The keiretsu in Asia: Implications for multilevel theories of competitive advantage

Much of our understanding of competitive advantage draws upon the experience of Western firms. Massive Japanese investment in an effort to replicate keiretsu (interfirm) networks in Asia since the 1980s presents fertile grounds to shed new light on the sources of competitive advantage. Building on such an experience, this article develops a multilevel perspective focusing on how competitive advantage is preserved and strengthened for firms, networks, and nations involved. Its hallmark is careful attention to levels of analysis by (a) spelling out the attendant assumption of homogeneity among keiretsu member firms, (b) explaining the basis of such an assumption, (c) exploring alternative assumptions, and (d) drawing upon diverse subtopics within the strategy literature.     

Review of the statistical analysis of the dog telemetry study

In 2008, the PSI Toxicology Special Interest Group met to discuss the design and analysis of dog telemetry studies. The dog telemetry study is one component of the integrated cardiovascular assessment required by regulatory bodies. Although there are guidelines for these studies, little is said about the statistical analysis. With parameters of interest measured continually over time, in studies typically involving four dogs, the analysis is not straightforward. This has led to many different types of analysis being proposed in the literature, with many different methods applied within the pharmaceutical industry itself. This paper summarizes the PSI Toxicology group's discussions and recommendations around these issues.     

An assessment of the statistical methods used to analyse toxicology studies

The Statisticians in the Pharmaceutical Industry Toxicology Special Interest Group has collated and compared statistical analysis methods for a number of toxicology study types including general toxicology, genetic toxicology, safety pharmacology and carcinogenicity. In this paper, we present the study design, experimental units and analysis methods.     

Does welfare reform affect fertility? Evidence from the UK

This paper provides evidence on the effect of welfare reform on fertility, focusing on UK reforms in 1999 that increased per-child spending by 50% in real terms. We use a difference-in-differences approach, exploiting the fact that the reforms were targeted at low-income households. The reforms were likely to differentially affect the fertility of women in couples and single women because of the opportunity cost effects of the welfare-to-work element. We find no increase in births among single women, but evidence to support an increase in births (by around 15%) among coupled women.     

A Risk Assessment Framework for the Socioeconomic Impacts of Electricity Transmission Infrastructure Failure Due to Space Weather: An Application to the United Kingdom

Space weather phenomena have been studied in detail in the peer‐reviewed scientific literature. However, there has arguably been scant analysis of the potential socioeconomic impacts of space weather, despite a growing gray literature from different national studies, of varying degrees of methodological rigor. In this analysis, we therefore provide a general framework for assessing the potential socioeconomic impacts of critical infrastructure failure resulting from geomagnetic disturbances, applying it to the British high‐voltage electricity transmission network. Socioeconomic analysis of this threat has hitherto failed to address the general geophysical risk, asset vulnerability, and the network structure of critical infrastructure systems. We overcome this by using a three‐part method that includes (i) estimating the probability of intense magnetospheric substorms, (ii) exploring the vulnerability of electricity transmission assets to geomagnetically induced currents, and (iii) testing the socioeconomic impacts under different levels of space weather forecasting. This has required a multidisciplinary approach, providing a step toward the standardization of space weather risk assessment. We find that for a Carrington‐sized 1‐in‐100‐year event with no space weather forecasting capability, the gross domestic product loss to the United Kingdom could be as high as £15.9 billion, with this figure dropping to £2.9 billion based on current forecasting capability. However, with existing satellites nearing the end of their life, current forecasting capability will decrease in coming years. Therefore, if no further investment takes place, critical infrastructure will become more vulnerable to space weather. Additional investment could provide enhanced forecasting, reducing the economic loss for a Carrington‐sized 1‐in‐100‐year event to £0.9 billion.     

UK Paramedics Confidence in Identifying Child Sexual Abuse: A Mixed-Methods Investigation

United Kingdom (UK) paramedics are in a prime position to identify children and young people who are victims or at risk of sexual abuse. Paramedics have access, by phone, or in person, to unprepared homes and communities which other health professionals such as social workers may not. Little research exists however, investigating UK paramedic confidence in identifying child sexual abuse. This mixed-method explanatory sequential investigation used the self-reported confidence levels of 276 UK paramedics to inform the design of seven semi-structured focus groups with 25 UK paramedics from a large ambulance service with operating models similar to all UK services. Multiple factors contribute to a lack of confidence in identifying child sexual abuse, child sexual exploitation, and female genital mutilation, including a perceived lack of exposure to sexual abuse, the perceived hidden nature of sexual abuse, and the lack of physical symptoms and examination. An overarching lack of knowledge is the most significant contributor to a lack of confidence which in turn perpetuates misinformation surrounding prevalence, location, and the signs and symptoms of sexual abuse. These findings suggest a lack of sufficient training and a need for further research evaluating the content of current training and its method of delivery.     

Bayesian CV@R/super-quantile regression

In this paper we provide a Bayesian interpretation of the conditional value at risk, CV@R, or super-quantile regression recently developed by Rockafellar et al. [Super-quantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk, Eur. J. Oper. Res. 234 (2014), pp. 140–154]. Computations are based on particle filtering using a special posterior distribution consistent with the super-quantile concept. An empirical application to data used by RRM as well to another data set on energy prices confirms their results and shows the applicability of the new techniques.     

Balanced covariates with response adaptive randomization

Response adaptive randomization (RAR) methods for clinical trials are susceptible to imbalance in the distribution of influential covariates across treatment arms. This can make the interpretation of trial results difficult, because observed differences between treatment groups may be a function of the covariates and not necessarily because of the treatments themselves. We propose a method for balancing the distribution of covariate strata across treatment arms within RAR. The method uses odds ratios to modify global RAR probabilities to obtain stratum‐specific modified RAR probabilities. We provide illustrative examples and a simple simulation study to demonstrate the effectiveness of the strategy for maintaining covariate balance. The proposed method is straightforward to implement and applicable to any type of RAR method or outcome.     

The Nature of Posttraumatic Growth in Adult Survivors of Child Sexual Abuse

Potential negative sequelae for survivors of child sexual abuse is well documented. However, growing evidence suggests that some individuals who actively cope with traumatic events can progress from a negative trajectory toward positive psychological change, often termed posttraumatic growth. Current posttraumatic growth theories may be of limited applicability to developmental considerations involved in child sexual abuse. This explorative study examines posttraumatic growth among adult female survivors of child sexual abuse. In-depth interviews were conducted with six participants who believed they had grown through coping with their abuse. Data was analyzed using interpretative phenomenological analysis. Three superordinate and nine subordinate themes were identified and explored. Some participants reported experiencing growth and distress simultaneously. Theoretical and clinical implications are examined in relation to the study’s findings.