External communication behaviour of purchasers—effects on supplier management performance

This article presents findings of a research effort that focuses on the relationships among the external communication behaviour of purchasers, individual and contextual factors and the performance in supplier management. Communication quantity, openness and friendliness were identified as dimensions of individual communication behaviour. Information and relationship quality were used as the two dimensions of communication quality. The results, based on structural equation analysis, provide support for the positive influence of individual communication behaviour on communication quality and supplier management performance. Results suggest that relationship quality appears to be of great significance in the model. Oral communication capability and purchasers’ attitudes towards individual communication with suppliers also play important roles in explaining external communication behaviour of purchasers.     

Categorizing risks in seven large projects—Which risks do the projects focus on?

In a hierarchy of project objectives, strategic objectives will often be principally different from the operational ones. Operational objectives concern the project outputs/results, and strategic objectives concern the project goal and purpose. In this study, risks are categorized as risks to operational, long‐term, or short‐term strategic objectives, and, by studying a dataset of some 1,450 risk elements that make up the risk registers of seven large projects, we examine how operational and strategic risks are distributed in the projects. The study strongly indicates that risks to a project's strategic objectives rarely occur in the project's risk registers, though project success and failure stories indicate their importance.     

THE EFFECTS OF ECONOMIC REGULATION IN THE ISTANBUL TAXICAB MARKET

This paper discusses the regulation of the Istanbul taxicab market and its consequences. While price and entry regulations are common to many taxi markets, there are significant differences in their institutional frameworks. We examine the problems of the Istanbul market and offer recommendations to improve its efficiency.     

Volunteerism,compassion and religiosity as drivers of donations practices

• The topic of donations is one of high relevance and has been widely covered in contemporary marketing literature. It is a topic of interest to both theoreticians and practitioners alike, particularly due to its implicit links to fundraising activities and research. The reality of what makes an individual donor ultimately part with his money and give it away to a nonprofit organization is a hot contemporary topic. This study looks into the role of religiosity as a predictor of donations practices. Also volunteerism and compassion, two acts of pro‐social behaviour are analysed as predictors of donations practices. Using data collected from a survey of 612 charity donors in Portugal, the results show unequivocally that religiosity does influence donations practices, and so being a predictor of donations practices. Moreover, pro‐social behaviour is a predictor of donations practices when in the case of volunteerism, but not in the form of compassion.
• The findings are particularly useful for nonprofit organizations that want to attract and retain individual charitable donors and may also help to increase donation regularity, to obtain higher amounts, and donations both to religious and to secular organizations. Finally, it can be stated that the understanding of religiosity sheds light on knowledge about donations practices, and that this study also makes an important contribution to academia, as it is the first study conducted in Portugal that assesses the drivers of donations practices.

Copyright © 2015 John Wiley & Sons, Ltd.     

Disclosure‐protected Inference Using Generalised Linear Models

Vast amounts of data that could be used in the development and evaluation of policy for the benefit of society are collected by statistical agencies. It is therefore no surprise that there is very strong demand from analysts, within business, government, universities and other organisations, to access such data. When allowing access to micro‐data, a statistical agency is obliged, often legally, to ensure that it is unlikely to result in the disclosure of information about a particular person or organisation. Managing the risk of disclosure is referred to as statistical disclosure control (SDC). This paper describes an approach to SDC for output from analysis using generalised linear models, including estimates of regression parameters and their variances, diagnostic statistics and plots. The Australian Bureau of Statistics has implemented the approach in a remote analysis system, which returns analysis output from remotely submitted queries. A framework for measuring disclosure risk associated with a remote server is proposed. The disclosure risk and utility of approach are measured in two real‐life case studies and in simulation.     

Heuristic learning and the discovery of specialization and exchange

I develop and calibrate an agent-based model of boundedly rational, adaptive agents in a two-good production and exchange economy to replicate human-subject outcomes in the same eight-person experimental economy. To test agents’ ability to capture human behavior, I extend the model and use its output to make predictions about a second experimental environment in which the group of eight agents is slowly constructed by merging smaller groups. This environment improves human-subject performance in the specialization and exchange task, and commensurate improvement emerges for some parameterizations of the agent-based model. This iterative process yields incremental improvement of decision-level theories about economic discovery.     

Are we operating effectively? A lean analysis of operating theatre changeovers

Hospital operating theatres are a critical but costly resource in healthcare processes. Their efficiency and utilisation impact upon hospital finances, clinical effectiveness and patient outcomes. Operations management techniques have now been applied widely to optimise flow. An important challenge is to balance the needs of process flexibility, efficiency and work standardisation with clinical requirements. This paper applies operations management methods to analyse elective orthopaedic surgery at five international hospitals to describe the issues that affect operating theatre productivity. It utilises an innovative method of video analysis to observe patient changeovers over 29 days of surgery and data is analysed to understand the causes of variability and waste. The findings suggest that processes which are standardised via operations management methodologies can improve productivity in a process that exhibits wide variation in practice. There are apparent trade-offs associated with efficiency and clinical concerns such infection control, that lead to different standard process archetypes being utilised. Recommendations for standardising patient changeovers are provided.     

Discretionary fiscal policy and economic activity in Greece

This paper investigates the effects of discretionary fiscal policy changes on economic activity and its subcomponents in Greece in the period 2000–2011. Changes in government spending and net taxes have Keynesian effects. An increase in government consumption has the most pronounced positive effects on output growth, private consumption and non-residential investment, while it reduces residential investment. Cuts in the public investment programme crowd in private investment, but are associated negatively with the net exports ratio. Both indirect and direct tax hikes lower private consumption, private investment and output growth. However, higher direct taxes by lowering disposable income they reduce import demand, thus, improving the trade balance.