Accounting Accreditation: Value Added Or Waste Of Resources?

In a forthcoming paper Everard, Edmonds, and St. Pierre (2014) question whether the AACSB has achieved its mission of recognizing excellence in business education and whether it has shown continuous improvement in its efforts since the change to a mission driven focus. In this paper, the authors expand on this topic and address the value of accounting accreditation from the perspective of the market it serves, whether accounting accreditation has diminished in value because of the quality of the programs being accredited, and whether accounting accreditation is an idea that has run its course. We conclude that since the move to a mission driven focus, the AACSB has diminished its brand, has failed in its ability todifferentiate quality accounting programs in the higher education market, and has not met its objective of continuous improvement for the organization itself. Unless changes are made in the organization, itsvalue in the higher education marketplace will diminish over time and the brand could become irrelevant

Measuring the Success of Female Faculty in the IS Research Arena: An Empirical Investigation

The gender disparity in the US IT workforce is well documented (Brandel, 2014). This research-in-progress looks at (1) whether a concomitant gender gap exists in MIS university faculty members and (2) whether women and men university faculty members are equally successful in the profession, as measured by their publishing activity in the leading MIS journals. In order to investigate these issues, we collect data on (1) female representation in the IS discipline and (2) female representation in the leading IS journals. We are not only interested in how many women are in the MIS academic field, but how successful they are from a publication perspective. Just as having a diverse workforce and female-friendly policies is touted as good business for industry, having a diverse workforce is good for academia. Having more women faculty members increases the attractiveness of the profession for other women, especially if they are deemed successful

Contributors to the High-impact IS Journals (1977-2014): An Aid for Setting Research Standards

Interest in the rankings of contributors to academic literature is evidenced by the numerous publications across most business and economic disciplines. This study presents the most prolific authors 1) over the entire history of the 11 high-impact IS journals and 2) over the ten most recent years for each of the journals. We include the number of authors who have published in the journals but who may not be considered prolific based on our classification; this data is important and especially critical for IS departments that set research standards. Identifying and ranking authors in the IS discipline is interesting for several reasons. While some may be curious to see how they perform compared to these researchers, a more beneficial application of the findings in this paper pertains to establishing realistic promotion and tenure standards. Although 11,204 authors published in the 11 high-impact journals, 7,734 (69%) of those authors published only once in these journals in the 1977-2014 period. This fact is essential for any IS department that sets promotion and tenure guidelines. Using our findings will help colleges and IS departments establish reasonable and attainable promotion and tenure standards based on the actual performance of others in the discipline

Clothing sustainability and upcycling in Ghana

The aim of this paper is to assess opportunities for the upcycling of waste clothing through design workshops held in Accra, Ghana. An upcycling approach to clothing longevity examines how garments can be re-designed and resold in a new form. Significant amounts of surplus and second-hand clothing from the developed world and large producer nations, for example China, are distributed to Africa and sold in local markets at affordable prices. The research was conducted into upcycling waste clothing from the market by five groups of fashion design students at Accra Technical University (ATU). A participatory research design was applied to the project and the initial briefing to design groups confirmed the concept of upcycling and the design parameters. Each group defined a design theme, made a selection of clothes and accessories in the Accra market and returned to the university to conceptualise and re-create clothes and accessories. The project culminated in presentations of finished garments modelled by the students. It addressed the disposal stage of the circular economy model of clothing sustainability by providing new knowledge of how waste clothing, readily available in a developing country’s market can be sourced and creatively re-designed into new garments and accessories

Autworks: a Cross-Disease Network Biology Application for Autism and Related Disorders

Background: The genetic etiology of autism is heterogeneous. Multiple disorders share genotypic and phenotypic traits with autism. Network based cross-disorder analysis can aid in the understanding and characterization of the molecular pathology of autism, but there are few tools that enable us to conduct cross-disorder analysis and to visualize the results. Description: We have designed Autworks as a web portal to bring together gene interaction and gene-disease association data on autism to enable network construction, visualization, network comparisons with numerous other related neurological conditions and disorders. Users may examine the structure of gene interactions within a set of disorder-associated genes, compare networks of disorder/disease genes with those of other disorders/diseases, and upload their own sets for comparative analysis. Conclusions: Autworks is a web application that provides an easy-to-use resource for researchers of varied backgrounds to analyze the autism gene network structure within and between disorders

Migratory Typing: Ten Years Later

In this day and age, many developers work on large, untyped code repositories. Even if they are the creators of the code, they notice that they have to figure out the equivalent of method signatures every time they work on old code. This step is time consuming and error prone. Ten years ago, the two lead authors outlined a linguistic solution to this problem. Specifically they proposed the creation of typed twins for untyped programming languages so that developers could migrate scripts from the untyped world to a typed one in an incremental manner. Their programmatic paper also spelled out three guiding design principles concerning the acceptance of grown idioms, the soundness of mixed-typed programs, and the units of migration. This paper revisits this idea of a migratory type system as implemented for Racket. It explains how the design principles have been used to produce the Typed Racket twin and presents an assessment of the project\u27s status, highlighting successes and failures

