‘Information communication technology’ innovation in a non-high technology sector: achieving competitive advantage in the shipping industry

The global marketplace is resulting in an ever-increasing networked and digitalised landscape where organisations compete as integrated supply chains. This paper explores the impact that the digital networked environment has on the traditional shipping services industry. The research contribution has four aspects: (1) most research efforts focus on high technology sectors; this research emphasises the need for information communication technology (ICT) adoption in a non-high technology sector; (2) the research highlights the importance of ICT in achieving competitive advantage in the complex environment of shipping; (3) complexity principles are applied to the discussion on ICT; and (4) the link between ICT and the development of dynamic capabilities is created.     

Trade Credit,Bank Credit,and Flight to Quality: Evidence from French SMEs

This paper investigates the impact of the global financial crisis on the allocation of credit to small and medium‐sized enterprises (SMEs). Using samples of French SMEs from four industries, we found support for the prediction of the flight‐to‐quality hypothesis that in bad times, credit flows away from smaller constrained firms to larger, higher grade firms. We also examined the relation between bank credit and trade credit in terms of two hypotheses: the substitution hypothesis and the complementary hypothesis. The results of fixed effects panel regressions showed that trade credit for small firms during periods of tight money acts generally as complement rather than substitute to bank credit, thus providing empirical support for the redistribution view of trade credit.     

Do U.S. Insurance Firms Offer the “Wrong” Incentives to Their Executives?

We examine the relation between executive compensation and market‐implied default risk for listed insurance firms from 1992 to 2007. Shareholders are expected to encourage managerial risk sharing through equity‐based incentive compensation. We find that long‐term incentives and other share‐based plans do not affect the default risk faced by firms. However, the extensive use of stock options leads to higher future default risk for insurance firms. We argue that this is because option‐based incentives induce managerial risk‐taking behavior, which seeks to maximize managerial payoff through equity volatility. This could be detrimental to the interests of shareholders, especially during a financial crisis.     

Assessing airport terminal performance using a system dynamics model

Current models for airport terminal performance assessment require substantial modeling effort to be customized to the configuration of a particular airport terminal and to reflect adequately the alternative airport operational policies adopted in a user-friendly way. Therefore, there is a need to develop a generic, yet flexible decision-support tool that will facilitate high-level decision-making related to fundamental changes in the structure and operation of the airport terminal system. This paper presents a generic and easily customizable system dynamics based tool for assessing the performance of the Athens International Airport passenger terminal under different demand and resource deployment scenaria.     

Airport slot allocation: a time for change?

The increasing imbalance between airport capacity and traffic resulted in exceptional congestion and delays drawing the attention of aviation policy makers towards airport demand management for the allocation of scarce airport slots. Attempts to bring forward airport demand management measures in the form of airport slot allocation were not widely adopted and have not flourished in practice. This paper aims: (i) to apply a methodological framework for the selection of the most suitable slot allocation strategy for various types of airports, (ii) to explore potential impacts such that measures or strategies can bring about, and (iii) to assess the suitability of the existing airport pricing scheme and the potential implementation of a new policy regime aiming to bridge the gap between growing traffic and scarce airport capacity.     

Resource management in software as a service using the knapsack problem model

This paper proposes a resource allocation model for “Software as a Service” systems that maximizes the service provider's revenues and the resource utilization under a heavy load. Employing the elasticity of virtualized infrastructures, the proposed model dictates that system resources must be fully exploited by incoming jobs, even if they do not satisfy their requirements completely. This yields a higher Service Level Agreement violation probability, which is mitigated by the assignment of more resources when these become available. The problem is deduced to the Fractional Knapsack problem and the heuristic solution is implemented in the frame of a SOA environment.     

Modeling beef supply response and price volatility under CAP reforms: The case of Greece

This study examines the supply response of the Greek beef market and the possible effect of the European Union’s Common Agricultural Policy (CAP) on the Greek beef sector during the period 1993–2005. A Generalized Autoregressive Conditional Heteroskedasticity (GARCH) process is used to estimate expected price, and price volatility, while several different symmetric, asymmetric and non-linear GARCH models are estimated. The empirical results show that price volatility and feed price are important risk factors in the supply response function, while the negative asymmetric price volatility that was detected implies that producers have a weak market position. Furthermore, the empirical findings confirm that the annual premium paid by the EU to beef producers had a positive impact on the production level and also, the change of the EU price support regime, after 2006, is having negative effects on beef production level in Greece.     

Challenges for current quantitative risk assessment (QRA) models to describe explicitly the road tunnel safety level

The number of road tunnels in Europe has increased rapidly over the last years. Nevertheless, this increasing number is raising upfront an endogenous problem, which is the severity of accidents that may occur. After the spate of tunnel fires in Europe over the past decade, the European Commission embarked upon a major review of road tunnel safety and launched the Directive 2004/54/EC that sets minimum safety requirements and suggests, apart from the measures imposed based on tunnel characteristics, the implementation of a risk assessment in several cases. As a result, many risk assessment methods have been proposed worldwide, most of them based on quantitative risk assessment (QRA) models. Although QRAs are helpful to address physical aspects and facilities of the infrastructures, current approaches in the road tunnel field have several challenges to meet in order to provide decision-makers with the overall risk picture. Taking into account that QRAs are progressively becoming the selected method to manage tunnel safety and risk, this paper’s purpose is twofold. On the one hand, it aims to inform safety managers and engineers about items which are not adequately handled by current road tunnel QRA models. On the other hand, it aims to suggest potential areas in which improvements should be made. Taking into consideration the challenges and the limitations discussed herein, this paper concludes that QRA models should not be the single criterion for the safety assessment process of these critical infrastructures.     

LARGE PORTFOLIO ASYMPTOTICS FOR LOSS FROM DEFAULT

We prove a law of large numbers for the loss from default and use it for approximating the distribution of the loss from default in large, potentially heterogeneous portfolios. The density of the limiting measure is shown to solve a nonlinear stochastic partial differential equation, and certain moments of the limiting measure are shown to satisfy an infinite system of stochastic differential equations. The solution to this system leads to the distribution of the limiting portfolio loss, which we propose as an approximation to the loss distribution for a large portfolio. Numerical tests illustrate the accuracy of the approximation, and highlight its computational advantages over a direct Monte Carlo simulation of the original stochastic system.