Individual trust and the internet

The emergence of Web 2.0 technologies and associated services heralded a second generation of the Internet emphasising collaboration and sharing amongst users. This resulted in a seismic shift in the relationship between individual consumers and firms but also between individual consumers and the Internet as a system. Consumers, not firms, became an emerging locus of value production and through the ability to publish and connect with known and unknown others, an emerging locus of power (Berthon, Pitt, Plangger, & Shapiro, 2012). Powered by broadband telecommunications and device connectivity, the intensity of these changes was further deepened by being freed from the desktop to the mobile web. We are more connected now than ever before. The high levels of societal interconnectedness encouraged by the internet have made trust an even more vital ingredient in today’s society (Hardin, 2006). The more recent development of Web 3.0 technology emphasises ubiquitous connectivity and a machine-facilitated understanding of information that may once more change the locus of activity, value production and control. In order to keep pace with the issues of contemporary society, trust researchers must consider the how trust relationships and perceptions operate and are influenced by the online environment. This chapter will discuss how traditional trust concepts translate to the online context and will examine empirical literature on online trust at three different levels. Interpersonal trust between individuals using the internet as a medium for communication is particularly relevant in a world where personal and professional relationships are increasingly mediated by technology. We will also discuss the role of the internet in relationships between individuals and organisations with particular attention to the provision of e-services. Finally, we discuss trust in the system of the internet itself as a distributed connected infrastructure made up of indirect system service providers which are often nameless or in the background. Our focus in the chapter is on individual trust in other individuals, organisations and the system of the internet itself. Trust from the perspective of the organisation may also be of interest to trust scholars. This includes issues relating to organisational trust in individuals, inter-organisational trust, and organisational trust in the system of the Internet itself however these topics are outside of the scope of this chapter (see Perks & Halliday, 2003; Ratnasingam, 2005)

Forms of trust reciprocity and change in established relationships: a dyadic and longitudinal study

Trust is generally recognised as a reciprocal process between two parties leading to mutually beneficial outcomes and is critical to the success of organisations. However, theoretical detail on trust reciprocity is sparse and the examination of both parties in a trust relationship is uncommon in empirical studies. Ignoring this relational context can lead to an incomplete understanding of the nature of interpersonal trust, including the reciprocal patterns of influence, trust change over time, and the impact of trust incongruence within a dyad. Drawing on social exchange theory and interdependence theory, this study carries out a longitudinal examination of 230 dyadic workplace relationships involving five waves of data. Structural equation modelling examines three key areas. First, the actor-partner interdependence model provides evidence for reciprocal influences between the two parties. These results highlight that the more relational aspects of trustworthiness (benevolence) reciprocally influence the more affective forms of trust (disclosure), and that the more cognitive forms of trust (reliance) reciprocally influence interpersonal helping. Second, latent growth modelling shows that trust (reliance) is relatively stable whereas trust (disclosure) shows more change over time. Third, moderation analysis demonstrates that the impact of dyadic trust incongruence is detrimental to dyadic helping behaviours only when reliance forms of trust are unbalanced. The results confirm that trust is fundamentally a reciprocal and dynamic phenomenon and highlight different patterns of influence for reliance and disclosure forms of trust within work relationships

Individual trust and the internet

The emergence of Web 2.0 technologies and associated services heralded a second generation of the Internet emphasising collaboration and sharing amongst users. This resulted in a seismic shift in the relationship between individual consumers and firms but also between individual consumers and the Internet as a system. Consumers, not firms, became an emerging locus of value production and through the ability to publish and connect with known and unknown others, an emerging locus of power (Berthon, Pitt, Plangger, & Shapiro, 2012). Powered by broadband telecommunications and device connectivity, the intensity of these changes was further deepened by being freed from the desktop to the mobile web. We are more connected now than ever before. The high levels of societal interconnectedness encouraged by the internet have made trust an even more vital ingredient in today’s society (Hardin, 2006). The more recent development of Web 3.0 technology emphasises ubiquitous connectivity and a machine-facilitated understanding of information that may once more change the locus of activity, value production and control. In order to keep pace with the issues of contemporary society, trust researchers must consider the how trust relationships and perceptions operate and are influenced by the online environment. This chapter will discuss how traditional trust concepts translate to the online context and will examine empirical literature on online trust at three different levels. Interpersonal trust between individuals using the internet as a medium for communication is particularly relevant in a world where personal and professional relationships are increasingly mediated by technology. We will also discuss the role of the internet in relationships between individuals and organisations with particular attention to the provision of e-services. Finally, we discuss trust in the system of the internet itself as a distributed connected infrastructure made up of indirect system service providers which are often nameless or in the background. Our focus in the chapter is on individual trust in other individuals, organisations and the system of the internet itself. Trust from the perspective of the organisation may also be of interest to trust scholars. This includes issues relating to organisational trust in individuals, inter-organisational trust, and organisational trust in the system of the Internet itself however these topics are outside of the scope of this chapter (see Perks & Halliday, 2003; Ratnasingam, 2005)

