389 research outputs found

    Information Systems and the Problem of Work: Protocol for a Systematic Review

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    There is a sense in America that there is a growing crisis regarding the availability or quality of rewarding, satisfying work. A variety of competing framings of and reasons for this are offered, including some claims that information technologies and systems are to blame for the decline in work satisfaction. A number of streams of research in diverse disciplines have sought to understand what constitutes good , or meaningful , or decent work, how we can achieve it, and what happens when it is lacking, yet we know little about what contributions the information systems discipline has made, or could make, to solving this challenge of our times. In this paper we chart the conceptual landscape of the problem of work as it is framed by reference disciplines, and develop a protocol for a systematic literature review of contributions from IS research to creating good work or making work better

    Testing Assumptions in Deliberative Democratic Design: A Preliminary Assessment of the Efficacy of the Participedia Data Archive as an Analytic Tool

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    At smaller social scales, deliberative democratic theory can be restated as an input-process-output model. We advance such a model to formulate hypotheses about how the context and design of a civic engagement process shape the deliberation that takes place therein, as well as the impact of the deliberation on participants and subsequent policymaking. To test those claims, we extract and code case studies from Participedia.net, a research platform that has adopted a self-directed crowd-sourcing strategy to collect data on participatory institutions and deliberative interventions around the world. We explain and confront the challenges faced in coding and analyzing the Participedia cases, which involves managing reliability issues and missing data. In spite of those difficulties, regression analysis of the coded cases shows compelling results, which provide considerable support for our general theoretical model. We conclude with reflections on the implications of our findings for deliberative theory, the design of democratic innovations, and the utility of Participedia as a data archive

    A powerful intervention: general practitioners' use of sickness certification in depression

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    <b>Background</b> Depression is frequently cited as the reason for sickness absence, and it is estimated that sickness certificates are issued in one third of consultations for depression. Previous research has considered GP views of sickness certification but not specifically in relation to depression. This study aimed to explore GPs views of sickness certification in relation to depression.<p></p> <b>Methods</b> A purposive sample of GP practices across Scotland was selected to reflect variations in levels of incapacity claimants and antidepressant prescribing. Qualitative interviews were carried out between 2008 and 2009.<p></p> <b>Results</b> A total of 30 GPs were interviewed. A number of common themes emerged including the perceived importance of GP advocacy on behalf of their patients, the tensions between stakeholders involved in the sickness certification system, the need to respond flexibly to patients who present with depression and the therapeutic nature of time away from work as well as the benefits of work. GPs reported that most patients with depression returned to work after a short period of absence and that it was often difficult to predict which patients would struggle to return to work.<p></p> <b>Conclusions</b> GPs reported that dealing with sickness certification and depression presents distinct challenges. Sickness certificates are often viewed as powerful interventions, the effectiveness of time away from work for those with depression should be subject to robust enquiry

    Bim as an enabler for digital transformation

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    Organisations all over the world are increasingly becoming digitally enabled, including infrastructure providers and are looking to use this new found a digital way of working to transform the organisation into a more lean, efficient and productive organisation. Digital transformation is not exclusively about digital technology but the fact that technology, which is digital, will enable the organisation to create greater informed decisions around there current and future challenges, objectives and strategy. While many organisations are currently going through a digital transformation process, there are challenges in demonstrating the value of such a transformation process to the broader organisation. This is partly due to the fact that for digital transformation to be successful it must encompass all of the organisation, including traditional business processes and functions that are not prone to change. Furthermore, it can be witnessed that digital transformation is not purely a technical solution but is also an organisational cultural change, one that allows for an agile approach to working and one that acknowledges failure in a positive perspective. A framework is proposed in this paper that utilises the BIM information management processes and adopts them into a digital transformation process. The framework aims to not look at BIM within individual lifecycle stages, but the full adoption of BIM between all the lifecycles stages. Furthermore, it will support the full organisational adoption of BIM within all organisational functions such as risk management, customer reengagement, fiscal management, resource management, ETC. finally, the framework will enable the culture to change requirements by providing a collaborative and transparent environment to digital transformation

    Photocurrent measurements of supercollision cooling in graphene

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    The cooling of hot electrons in graphene is the critical process underlying the operation of exciting new graphene-based optoelectronic and plasmonic devices, but the nature of this cooling is controversial. We extract the hot electron cooling rate near the Fermi level by using graphene as novel photothermal thermometer that measures the electron temperature (T(t)T(t)) as it cools dynamically. We find the photocurrent generated from graphene p−np-n junctions is well described by the energy dissipation rate CdT/dt=−A(T3−Tl3)C dT/dt=-A(T^3-T_l^3), where the heat capacity is C=αTC=\alpha T and TlT_l is the base lattice temperature. These results are in disagreement with predictions of electron-phonon emission in a disorder-free graphene system, but in excellent quantitative agreement with recent predictions of a disorder-enhanced supercollision (SC) cooling mechanism. We find that the SC model provides a complete and unified picture of energy loss near the Fermi level over the wide range of electronic (15 to ∌\sim3000 K) and lattice (10 to 295 K) temperatures investigated.Comment: 7pages, 5 figure

    Inference on inspiral signals using LISA MLDC data

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    In this paper we describe a Bayesian inference framework for analysis of data obtained by LISA. We set up a model for binary inspiral signals as defined for the Mock LISA Data Challenge 1.2 (MLDC), and implemented a Markov chain Monte Carlo (MCMC) algorithm to facilitate exploration and integration of the posterior distribution over the 9-dimensional parameter space. Here we present intermediate results showing how, using this method, information about the 9 parameters can be extracted from the data.Comment: Accepted for publication in Classical and Quantum Gravity, GWDAW-11 special issu
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