“Let’s Talk About Children” resource: A parallel mixed method evaluation

Psycho-education interventions for families affected by parental mental illness have been found to be effective. This study aimed to assess the feasibility of a psycho-educational resource for parents, designed to initiate family discussions about parental mental illness and educate parents about the impact of their illness on children. In a mixed methods design, 19 parents read the “Let’s Talk About Children” psycho-educational resource and completed pre-and-post questionnaires measuring their perspectives of mental illness and awareness of the impact of mental illness on their children and family. 18 of these participated in a follow-up, one hour, individual interview to obtain further feedback on the resource. After viewing the resource, changes in parents’ attitudes and/or behavior in relation to mental illness and parenting were recorded. Interview findings indicate that the resource gave parents an awareness of the skills and knowledge needed for initiating family discussions about parental mental illness. The results of this study can be used to inform future interventions targeting parents who experience mental illness.     

Sequentielles Mixed-Methods-Sampling: Wie quantitative Sekundärdaten qualitative Stichprobenpläne und theoretisches Sampling unterstützen können

Mixed methods sampling has played a minor role in methodological discussions so far. In particular, there is a lack of information about practical implementations and critical reflections of sampling decisions and sampling steps showing the benefits and challenges of different approaches. Therefore, this paper demonstrates by drawing on an empirical example, how quantitative secondary data analysis (German Socio-Economic Panel, Linked Employer-Employee Data, Employment History) can support the empirically informed formation of contrast groups for qualitative sampling plans as well as field access to these contrast groups. Furthermore, the article will show how an additional theoretical sampling can extend the empirically grounded composition of contrast groups and can build upon the quantitative secondary data. The discussion is based on a project with an explanatory sequential research design which combines quantitative secondary analysis with subsequent expert interviews with human resources managers in companies and narrative interviews with employees. The project focusses on the causes, practices, and consequences of employment relationships with an interrupted membership in the same employing organization (“recalls”).     

“They Make Me Not Wanna Have a Child”: Effects of Companion Animals on Fertility Intentions of the Childfree

This article argues that for some who are childfree, the increasing perception of the companion animal as a sentient being with agency provides a deep, meaningful relationship with the power to inform fertility intentions. Qualitative, in‐depth interviews with childfree companion animal owners reveal that this relationship serves to reinforce previous fertility choices such as delaying or completely opting out of childbirth, thus affecting present household structure. This is reflected in the active choice by some participants to have companion animals instead of human children, the presence of a cost‐benefit analysis concerning animal companions and human children, and narratives that express a desire to mother or nurture as fulfilled in the relationship with the companion animal. Implications of these findings for both demography and marriage and family research in the United States are discussed.     

Descriptive Analysis of Foster Care Adoptions in New South Wales,Australia

This paper describes the population of children in care in New South Wales, Australia, who were adopted by their foster families (N?=?372) from 2003 to 2014. Data pertaining to 370 of these adoptees were available and obtained from administrative records accompanying adoption applications. Most of these children had been placed with their subsequent adoptive family during infancy. However, adoption orders occurred much later in their lives. According to the available information at the time of adoption, these children did not suffer the high levels of mental health problems typically identified in populations of children in foster care. Though the data do not include follow-up to determine if the contact agreed upon at the time of adoption orders translated into practice, the most frequently postadoption arrangement recorded was face-to-face contact, four times a year with mother and siblings. The high levels of openness and face-to-face contact in Australian adoptions from care are a significant point of difference with other adoption models, and presents a need for research in the area.

IMPLICATIONS

• Following the change of legislation in New South Wales, Australia, that prioritises open adoption over foster care, social workers in the field of child protection are well placed to assist in this process.

• Social workers can assess children entering care to identify those who will benefit from adoption in a timely manner; undertake casework and administrative aspects of the adoption process; work closely with the child, and birth and adoptive families by delivering pre- and post-adoption supports; and conduct longitudinal research on the outcomes for children adopted from care.

     

The implementation of digital technologies for operations management: a case study for manufacturing apps

Abstract

Manufacturing applications address business to business (B2B) with highly customised applications developed for specific requirements, offering highly specialised solution-oriented and service-based software components, systems, and digital tools that aim at a fast and accurate decision-making support system. The purpose of this paper is to describe the implementation of digital technologies for operations management using manufacturing or engineering apps (eApps), for product design and manufacturing processes. In particular, starting from the specific needs of two companies from mature European industries as automotive and food, this work depicts how this kind of solutions can support companies and improve their operations. In particular, related benefits and challenges faced for the full implementation of the developed tools are highlighted. Moreover a business model to exploit the manufacturing apps is also proposed. The business model proposed for the exploitation of the eApps supports the commercialisation of all the revenue streams offered by this rapidly growing sector taking into account the specific needs of the concerned stakeholders through a diversified value proposition.     

The role of the board in shaping foundations’ strategy: an empirical study

This paper investigates the relationships of the choice of philanthropic strategy with board capital (diversity and networks), board activities (board processes, internal board committees, and board effectiveness), and CEO leadership. Using a sample of 110 Italian foundations, the research shows that board processes have the strongest positive association with an evolved strategic approach to philanthropic institutional grant-giving, while board diversity and strong CEO leadership are associated with the strategic approach only under certain conditions. In particular, good governance processes (e.g., training the board, self-evaluation of trustees, setting the stage for effective board and committee meetings, implementing control software, and steering meetings to improve the board’s analysis) are positively associated with evolved strategic approaches to philanthropy (e.g., signaling other funders for the best grantees, improving the performance of grant recipients, and advancing selected social fields’ state of knowledge and practice).     

The Use of Simulation to Reduce the Domain of “Black Swans” with Application to Hurricane Impacts to Power Systems

Recently, the concept of black swans has gained increased attention in the fields of risk assessment and risk management. Different types of black swans have been suggested, distinguishing between unknown unknowns (nothing in the past can convincingly point to its occurrence), unknown knowns (known to some, but not to relevant analysts), or known knowns where the probability of occurrence is judged as negligible. Traditional risk assessments have been questioned, as their standard probabilistic methods may not be capable of predicting or even identifying these rare and extreme events, thus creating a source of possible black swans. In this article, we show how a simulation model can be used to identify previously unknown potentially extreme events that if not identified and treated could occur as black swans. We show that by manipulating a verified and validated model used to predict the impacts of hazards on a system of interest, we can identify hazard conditions not previously experienced that could lead to impacts much larger than any previous level of impact. This makes these potential black swan events known and allows risk managers to more fully consider them. We demonstrate this method using a model developed to evaluate the effect of hurricanes on energy systems in the United States; we identify hurricanes with potentially extreme impacts, storms well beyond what the historic record suggests is possible in terms of impacts.