Search results

In 1870, after a decade of vigorous public debate over the economic importance of technical and scientific learning for the colony’s development, the Industrial and Technological Museum was established in the city of Melbourne ‘as a means of public instruction’ for the people of Victoria. Founded in February 1870 and officially opened on 8 September 1870, the new public museum occupied the building erected at the rear of the Public Library for the 1866 International Exhibition. The Industrial and Technological Museum, later the Science Museum and now part of Museum Victoria, was directed by J. Cosmo Newbery and managed by a sectional committee of the Public Library, Museums, and National Gallery of Victoria Trust, which Parliament had incorporated and enlarged in December 1869.

Nurses and other professional caregivers are increasingly recognising the issue of moral distress and the deleterious effect it may have on professional work life, staff recruitment and staff retention. Although the nursing literature has begun to address the issue of moral distress and how to respond to it, much of this literature has typically focused on high acuity areas, such as intensive care nursing. However, with an ageing population and increasing demand for resources and services to meet the needs of older people, it is likely that nurses in long‐term care are going to be increasingly affected by moral distress in their work. This paper briefly reviews the literature pertaining to the concept of moral distress, explores the causes and effects of moral distress within the nursing profession and argues that many nurses and other healthcare professionals working with older persons may need to become increasingly proactive to safeguard against the possibility of moral distress.

This chapter proposes an approach toward the estimation of cross-sectional sample selection models, where the shocks on the units of observation feature some interdependence through spatial or network autocorrelation. In particular, this chapter improves on prior Bayesian work on this subject by proposing a modified approach toward sampling the multivariate-truncated, cross-sectionally dependent latent variable of the selection equation. This chapter outlines the model and implementation approach and provides simulation results documenting the better performance of the proposed approach relative to existing ones.

March WED.4. One‐Day Conference on In‐Training of Library and Information Staff. Imperial College, London.

For this discussion, assume there are n sample observations of the dependent variable y at unique locations. In spatial samples, often each observation is uniquely associated with a particular location or region, so that observations and regions are equivalent. Spatial dependence arises when an observation at one location, say y i is dependent on “neighboring” observations y j, y j∈ϒi. We use ϒi to denote the set of observations that are “neighboring” to observation i, where some metric is used to define the set of observations that are spatially connected to observation i. For general definitions of the sets ϒi,i=1,…,n, typically at least one observation exhibits simultaneous dependence, so that an observation y j, also depends on y i. That is, the set ϒj contains the observation y i, creating simultaneous dependence among observations. This situation constitutes a difference between time series analysis and spatial analysis. In time series, temporal dependence relations could be such that a “one-period-behind relation” exists, ruling out simultaneous dependence among observations. The time series one-observation-behind relation could arise if spatial observations were located along a line and the dependence of each observation were strictly on the observation located to the left. However, this is not in general true of spatial samples, requiring construction of estimation and inference methods that accommodate the more plausible case of simultaneous dependence among observations.

The purpose of this paper is to build on the research-supported view that interactions between top and middle management enhances effective implementation of organizational strategies by exploring the role of internal actors in driving organizational strategy at the intersection between strategy formulation and strategy implementation.

Adopting a social practice perspective, we undertook semi-structured interviews of 27 top and middle level managers drawn from a single case organization. Data collected were analysed using thematic analysis.

Differences in managerial perception of strategy has significant impact on implementation of strategic decisions as well as creating tensions in recursive communication practices between internal social actors. Furthermore, individual perceptions cannot only limit the extent of strategy awareness amongst key actors, the manifestations through social interaction between top and middle managers is a critical determinant of effective communication and realization of organizational strategy.

The research contributes to the strategy process and practice literature by exploring the dynamic interactions taking place at the intersections of strategy formulation-implementation phases of organizational strategy. It particularly highlights practical issues in top and middle manager interactions and implications for successful strategy implementation.