Chaos: A Challenge to Refine Systems Theory

Chaos theory may have relevance to marital and family therapy. Some connections are tentatively explored.     

Perceived importance of “social goals” in business organizations

Business organizations operate within a complex socio-technical environment. Interactions between these socio-technical dimensions and the managers' personal value systems are thought to influence managerial role patterns and decisions. This paper investigates shifts in perceived importance of “social goals” from a set of organizational goals. The research concludes that there has been no significant changes occurring in either the ordering or the clustering of organizational goals.     

Socioeconomic Achievement and Religion: The American Case

Religious preference at several points in the life cycle is examined with regard to its affect on socioeconomic achievement and with regard to how religious preference is influenced by education, occupation, and income. The importance of considering the several major denominations separately instead of as a single category is demonstrated. When this is done Jews, Presbyterians, and Episcopalians have above average socioeconomic achievements; Methodists and Catholics are near the mean; and Baptists are below the average. Controlling for social origins and early achievements greatly attenuates the differences, but does not remove them with regard to education and income.     

Fear of people with mental illnesses: the role of personal and impersonal contact and exposure to threat or harm

Vignette and laboratory experiments suggest that negative reactions to people with mental illness are a direct consequence of their symptomatic behavior, but because of their poor external validity, these studies cannot tell us whether widespread negative public reactions to people with mental illness actually result from observation of symptomatic behavior. Focusing on perceived danger, we use a large national survey to test the "behavior hypothesis" in the general population. We reason that, if this hypothesis is correct, contact with people with mental illnesses should be associated with more perceived danger, and exposure to threat or harm should mediate this association. On the contrary, respondents with more personal and impersonal contact perceive people with mental illness to be less dangerous. Exposure to threat is more common among people with more contact, but this exposure explains very little of the variance in perceived danger. These findings do not support the conclusion that public fear of people with mental illness is due to the observation of violent behavior.     

The production of understanding

While there is little doubt that sociological theory and research has had an important impact on the way people think about health and health care, mental health and medical sociologists are often confronted with challenges concerning the utility of the work that they do. Among the doubters are deans, funding agencies and family members. We are challenged by the ascendency of biological interpretations of human behaviors, by the incompatibility between the contextual view we prefer and the very strong individualistic orientation of our culture, and by the fact that we do not have an applied arm that trains the professionals who treat health and mental-health conditions. How do we respond to this challenge? The title of this paper gives a short answer: "The Production of Understanding." I propose that a powerful but under-recognized value of our work is the generation of explanations about health and mental health matters that help people understand the other side of an "us"/"them" divide. We produce understanding in a context in which misunderstanding is regularly constructed by powerful people who offer victim-blaming explanations for the circumstances experienced by people with less power. The production of understanding serves as an important counterbalance to this tendency. Our work shapes the way people think about problems related to health and mental health, limits the power of inaccurate victim-blaming accounts and provides understanding about why health and mental health are mal-distributed among people from different social circumstances.     

Use of Markov Chain Monte Carlo Analysis with a Physiologically-Based Pharmacokinetic Model of Methylmercury to Estimate Exposures in U.S. Women of Childbearing Age

A Bayesian approach, implemented using Markov Chain Monte Carlo (MCMC) analysis, was applied with a physiologically‐based pharmacokinetic (PBPK) model of methylmercury (MeHg) to evaluate the variability of MeHg exposure in women of childbearing age in the U.S. population. The analysis made use of the newly available National Health and Nutrition Survey (NHANES) blood and hair mercury concentration data for women of age 16–49 years (sample size, 1,582). Bayesian analysis was performed to estimate the population variability in MeHg exposure (daily ingestion rate) implied by the variation in blood and hair concentrations of mercury in the NHANES database. The measured variability in the NHANES blood and hair data represents the result of a process that includes interindividual variation in exposure to MeHg and interindividual variation in the pharmacokinetics (distribution, clearance) of MeHg. The PBPK model includes a number of pharmacokinetic parameters (e.g., tissue volumes, partition coefficients, rate constants for metabolism and elimination) that can vary from individual to individual within the subpopulation of interest. Using MCMC analysis, it was possible to combine prior distributions of the PBPK model parameters with the NHANES blood and hair data, as well as with kinetic data from controlled human exposures to MeHg, to derive posterior distributions that refine the estimates of both the population exposure distribution and the pharmacokinetic parameters. In general, based on the populations surveyed by NHANES, the results of the MCMC analysis indicate that a small fraction, less than 1%, of the U.S. population of women of childbearing age may have mercury exposures greater than the EPA RfD for MeHg of 0.1 μg/kgg/day, and that there are few, if any, exposures greater than the ATSDR MRL of 0.3 μgg/kgg/day. The analysis also indicates that typical exposures may be greater than previously estimated from food consumption surveys, but that the variability in exposure within the population of U.S. women of childbearing age may be less than previously assumed.     

Knowledge Management Systems in Multinational Corporations: Typology and Transitional Dynamics

Knowledge Management Systems (KMSs) are becoming part of the agenda in many of today's leading firms. Through in-depth case studies of seven multinational companies (MNCs), examined over a period of four years, we identify four distinctive types of KMS - Fragmented, Content-based, Process-based and Capability-based - and their characteristics. These characteristics include both the structure, dimension and flow of the knowledge itself, and the staffing, training and reward systems in place to support the KMS. Relevant organisational factors influencing KMS design and implementation include the level of resource commitment by the headquarters, the structure of the firm, and the distribution of roles between headquarters and subsidiaries. Key external influences include the degree of environmental change and pressures to follow industry norms in technology investment. Our empirical evidence suggests that while some MNCs adopt the same type of KMS for relatively long periods of time, others transit between different KMS types. Moreover, transitions between types may follow either an increased resource commitment and augmented KMS sophistication, or a decreased resource commitment and reduced KMS complexity. Insights from the strategy-structure-process and change management literatures are utilised to examine these transitions between KMS types. Key lessons for MNC managers are provided in relation to both the initial adoption of a KMS and the handling of transitions between different systems.