Do MRI findings identify patients with chronic low back pain and Modic changes who respond best to rest or exercise: A subgroup analysis of a randomised controlled trial

Background: No previous clinical trials have investigated MRI findings as effect modifiers for conservative treatment of low back pain. This hypothesis-setting study investigated if MRI findings modified response to rest compared with exercise in patients with chronic low back pain and Modic changes. Methods: This study is a secondary analysis of a randomised controlled trial comparing rest with exercise. Patients were recruited from a specialised outpatient spine clinic and included in a clinical trial if they had chronic low back pain and an MRI showing Modic changes. All patients received conservative treatment while participating in the trial. Five baseline MRI findings were investigated as effect modifiers: Modic changes Type 1 (any size), large Modic changes (any type), large Modic changes Type 1, severe disc degeneration and large disc herniation. The outcome measure was change in low back pain intensity measured on a 0-10 point numerical rating scale at 14-month follow-up (n = 96). An interaction = 1.0 point (0-10 scale) between treatment group and MRI findings in linear regression was considered clinically important. Results: The interactions for Modic Type 1, with large Modic changes or with large Modic changes Type 1 were all potentially important in size (-0.99 (95% CI -3.28 to 1.29), -1.49 (-3.73 to 0.75), -1.49 (-3.57 to 0.58), respectively) but the direction of the effect was the opposite to what we had hypothesized-that people with these findings would benefit more from rest than from exercise. The interactions for severe disc degeneration (0.74 (-1.40 to 2.88)) and large disc herniation (-0.92 (3.15 to 1.31)) were less than the 1.0-point threshold for clinical importance. As expected, because of the lack of statistical power, no interaction term for any of the MRI findings was statistically significant. Conclusions: Three of the five MRI predictors showed potentially important effect modification, although the direction of the effect was surprising and confidence intervals were wide so very cautious interpretation is required. Further studies with adequate power are warranted to study these and additional MRI findings as potential effect modifiers for common interventions

Assessing and reporting heterogeneity in treatment effects in clinical trials: a proposal

Mounting evidence suggests that there is frequently considerable variation in the risk of the outcome of interest in clinical trial populations. These differences in risk will often cause clinically important heterogeneity in treatment effects (HTE) across the trial population, such that the balance between treatment risks and benefits may differ substantially between large identifiable patient subgroups; the "average" benefit observed in the summary result may even be non-representative of the treatment effect for a typical patient in the trial. Conventional subgroup analyses, which examine whether specific patient characteristics modify the effects of treatment, are usually unable to detect even large variations in treatment benefit (and harm) across risk groups because they do not account for the fact that patients have multiple characteristics simultaneously that affect the likelihood of treatment benefit. Based upon recent evidence on optimal statistical approaches to assessing HTE, we propose a framework that prioritizes the analysis and reporting of multivariate risk-based HTE and suggests that other subgroup analyses should be explicitly labeled either as primary subgroup analyses (well-motivated by prior evidence and intended to produce clinically actionable results) or secondary (exploratory) subgroup analyses (performed to inform future research). A standardized and transparent approach to HTE assessment and reporting could substantially improve clinical trial utility and interpretability

Research methods for subgrouping low back pain

<p>Abstract</p> <p>Background</p> <p>There is considerable clinician and researcher interest in whether the outcomes for patients with low back pain, and the efficiency of the health systems that treat them, can be improved by 'subgrouping research'. Subgrouping research seeks to identify subgroups of people who have clinically important distinctions in their treatment needs or prognoses. Due to a proliferation of research methods and variability in how subgrouping results are interpreted, it is timely to open discussion regarding a conceptual framework for the research designs and statistical methods available for subgrouping studies (a method framework). The aims of this debate article are: (1) to present a method framework to inform the design and evaluation of subgrouping research in low back pain, (2) to describe method options when investigating prognostic effects or subgroup treatment effects, and (3) to discuss the strengths and limitations of research methods suitable for the hypothesis-setting phase of subgroup studies.</p> <p>Discussion</p> <p>The proposed method framework proposes six phases for studies of subgroups: studies of assessment methods, hypothesis-setting studies, hypothesis-testing studies, narrow validation studies, broad validation studies, and impact analysis studies. This framework extends and relabels a classification system previously proposed by McGinn et al (2000) as suitable for studies of clinical prediction rules. This extended classification, and its descriptive terms, explicitly anchor research findings to the type of evidence each provides. The inclusive nature of the framework invites appropriate consideration of the results of diverse research designs. Method pathways are described for studies designed to test and quantify prognostic effects or subgroup treatment effects, and examples are discussed. The proposed method framework is presented as a roadmap for conversation amongst researchers and clinicians who plan, stage and perform subgrouping research.</p> <p>Summary</p> <p>This article proposes a research method framework for studies of subgroups in low back pain. Research designs and statistical methods appropriate for sequential phases in this research are discussed, with an emphasis on those suitable for hypothesis-setting studies of subgroups of people seeking care.</p