The exit decision in the European venture capital market

This article analyses the exit decision in the European venture capital market, studying when to exit and how it interacts with the exit form. Using a competing risks model we study the impact on the exit decision of the characteristics of venture capital investors, of their investments and of contracting variables. Our results reveals that the hazard functions are non-monotonic for all exit forms and suggest that, in Europe, Initial Public Offering candidates take longer to be selected than trade sales. Moreover our results show that, in Europe, venture capitalists associated with financial institutions have quicker exits (stronger for trade sales), and highlight the importance of contracting variables on the exit decision. An unexpected result is that the presence on the board of directors leads to longer investment durations.     

Attitudes to pay systems:an exploratory study within and across cultures

The present study investigates employees’preferences for criteria that are used in pay systems, namely, performance, cost of living, tenure, educational qualification, collective bargaining, skill, market rate, responsibility and special demands. The study also explored variation and similarities of employees’preferences for the criteria across four countries, namely Australia (N = 162), Indonesia (N = 100), Malaysia (N = 129) and Hong Kong (N = 39). The results indicate that the respondents prefer multiple criteria to determine their pay. Preferences for length of service and educational attainment were found to be significantly different across countries, particularly between Australian and Asian samples (Indonesian and Malaysia). This variation is, in part, attributed to cultural differences. Other variables, such as age, educational qualification, position, and industry sector, have been found to be significant correlates of preference for pay systems. Implications for reward management have been discussed.     

Measuring and explaining the efficiencies of the United Arab Emirates banking system

Using newly collected data from a survey distributed to all banks in the United Arab Emirates (UAE), this article measures economic efficiency in the banking industry, namely allocative, technical, pure technical and scale efficiency. Employing a nonparametric Data Envelopment Analysis (DEA) approach, the study estimates the efficiency for a cross section of the UAE banks in 2004. The results indicate that the dominant source of inefficiency in the UAE banking is stemming from allocative inefficiency rather than technical inefficiency. Furthermore, the main source of the relatively small size, technical inefficiency in the UAE banking industry is not the scale inefficiency but rather pure technical inefficiency. The results further indicate that the UAE banks are able to use their input resources more efficiently when they have more branches, and that newer banks are performing better than older banks on average. Moreover, the results also show that short experiences of employees affect efficiencies negatively and government ownership tends to reduce efficiency (as the government shares increase in the bank, the efficiency scores get lower). Finally, the most interesting results have to do with finding higher average efficiencies in banks that employ more women, more managers and less national citizens of the UAE.     

Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions

Traditionally, logistics design is driven by a need to reduce costs and improve customer service. Recently, the environmental concerns from transport have been increasingly discussed. The traffic levels and associated energy consumption are influenced by supply chain structure, modal split and vehicle utilization. This paper aims to assess the impact of the traditional cost optimization approach to strategic modelling on overall logistics costs and CO₂ emissions by taking into account the supply chain structure (number of depots) and different freight vehicle utilization ratios (90%, 75% and 60%). The simulation model, based on a European case study from the automotive industry, considers strategic and operational level decisions simultaneously. The analysis shows that the optimum design based on costs does not necessary equate to an optimum solution for CO₂ emissions, therefore there is a need to address economical and environmental objectives explicitly as part of the logistics design.     

An enhanced approach for Trend Impact Analysis

Decision makers in governments, corporations and institutions all need to forecast the future. Usually, traditional quantitative forecasting techniques are applied for this purpose. But the limitation of such methods is well known since all quantitative methods that are built solely on historical data (whether time-series or causal methods) produce forecasts by extrapolating such data into the future ignoring the effects of unprecedented future events that could cause deviation from the original surprise-free forecast if they were to occur. In the meanwhile, pure qualitative methods that don't utilize historical data miss its sound foundation. In the field of future studies, attempts are often made to combine quantitative and qualitative approaches using various hybrid methods such as Trend Impact Analysis. This paper introduces an advanced algorithm to enhance Trend Impact Analysis that adds another level of sophistication to the current algorithm. This advanced algorithm takes into account not only the impact of unprecedented future events' occurrences on the future trend, but also the different severity degrees with which the event might occur. This idea of severity degrees is novel, and its implementation is the main contribution of this paper.     

The legal framework and initiatives for promoting safety in the United Arab Emirates

Injury is a leading cause of morbidity and mortality in the United Arab Emirates (UAE). The UAE is a rapidly developing country with fast economic growth, demographical and environmental changes that are associated with new hazards emerging at a similar pace. The UAE as a federal entity has federal and local systems responsible for safety policy, regulations and enforcement. To set priorities for safety promotion and injury prevention, it is necessary to have data on the most frequent external causes of injury and the main individual, equipment and environmental risk factors that contribute to injury. However good quality data for injury prevention are scarce. The aim of this paper is to describe the scale of injury as a public health problem in the UAE, and the development of safety policies, regulations and promotion efforts with special emphasis on traffic, occupational and child safety.