0000000000354867

AUTHOR

Sylvie Borau

showing 4 related works from this author

National identity predicts public health support during a global pandemic

2022

Funder: Research Council of Norway through its Centres of Excellence Scheme, FAIR project No 262675

IMAGEHealth BehaviorCOVID-19 ; national identity ; public health ; pandemic ; cross-culturalCollective narcissismSettore SECS-P/02 - Politica Economicahealth behaviorSociologyRA0421 Public health. Hygiene. Preventive MedicineSettore SECS-P/01 - Economia Politicapublic health behaviours COVID-19 collective behaviourPublic health[SHS.SOCIO]Humanities and Social Sciences/SociologySocial IdentificationQ/706/689/477/2811articleSocial identityPublic Health Global Health Social Medicine and Epidemiology[SHS.ECO]Humanities and Social Sciences/Economics and Finance3142 Public health care science environmental and occupational healthVDP::Medisinske Fag: 700::Helsefag: 8005141 SociologySettore SECS-P/03 - Scienza delle Finanze/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNational identityHumanCross-Cultural ComparisonBF PsychologyScienceCOVID-19 pandemicBFnational narcissismHV Social pathology. Social and public welfare. CriminologyCOVID-19; Cross-Cultural Comparison; Health Behavior; Humans; Leadership; Pandemics; Public Health; SARS-CoV-2; Self Report; Social Identification; Social ConformityHuman development/692/699/255/2514SDG 3 - Good Health and Well-beingSocial ConformityHuman behaviournational identitypolitical ideologyHumansCOLLECTIVE NARCISSISMSOCIAL IDENTITYPandemicsMCCPandemicIDENTIFICATIONSARS-CoV-2COVID-19DAS[SHS.SCIPO]Humanities and Social Sciences/Political scienceCoronavirusMODELLeadershipFolkhälsovetenskap global hälsa socialmedicin och epidemiologiViral infectionIdenficationImageRA Public aspects of medicine[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieHuman medicineSelf ReportRAModel
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Positive gender congruency effects on shopper responses:Field evidence from a gender egalitarian culture

2021

National audience; This field study examined how customer-employee interactions are affected by the congruency between an employee's gender and the perceived gender image of the consumption context in one of the most gender equal cultures in the world (Scandinavia). Mystery shoppers had a service encounter with an employee across a set of physical commercial settings that were classified according to their gender image. The mystery shoppers noted the gender of the employee, provided employee evaluations, and indicated word-of-mouth (WOM) ratings. Shoppers who had a gender congruent service encounter (e.g., a female employee in a “feminine” consumption context) reported more favorable employ…

MarketingConsumption (economics)Service (business)MasculinityProcessing fluencyField (Bourdieu)Occupational segregationGenderContext (language use)[SHS.ECO]Humanities and Social Sciences/Economics and FinanceGendered marketingVDP::Samfunnsvitenskap: 200::Økonomi: 210FemininityGender equalityWord-of-mouthEthical dilemmaStereotypesPsychologySet (psychology)CongruencyCompetence (human resources)Social psychologyEmployee evaluations
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The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI

2021

MarketingPerceptionmedia_common.quotation_subjectMachine ethicsRobotPsychologySocial psychologyApplied Psychologymedia_commonPsychology & Marketing
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Drivers and Social Implications of Artificial Intelligence Adoption in Healthcare during the COVID-19 Pandemic

2021

The COVID-19 pandemic continues to impact people worldwide–steadily depleting scarce resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief but only if the technology gets adopted at scale. The present research investigates people’s intention to adopt medical AI as well as the drivers of this adoption in a representative study of two European countries (Denmark and France,N= 1068) during the initial phase of the COVID-19 pandemic. Results reveal AI aversion; only 1 of 10 individuals choose medical AI over human physicians in a hypothetical triage-phase of COVID-19 pre-hospital entrance. Key predictors of medical AI adoption are people’s trust in medical …

MaleViral DiseasesEpidemiologyHealth Care ProvidersDenmarkSELF-ESTEEMIntelligenceSocial SciencesmedicalGeographical locationsCovidMedical ConditionsPandemicHealth careMedicine and Health SciencesPsychologyMedical Personneladoptionmedia_commonMultidisciplinaryQRhealthcareCovid19healthdriversMiddle Aged[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTelemedicinedoctorEuropeProfessionsInfectious DiseasesdataScale (social sciences)HumanityArtificialTraitMedicineFemaleFrancePsychologyCovid-19Research ArticlePersonalityAdultComputer and Information Sciencesmedia_common.quotation_subjectScienceMEDLINENeglectScarcityPSYCHOLOGYPEOPLEArtificial IntelligencePhysiciansHumansEuropean UnionPandemicsAgedPersonality Traitsbusiness.industrypandemicBiology and Life SciencesCovid 19socialimplicationsHealth CareAttitudeSocioeconomic FactorsAIPeople and PlacesPopulation GroupingsArtificial intelligencebusiness
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