Communicating corporate social responsibility to involve stakeholders. The case of employer branding for university students

La responsabilità sociale d'impresa (o Corporate Social Responsibility, CSR) è uno strumento efficace di marketing e la sua efficacia è mediata dalla modalità con cui le aziende comunicano le proprie attività di CSR agli stakeholder. La ricerca si propone di valutare l'effetto di cinque strategie di comunicazione della CSR, ordinate secondo un livello crescente di coinvolgimento degli stakeholder, sull'Employer Branding (EB) di un'azienda ipotetica. Attraverso la distribuzione di cinque varianti di un opuscolo, l’azienda è stata presentata a due campioni di studenti universitari (n=167; n=112) in cinque diversi scenari comunicativi della CSR. È stato somministrato un questionario con scale che misurano l’attrattività dell'azienda, il prestigio percepito dell'azienda, la disponibilità dei soggetti a entrare in contatto con l'azienda e l’impegno prospettico sul lavoro. È stata anche indagata la percezione della brand personality e della comunicazione della CSR. Le analisi confermano che tutti e cinque gli scenari sono caratterizzati da alti livelli delle dimensioni dell’EB, però lo specifico dialogo di CSR adottato può generare differenti percezioni della brand personality dell'azienda.Corporate Social Responsibility (CRS) is an effective marketing lever, and its effectiveness is mediated by the strategies companies use to communicate their CRS activities to stakeholders. The present research aims at assessing the effect of five CSR communicative strategies, ranked according to an increasing involvement level of stakeholders, on a fictional company’s Employer Branding (EB). The company was presented to two samples of university students (n=167; n=112) via the administration of five different versions of a brochure, corresponding to five different communicative scenarios of CSR. A self-report questionnaire was administrated, with scales measuring the company’s attractiveness, perceived prestige, intention to contact the company, and prospective engagement, as well as the company’s perceived brand personality and CSR communication. Analyses report high levels of the EB dimensions in all five communicative scenarios, which however produce different perceptions of the company’s brand personality

Mens rea, wrongdoing and digital advocacy in social media:Exploring quasi-legal narratives during #deleteuber

#Boycotts represent digital advocacy attempts in which users publicly punish an organization as a lurata (i.e., jury), which assesses the guilty intent, the mens rea (i.e., guilty mind), from a set of visible acts, the actus reus (i.e., wrongdoings). Yet, we know little about the quasi-legal narratives advocated by users. To this aim, we developed a mixed method study of the #deleteuber boycott on Twitter. Our findings suggest that while users advocate both an Uber-specific and a shared mens rea of Uber with sharing economy firms or the tech giants of Silicon Valley, the latter narrative is the most prominent one; its use depends on whether users are part of a lurata of influencers or not. These findings provide a contribution to studies on public affairs that focus on online activism, boycotts in social media and digital advocacy because they increase our understanding of the opaque legal motivations that provoke boycotters. Also, they highlight that social media blurs the boundaries between boycotts directed at the firm from the boycotts arising indirectly due to the shameful acts of the industry or peers

Optimal Location of Intermodal Freight Hubs

Projet ADOPTAttempts at reducing the externalities of freight transport in Europe are generally focused on the incorporation of a more significant use of rail into freight itineraries. One new scenario for increasing the share of rail in intermodal transport involves the development of a dedicated subnetwork of freight rail lines. Within this European Union project, the use of hub-and-spoke type networks, in combination with fixed-length shuttle services for freight, are under discussion. We present this innovative project and the proposed optimization model. The problem is cast as a nonlinear concave-cost hub location problem. A linearization procedure along with two efficient variable-reduction heuristics are proposed for its resolution, making use of recent results on polyhedral properties of this class of problems. Computational experience is provided on the European network of potential hub terminals

Accuracy assessment and screening of a dairy herd with paratuberculosis by three different ELISAs

Although the culture of Mycobacterium avium subsp. paratuberculosisis is the gold standard for the diagnosis of paratuberculosis, this bacterium is difficult to grow. In contrast, serological tests like ELISAs are inexpensive, rapid, and easy to perform. The aims of this study were to evaluate the accuracy of three different ELISAs: one with the commercial antigen PPA-3, another one with L5P (a recently described lipopentapeptide), and a third one with an in-house antigen whole cell lysates (WCL) of M. avium (MAA) strain D4ER (Study 1), and to compare them with other tests for paratuberculosis (PTB) diagnosis (Study 2). In Study 1, the sensitivities of the three ELISAs tested were 74.1%, 37% and 74.1%, respectively, whereas their specificities were 98.9%, 100% and 100%, respectively. In Study 2, we compared the three above-mentioned ELISAs with the intradermal reaction test using Avian PPD (PPDa) and fecal culture associated with Ziehl-Neelsen stain and PCR tests, in a dairy herd with 4.6% of cows with clinical signs of PTB. The results showed that fecal samples from 14 cows (16%) were culture-positive and that fecal samples from nine cows (10%) were PPDa-positive. Most of these animals (culture-positive and PPDa-positive) were detected as positive with any of the three ELISAs tested. Serological results showed that 31% of the animals were positive to ELISA-PPA-3, 17% to ELISA-L5P and 42.5% to ELISA-WCL. The combination of these three ELISAs identified 50.6% of the animals as positive in the infected herd. In particular, the results show that the locally developed ELISA seems to be useful for identifying many infected animals in a herd.Fil: Costanzo, Gabriel. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Alvarado Pinedo, María Fiorella. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Departamento de Clínica. Centro de Diagnóstico e Investigaciones Veterinarias; ArgentinaFil: Mon, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Viale, Mariana Noelia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Gil, Andres. Universidad de la Republica. Facultad de Veterinaria.; UruguayFil: Carrica Illia, Mariano. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Gioffré, Andrea Karina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Arese, Alicia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Travería, Gabriel Eduardo. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Departamento de Clínica. Centro de Diagnóstico e Investigaciones Veterinarias; ArgentinaFil: Romano, Maria Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentin

