The perceptions of hospital social workers in Saudi Arabia regarding the organisational factors that impact on their role

The perceptions of ten social workers regarding their practice within the organisational context of Saudi hospitals were examined using semi-structured interviews. A qualitative analysis employing a thematic approach informed by grounded theory was undertaken and produced the two broad interrelated themes – organisational structure and management processes – which highlighted an overarching concern of an 'us and them' division between social workers and management. The discussion shows how solutions to the perceived difficulties of social workers in hospital settings require a consideration of how partnership between practitioners and management personnel may be enhanced.     

Social Skill and the Theory of Fields

The problem of the relationship between actors and the social structures in which they are embedded is central to sociological theory. This paper suggests that the "new institutionalist" focus on fields, domains, or games provides an alternative view of how to think about this problem by focusing on the construction of local orders. This paper criticizes the conception of actors in both rational choice and sociological versions of these theories. A more sociological view of action, what is called "social skill," is developed. The idea of social skill originates in symbolic interactionism and is defined as the ability to induce cooperation in others. This idea is elaborated to suggest how actors are important to the construction and reproduction of local orders. I show how its elements already inform existing work. Finally, I show how the idea can sensitize scholars to the role of actors in empirical work.     

Non-Gaussian Ornstein–Uhlenbeck-based models and some of their uses in financial economics

Non-Gaussian processes of Ornstein–Uhlenbeck (OU) type offer the possibility of capturing important distributional deviations from Gaussianity and for flexible modelling of dependence structures. This paper develops this potential, drawing on and extending powerful results from probability theory for applications in statistical analysis. Their power is illustrated by a sustained application of OU processes within the context of finance and econometrics. We construct continuous time stochastic volatility models for financial assets where the volatility processes are superpositions of positive OU processes, and we study these models in relation to financial data and theory.     

A general method of constructing E(s2)-optimal supersaturated designs

There has been much recent interest in supersaturated designs and their application in factor screening experiments. Supersaturated designs have mainly been constructed by using the E ( s ²)-optimality criterion originally proposed by Booth and Cox in 1962. However, until now E ( s ²)-optimal designs have only been established with certainty for n experimental runs when the number of factors m is a multiple of n-1 , and in adjacent cases where m = q ( n -1) + r (| r | 2, q an integer). A method of constructing E ( s ²)-optimal designs is presented which allows a reasonably complete solution to be found for various numbers of runs n including n ,=8 12, 16, 20, 24, 32, 40, 48, 64.     

Inference in hybrid Bayesian networks using dynamic discretization

We consider approximate inference in hybrid Bayesian Networks (BNs) and present a new iterative algorithm that efficiently combines dynamic discretization with robust propagation algorithms on junction trees. Our approach offers a significant extension to Bayesian Network theory and practice by offering a flexible way of modeling continuous nodes in BNs conditioned on complex configurations of evidence and intermixed with discrete nodes as both parents and children of continuous nodes. Our algorithm is implemented in a commercial Bayesian Network software package, AgenaRisk, which allows model construction and testing to be carried out easily. The results from the empirical trials clearly show how our software can deal effectively with different type of hybrid models containing elements of expert judgment as well as statistical inference. In particular, we show how the rapid convergence of the algorithm towards zones of high probability density, make robust inference analysis possible even in situations where, due to the lack of information in both prior and data, robust sampling becomes unfeasible.     

Book review

Applied Econometric Techniques by Keith Cuthbertson, Stephen G. Hall, and Mark P. Taylor. Pp. xiv+274. Ann Arbor: University of Michigan Press, 1992. ($US 42.50).     

POPAN-4: enhancements to a system for the analysis of mark-recapture data from open populations

We describe recent developments in the POPAN system for the analysis of mark-recapture data from Jolly-Seber type experiments. The previous versions (POPAN-3 for SUN/OS workstations and POPAN-PC for IBM-PC running DOS or Windows) included general statistics gathering and testing procedures, a wide range of analysis options for estimating population abundance, survival and birth parameters, and a general simulation capability. POPAN-4 adds a very general procedure for fitting constrained models based on a new unified theory for Jolly-Seber models. Users can impose constraints on capture, survival and birth rates over time and/or across attribute groups (e.g. sex or age groups) and can model these rates using covariate models involving auxiliary variables (e.g. sampling effort).     

Working around the Barriers to Creating and Sharing Knowledge in Capital Goods Projects: the Client's Perspective*

The article considers knowledge management issues from the client's perspective. In the example presented, a sludge treatment centre procured by Northumbrian Water Ltd (NWL), the task faced by the client was to manage knowledge in a context where the core technology being procured was new and resulted in the need for new knowledge to be created and shared both pre‐ and post‐delivery. In exploring these issues, the article reveals the problems of (and some solutions to) managing knowledge across the project life‐cycle and between different groups, where the motivation for generating and sharing knowledge was not the same for all participants.     

Achieving Post-Acquisition Success: The Role of Corporate Entrepreneurship

Corporate entrepreneurship can play a central role in the integration of mergers and acquisitions. This paper describes a study spanning seven years for six mergers and acquisitions that involved UK, US and Swedish acquisitions of East German firms. The authors used the respective strengths of corporate entrepreneurship to predict the likely success or failure of each M&A, with very accurate results when they revisited the companies in 2001. The authors draw further lessons from the study by linking corporate entrepreneurship to the learning organisation and providing practical lessons for managers.