0000000000270411

AUTHOR

Patrycja Antosz

showing 2 related works from this author

Computational Models That Matter During a Global Pandemic Outbreak

2020

The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers’ demands for advice despite the absence of adequate, trusted data. Understanding the pandemic requires fine-grained data representing specific local conditions and the social reactions of individuals. While experts have built simulation models to estimate disease trajectories that may be enough to gu…

DYNAMICSComputer and Information SciencesAgent-based modelIMPACT010501 environmental sciences01 natural sciencesRigourModelling03 medical and health sciencesPolitical scienceHealth carePandemicComputer Science (miscellaneous)Pandemic Disease0105 earth and related environmental sciencesAgent-based modelDatabusiness.industry030503 health policy & servicesSocial distanceSOCIAL-SCIENCESGeneral Social SciencesCOVID-19Social complexityPublic Health Global Health Social Medicine and EpidemiologyData- och informationsvetenskapPublic relationsVDP::Social science: 200Transparency (behavior)Call to actionAgent-Based ModelsFolkhälsovetenskap global hälsa socialmedicin och epidemiologiPandemic diseasePolicyVDP::Samfunnsvitenskap: 2000305 other medical sciencebusinessJASSS - The Journal of Artificial Societies and Social Simulation
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Employee shirking and overworking: modelling the unintended consequences of work organisation

2020

Underworking (i.e. shirking) and overworking of employees can have detrimental effects for the individual and the organisation. We develop a computational model to investigate how work structure, specifically the way in which managers distribute work tasks amongst employees, impacts work intensity and working time. The model draws on theories from economics, psychology and management, and on empirical observations. The simulations show that when managers correctly estimate task difficulty, but undervalue the employee’s competence, opportunities for shirking are provided due to longer deadlines. Similarly, if managers overvalue the employee’s competence, they set tighter deadlines leading to…

Knowledge managementSystems AnalysisPhysical Therapy Sports Therapy and RehabilitationHuman Factors and ErgonomicsWorkloadTask performance03 medical and health sciences0302 clinical medicinePHYSICIANSWork IntensityHumanssocial simulations0501 psychology and cognitive sciencesComputer SimulationshirkingEmpirical evidenceCompetence (human resources)050107 human factorsWork PerformanceAGENTAgent-based modelbusiness.industryUnintended consequences05 social sciences030229 sport sciencesWork organisationPERFORMANCETest theoryWorking timeagent-based modelErgonomicsbusinessPsychology
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