Skip to main content

A Case-Based Approach to Assess Employees’ Satisfaction with Work Guidelines in Times of the Pandemic

  • Conference paper
  • First Online:
Applied Informatics (ICAI 2020)

Abstract

The actual pandemic crisis posed new challenges for organizations that had to adapt new working procedures to prevent infection. In this context, monitoring employee satisfaction is paramount, but a very difficult task. To respond to this challenge, a workable problem-solving methodology was developed and tested. It examines the dynamics between Logic Programming and the Laws of Thermodynamics for Knowledge Representation and Reasoning. Such formalisms are consistent with a computer-based approach based on Case-Based Reasoning, the ultimate goal of which is to assess employee satisfaction in water analysis laboratories. The model was trained and tested with real data, collected through questionnaires, exhibiting an overall accuracy of 85.9%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Portuguese Goverment: Establishes exceptional and temporary measures regarding the epidemiological situation of the new Coronavirus, COVID–19. Decree-Law No. 10-A/2020 of 13 March (2020)

    Google Scholar 

  2. World Health Organization: Laboratory Biosafety Guidance Related to Coronavirus Disease (‎‎‎‎‎COVID–19) & #x200E;‎‎‎‎– Interim Guidance. WHO Edition, Geneve (2020)

    Google Scholar 

  3. World Health Organization: Cleaning and Disinfection of Environmental Surfaces in the Context of COVID–19 & #x200E;‎‎‎‎– Interim Guidance. WHO Edition, Geneve (2020)

    Google Scholar 

  4. Alfes, K., Shantz, A.D., Truss, C., Soane, E.C.: The link between perceived human resource management practices, engagement and employee behaviour: a moderated mediation model. Int. J. Hum. Resour. Manag. 24, 330–351 (2013)

    Article  Google Scholar 

  5. Berman, E.M., Bowman, J.S., West, J.P., Van Wart, M.R.: Human Resource Management in Public Service: Paradoxes, Processes, and Problems. SAGE Publications Inc., Thousand Oaks (2020)

    Google Scholar 

  6. Petrescu, A.I., Simmons, R.: Human resource management practices and employees’ job satisfaction. Int. J. Manpower 29, 651–667 (2008)

    Article  Google Scholar 

  7. Neves, J.: A logic interpreter to handle time and negation in logic databases. In: Muller, R., Pottmyer, J. (eds.) Proceedings of the 1984 Annual Conference of the ACM on the 5th Generation Challenge, pp. 50–54. ACM, New York (1984)

    Google Scholar 

  8. Fernandes, B., Vicente, H., Ribeiro J., Capita, A., Analide, C., Neves, J.: Fully informed vulnerable road users – simpler, maybe better. In: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS2019), pp. 600–604. Association for Computing Machinery, New York (2020)

    Google Scholar 

  9. Figueiredo, M., et al.: An assessment of students’ satisfaction in higher education. In: Vittorini, P., Di Mascio, T., Tarantino, L., Temperini, M., Gennari, R., De la Prieta, F. (eds.) MIS4TEL 2020. AISC, vol. 1241, pp. 147–161. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-52538-5_16

    Chapter  Google Scholar 

  10. Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7, 39–59 (1994)

    Article  Google Scholar 

  11. Richter, M.M., Weber, R.O.: Case-Based Reasoning: A Textbook. Springer, Berlin (2013)

    Book  Google Scholar 

  12. Wenterodt, T., Herwig, H.: The entropic potential concept: a new way to look at energy transfer operations. Entropy 16, 2071–2084 (2014)

    Article  Google Scholar 

  13. Neves, J., et al.: Entropy and organizational performance. In: Pérez García, H., Sánchez González, L., Castejón Limas, M., Quintián Pardo, H., Corchado Rodríguez, E. (eds.) Hybrid Artificial Intelligent Systems. Lecture Notes in Computer Science, vol. 11734, pp. 206–217. Springer, Cham (2019)

    Chapter  Google Scholar 

  14. Vilhena, J., Vicente, H., Martins, M.R., Grañeda, J., Caldeira, F., Gusmão, R., Neves, J., Neves, J.: A case-based reasoning view of thrombophilia risk. J. Biomed. Inform. 62, 265–275 (2016)

    Article  Google Scholar 

  15. Neves, J., et al.: Waiting time screening in healthcare. In: Jung, J.J., Kim, P., Choi, K.N. (eds.) BDTA 2017. LNICSSITE, vol. 248, pp. 124–131. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98752-1_14

    Chapter  Google Scholar 

  16. Ferraz, F., Vicente, H., Costa, A., Neves, J.: Analysis of dyscalculia evidences through artificial intelligence systems. J. Softw. Networking 2016, 53–78 (2016)

    Article  Google Scholar 

Download references

Acknowledgments

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Henrique Vicente .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fernandes, A., Figueiredo, M., Dias, A., Ribeiro, J., Neves, J., Vicente, H. (2020). A Case-Based Approach to Assess Employees’ Satisfaction with Work Guidelines in Times of the Pandemic. In: Florez, H., Misra, S. (eds) Applied Informatics. ICAI 2020. Communications in Computer and Information Science, vol 1277. Springer, Cham. https://doi.org/10.1007/978-3-030-61702-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61702-8_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61701-1

  • Online ISBN: 978-3-030-61702-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics