Who killed change management?

A story is told here of an investigation into change management's apparent death, provoked by the dubious business novel Who Killed Change [Blanchard, K., J. Britt, P. Zigarmi, and J. Hoekstra. 2009. Who Killed Change? Solving the Mystery of Leading People Through Change. London: Harper Collins Publishers]. The story is told over eight chapters inviting you to investigate competing explanations for the death of change management using the structure of the story arc: stasis, trigger, quest, surprise, critical choice, climax, reversal and resolution. An annoying voice (sometimes interior monologue and at other times dialogue) of another reader keen to inform and frame your understanding of the status of change management remains ever present. The case is solved with the story's resolution providing insights into advantages of investigating over literature reviewing, the problematic/masculine nature of murder metaphors, the academic potential of story arcs and the mystery which characterises organizational change.     

Dose‐Response Models Incorporating Aerosol Size Dependency for Francisella tularensis

The effect of bioaerosol size was incorporated into predictive dose‐response models for the effects of inhaled aerosols of Francisella tularensis (the causative agent of tularemia) on rhesus monkeys and guinea pigs with bioaerosol diameters ranging between 1.0 and 24 μm. Aerosol‐size‐dependent models were formulated as modification of the exponential and β‐Poisson dose‐response models and model parameters were estimated using maximum likelihood methods and multiple data sets of quantal dose‐response data for which aerosol sizes of inhaled doses were known. Analysis of F. tularensis dose‐response data was best fit by an exponential dose‐response model with a power function including the particle diameter size substituting for the rate parameter k scaling the applied dose. There were differences in the pathogen's aerosol‐size‐dependence equation and models that better represent the observed dose‐response results than the estimate derived from applying the model developed by the International Commission on Radiological Protection (ICRP, 1994) that relies on differential regional lung deposition for human particle exposure.     

A Comparative Pharmacokinetic Estimate of Mercury in U.S. Infants Following Yearly Exposures to Inactivated Influenza Vaccines Containing Thimerosal

The use of thimerosal preservative in childhood vaccines has been largely eliminated over the past decade in the United States because vaccines have been reformulated in single‐dose vials that do not require preservative. An exception is the inactivated influenza vaccines, which are formulated in both multidose vials requiring preservative and preservative‐free single‐dose vials. As part of an ongoing evaluation by USFDA of the safety of biologics throughout their lifecycle, the infant body burden of mercury following scheduled exposures to thimerosal preservative in inactivated influenza vaccines in the United States was estimated and compared to the infant body burden of mercury following daily exposures to dietary methylmercury at the reference dose established by the USEPA. Body burdens were estimated using kinetic parameters derived from experiments conducted in infant monkeys that were exposed episodically to thimerosal or MeHg at identical doses. We found that the body burden of mercury (AUC) in infants (including low birth weight) over the first 4.5 years of life following yearly exposures to thimerosal was two orders of magnitude lower than that estimated for exposures to the lowest regulatory threshold for MeHg over the same time period. In addition, peak body burdens of mercury following episodic exposures to thimerosal in this worst‐case analysis did not exceed the corresponding safe body burden of mercury from methylmercury at any time, even for low‐birth‐weight infants. Our pharmacokinetic analysis supports the acknowledged safety of thimerosal when used as a preservative at current levels in certain multidose infant vaccines in the United States.     

Longitudinal Links between Adolescent and Peer Conduct Problems and Moderation by a Sensitivity Genetic Index

The most extensively studied influence on adolescent conduct problem behaviors is peers, and the literature points to genetics as one source of individual differences in peer influence. The purpose of this study was to test the hypothesis that an environmental sensitivity genetic index comprised of DRD4, 5‐HTTLPR, and GABRA2 variation would moderate the association between peer and adolescent conduct problems. Latent growth modeling was applied to PROSPER project longitudinal data from adolescents and their peers. Results showed the hypothesis was supported; adolescents with more copies of putative sensitivity alleles were more strongly influenced by their peers. The interaction form was consistent with differential susceptibility in follow‐up analyses. Strengths and weaknesses of genetic aggregates for sensitivity research are discussed.     

The political process of the revolutionary samurai: a comparative reconsideration of Japan’s Meiji Restoration

In the 1860s and 1870s, the feudal monarchy of the Tokugawa shogunate, which had ruled Japan for over two centuries, was overthrown, and the entire political order it had commanded was dismantled. This immense political transformation, comparable in its results to the great social revolutions of the seventeenth through nineteenth centuries in the West, was distinctive for lacking a major role for mass political mobilization. Since popular political action was decisive elsewhere for both providing the force for social revolutions to defeat old regimes and for pushing revolutionary leaders to more radical policies, the Meiji Restoration’s combination of revolutionary outcomes with conservative personnel and means is puzzling. This article argues that previous accounts fail to explain why a group of relatively low-status samurai—administrative functionaries with some hereditary political privileges but in fact little secure power within the old regime—was able to overcome far more deeply entrenched political actors. To explain this, it is necessary to distinguish clearly between two political processes: the long-standing political relations of feudal monarchy and magnate lords and the unprecedented emergence of independent samurai political action and organizations cutting across domain boundaries. It was the interaction of these two processes that produced the overthrow of the Tokugawa and enabled the revolutionary outcomes that followed it. This article’s revised explanation of the Meiji Restoration clearly places it within the same theoretical parameters as the major revolutions of the seventeenth century and later.     

Recollections of Jack Michael and the Application of Skinner’s Analysis of Verbal Behavior

The Analysis of Verbal Behavior - Jack Michael offered a course on verbal behavior almost every year throughout his teaching career. Jack was also interested in the application of Skinner's...     

Gay guys using gay language: friendship,shared values and the intent‐context‐effect matrix

This article draws on in‐depth interviews with 35 openly gay male undergraduates from four universities in England to develop an understanding of the changing nature of language related to homosexuality. In addition to finding a diminution in the prevalence of homophobic language, we demonstrate that participants maintain complex and nuanced understandings of phrases that do not use homophobic pejoratives, such as ‘that's so gay’. The majority of participants rejected the notion that these phrases are inherently homophobic, instead arguing that the intent with which they are said and the context in which they are used are vital in understanding their meaning and effect. We conceptualize an intent‐context‐effect matrix to understand the interdependency of these variables. Highlighting the situated nature of this matrix, we also demonstrate the importance of the existence of shared norms between those saying and hearing the phrase when interpreting such language.     

Discussion of “Nonparametric Bayesian Inference in Applications”: Bayesian nonparametric methods in econometrics

The use of Bayesian nonparametrics models has increased rapidly over the last few decades driven by increasing computational power and the development of efficient Markov chain Monte Carlo algorithms. We review some applications of these models in economic applications including: volatility modelling (using both stochastic volatility models and GARCH-type models) with Dirichlet process mixture models, uses in portfolio allocation problems, long memory models with flexible forms of time-dependence, flexible extension of the dynamic Nelson-Siegel model for interest rate yields and multivariate time series models used in macroeconometrics.