A Triptych Inquiry: Rethinking Sustainability, Innovation, and Financial Performance

Management scholars have sought to answer the question: is there a financial payoff for ad-dressing ecological and social issues? We move beyond this question and include a time com-ponent for corporate financial performance (CFP) and a firm’s innovativeness in order to ask: when does it pay? Combining a contingency perspective with the resource-based view of the firm clarifies the positive relationship between corporate environmental and social perform-ance (ESP) and CFP, which only holds in the long-term but not in the short-term. Further, we find support for a moderating effect of innovation on the relationship between the ESP and short-term CFP as suggested by the literature. However, we empirically show that in the long-term, innovation mediates the ESP-CFP relationship suggesting that innovation should be considered as a long-term investment required to unlock the full potential of ESP initiatives

Enterprise modeling using the foundation concepts of the RM-ODP ISO/ITU standard

Enterprise architecture (EA) projects require analyzing and designing across the whole enterprise and its environment. Enterprise architects, therefore, frequently develop enterprise models that span from the markets in which the organization operates down to the implementation of the IT systems that support its operations. In this paper, we present SEAM for EA: a method for defining an enterprise model in which all the systems are systematically represented with the same modeling ontology. We base our modeling ontology on the foundation modeling concepts defined in Part 2 of ISO/ITU Standard "Reference Model of Open Distributed Processing” (RM-ODP). This work has two contributions to enterprise architecture: the SEAM for EA method itself and the use of Part 2 of the RM-ODP standard as a modeling ontolog

Lines of School-University Partnership: Perception, Sensation and Meshwork Reshaping Of Pre-Service Teachers’ Experiences

School-university partnerships are complex, entangled and layered. As renewal of initial teacher education is at the forefront, understanding how we approach partnerships is imperative. This paper draws on reflective narratives of a school leader and initial teacher education staff involved in setting up a school-university partnership program. We identify the use of ‘meshworks’, that is complex and layered weaving of ideas or lines (Ingold, 2011; 2015; 2017) – specifically the lines of ‘partnership’, ‘partnership understanding’, ‘involvement’, ‘supporting pre-service teachers’, ‘noticing of pre-service teachers’, and ‘impact’. The analysis of the findings illuminate benefits from co-design and vision, while demonstrating how a call to action from Australian Institute for Teaching and School Leadership (AITSL) can illuminate how working closely together can support the development of pre-service teachers. We conclude by suggesting that future teacher quality is dependent upon the strength of the intersections of these school-university partnerships

How Context Affects Choice

Due to its origins in the literature on judgment and decision-making, context effects in marketing are construed exclusively in terms of how choices deviate from utility maximization principles as a function of how choices are presented (e.g., framing, sequence, composition). This limits our understanding of a range of other relevant context effects on choice. This paper broadens the scope of context effects to include social (e.g., with friends or family) and situational factors (e.g., location (home/store), time, weather).We define contexts as any factor that has the potential to shift the choice outcomes by altering the process by which the decision is made. We use this lens to integrate the psychology literature on habitual choice, System I and II decision-making, and a recent stream of empirical work that involves social and situational effects into the scope of context effects. We distinguish between exogenous and endogenous context effects, based on whether the decision-maker chooses the context. We then discuss issues of empirically identifying context effects when using either experimentally generated data or naturally occurring secondary data. We conclude with a discussion of trends and opportunities for new research on context effects

