Identity Deployment and Social Change: Understanding Identity as a Social Movement and Organizational Strategy1

In this article, we discuss the theoretical implications of empirical elaborations of Bernstein’s (1997) model of identity deployment. New research encompasses a diverse array of venues and targets and elaborates on the mechanisms through which identities may be deployed strategically. Application of the identity deployment model spans a variety of so‐called ‘identity movements’ as well as ethnic, nationalist and indigenous movements, and community mobilization. Identity deployment is also a useful strategy in organizational and professional contexts, as in the micro‐brewery movement or culinary movements, demonstrating the theoretical generalizability of the original model. New research closely examines the relationship between identity and strategy and the conditions that affect activists’ choice of identity strategies as well as the situations where they might avoid identity strategies altogether. Research finds that identities may be deployed performatively, rhetorically or discursively. Identity deployment may be facilitated by emotional displays, music and ritual. The way that power and authority are organized in a given venue determines in part the capacity of activists and organizations to alternate between celebrating and suppressing difference from the majority. Identity deployment influences internal and external outcomes, affecting mobilization and goal achievement. Finally, feedback loops link the different analytic dimensions of identity.     

Deletion residuals in the detection of heterogeneity of variances in linear regression

The heterogeneity of error variance often causes a huge interpretive problem in linear regression analysis. Before taking any remedial measures we first need to detect this problem. A large number of diagnostic plots are now available in the literature for detecting heteroscedasticity of error variances. Among them the ‘residuals’ and ‘fits’ (R–F) plot is very popular and commonly used. In the R–F plot residuals are plotted against the fitted responses, where both these components are obtained using the ordinary least squares (OLS) method. It is now evident that the OLS fits and residuals suffer a huge setback in the presence of unusual observations and hence the R–F plot may not exhibit the real scenario. The deletion residuals based on a data set free from all unusual cases should estimate the true errors in a better way than the OLS residuals. In this paper we propose ‘deletion residuals’ and the ‘deletion fits’ (DR–DF) plot for the detection of the heterogeneity of error variances in a linear regression model to get a more convincing and reliable graphical display. Examples show that this plot locates unusual observations more clearly than the R–F plot. The advantage of using deletion residuals in the detection of heteroscedasticity of error variance is investigated through Monte Carlo simulations under a variety of situations.     

Using nursing students to enhance one college's immunization program.

In New York State, all college students who were born on or after January 1, 1957, are required to show proof of immunity against measles, mumps, and rubella (MMR) before the 1st day of classes. Colleges have established immunization programs so that those students who do not have the required proof can be given the necessary injections. Often, our health service office does not have enough staff to administer the MMR shots during the registration period, resulting in long lines of students waiting to be immunized. In this article, the authors describe how one college used nursing students to assist with and enhance its immunization program. The 45 nursing students who participated in this project administered 694 injections over a 5-day period, They received credit from the nursing department for clinical time and all of the participants agree that the project was a success.     

A case study

The relationship between social isolation and mental illness has given rise to several hypotheses, particularly those of the “drift” and “breeder” type. The present study is concerned with the relationship between separation from family and admission to a psychiatric hospital, and explores some aspects (area of admission, type of accommodation, readmission, diagnosis and age) of this relationship. Some implications for preventive planning are drawn from the findings.     

Production planning and control within a CIM environment: some current developments and requirements for the future

Abstract. This paper considers the integration problems associated with incorporating production planning and control (PP&C) systems within CIM; these problems are typically not differentiated from functionally related problems, and have in the past received relatively little attention. The on-going emergence of a number of standards relevant to manufacturing software systems provides an opportunity to assess the current situation with regard to proprietary PP&C systems and to suggest ways forward towards ‘seamless’ integration of PP&C within the CIM environment. The problems arising from conventional integration approaches are briefly described, and the concept of a simplifying ‘integration platform’ is introduced; the three-schema information architecture is presented as part of this ‘integration simplification’ approach. Current and developing PP&C systems are assessed against a number of information system integration criteria, and the results of a small survey of proprietary packages are presented. The paper concludes that information must be regarded as an enterprise-wide asset, rather than belonging to individual software applications, and that the adoption of relevant standards will enable seamless integration within a three-schema architecture. An increasing number of proprietary packages are adopting standards and methodologies which ease the integration problem significantly.     

Occupational stress in universities: Staff perceptions of the causes,consequences and moderators of stress

In recent years, the Australian university sector has undergone large-scale organizational change, including restructuring, downsizing and government funding cuts. At the same time, research from across the globe reports an alarming increase in the occupational stress experienced by university staff. We report on the first phase of a longitudinal investigation of occupational stress. A total of 22 focus groups were conducted with a representative sample of 178 academic and general staff from 15 Australian universities. The groups focused on understanding staff 's experience of occupational stress, and perceptions of the sources, consequences and moderators of stress. Both general and academic staff reported a dramatic increase in stress during the previous 5 years. As a group, academic staff reported higher levels of stress than general staff. Five major sources of stress were identified including: insufficient funding and resources; work overload; poor management practice; job insecurity; and insufficient recognition and reward. The majority of groups reported that job-related stress was having a deleterious impact on their professional work and personal welfare. Aspects of the work environment (support from co-workers and management, recognition and achievement, high morale, flexible working conditions), and personal coping strategies (stress management techniques, work/ non-work balance, tight role boundaries and lowering standards), were reported to help staff cope with stress. The findings provide a timely insight into the experience of stress within universities.     

Manpower planning for maintenance jobs in process industries

This paper describes a model for allocating the weekly requirement of manpower for maintenance jobs in the process units. We develop a simple procedure for the solution of the manpower allocation problem which has to deal with planned and unplanned jobs during a planning period. The solution procedure is illustrated by a numerical example. Possible extensions of this model are also discussed.     

Visualizing the factory through meta- manufacturing processes

Milestone or deadline driven production management is predominant in most manufacturing companies. Problems and other disturbing occurrences tend to see their first daylight during phases where plans are implemented into reality, for example, when production commences, prototypes enter manufacturing and deliveries are expected. Conventional control routines fail to depict the true progress and procedures of the company on an on-line basis, which means that instead of being proactive they serve as means to react to already existing problems. This paper studies the application of advanced visualization techniques to the already existing information embedded in a comany's information infrastructure, and how it can help management to anticipate probable near future pitfalls. By studying those daily operations of a company which share a document relationship with the true manufacturing process, that is, the meta-manufacturing processes, a completely new perspective on the company's value-adding activities is drawn. By mining the existing data reservoirs of a company traditionally difficult management processes, such as product development, vendor integration, production planning, can be analysed and the problems identified in a novel way to react in advance. The paper displays several empirical examples from bulk to one-of-a-kind production where the method has been successfully implemented.     

Electricity consumption and economic growth in Nigeria: Evidence from cointegration and co-feature analysis

The paper investigates the causality relationship between energy consumption and economic growth for Nigeria during the period 1980–2006. The results of our estimation show that real gross domestic product (rGDP) and electricity consumption (ele) are cointegrated and there is only unidirectional Granger causality running from electricity consumption (ele) to (rGDP). Then we applied Hodrick–Prescott (HP) filter to decompose the trend and the fluctuation components of the rGDP and electricity consumption (ele) series. The estimation results show that there is cointegration between the trend and the cyclical components of the two series, which seems to suggest that the Granger causality is possibly related with the business cycle. The paper suggests that investing more and reducing inefficiency in the supply and use of electricity can further stimulate economic growth in Nigeria. The results should, however, be interpreted with caution because of the possibility of loss in power associated with the small sample size and the danger of omitted variable bias that could result from the use of bi-variate analysis.