CAN A HIGH SENSE OF CONTROL AND JOHN HENRYISM BE BAD FOR MENTAL HEALTH?

Social stratification profoundly affects mental health. Specifically, substantial empirical evidence finds that higher status promotes mental health via a higher sense of control and a propensity to cope actively with problems. An unresolved issue, though, is whether the effects of sense of control and active coping on mental health are uniformly beneficial across levels of socioeconomic status. Perceived control and John Henryism, an active coping style, may undermine mental health, especially for lower-status persons, who lack resources. Using data from the National Comorbidity Survey for African Americans, Hispanics, and whites, we find that both sense of control and John Henryism tend to be monotonically related to positive mental health regardless of socioeconomic status and race/ethnicity.     

Analysis of Australian Research Council Grants Awarded for Social Work Projects 2008–2017

ABSTRACT

The quantity and quality of social work research is central to creating knowledge for the profession and maintaining social work’s presence and status in universities. This study examines Australian Research Council grants awarded for social work projects for the 10-year period 2008–2107. It investigates the quantum of grants and the topics addressed, and compares social work to related social sciences. The field of social work was awarded 84 research grants over the 10-year period, a total of $23 million and an average of 8.4 grants per year. However, this did not match the grant successes of the two comparator fields of criminology and social policy and administration. Having a clear picture of research achievements, including grants, is necessary to enable the discipline to plot a strategic way forward, addressing gaps and deficits, and building on strengths.

IMPLICATIONS

• Increasing research grant success is vital to the ongoing development of the social work knowledge base, and bolsters the standing of social work in universities.

• Maximising the use of social work Field of Research codes will increase the visibility of social work research, especially in multidisciplinary projects.

• Social work researchers should publicise competitive grant successes

     

Re-approaching interview data through qualitative secondary analysis: interviews with internet gamblers

ABSTRACT

This paper addresses two interrelated questions concerning what interview data are and how researchers might use them. The first considers the value of a shift from a predominant or exclusive focus upon how data are constructed and produced at interview, and towards how such data might be apprehended through different forms of engagement. The second question relates to how and what qualitative secondary analysis (QSA) might be used to tell about the social world. In exploring this, we advance a critique of the divide between primary and secondary analysis, recasting the debate in terms of different degrees and qualities of ‘proximity’ and ‘distance’ from the formative contexts of data generation, and the distinctive analytical affordances that relate to these. Using QSA of interview data from a study of problem internet gambling as an empirical crucible, we consider the kinds of participation that interviewees develop through reciprocal engagement with interviewers. We illustrate how participants reflexively negotiate the affordances and limits to the narratives through which they frame and recount their experiences. Finally, we show how interview data can be used both to speak of the temporal, relational, spatial, epistemic contexts of their production, and also to contexts and questions beyond these.     

The inherent tensions within sustainable supply chains: a case study from Bangladesh

Abstract

The complexities surrounding the supply chain logistics for perishable commodities within Bangladesh are extensive. Poor infrastructure, fragmented transportation and corruption compound the operational complexities within this emerging market. This case study analyses many of the day-to-day operational challenges and tensions inherent within Micro-Small-Medium Enterprises (MSMEs) forming the backbone of the Bangladesh socio-economic structure. The drive for transition toward greater levels of sustainability and corporate responsibility is problematic, affecting many levels within an extended and fragmented supply chain. The selected case study highlights the ‘lived in’ geographical, environmental, economic and cultural factors that impact the ability of emerging market enterprises to remain profitable within emergency scenarios whilst transitioning toward a more sustainable model. This study, whilst detailing many of the tensions and critical issues facing MSMEs, highlights the benefits of direct Government intervention, criticality of a leaner and more efficient supply chain and reassessment of financial incentives to drive the transition to a more efficient and sustainable economy.     

