Modelling the impact of performance management practices on firm performance: interaction with human resource management practices

The paper draws on resource orchestration theory to investigate whether and how performance management (PM) practices interact with human resource management (HRM) practices in organisations as well as how this interaction affects firm performance. The proposed theoretical model was tested through a survey of 192 UK firms using Partial Least Squares approach for structural equations modelling. The findings show that the effect of PM practices on firm performance is better explained when the interaction between these practices and other organisational practices is considered. In particular, we examine the extent to which the interaction between PM practices and commitment-based HRM practices affects performance. We find that when HRM practices and PM practices are misaligned, their effect on performance can be negative. This is the first paper in the PM literature that establishes the relationship between PM and HRM practices in organisations and demonstrates the effect of this relationship on firm performance.     

Allocating Costs of Environmental Management among Generations: A Case of Environmental Liabilities in Transition Economies

The objective of this paper is to examine cost allocation in relation to remediating environmental liability issues in Russia, where significant environmental damages, continuing from the Soviet era, present serious impediments to pursuing sustainable development. The research attempts to highlight citizens?? preferences for remediating facilities and sites with environmental liabilities, and elicits preference differences among citizens using choice experiment methods. Intergenerational issues are involved in addressing environmental liabilities in transition economies because the causes and effects are spread among generations. Therefore, evaluating citizens?? preferences provides more policy implications for future remediation initiatives. The econometric analysis reveals that citizens demonstrate positive preferences for reducing pollution of drinking water and soil decontamination. The research also suggests that the households with higher incomes, older household heads (or spouses), and more young children have higher preferences for remediating environmental liabilities in Russia. Estimation of the marginal willingness to pay (MWTP) for age and income segments of the households allows the government to determine a suitable taxation policy. The findings provide new insights on cost allocation in relation to remediating environmental damages in transition economies that have suffered from these serious environmental legacies.     

Human Non-linguistic Vocal Repertoire: Call Types and Their Meaning

Recent research on human nonverbal vocalizations has led to considerable progress in our understanding of vocal communication of emotion. However, in contrast to studies of animal vocalizations, this research has focused mainly on the emotional interpretation of such signals. The repertoire of human nonverbal vocalizations as acoustic types, and the mapping between acoustic and emotional categories, thus remain underexplored. In a cross-linguistic naming task (Experiment 1), verbal categorization of 132 authentic (non-acted) human vocalizations by English-, Swedish- and Russian-speaking participants revealed the same major acoustic types: laugh, cry, scream, moan, and possibly roar and sigh. The association between call type and perceived emotion was systematic but non-redundant: listeners associated every call type with a limited, but in some cases relatively wide, range of emotions. The speed and consistency of naming the call type predicted the speed and consistency of inferring the caller’s emotion, suggesting that acoustic and emotional categorizations are closely related. However, participants preferred to name the call type before naming the emotion. Furthermore, nonverbal categorization of the same stimuli in a triad classification task (Experiment 2) was more compatible with classification by call type than by emotion, indicating the former’s greater perceptual salience. These results suggest that acoustic categorization may precede attribution of emotion, highlighting the need to distinguish between the overt form of nonverbal signals and their interpretation by the perceiver. Both within- and between-call acoustic variation can then be modeled explicitly, bringing research on human nonverbal vocalizations more in line with the work on animal communication.     

Reviewing performance: an analysis of the structure and functions of performance management reviews

This article proposes an analytical framework for conceptualising performance management reviews (PMRs). Drawing on multiple literatures, the article applies Pettigrew et al.'s (Pettigrew, A., Whipp R., and Rosenfield R., 1989. Competitiveness and the management of strategic change processes. In: A. Francis, and P.K.M. Tharakan, eds. The competitiveness of European industry: country policies and company strategies. London: Routledge) framework to develop our understanding of the context, process and content of PMR. The process elements of PMRs are the levers for managerial intervention as they determine the immediate outcome of PMR. They accomplish this task by acting on the content elements, transforming the subject of PMR into specific outcomes. The scope of the intervention, however, is constrained by factors in the organisation's context. This framework sheds light on various functions of PMRs, most notably strategy implementation.     

On representing maximin efficient designs by Taylor series

This paper considers exponential and rational regression models that are nonlinear in some parameters. Recently, locally D-optimal designs for such models were investigated in [Melas, V. B., 2005. On the functional approach to optimal designs for nonlinear models. J. Statist. Plann. Inference 132, 93–116] based upon a functional approach. In this article a similar method is applied to construct maximin efficient D-optimal designs. This approach allows one to represent the support points of the designs by Taylor series, which gives us the opportunity to construct the designs by hand using tables of the coefficients of the series. Such tables are provided here for models with two nonlinear parameters. Furthermore, the recurrent formulas for constructing the tables for arbitrary numbers of parameters are introduced.     

An efficiency result for the empirical characteristic function in stationary time-series models

It is shown under general conditions that arbitrarily high asymptotic efficiencies can be obtained when the parameters of a stationary time series are estimated by fitting the characteristic functions of the process to their empirical versions. A consistency and a central limit result are also given.     

Strong consistency of the regularized least-squares estimates of infinite autoregressive models

Our main interest is on-line parameter estimation of infinite AR models with exponentially decaying coefficients. The practical importance of the problem follows from the fact that the class of such models includes (but not limited to) all causal invertible ARMA(p,q$p,q$) models. On-line parameter estimation means that the length of the observed data sample is not known a priori and may indefinitely increase. Hence, the parameter estimates should be refined upon arrival of every new observation. So use of the maximum likelihood (ML) method is not feasible due to the high computational burden, and recursive estimation procedures are preferable.