Literature DB >> 22317144

A computerized system to monitor resilience indicators in organizations.

Paulo Victor Rodrigues de Carvalho1, Alan Pinheiro de Souza, Jose Orlando Gomes.   

Abstract

The concepts developed by resilience engineering allow the understanding and monitoring the functioning of organizations and, particularly, to map the role of human activities, in success or in failure, enabling a better comprehension about how people make decisions in unexpected situations. The capture of information about human activities in the various organization levels gives managers a deeper real-time understanding of what is influencing the people performance, providing awareness of the factors that influence positively or negatively the organizational goals initially projected. The monitoring is important because the correct functioning of complex systems depends on the knowledge that people have to perform their activities and how the system environment provides tools that actually support the human performance. Therefore, organizations should look forward through precursors in operating signals to identify possible problems or solutions in the structure of tasks and activities, safety, quality, schedule, rework, and maintenance. We apply the concepts of resilience engineering to understand the organization by the analysis of cognitive tasks and activities. The aim is the development of a computerized system to monitor human activities to produce indicators to access system resilience. The validation of the approach was made in a real organization and the results show the successful applicability of the system. Based on findings obtained after the experiment of the system in a real organization, and managers and workers opinions, it was possible to show that the use of system provided an anticipated (real-time) perception about how activities are effectively being performed, allowing managers and workers to make decisions more consistent with daily problems, and also to anticipate solutions to cope with unexpected situations.

Entities:  

Mesh:

Year:  2012        PMID: 22317144     DOI: 10.3233/WOR-2012-0527-2803

Source DB:  PubMed          Journal:  Work        ISSN: 1051-9815


  3 in total

1.  Resilient actions in the diagnostic process and system performance.

Authors:  Michael W Smith; Traber Davis Giardina; Daniel R Murphy; Archana Laxmisan; Hardeep Singh
Journal:  BMJ Qual Saf       Date:  2013-06-27       Impact factor: 7.035

2.  Toward a theory-led meta-framework for implementing health system resilience analysis studies: a systematic review and critical interpretive synthesis.

Authors:  Zeynab Foroughi; Parvin Ebrahimi; Aidin Aryankhesal; Mohammadreza Maleki; Shahram Yazdani
Journal:  BMC Public Health       Date:  2022-02-12       Impact factor: 3.295

3.  Development of a Business Model Resilience Framework for Managers and Strategic Decision-makers.

Authors:  M Radic; P Herrmann; P Haberland; Carla R Riese
Journal:  Schmalenbach Z Betriebswirtsch Forsch       Date:  2022-07-21
  3 in total

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