Atlas of ozone chemical regimes in Europe

International audienceWhile concentrations of most air pollutants have been decreasing in Europe over the last 20 years, O3 is showing variable trends, with increasing average and decreasing peak concentrations. The complexity of O3 chemistry adds to the difficulty of understanding both the trends observed and how concentrations can be mitigated. This paper tries to answer the following questions: which emission sectors should be targeted and what levels of reduction could be achieved? To address these reflections, an Atlas of O3 chemical regimes has been constructed. For this Atlas, 22 European cities were selected and the surrogate model Air Control Toolbox (ACT) was used to evaluate the simulated changes in several ozone metrics as a result of reductions in road transport and industrial emissions. O3 chemical regimes have been classified and put in perspective with meteorological and emission data at each city location and around. The O3 sensitivity to road transport and industrial emissions differ from one city to another, but also for the same city when considering different ozone metrics and seasons (e.g., annual means versus SOMO35 or summer peaks). Counterproductive impacts yielding O3 increase when emissions are reduced are mainly encountered in regions or periods where O3 concentration are relatively low. In terms of meteorological factors, O3 chemical regimes are mostly impacted by the amount of solar radiation received but wind speed also has a considerable impact. Most cases show a higher sensitivity to emission reductions from road transport or equal sensitivity to emission reductions from road transport and industry. Very few cases are more sensitive to emissions from the industrial sector. However, the response of annual or seasonal average O3 metrics to industrial and road transport emissions can be considered relatively low with a maximum reduction of 33% for a 100% reduction of both industrial and road transport emissions. This is because anthropogenic emission can only mitigate ozone above a substantial natural tropospheric background. It is precisely this incremental anthropogenic ozone, which should be targeted by efficient policies as we also demonstrate that none of the cities studied would exceed the European target value with a 100% reduction in emissions

Impact des nouvelles lignes directrices oms pour la qualité de l’air

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Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

A new aerosol module was developed and integrated in the air quality model CHIMERE. Developments include the use of the Model of Emissions and Gases and Aerosols from Nature (MEGAN) 2.1 for biogenic emissions, the implementation of the inorganic thermodynamic model ISORROPIA 2.1, revision of wet deposition processes and of the algorithms of condensation/evaporation and coagulation and the implementation of the secondary organic aerosol (SOA) mechanism H2O and the thermodynamic model SOAP. Concentrations of particles over Europe were simulated by the model for the year 2013. Model concentrations were compared to the European Monitoring and Evaluation Programme (EMEP) observations and other observations available in the EBAS database to evaluate the performance of the model. Performances were determined for several components of particles (sea salt, sulfate, ammonium, nitrate, organic aerosol) with a seasonal and regional analysis of results. The model gives satisfactory performance in general. For sea salt, the model succeeds in reproducing the seasonal evolution of concentrations for western and central Europe. For sulfate, except for an overestimation of sulfate in northern Europe, modeled concentrations are close to observations and the model succeeds in reproducing the seasonal evolution of concentrations. For organic aerosol, the model reproduces with satisfactory results concentrations for stations with strong modeled biogenic SOA concentrations. However, the model strongly overestimates ammonium nitrate concentrations during late autumn (possibly due to problems in the temporal evolution of emissions) and strongly underestimates summer organic aerosol concentrations over most of the stations (especially in the northern half of Europe). This underestimation could be due to a lack of anthropogenic SOA or biogenic emissions in northern Europe. A list of recommended tests and developments to improve the model is also given

