Understanding Management Performance

Current models of the factors underlying management performance make use of a variety of variables at different levels of analysis. A framework is presented in which variables of three different types are linked together. Using data from a sample (n = 437) of British managers this article explores relationships between personality factors (using the big-five factors), work competencies and managerial performance. Results from the analyses reveal a set of underlying competency factors, which show different patterns of correlation with two facets of performance: current proficiency and promotability. In turn, these factors and the facets of performance show relationships with the big-five personality factors. Current proficiency is more closely related to competencies of organization, specialization and analysis – competencies more likely to be displayed by people who are conscientious and introverted. Promotability is linked more closely to competencies concerning action/motivation, flexibility/sensitivity and communication – competencies more likely to be displayed by people who are extroverted with lower conscientiousness and agreeableness.     

Innovation timing advantages: From economic theory to strategic application

First and second mover theory, as developed in industrial organization economics, maintains that firms can gain competitive advantage by using optimal timing in the introduction of innovations. Because the industry is the unit of analysis, the theory does not provide specific guidance for individual firms. We analyze the underlying sources of first and second mover timing advantages and clarify several issues regarding the basic theory. We then identify a variety of factors at the industry, firm and product/service levels and develop propositions showing their relations to individual firms in their efforts to benefit from timing advantages. We discuss the link which these indicator factors provide between economic theory and strategic timing choices. Finally, we suggest directions for research which would assist firms and their managers in selecting and pursuing innovation timing strategies.     

Reexamining the link of early childbearing to Marriage and to subsequent fertillty

Using data from the 1980, 1985, and 1990 Current Population Surveys, we show that the link between early fertility and nonmarital births has become stronger. Women who give birth earlier are increasingly likely to be unmarried. In contrast, we find a weaker association between first births at young (versus older) ages and (1) a rapid pace of subsequent childbearing and (2) higher completed fertility. We discuss possible causes and consequences of these changes.     

The model of human occupation: understanding the worker who is injured or disabled

This paper discusses application of the model of human occupation to the worker with an injury or disability. Concepts from the model of human occupation (MOHO) are used to frame potential work-related strengths and weaknesses. Using MOHO as a framework to understand the worker with an injury or disability provides a more complete and holistic understanding of the many factors which can affect a worker. In particular, the model illuminates how factors of capacity, motivation, lifestyle, and environment inter-relate in determining a worker's success or failure. Implications for using the model to achieve a more effective work-related practice are discussed.     

The future of forms of data communications

The first section of the paper is a review of current and planned data communications services. This covers the current state of the art in these services, identifies the need for change and surveys what plans have been made for new services. It looks at what forms of data communications have been established in various countries including the U.K., Germany, U.S.A. and Australia. The second part of the paper poses some key questions. These are broadly similar to those involved in planning other major new investments in utilities or public transportation involving a high degree of technical innovation. They cover the problems of designing a new technology, the pricing of data communications utilities, how to evaluate new services and what the role of the monopoly supplier should be. The paper does not set out to answer these questions but to expose them as areas where controversy is centred, and new research work required.     

Is low fertility a twenty-first-century demographic crisis?

Nearly half of the world's population in 2000 lived in countries with fertility rates at or below replacement level, and nearly all countries will reach low fertility levels in the next two decades. Concerns about low fertility, fertility that is well below replacement, are widespread. But there are both persistent rationales for having children and institutional adjustments that can make the widespread intentions for two children attainable, even in increasingly individualistic and egalitarian societies.     

School Choice, Markets and Special Educational Needs

Locating the debate within a policy framework of school choice and special educational needs (SEN) in England and Wales, the article investigates the ways in which schools competing within the educational marketplace perceive and respond to the needs of parents of SEN students, and considers the perspectives, experiences and values of these parents relating to school choice. In focusing in-depth on one case study area the article draws on the qualitative findings of the Parental and School Choice Interaction (PASCI) study, a 3-year longitudinal investigation into the interaction between parental choice of school and school decision making. The findings reveal the pressures on senior school managers and the difficulties encountered by parents of SEN students and suggest that as schools working in a public-market increasingly 'privilege the academic' so the needs and preferences of parents, and SEN students are increasingly marginalised and devalued.     

Nonverbal intimacy,sex, and compliance: A field study

The present study was designed to explore further the effects of nonverbal behaviors and sex on compliance. Male and female subjects who had just found a dime in a phone booth were approached by a male or female experimenter and were asked to return the dime that the experimenter had supposedly just lost. In the Eye Contact condition, the experimenter gazed at the subject as the request was made, whereas in the No-Eye Contact condition he/she did not. In addition, the experimenter lightly touched half of the subjects while making his/her request, but did not touch the other half. Replicating previous findings, it was found that both eye contact (significantly) and touching (marginally) produced increased rates of compliance. Extending prior results, these effects were obtained for male experimenters. Furthermore, a Sex of experimenter times Sex of subject interaction effect was obtained, such that subjects were much more willing to comply with the request of an opposite, rather than same sex experimenter. Questionnaire data suggested that: 1) subjects were aware of the touch, but not of the eye contact variable, and 2) the requesters were perceived as much more attractive when they were of the opposite, rather than the same sex as the subjects.     

A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome

In some clinical trials and epidemiologic studies, investigators are interested in knowing whether the variability of a biomarker is independently predictive of clinical outcomes. This question is often addressed via a naïve approach where a sample-based estimate (e.g., standard deviation) is calculated as a surrogate for the “true” variability and then used in regression models as a covariate assumed to be free of measurement error. However, it is well known that the measurement error in covariates causes underestimation of the true association. The issue of underestimation can be substantial when the precision is low because of limited number of measures per subject. The joint analysis of survival data and longitudinal data enables one to account for the measurement error in longitudinal data and has received substantial attention in recent years. In this paper we propose a joint model to assess the predictive effect of biomarker variability. The joint model consists of two linked sub-models, a linear mixed model with patient-specific variance for longitudinal data and a full parametric Weibull distribution for survival data, and the association between two models is induced by a latent Gaussian process. Parameters in the joint model are estimated under Bayesian framework and implemented using Markov chain Monte Carlo (MCMC) methods with WinBUGS software. The method is illustrated in the Ocular Hypertension Treatment Study to assess whether the variability of intraocular pressure is an independent risk of primary open-angle glaucoma. The performance of the method is also assessed by simulation studies.