This research examines the characteristics of the age demographic of a top management team (TMT) as drivers of a firm's environmental management (EM) strategy comprising compliance-only and beyond-compliance initiatives. Using a matched sample of publicly listed firms in Kinder, Lydenberg, and Domini and Bloomberg, panel data regression techniques on a unique dataset of 3,251 firm-year observations suggest that a link does exist. Driven by a desire for legacy and a preference for risk-averse decisions, aging TMTs will support beyond-compliance initiatives. On the other hand, age diversity is expected to enhance the innovative potential of a TMT for solving pressing compliance-related environmental issues. The study finds that aging TMTs support beyond-compliance as compared to compliance-only EM strategies. TMT age diversity, though helpful in developing compliance-only initiatives, is not instrumental in driving beyond-compliance initiatives. The study highlights the challenges in developing a comprehensive EM strategy suggesting paths for future research.

Disasters are typically unforeseen, causing most social and behavioral studies about disasters to be reactive. Occasionally, predisaster data are available, for example, when disasters happen while a study is already in progress or where data collected for other purposes already exist, but planned pre-post designs are all but nonexistent. This gap fundamentally limits the quantification of disasters’ human toll. Anticipating, responding to, and managing public reactions require a means of tracking and understanding those reactions, collected using rigorous scientific methods. Oftentimes, self-reports from the public are the best or only source of information, such as perceived risk, behavioral intentions, and social learning. Significant advancement in disaster research, to best inform practice and policy, requires well-designed surveys with large probability-based samples and longitudinal assessment of individuals across the life-cycle of a disaster and across multiple disasters.

This paper examines the stability of egocentric networks as reported over time using a novel touchscreen-based participant-aided sociogram. Past work has noted the instability of nominated network alters, with a large proportion leaving and reappearing between interview observations. To explain this instability of networks over time, researchers often look to structural embeddedness, namely the notion that alters are connected to other alters within egocentric networks. Recent research has also asked whether the interview situation itself may play a role in conditioning respondents to what might be the appropriate size and shape of a social network, and thereby which alters ought to be nominated or not. We report on change in these networks across three waves and assess whether this change appears to be the result of natural churn in the network or whether changes might be the result of factors in the interview itself, particularly anchoring and motivated underreporting. Our results indicate little change in average network size across waves, particularly for indirect tie nominations. Slight, significant changes were noted between waves one and two particularly among those with the largest networks. Almost no significant differences were observed between waves two and three, either in terms of network size, composition, or density. Data come from three waves of a Chicago-based panel study of young men who have sex with men.

This panel study, conducted in a large Venezuelan organization, took advantage of a serendipitous opportunity to examine the organizational commitment profiles of employees before and after a series of dramatic, and unexpected, political events directed specifically at the organization. Two waves of organizational commitment data were collected, 6 months apart, from a sample of 152 employees. No evidence was found that employees’ continuance commitment to the organization was altered by the events described here. Interestingly, however, both affective and normative commitment increased significantly during the period of the study. Further, employee’s commitment profiles at Wave 2 were more differentiated than they were at Wave 1.

In this article we present the results of a panel survey in which 242 men aged 40 to 55 were followed for approximately seven years after they became involuntarily unemployed. The study focused on reintegration probabilities of the older workers and on the question of their reaction to a situation of prolonged unemployment. The study shows that if policy is not changed, the probability of the reintegration of older, long-term unemployed persons into the labour force will remain extremely low. Re-entry via a ‘normally’ functioning labour market (formal application procedures and official job intermediaries) takes place almost exclusively during the first year after dismissal. If a new job is not found, a resigned feeling occurs among almost all of this older unemployed group. Most of the older people adjust to the new circumstances sooner or later. If one wishes to protect older persons from the trap of long-term unemployment (and in many cases total exclusion), more rapid interventions must be made, and reorientation and retraining efforts must be started sooner, before it is ‘too late’. From the employer’s point of view, there is not much interest in those who are still unemployed after one year.

In a wide variety of multi-wave panel studies in economics and sociology, comparisons between the observed transition matrices and predictions of them based on time-homogeneous Markov chains have revealed a special kind of discrepancy: the trace of the observed matrices tends to be larger than the trace of the predicted matrices. A common explanation for this discrepancy has been via mixtures of Markov chains.

Specializing to mixtures of Markov semi-groups of the form

we exhibit classes of stochastic matrices M, probability measures µ and time intervals Δ such that for k = 2, 3 and 4. These examples contradict the substantial literature which suggests — implicitly — that the above inequality should be reversed for general mixtures of Markov semi-groups.