Workplace Topology Model for Assessment of Static and Dynamic Interactions Among Employees

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Enterprise Design, Operations, and Computing. EDOC 2022 Workshops (EDOC 2022)

Abstract

Interactions among employees promote spread of infectious diseases at workplaces. Enterprise architecture provides rich information about organizational structure and its relations to other elements in an enterprise. This paper develops a workplace topology model as a sub-set of enterprise architecture to analyze both static and dynamic interactions among the employees and to monitor and to limit spread of infectious diseases. The model is developed as a multi-layer graph combining organizational, facility and sensing layers. The graph analytical methods are elaborated to analyze the interactions. The analysis provides inputs to spread of infectious diseases risk assessment models. The application of the graph analytics methods is demonstrated using an example from an Information Technology consulting company producing both software and hardware products.

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Notes

  1. 1.

    https://pubs.opengroup.org/architecture/archimate3-doc/chap08.html.

  2. 2.

    https://github.com/smart-data-models/dataModel.Device/blob/1c41e5128a54d7b67bf51f3a7daba3c72f497aa0/Device/doc/spec.md.

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Acknowledgements

Project “Platform for the Covid-19 safe work environment” (ID. 1.1.1.1/21/A/011) is founded by European Regional Development Fund specific objective 1.1.1 «Improve research and innovation capacity and the ability of Latvian research institutions to attract external funding, by investing in human capital and infrastructure». The project is co-financed by REACT-EU funding for mitigating the consequences of the pandemic crisis.

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Correspondence to Jānis Grabis .

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Grabis, J. (2023). Workplace Topology Model for Assessment of Static and Dynamic Interactions Among Employees. In: Sales, T.P., Proper, H.A., Guizzardi, G., Montali, M., Maggi, F.M., Fonseca, C.M. (eds) Enterprise Design, Operations, and Computing. EDOC 2022 Workshops . EDOC 2022. Lecture Notes in Business Information Processing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-26886-1_14

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  • DOI: https://doi.org/10.1007/978-3-031-26886-1_14

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  • Online ISBN: 978-3-031-26886-1

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