A performance measurement paradigm for integrating strategy formulation: A review of systems and frameworks

Measuring organizational performance plays a very important part in translating corporate strategy into results. Various emerging (non-traditional) performance systems have recently been devised to aid firms in selecting and implementing measures. This paper discusses the strategy/measurement initiatives and compares ten emerging performance measurement systems with respect to a list of performance dimensions, the characteristics of performance measures, and the requirements of development process. Although these systems have constraints borne with their own application domains, they stand by themselves empirically and/or theoretically, and provide guidance about what to measure and how to design performance measures that could be linked to the corporate strategy and objectives of an organization. This paper concludes that there is a need to develop a paradigm for integrating strategy formulation and performance measurement in organizations.     

Global value chains for medical gloves during the COVID-19 pandemic: Confronting forced labour through public procurement and crisis

This paper evaluates ways in which labour issues in global value chains for medical gloves have been affected by, and addressed through, the COVID-19 pandemic. It focuses on production in Malaysia and supply to the United Kingdom's National Health Service and draws on a large-scale survey with workers and interviews with UK government officials, suppliers and buyers. Adopting a Global Value Chain (GVC) framework, the paper shows how forced labour endemic in the sector was exacerbated during the pandemic in the context of increased demand for gloves. Attempts at remediation are shown to operate through both a reconfigured value chain in which power shifted dramatically to the manufacturers and a context where public procurement became higher in profile than ever before. It is argued that the purchasing power of governments must be leveraged in ways that more meaningfully address labour issues, and that this must be part of value chain resilience.     

Prior distributions for variance parameters in a sparse-event meta-analysis of a few small trials

In rare diseases, typically only a small number of patients are available for a randomized clinical trial. Nevertheless, it is not uncommon that more than one study is performed to evaluate a (new) treatment. Scarcity of available evidence makes it particularly valuable to pool the data in a meta-analysis. When the primary outcome is binary, the small sample sizes increase the chance of observing zero events. The frequentist random-effects model is known to induce bias and to result in improper interval estimation of the overall treatment effect in a meta-analysis with zero events. Bayesian hierarchical modeling could be a promising alternative. Bayesian models are known for being sensitive to the choice of prior distributions for between-study variance (heterogeneity) in sparse settings. In a rare disease setting, only limited data will be available to base the prior on, therefore, robustness of estimation is desirable. We performed an extensive and diverse simulation study, aiming to provide practitioners with advice on the choice of a sufficiently robust prior distribution shape for the heterogeneity parameter. Our results show that priors that place some concentrated mass on small τ values but do not restrict the density for example, the Uniform(−10, 10) heterogeneity prior on the log(τ²) scale, show robust 95% coverage combined with less overestimation of the overall treatment effect, across varying degrees of heterogeneity. We illustrate the results with meta-analyzes of a few small trials.     

The future of forms of data communications

The first section of the paper is a review of current and planned data communications services. This covers the current state of the art in these services, identifies the need for change and surveys what plans have been made for new services. It looks at what forms of data communications have been established in various countries including the U.K., Germany, U.S.A. and Australia. The second part of the paper poses some key questions. These are broadly similar to those involved in planning other major new investments in utilities or public transportation involving a high degree of technical innovation. They cover the problems of designing a new technology, the pricing of data communications utilities, how to evaluate new services and what the role of the monopoly supplier should be. The paper does not set out to answer these questions but to expose them as areas where controversy is centred, and new research work required.     

The cost of poor quality: an opportunity of enormous proportions

In all organizations, the state of finance is routinely reported in sublime detail for study and action. And yet, anywhere from 20 to 50 percent of the monies involved in that report are never identified as unnecessary and nonproductive. These monies, referred to as the Cost of Waste (COW), are the result of actions that have been taken or must be taken because quality is not served--inappropriate actions are being performed or appropriate actions are not being performed right the first time, every time. Proactively determining, reporting, and monitoring the COW brings a degree of objectivity to the quality management process and provides a powerful internal driver for performance improvement. A 10 step Cost of Waste system is proposed.