INTERORGANIZATIONAL RELATIONS AND COMMUNITY INFLUENCE STRUCTURE

This study examines the continuity of organizational and leader networks and community elite structure by replicating a study carried out 12 years earlier. Continuity of structure in the organizational bases of in fluence, in the leaders identified as influentials, and in the organizational and leader networks in the community is looked for. It is concluded that there is continuity in the bases and structure of influence and that the ability to exercise influence is related to access to organizational resources. A contrast of organization and leader networks suggests a shift from narrow organizational interests to business class interests.     

Variance reduction for quantile estimates in simulations via nonlinear controls

Linear controls are a well known simple technique for achieving variance reduction in computer simulation. Unfortunately the effectiveness of a linear control depends upon the correlation between the statistic of interest and the control, which is often low. Since statistics often have a nonlinear relation-ship with the potential control variables, nonlinear controls offer a means for improvement over linear controls. This paper focuses on the use of nonlinear controls for reducing the variance of quantile estimates in simulation. It is shown that one can substantially reduce the analytic effort required to develop a nonlinear control from a quantile estimator by using a strictly monotone transformation to create the nonlinear control. It is also shown that as one increases the sample size for the quantile estimator, the asymptotic multivariate normal distribution of the quantile of interest and the control reduces the effectiveness of the nonlinear control to that of the linear control. However, the data has to be sectioned to obtain an estimate of the variance of the controlled quantile estimate. Graphical methods are suggested for selecting the section size that maximizes the effectiveness of the nonlinear control     

Silence in the Context of 'Child Voice'

Recent decades have seen growing enthusiasm internationally for the concept and practice of 'child voice'. This was encapsulated in, and stimulated, by Article 12 of the 1989 United Nations Convention on the Rights of the Child. This article presents the case for incorporating the equally important concept of 'child silence' in both research and applied contexts. 'Child voice' has become a powerful moral crusade and consequently criticism of voice has been muted. This is despite the growing articulation of reservations about 'child voice' in various research and applied contexts. Two particular sets of emerging concerns are discussed: one set is around the purposes behind such engagement with children; and one set relates to the ethical protocols involved. Finally, the article makes a series of recommendations for researchers working in the fields of 'child voice'. These concern five methodological aspects: recognising, noting, responding to, interpreting and reporting silence from children. It is concluded that it is timely to take a step back from assumed support for 'child voice' as necessarily 'a good thing'. Rather, we need to consider more reflexively how, why and when 'child voice' is realised in co-constructed research and professional contexts.     

Stress and the London Regional Transport train driver

This study was carried out to identify and assess possible sources of stress in London Regional Transport train drivers caused by the introduction of one person operation (OPO) on the Metropolitan Line of the London Underground. OPO involves combining the duties of the driver and guard. The drivers' reactions to this possibly stressful situation were assessed through interview, using a sample of one-third (18) of the affected driven, and by analysis of possible organizational outcomes, such as sickness absence and failures, delays and accidents on the line. No experience of stress by the drivers as a result of OPO was indicated by these data; however, it was possible to make recommendations for improving the driver's cab on the basis of the study.     

Network Parenting in International Service Development

This paper explores theoretical and practical aspects (i.e. resources allocated, activities undertaken, actors/decisions involved) of corporate 'parenting' in the development of international service networks. A review of the relevant corporate strategy, supply-chain, networks and services management literature underpins a preliminary content (capability; market orientation) and process (top-down; bottom-up) typology of network parenting. This provides the structure for discussion of two telecommunications-sector case studies. Analysis of the data acknowledges the influence of generic network mechanisms (e.g. weak and strong social ties) but the parenting typology also highlights other mechanisms, the effectiveness of which appears contingent on specific parenting roles. The paper details these roles (labelled: governing; training; curating; facilitating) and makes some preliminary comments on the role trajectories (e.g. governing ↔ training) observed. The paper concludes with a discussion of possible directions for future work.     

Knowledge, innovation and share value

Knowledge–based enterprises (KBEs) are difficult to value owing to the relatively greater importance of their intangible assets, such as human capital and investment in innovation. Traditional valuation models rely on variables such as earnings, dividends and assets, which, for many KBEs, are either non–existent or are distorted by differing accounting practices. This paper reviews the various attempts by practitioners and academics to overcome these difficulties by such devices as different proxies for the valuation variables or different forms of the valuation equations. We then examine some theoretical approaches that provide novel approaches to valuation. Finally, we discuss the notion of the 'fuzzy firm', where traditional corporate boundaries have become amorphous, with the result that the firms require new valuation methodologies.     

Outliers in multilevel data

This paper offers the data analyst a range of practical procedures for dealing with outliers in multilevel data. It first develops several techniques for data exploration for outliers and outlier analysis and then applies these to the detailed analysis of outliers in two large scale multilevel data sets from educational contexts. The techniques include the use of deviance reduction, measures based on residuals, leverage values, hierarchical cluster analysis and a measure called DFITS. Outlier analysis is more complex in a multilevel data set than in, say, a univariate sample or a set of regression data, where the concept of an outlying value is straightforward. In the multilevel situation one has to consider, for example, at what level or levels a particular response is outlying, and in respect of which explanatory variables; furthermore, the treatment of a particular response at one level may affect its status or the status of other units at other levels in the model.