Historical reconstruction of background air pollution over France for 2000–2015

International audienceThis paper describes a 16-year dataset of air pollution concentrations and air quality indicators over France. Using a kriging method that combines background air quality measurements and modeling with the CHIMERE chemistry transport model, hourly concentrations of NO2, O3, PM10 and PM2.5 are produced with a spatial resolution of about 4 km. Regulatory indicators (annual average, SOMO35 (sum of ozone means over 35 ppb), AOT40 (accumulated ozone exposure over a threshold of 40 ppb), etc.) are also calculated from these hourly data. The NO2 and O3 datasets cover the period 2000–2015, as well as the annual PM10 data. Hourly PM10 concentrations are not available from 2000 to 2007 due to known artifacts in PM10 measurements. PM2.5 data are only available from 2009 onwards due to the limited number of measuring stations available before this date. The overall dataset was evaluated over all years by a cross-validation process against background stations (rural, sub-urban and urban) to take into account the data fusion between measurement and models in the method. The results are very good for PM10, PM2.5 and O3. They show an overestimation of NO2 concentrations in rural areas, while NO2 background values in urban areas are well represented. Maps of the main indicators are presented over several years, and trends are calculated. Finally, exposure and trends are calculated for the three main health-related indicators: annual averages of PM2.5, NO2 and SOMO35. The DOI link for the dataset is https://doi.org/10.5281/zenodo.5043645 (Real et al., 2021). We hope that the publication of this open dataset will facilitate further studies on the impacts of air pollution

The neuroscience of trust violation: Differential activation of the default mode network in ability, benevolence and integrity breaches

Trust is widely regarded as being foundational in workplace relationships. The violation of interpersonal trust results in a range of negative affective, cognitive and behavioural consequences for the injured party. However, research has yet to isolate the specific neural areas and processes activated when different types of interpersonal trust are breached. Using electroencephalogram with 68 participants, we identified the effects of three distinct types of trust violations—ability violation, integrity violation and benevolence violations—on electrical brain activity. Our findings indicate that trust violations are processed in social cognitive-related brain areas. Specifically, our results identify the significance of the default mode network (DMN), relevant to the processing of social information, in trust violation and further isolated distinct activity for ability, integrity and benevolence trust violation, with integrity violations demonstrating the greatest reaction in the DMN. Benevolence violations generated the next greatest reaction but were not significantly different from the ability violations. This potential distinction may be worth further investigation in future research. Our findings highlight the potential importance of the DMN in processing cues regarding the trustworthiness of others and the distinctiveness of the processing of violation cues of the three facets of trustworthiness. </p

Long-range transport and tropospheric ozone variability in the western Mediterranean region during the Intercontinental Transport of Ozone and Precursors (ITOP-2004) campaign

Two ground-based ozone lidars have been operated at Observatoire de Haute Provence (OHP) for 11 days during the Intercontinental Transport of Ozone and Precursors (ITOP-2004) measurement campaign. Ozone and scattering ratio vertical profiles have been measured from the boundary layer up to the tropopause. At first order, tropospheric ozone temporal variability is due to local pollution within the planetary boundary layer and to stratosphere-troposphere exchange. Remaining ozone rich layers within the free troposphere are related to long-range transport processes. Transport pathways are discussed combining Lagrangian particle dispersion modeling analysis and upstream airborne in situ measurements of the chemical composition of these air masses. High ozone and CO mixing ratios measured within polluted plumes aboard the aircraft correspond to ozone and aerosol layers seen by the lidar. Most of these layers have their origin in North America where they are uplifted either by forest fires or by warm conveyor belts in the vicinity of frontal regions. During the campaign, these polluted and thin (<1 km) layers remain coherent and are transported in a Lagrangian manner over the Atlantic Ocean. The layers observed above OHP in the lower free troposphere exhibit ozone mixing ratio 50% larger than background values. With an ozone content of 3 to 6 Dobson Units, these layers increase by 5 to 10% the background tropospheric ozone column