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The development of HR analytics, the growing dominance of positivistic approaches in academic HRM, and the increasing influence of evidence-based approaches on HR represent a convergence of contextual factors that have the potential to influence HR practice significantly. In this context, we examine how the HR analytics 'project' may unfold based on a reflective analysis of a number of data-rich wellbeing projects and empirical evaluations. We focus on the ways in which participants may become enrolled and mobilised in such projects, and the implications this has for perceived value and effects of 'data' generated by HR analytics. In particular, we draw attention to the social, political and onto-epistemological processes of the analytics project, and draw conclusions about the way in which the analytics project may influence professional practice.

This article introduces readers to the special issue on 'the enactment of neoliberalism in the workplace'. We argue that contemporary developments such as zero-hours contracts, casualization and platform work are part of a neoliberal regime of deregulation and flexibilization that renders employment precarious and work degraded. Thus, the degradation of work that Braverman wrote of should be extended to include aspects of the employment relationship, acknowledging the crucial relationship between the mode of employment and the experience of work. In short, we assert that the quality of work is intimately connected to the quality of employment. The neoliberal agenda is played out in and around organizations through management decisions on employment and work, which, in turn, have significant and complex connections to a range of wider social, economic and political issues, such as poverty and welfare systems. The articles in our special issue explore and analyse several dimensions of the changes taking place and whilst presenting a rather gloomy view of contemporary work and employment they do demonstrate continued scope for resistance.

The Decision Support System (DSS) is one of the key objectives of the European co-funded research project SafetyCube in order to better support evidence-based policy making. Results will be assembled in the form of a DSS that will present for each suggested road safety measure: details of risk factor tackled, measure, best estimate of casualty reduction effectiveness, cost-benefit evaluation and analytic background. The development of the DSS presents a great potential to further support decision making at local, regional, national and international level, aiming to fill in the current gap of comparable measures effectiveness evaluation. In order to provide policy-makers and industry with comprehensive and well-structured information about measures, it is essential that a systems approach is used to ensure the links between risk factors and all relevant safety measures are made fully visible. The DSS is intended to become a major source of information for industry, policy-makers and the wider road safety community.

When considering how safety systems fulfil drivers' needs, leading to an evaluation of overall benefit, it is important to understand the overall functionality of the system, take into account as many design parameters as possible and consider previous evaluation work. The objective of this research is to provide an inventory of in-vehicle technological systems that are present on current production models, using a standard template. A catalogue listing details such as the aim of the system, the functions covered by the system, phase of the accident upon which the system is acting, the level of intervention, technical specifications and previous evaluations is developed for 31 active, passive and integrated safety systems and the example of the Adaptive Cruise Control system is presented in this paper. Moreover, a review of existing identification procedures related to safety systems is carried out, aiming to underline the available information sources that could be used to gather data on safety equipment using a common format, review the variable level of quality and the feasibility and length of time that it would take to collect the data. Results revealed that although there are many different implementations of safety systems with different performance parameters, the development of a safety systems inventory can become a useful tool for analysts to establish a feel for a generic system, project the functionality of such a system onto available accident data and importantly to evaluate if the system really meets drivers' needs. The use of an assembled standard template can further act as a central register, in which analysts can quickly acquire detailed information on the system along with web links to vehicle manufacturer, governmental, safety and research organization websites. Furthermore, two main safety systems data collection methods were identified through the review of different data sources, either using the make/model/ variant approach or the VIN number method, demonstrating the feasibility of ...

This conference paper is freely available online at: https://hal.archives-ouvertes.fr/hal-00956234 ; When considering how safety systems fulfil drivers' needs, leading to an evaluation of overall benefit, it is important to understand the overall functionality of the system, take into account as many design parameters as possible and consider previous evaluation work. The objective of this research is to provide an inventory of in-vehicle technological systems that are present on current production models, using a standard template. A catalogue listing details such as the aim of the system, the functions covered by the system, phase of the accident upon which the system is acting, the level of intervention, technical specifications and previous evaluations is developed for 31 active, passive and integrated safety systems and the example of the Adaptive Cruise Control system is presented in this paper. Moreover, a review of existing identification procedures related to safety systems is carried out, aiming to underline the available information sources that could be used to gather data on safety equipment using a common format, review the variable level of quality and the feasibility and length of time that it would take to collect the data. Results revealed that although there are many different implementations of safety systems with different performance parameters, the development of a safety systems inventory can become a useful tool for analysts to establish a feel for a generic system, project the functionality of such a system onto available accident data and importantly to evaluate if the system really meets drivers' needs. The use of an assembled standard template can further act as a central register, in which analysts can quickly acquire detailed information on the system along with web links to vehicle manufacturer, governmental, safety and research organization websites. Furthermore, two main safety systems data collection methods were identified through the review of different data sources, either using the make/model/ variant approach or the VIN number method, demonstrating the feasibility of recording all active, passive and integrated safety systems implemented within a vehicle to a European wide database. This work has been undertaken in the EC funded DaCoTA project.

Comunicació presentada a: IRCOBI Conference 2014, celebrada a Berlín, Alemanya, del 10 al 12 de setembre de 2014 ; National accident statistics in European countries as well as in many other countries are based on data recorded by the police. Generally, such data also include police reported estimates of the injury severity of accident victims. While the number of traffic fatalities is usually very reliable, information on the number of surviving casualties and the severity of their injuries is of a lesser quality. Latest policy approaches such as the EU Vision 2020, however, shift the focus from fatalities to the seriously injured. To formulate reasonable targets for reducing the number of persons seriously injured in traffic accidents, detailed information on the injury severity is needed for assessing the status quo as well as for monitoring the progress. Recent approaches to improve the data basis therefore call for a classification of injury severity using the Abbreviated Injury Scale (AIS). Serious injuries in terms of MAIS3+ are of particular concern. While there is currently no general agreement on how such data should be derived, different recommendations are available (see e.g. [1]). In this study an approach to combine Swiss national accident data and hospital data was explored [2]. AIS codes were derived based on available ICD data. Similar approaches were already performed in the past (e.g. [3‐ 5]), but are not available for standard use. This study thus highlights the need for international harmonisation of methods by which AIS data should be established if comparable data is to be obtained.