Managing demographic change and diversity in organizations: how feedback from coworkers moderates the relationship between age and innovative work behavior

In a field study of 211 employees of a midsized German high-tech company, useful feedback from coworkers was examined as a moderator of the relationship between age and supervisor ratings of radical innovative work behavior. When employees perceived higher levels of useful feedback from their coworkers, the relationship between age and radical innovative work behavior followed an inverted U-shape. This inverted U-shaped relationship was decreasingly manifested as the level of perceived useful feedback from coworkers dropped. Given demographic change and the aging of the workforce of many organizations, this finding broadens the still fragmentary knowledge of the conditions under which aging is likely to have more or less positive effects on innovative work behavior. The authors discuss the theoretical and practical implications of these results on both the individual and the team level of analysis.     

Modified mantel-haenszel procedures for matched pairs

In the prospective study of a finely stratified population, one individual from each stratum is chosen at random for the “treatment” group and one for the “non-treatment” group. For each individual the probability of failure is a logistic function of parameters designating the stratum, the treatment and a covariate. Uniformly most powerful unbiased tests for the treatment effect are given. These tests are generally cumbersome but, if the covariate is dichotomous, the tests and confidence intervals are simple. Readily usable (but non-optimal) tests are also proposed for poly-tomous covariates and factorial designs. These are then adapted to retrospective studies (in which one “success” and one “failure” per stratum are sampled). Tests for retrospective studies with a continuous “treatment” score are also proposed.     

Bayesian Analysis of Stochastic Volatility Models

New techniques for the analysis of stochastic volatility models in which the logarithm of conditional variance follows an autoregressive model are developed. A cyclic Metropolis algorithm is used to construct a Markov-chain simulation tool. Simulations from this Markov chain converge in distribution to draws from the posterior distribution enabling exact finite-sample inference. The exact solution to the filtering/smoothing problem of inferring about the unobserved variance states is a by-product of our Markov-chain method. In addition, multistep-ahead predictive densities can be constructed that reflect both inherent model variability and parameter uncertainty. We illustrate our method by analyzing both daily and weekly data on stock returns and exchange rates. Sampling experiments are conducted to compare the performance of Bayes estimators to method of moments and quasi-maximum likelihood estimators proposed in the literature. In both parameter estimation and filtering, the Bayes estimators outperform these other approaches.     

Post-neonatal mortality in Rural India: Implications of an economic model

In this paper we develop and test a theory of childhood mortality after the first month of life. Parents are assumed to have well-defined family size and sex composition objectives and to face severe budget constraints. In this set of circumstances, it is understandable that they will make allocative decisions that will affect the survival probabilities of children. These decisions and the environmental influences on mortality are the basic forces which determine whether a child will survive through the post-neonatal period. The model is tested with survey data from rural Uttar Pradesh, India. The results are consistent with the hypothetical framework discussed above. The burden of this pattern of choice is felt particularly strongly by female births.     

Survival estimation and the effects of dependency among animals

Survival models assume that fates of individuals are independent, yet the robustness of this assumption has been poorly quantified. We examine how empirically derived estimates of the variance of survival rates are affected by dependency in survival probability among individuals. We used Monte Carlo simulations to generate known amounts of dependency among pairs of individuals and analyzed these data with Kaplan-Meier and Cormack-Jolly-Seber models. Dependency significantly increased these empirical variances as compared to theoretically derived estimates of variance from the same populations. Using resighting data from 168 pairs of black brant ( Branta bernicla nigricans ), we used a resampling procedure and program RELEASE to estimate empirical and mean theoretical variances. We estimated that the relationship between paired individuals caused the empirical variance of the survival rate to be 155% larger than the empirical variance for unpaired individuals. Monte Carlo simulations and use of this resampling strategy can provide investigators with information on how robust their data are to this common assumption of independent survival probabilities.     

The ‘greening’ of organizational change: A case study

There are many emerging corporate strategies designed to make large, complex business enterprises more responsive to environmental concerns. One major corporate innovation that has a direct environmental impact is the increased use of telework options for employees. These programmes significantly reduce the amount of employee travel, thereby reducing air pollution. However, adoption of telework programmes requires a change in organizational management strategies. The prevailing attitude of “If I can't see them, how do I know they are working” must be changed. This attitudinal change, coupled with the structural move towards the ‘virtual corporation’ can be managed using existing organizational development strategies and tactics. The paper reports the results of several field studies in California which examined the phenomenon of telework. The studies consistently report increases in worker productivity of 16 per cent and a significant reduction of personal automobile travel of between 20–40 per cent while engaged in telework. The paper concludes with a set of recommendations for a management strategy for managing this change and highlights areas for future research.     

The influence of urine from asymptotic laboratory populations on sexual maturation in prairie deermice

Summary Male and female prairie deermice housed singly from weaning (21 days) until 40 days of age had urine from one of the following sources applied daily to their nostrils: sexually mature laboratory population males or females, and sexually mature breeder males or females from our laboratory colony. Other males and females were treated with water. Records were obtained of the weights of the tests, seminal vesicles and bacula of males and the ovaries and uteri of females at 40 days of age. The major results of this study were as follow: Female urine from sexually mature and inhibited population or isolated mice stimulated the development of the male reproductive organs significantly more than water or male urine. Male urine applied to young males did not differentially affect the weights of their reproductive organs compared with water and thus showed no inhibition effects. The reproductive organs of females treated with male urine did not differ significantly in weight from those of females treated with female urine. Females treated with water developed significantly larger uteri than those treated with urine from sexually mature population females (P≤0.02), inhibited population females (P<0.001) and inhibited population males (P<0.007).     

Union Professors: Framing Processes,Mobilizing Structures,and Participation in Faculty Unions*

This study traces the development of union loyalties among community college professors. Assuming that activism is motivated by contextual and ideological factors, the paper analyzes the ways that social networks, collegiate workplaces, and framing practices transform political bystanders into committed union members. Using data from a study of junior college professors in Kentucky (N = 329), the study finds that union participation is strongly linked to a distrust of campus administrators and having pro‐union friends and colleagues. Likewise, perceptions of union efficacy, a liberal identity as well the professor’s education level predicted the actual joining of their campus’ faculty union.