Individual determinants of work attendance: evidence on the role of personality

We investigate the influence of personality as measured by the Big Five personality scale on absenteeism using the 2005 wave of the German Socio-Economic Panel (GSOEP). Estimates of a double hurdle negative binomial regression allow us to test hypotheses on the influence of the Big Five personality traits on work attendance. Our findings augment previous results on the link between personality and absenteeism by analysing representative data and including a large set of control variables typically not available in small scale surveys. We find clear negative correlations between the absence probability and Conscientiousness among women. For male employees a negative correlation with the incidence of absence is observed for the Agreeableness dimension. When looking at the length of absence occurrences Neuroticism is found to significantly influence male absenteeism despite controlling for the subjective health of the individual. Following the reasoning by Bowles et al. (2001) for the provision of effort by employees, employers might pay for incentive-enhancing preferences such as low Neuroticism among male employees because employers can only insufficiently monitor the true level of sickness of their employees and consequently want to avoid voluntary absenteeism.     

Litteraturanmeldelse

This article examines the notion of distortion of copulas, a natural extension of distortion within the univariate framework. We study three approaches to this extension: (1) distortion of the margins alone while keeping the original copula structure; (2) distortion of the margins while simultaneously altering the copula structure; and (3) synchronized distortion of the copula and its margins. When applying distortion within the multivariate framework, it is important to preserve the properties of a copula function. For the first two approaches, this is a rather straightforward result; however, for the third approach, the proof has been exquisitely constructed in Morillas (2005). These three approaches unify the different types of multivariate distortion that have scarcely scattered in the literature. Our contribution in this paper is to further consider this unifying framework: we give numerous examples to illustrate and we examine their properties particularly with some aspects of ordering multivariate risks. The extension of multivariate distortion can be practically implemented in risk management where there is a need to perform aggregation and attribution of portfolios of correlated risks. Furthermore, ancillary to the results discussed in this article, we are able to generalize the formula developed by Genest &; Rivest (2001) for computing the distribution of the probability integral transformation of a random vector and extend it to the case within the distortion framework. For purposes of illustration, we applied the distortion concept to value excess of loss reinsurance for an insurance policy where the loss amount could vary by type of loss.     

RESPONDING TO DISRUPTIONS IN THE SUPPLY NETWORK‐FROM DORMANT TO ACTION

Managing risks in supply networks is a complex task; more so in those supply networks where the core competence lies in dealing with natural disasters, complex emergencies, and large‐scale attacks—namely those of humanitarian, and military organizations where the price of failure can be counted in terms of the loss of life rather than, simply, reduced profits. This conceptual article examines the capabilities of these supply networks to manage such disruptions, based on their resource configuration in a dormant preparation state. The article concludes by presenting how different types of supply networks can manage large‐scale disruptions.     

Intangibles and credit decisions: results from an experiment

The question in this paper is whether the inclusion of intangibles is meaningful in a credit decision context. To examine this issue we conducted an experiment with forty loan officers. The loan officers were presented with a situation of a company that required a credit of 5 million Swedish kronor. Half of the loan officers were given a traditional annual statement in which intangibles were treated as costs while the other half received a balance sheet in which brand, R&D and education were capitalized. The loan officers were asked to give their opinion regarding the credit decision and the importance of extra information. They were also confronted with four short cases where extra information about the company appeared. Statistical analysis revealed that none of three hypotheses relating to the statement that ‘accounting for intangibles does not matter’ could be falsified. Still, the acquired qualitative data that emerged from the study makes it possible to suggest another finding. The study shows that accounting for intangibles is accepted if the accounts were seen as reliable. The conclusion is that if it is possible to create reliable data about intangibles, accounting for intangibles is meaningful for credit decisions.