Responsibility and Well-Being: Resource Integration Under Responsibilization in Expert Services

Responsibilization, or the shift of functions and risks from providers and producers to consumers, has become an increasingly common policy in service systems and marketplaces (e.g., financial, health, governmental). As responsibilization is often considered synonymous with consumer agency and well-being, the authors take a transformative service research perspective and draw on resource integration literature to investigate whether responsibilization is truly associated with well-being. The authors focus on expert services, for which responsibilization concerns are particularly salient, and question whether this expanding policy is in the public interest. In the process, they develop a conceptualization of resource integration under responsibilization that includes three levels of actors (consumer, provider, and service system), the identification of structural tensions to resource integration, and three categories of resource integration practices (access, appropriation, and management) necessary to negotiate responsibilization. The findings have important implications for health care providers, public and institutional policy makers, and other service systems, all of which must pay more active attention to the challenges consumers face in negotiating responsibilization and the resulting well-being outcomes.

Responsibility and Well-being: Resource Integration under Responsibilization in Expert Services

Responsibilization, or the shift in functions and risks from providers and producers to the consumer, has become an increasingly common policy in service systems and marketplaces (e.g., financial, health, governmental). Responsibilization is often presented as synonymous with consumer agency and well-being. We take a transformative service research perspective and utilize the resource integration framework to investigate whether responsibilization is truly associated with well-being. We focus on expert services, where responsibilization concerns are particularly salient, and question whether this expanding policy is in the public interest. In the process, we develop a conceptualization of resource integration under responsibilization that includes three levels of actors (consumer, provider and service system), the identification of structural tensions to resource integration and three categories of resource integration practices (access, appropriation and management) necessary to negotiate responsibilization. Our findings have important implications for health care providers, public policy makers, and other service systems, all of which must pay more active attention to the challenges consumers face in negotiating responsibilization and the resulting well-being outcomes.

Is Our Students Learning - QuestionMark: Extending E-Assessment Systems for Adapative Marking and Feedback

Our key contribution is a flexible, automated marking system that adds desirable functionality to existing E-Assessment systems. In our approach, any given E-Assessment system is relegated to a data-collection mechanism, whereas marking and the generation and distribution of personalised per-student feedback is handled separately by our own system. This allows content-rich Microsoft Word feedback documents to be generated and distributed to every student simultaneously according to a per-assessment schedule.

The feedback is adaptive in that it corresponds to the answers given by the student and provides guidance on where they may have gone wrong. It is not limited to simple multiple choice which are the most prescriptive question type offered by most E-Assessment Systems and as such most straightforward to mark consistently and provide individual per-alternative feedback strings. It is also better equipped to handle the use of mathematical symbols and images within the feedback documents which is more flexible than existing E-Assessment systems, which can only handle simple text strings.

As well as MCQs the system reliably and robustly handles Multiple Response, Text Matching and Numeric style questions in a more flexible manner than Questionmark: Perception and other E-Assessment Systems. It can also reliably handle multi-part questions where the response to an earlier question influences the answer to a later one and can adjust both scoring and feedback appropriately.

New question formats can be added at any time provided a corresponding marking method conforming to certain templates can also be programmed. Indeed, any question type for which a programmatic method of marking can be devised may be supported by our system. Furthermore, since the student’s response to each is question is marked programmatically, our system can be set to allow for minor deviations from the correct answer, and if appropriate award partial marks.

A framework for experimental determination of localised vertical pedestrian forces on full-scale structures using wireless attitude and heading reference systems

A major weakness among loading models for pedestrians walking on flexible structures proposed in recent years is the various uncorroborated assumptions made in their development. This applies to spatio-temporal characteristics of pedestrian loading and the nature of multi-object interactions. To alleviate this problem, a framework for the determination of localised pedestrian forces on full-scale structures is presented using a wireless attitude and heading reference systems (AHRS). An AHRS comprises a triad of tri-axial accelerometers, gyroscopes and magnetometers managed by a dedicated data processing unit, allowing motion in three-dimensional space to be reconstructed. A pedestrian loading model based on a single point inertial measurement from an AHRS is derived and shown to perform well against benchmark data collected on an instrumented treadmill. Unlike other models, the current model does not take any predefined form nor does it require any extrapolations as to the timing and amplitude of pedestrian loading. In order to assess correctly the influence of the moving pedestrian on behaviour of a structure, an algorithm for tracking the point of application of pedestrian force is developed based on data from a single AHRS attached to a foot. A set of controlled walking tests with a single pedestrian is conducted on a real footbridge for validation purposes. A remarkably good match between the measured and simulated bridge response is found, indeed confirming applicability of the proposed framework.

Energy efficiency optimization in hardware-constrained large-scale MIMO systems

Large-scale multiple-input multiple-output (MIMO) communication systems can bring substantial improvement in spectral efficiency and/or energy efficiency, due to the excessive degrees-of-freedom and huge array gain. However, large-scale MIMO is expected to deploy lower-cost radio frequency (RF) components, which are particularly prone to hardware impairments. Unfortunately, compensation schemes are not able to remove the impact of hardware impairments completely, such that a certain amount of residual impairments always exists. In this paper, we investigate the impact of residual transmit RF impairments (RTRI) on the spectral and energy efficiency of training-based point-to-point large-scale MIMO systems, and seek to determine the optimal training length and number of antennas which maximize the energy efficiency. We derive deterministic equivalents of the signal-to-noise-and-interference ratio (SINR) with zero-forcing (ZF) receivers, as well as the corresponding spectral and energy efficiency, which are shown to be accurate even for small number of antennas. Through an iterative sequential optimization, we find that the optimal training length of systems with RTRI can be smaller compared to ideal hardware systems in the moderate SNR regime, while larger in the high SNR regime. Moreover, it is observed that RTRI can significantly decrease the optimal number of transmit and receive antennas.