Evaluating and Visualizing the Economic Impact of Commercial Districts Due to an Electric Power Network Disruption

Critical infrastructure networks enable social behavior, economic productivity, and the way of life of communities. Disruptions to these cyber–physical–social networks highlight their importance. Recent disruptions caused by natural phenomena, including Hurricanes Harvey and Irma in 2017, have particularly demonstrated the importance of functioning electric power networks. Assessing the economic impact (EI) of electricity outages after a service disruption is a challenging task, particularly when interruption costs vary by the type of electric power use (e.g., residential, commercial, industrial). In contrast with most of the literature, this work proposes an approach to spatially evaluate EIs of disruptions to particular components of the electric power network, thus enabling resilience‐based preparedness planning from economic and community perspectives. Our contribution is a mix‐method approach that combines EI evaluation, component importance analysis, and GIS visualization for decision making. We integrate geographic information systems and an economic evaluation of sporadic electric power outages to provide a tool to assist with prioritizing restoration of power in commercial areas that have the largest impact. By making use of public data describing commercial market value, gross domestic product, and electric area distribution, this article proposes a method to evaluate the EI experienced by commercial districts. A geospatial visualization is presented to observe and compare the areas that are more vulnerable in terms of EI based on the areas covered by each distribution substation. Additionally, a heat map is developed to observe the behavior of disrupted substations to determine the important component exhibiting the highest EI. The proposed resilience analytics approach is applied to analyze outages of substations in the boroughs of New York City.     

R package rjmcmc: reversible jump MCMC using post‐processing

The rjmcmc package for R implements the post‐processing reversible jump Markov chain Monte Carlo (MCMC) algorithm of Barker & Link. MCMC output from each of the models is used to estimate posterior model probabilities and Bayes factors. Automatic differentiation is used to simplify implementation. The package is demonstrated on two examples.     

A habitus of instability: youth homelessness and instability

This research introduces the concept of a habitus of insecurity to account for the lives of homeless young people. It outlines how conditions of existence are internalised and how homeless young people come to expect and in turn recreate instability in their lives. This research addresses the internalisation and naturalisation of experiences of instability, insecurity and marginalisation and how people can come to subjectively aspire to what they are socialised to see as objectively probable or ‘for the likes of them'. The research draws on ethnographic research and participant observation to examine the complex lives of homeless young people and how they are shaped by instability and insecurity inculcated before, during and after experiences of homelessness. This research highlights that people should not be defined merely by their experiences of homelessness of housing status, but by the complex array of conditions that shape their lives.     

The Mechanistic Structure Shift and Strategic Reorientation in Declining Firms Attempting Turnarounds

Past researchers have observed that decliningorganizations often experience mechanistic structuralchanges that centralize authority, increase reliance onformalized procedures, and reduce the amount of information flowing to top managers. Many haveproposed that this “mechanistic shift” indeclining organizations reduces their adaptivecapability by making innovative organizational change in response to decline less likely. However,despite much research on declining firms and theirturnaround attempts, many questions about mechanisticshifts remain, such as: (1) To what extent do declining firms become systematically mechanistic whentrying to recover from decline? (2) What aspects ofdeclining firms' situations make mechanistic shifts morelikely? (3) Do mechanistic shifts reduce the likelihood of large-scale strategic reorientation asdeclining firms attempt to recover? We sought answers tothese questions through an analysis of data fromin-depth interviews with top managers (mostly CEOs) at 29 U.S. firms attempting turnarounds fromdecline. Our primary finding was that mechanisticstructure shifts did restrict firms' abilities to changetheir strategic orientations in response to decline. Highlighting the important role of the contextof turnaround attempts, we further found the averagedeclining firm attempting a turnaround did not becomemore mechanistic, but that turnaround attempts launched from financial crises were significantly morelikely to lead to mechanistic shifts. Also, we foundthat the common practice of replacing the firm's CEOduring turnaround attempts had conflicting andparadoxical effects on firms' abilities to enact strategicreorientations.     

Child Protection,Public Services and the Chimera of Market Force Efficiency

The different agencies and professions that contribute towards child protection services have all recently had to begin to take account of the impact of market forces on their activities, yet detailed consideration of the consequences of this are slow to emerge. This article begins to consider these changes for child protection services. Having briefly described the child protection systems in England and Wales, it looks at the theoretical underpinning to the market forces approach which has become a significant ideological position in respect of public services in the UK and increasingly throughout the world. The article then considers the impact of a market forces approach on the organization of child protection services in relation to coordination versus fragmentation, profit versus professionalism, planning versus short-termism, and cooperation versus competition. It concludes that the argument that a market forces approach to child protection will lead to greater efficiency in relation to protecting children is a chimera. The article is thus of relevance for the different professions who contribute to child protection services in all countries where a market approach to public welfare is being suggested or implemented.     

Career Maturity in College Students With Learning Disabilities

This study compared levels of career maturity between college students with and without learning disabilities and investigated factors associated with career maturity. Few differences in career maturity were found. However, different predictors of career maturity for the two groups emerged. For students with learning disabilities, number of accommodations and quantity of work experience accounted for 22% of the variance in career maturity. For students without disabilities, academic achievement and type of work experience accounted for 21% of the variance in career maturity. Students with learning disabilities who received more instructional accommodations had lower levels of career maturity.