reviewers for their constructive comments, which made this special issue possible. We hope that this issue would contribute significantly to performance improvement of the energy sector.

Public and private hospital services reform:an investigation in Iranian hospitals

This research aimed to present a model of efficiency for selected public and private hospitals of East Azerbaijani province of Iran by making use of DEA approach in order to recognize and suggest the best practice standards. In other words, its aim was to suggest a suitable context to develop efficient hospital systems while maintaining the quality of care at minimum expenditures. It is recommended for inefficient hospitals to make use of the followings: transferring, selling, or renting idle/unused beds; transferring excess doctors and nurses to the efficient hospitals or other health centers; pensioning off, early retirement clinic officers, technicians/technologists, and other technical staff. The saving obtained from the above approaches could be used to improve remuneration for remaining staff and quality of health care services of hospitals, rural and urban health centers, support communities to start or sustain systematic risk and resource pooling and cost sharing mechanisms for protecting beneficiaries against unexpected health care costs, compensate the capital depreciation, increasing investments, and improve diseases prevention services and facilities in the provincial and national levels.