Developing an open data portal for the ESA climate change initiative

We introduce the rationale for, and architecture of, the European Space Agency Climate Change Initiative (CCI) Open Data Portal (http://cci.esa.int/data/). The Open Data Portal hosts a set of richly diverse datasets – 13 “Essential Climate Variables” – from the CCI programme in a consistent and harmonised form and to provides a single point of access for the (>100 TB) data for broad dissemination to an international user community. These data have been produced by a range of different institutions and vary across both scientific and spatio-temporal characteristics. This heterogeneity of the data together with the range of services to be supported presented significant technical challenges. An iterative development methodology was key to tackling these challenges: the system developed exploits a workflow which takes data that conforms to the CCI data specification, ingests it into a managed archive and uses both manual and automatically generated metadata to support data discovery, browse, and delivery services. It utilises both Earth System Grid Federation (ESGF) data nodes and the Open Geospatial Consortium Catalogue Service for the Web (OGC-CSW) interface, serving data into both the ESGF and the Global Earth Observation System of Systems (GEOSS). A key part of the system is a new vocabulary server, populated with CCI specific terms and relationships which integrates OGC-CSW and ESGF search services together, developed as part of a dialogue between domain scientists and linked data specialists. These services have enabled the development of a unified user interface for graphical search and visualisation – the CCI Open Data Portal Web Presence

Susceptibility Provision Enhances Effective De-escalation (SPEED): utilizing rapid phenotypic susceptibility testing in Gram-negative bloodstream infections and its potential clinical impact

Abstract Objectives We evaluated the performance and time to result for pathogen identification (ID) and antimicrobial susceptibility testing (AST) of the Accelerate Pheno™ system (AXDX) compared with standard of care (SOC) methods. We also assessed the hypothetical improvement in antibiotic utilization if AXDX had been implemented. Methods Clinical samples from patients with monomicrobial Gram-negative bacteraemia were tested and compared between AXDX and the SOC methods of the VERIGENE® and Bruker MALDI Biotyper® systems for ID and the VITEK® 2 system for AST. Additionally, charts were reviewed to calculate theoretical times to antibiotic de-escalation, escalation and active and optimal therapy Results ID mean time was 21 h for MALDI-TOF MS, 4.4 h for VERIGENE® and 3.7 h for AXDX. AST mean time was 35 h for VITEK® 2 and 9.0 h for AXDX. For ID, positive percentage agreement was 95.9% and negative percentage agreement was 99.9%. For AST, essential agreement was 94.5% and categorical agreement was 93.5%. If AXDX results had been available to inform patient care, 25% of patients could have been put on active therapy sooner, while 78% of patients who had therapy optimized during hospitalization could have had therapy optimized sooner. Additionally, AXDX could have reduced time to de-escalation (16 versus 31 h) and escalation (19 versus 31 h) compared with SOC. Conclusions By providing fast and reliable ID and AST results, AXDX has the potential to improve antimicrobial utilization and enhance antimicrobial stewardship

High turnover drives prolonged persistence of influenza in managed pig herds.

Pigs have long been hypothesized to play a central role in the emergence of novel human influenza A virus (IAV) strains, by serving as mixing vessels for mammalian and avian variants. However, the key issue of viral persistence in swine populations at different scales is ill understood. We address this gap using epidemiological models calibrated against seroprevalence data from Dutch finishing pigs to estimate the 'critical herd size' (CHS) for IAV persistence. We then examine the viral phylogenetic evidence for persistence by comparing human and swine IAV. Models suggest a CHS of approximately 3000 pigs above which influenza was likely to persist, i.e. orders of magnitude lower than persistence thresholds for IAV and other acute viruses in humans. At national and regional scales, we found much stronger empirical signatures of prolonged persistence of IAV in swine compared with human populations. These striking levels of persistence in small populations are driven by the high recruitment rate of susceptible piglets, and have significant implications for management of swine and for overall patterns of genetic diversity of IAV.This work was supported by the RAPIDD program of the Science and Technology Directorate, Department of Homeland Security, and the Fogarty International Center, National Institutes of Health (V.E.P., S.R., J.L.N.W. and B.T.G.) and the Bill & Melinda Gates Foundation (V.E.P. and B.T.G.). J.L.N.W. is also supported by the Alborada Trust, the European Union FP7 project ANTIGONE (contract no. 278976) and by Biotechnology and Biological Sciences Research Council sLOLA BB/L001330/1.This is the final version of the article. It first appeared from Royal Society Publishing via http://dx.doi.org/10.1098/rsif.2016.013