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Improving efficiency in organizations by monitoring stress and promoting awareness and wellbeing at the workplace

2019Journal article Open access
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dc.contributor.authorNASCIMENTO, TIAGO
dc.contributor.authorPestana, Gabriel
dc.date.accessioned2021-03-15T12:22:36Z
dc.date.available2021-03-15T12:22:36Z
dc.date.issued2019
dc.description.abstractStress at the workplace has been associated with an increase in absenteeism and presenteeism in organisations, with a high impact regarding productivity and co-worker's wellbeing at the workplace. The paper addresses such concerns by considering an approach that can act preventively by implementing a framework for early detection of stressing symptoms. The aim is to provide the organisation with a situational-awareness tool to keep the decision-maker well informed about any suspicious situation requiring the user attention, providing insights based on the co-worker wellness and specific needs, prompting in this way a healthy policy environment at the workplace. The research challenge addresses observing coworkers based on parameters associated with health indicators and understands how their physical and mental behaviour at the workplace can be affected by stress levels, including studying the impact derived from the conditions provided at the workplace environment. The paper presents an ongoing research work for early recognition of the identified risk factors, and to engage the workers in becoming proactive in their workplace. The primary goal of this model is to monitor the risk factors with impact on managing stress at the workplace. From a management viewpoint, the proposed model addresses the general theory of systems, as each variable in a system interacts with other variables so completely that cause and effect cannot be separated, as the workplace and the collaborators are linked together in order to maintain an equilibrium as is the best efficiency and efficacy at organizations. We expect to develop an integrated, systematic and dynamic model to support decision-makers (e.g., health supervisor) with the embedded knowledge required to choose the best possible intervention for the maximum benefit of the client (i.e., co-worker). The Boyd Cycle complements the decision-making process in order for health professionals to make more informed decisions in useful time. The Boyd Cycle assumes the existence of constant feedback and reorientation based on existing information and intuition, promoting the management of the workers and environment information, leading to adjustments in the workplace in real-time. The research will adopt the Design Science Research Methodology (DSRM) approach, where each informational artefact is generated to address the challenges identified for the target group. The study object for the proposed model is the health sciences with a focus on the nursing discipline and will be validated using interviews, panels of experts and later with the use of simulations.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNascimento, T., & Pestana, G. (2019, September). Improving Efficiency in Organizations by Monitoring Stress and Promoting Awareness and Wellbeing at the Workplace. In European Conference on Knowledge Management (pp. 1197-XXV). Academic Conferences International Limited.pt_PT
dc.identifier.doi10.34190/KM.19.165pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/35901
dc.language.isoengpt_PT
dc.publisherAcademic Conferences Limitedpt_PT
dc.subjectAbsentismopt_PT
dc.subjectCiclo de Boydpt_PT
dc.subjectPrevençãopt_PT
dc.subjectDeterminantes de stress e bem-estarpt_PT
dc.titleImproving efficiency in organizations by monitoring stress and promoting awareness and wellbeing at the workplacept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlace20th European Conference on Knowledge Management, ECKM 2019; Lisbon; Portugal; 5 September 2019 through 6 September 2019pt_PT
oaire.citation.startPage1197pt_PT
oaire.citation.titleProceedings of the European Conference on Knowledge Management, ECKMpt_PT
person.familyNameRODRIGUES DO NASCIMENTO
person.familyNamePestana
person.givenNameTIAGO FILIPE
person.givenNameGabriel
person.identifierhttps://scholar.google.pt/citations?user=mG5I7b4AAAAJ&hl=pt-PT
person.identifier.ciencia-id8A19-5ED6-D865
person.identifier.ciencia-idAF11-5B06-6197
person.identifier.orcid0000-0003-3646-9057
person.identifier.orcid0000-0001-6916-2575
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication6ca3db93-3bac-40c7-bb84-9ae4b939b75e
relation.isAuthorOfPublication.latestForDiscoverybb8032c7-3963-4dba-a703-bd0f8060dd25

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