Tell me what you are like and I will tell you what you believe in: Social representations of COVID-19 in the Americas, Europe and Asia.

This study analyzes the range and content of Social Representations (SRs) about the COVID-19 pandemic in 21 geographical zones from 17 countries in the Americas, Europe and Asia (N = 4430). Based on Social Representations Theory, as well as the psychosocial consequences of pandemics and crises, we evaluate the perceptions of severity and risks, the agreement with different SRs, and participants’ Social Dominance Orientation (SDO) and Right-Wing Authoritarianism (RWA). Different sets of beliefs are discussed as SRs, together with their prevalence and association with contextual variables. Results show that severity and risk perceptions were associated with different SRs of the pandemic. Specifically, those focused on Emerging Externalizing zoonotic and ecological factors (the virus is due to Chinese unhygienic habits and the overexploitation of the planet), Polemic Conspiracies (the virus is a weapon), views of Elite and Mass Villains (the elites deceive us and profit with the pandemic), and Personal Responsibility (the neglectful deserves contagion) during the pandemic. Furthermore, most of the SRs are anchored in SDO and, more strongly, in RWA orientations. Additional meta-analyses and multi-level regressions show that the effects are replicated in most geographical areas and that risk perception was a consistent explanatory variable, even after controlling for demographics and ‘real risk’ (i.e., actual numbers of contagion and death). Results suggest that, while coping with and making sense of the pandemic, authoritarian subjects agree with SR that feed a sense of social control and legitimize outgroup derogation, and support punishment of ingroup lowstatus deviants.University of the Basque Country UPV/EHU, Spain

Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

Peer reviewe

An embedding technique to determine ττ backgrounds in proton-proton collision data

An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe

Measurement of the top quark forward-backward production asymmetry and the anomalous chromoelectric and chromomagnetic moments in pp collisions at √s = 13 TeV

Abstract The parton-level top quark (t) forward-backward asymmetry and the anomalous chromoelectric (d̂ t) and chromomagnetic (μ̂ t) moments have been measured using LHC pp collisions at a center-of-mass energy of 13 TeV, collected in the CMS detector in a data sample corresponding to an integrated luminosity of 35.9 fb−1. The linearized variable AFB(1) is used to approximate the asymmetry. Candidate t t ¯ events decaying to a muon or electron and jets in final states with low and high Lorentz boosts are selected and reconstructed using a fit of the kinematic distributions of the decay products to those expected for t t ¯ final states. The values found for the parameters are AFB(1)=0.048−0.087+0.095(stat)−0.029+0.020(syst),μ̂t=−0.024−0.009+0.013(stat)−0.011+0.016(syst), and a limit is placed on the magnitude of | d̂ t| < 0.03 at 95% confidence level. [Figure not available: see fulltext.

Search for dark matter in events with a leptoquark and missing transverse momentum in proton-proton collisions at 13 TeV

A search is presented for dark matter in proton-proton collisions at a center-of-mass energy of root s= 13 TeV using events with at least one high transverse momentum (p(T)) muon, at least one high-p(T) jet, and large missing transverse momentum. The data were collected with the CMS detector at the CERN LHC in 2016 and 2017, and correspond to an integrated luminosity of 77.4 fb(-1). In the examined scenario, a pair of scalar leptoquarks is assumed to be produced. One leptoquark decays to a muon and a jet while the other decays to dark matter and low-p(T) standard model particles. The signature for signal events would be significant missing transverse momentum from the dark matter in conjunction with a peak at the leptoquark mass in the invariant mass distribution of the highest p(T) muon and jet. The data are observed to be consistent with the background predicted by the standard model. For the first benchmark scenario considered, dark matter masses up to 500 GeV are excluded for leptoquark masses m(LQ) approximate to 1400 GeV, and up to 300 GeV for m(LQ) approximate to 1500 GeV. For the second benchmark scenario, dark matter masses up to 600 GeV are excluded for m(LQ) approximate to 1400 GeV. (C) 2019 The Author(s). Published by Elsevier B.V.Peer reviewe

Bose-Einstein correlations of charged hadrons in proton-proton collisions at s\sqrt s = 13 TeV

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s}$ = 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s}$ = 7 TeV, as well as with theoretical predictions.[graphic not available: see fulltext]Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s} =$ 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s} =$ 7 TeV, as well as with theoretical predictions