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Measurement and Optimization Models of Risk Management System Usability

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Computer Information Systems and Industrial Management (CISIM 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12133))

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Abstract

Systematization of issues related to the approach to defining and measuring the usability of a Risk Management System (RMS) is one of the key milestones on the way to understand it. A number of models and methods exists in this area. Author attempted to propose the model of the RMS usability and methodology of its application, as a results of in-depth studies carried out by himself in multiple organizations. The outcomes of research are aligned to the requirements that allow their use in any organization regardless of its field of operations, location, size and type of ownership. The model provides fundamentals that enables optimization of the RMS functional configuration in cases where it is possible to generate several acceptable its configuration’s variants for specific organization.

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References

  1. Au, F., Baker, S., Warren, I., Dobbie, G.: Automated usability testing framework. In: Proceedings of the Ninth Conference on Australasian User Interface, AUIC 2008, vol. 76, pp. 55–64 (2008)

    Google Scholar 

  2. Bastien, J.: Usability testing: a review of some methodological and technical aspects of the method. Int. J. Med. Informatics 79, 18–23 (2009)

    Article  Google Scholar 

  3. Budworth, N.: Indicators of performance in safety management. Safety Health Pract. 14, 23–29 (1996)

    Google Scholar 

  4. Campbell, D.J., et. al.: Performance measurement of process safety management systems. In: International Conference and Workshop in Reliability and Risk Management (1998)

    Google Scholar 

  5. Cunningham, S.M.: The major dimensions of perceived risk. In: Cox, D.F. (ed.) Risk Taking and Information Handling in Consumer Behavior. Harvard University Press (1967)

    Google Scholar 

  6. Fitzpatrick R.: Strategies for Evaluating Software Usability, Methods (1998)

    Google Scholar 

  7. Greatorex, M., Mitchell, V.: Developing the perceived risk concept. In: Emerging Issues in Marketing, Proceedings Marketing Education Group Conference, vol. 1, pp. 405–415 (1993)

    Google Scholar 

  8. Kiedrowicz, M., NapiĂłrkowski, J., Stanik, J.: Model of automated control and monitoring system of the current level of information security. In: Proceedings of the 25th Anniversary Conference Geographic Information Systems Conference and Exhibition (2018)

    Google Scholar 

  9. Laskowski, M.: Czynniki zwiększające jakość użytkową interfejsów aplikacji internetowych. Logistyka 6, 2191–2199 (2011)

    Google Scholar 

  10. Protasowicki, T., Stanik, J.: Metodyka kształtowania ryzyka w cyklu rozwojowym systemu informatycznego. In: Kosiuczenko, P., Śmiałek, M., Swacha, J. (eds.) Od procesów do oprogramowania: badania i praktyka, pp. 27–44 (2015)

    Google Scholar 

  11. Scott, J.E., Zikmund, W.G.: An investigation of the role of product characteristics in risk perception. Rev. Bus. Econ. Res. 13 (1977)

    Google Scholar 

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Correspondence to Tomasz Protasowicki .

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Protasowicki, T. (2020). Measurement and Optimization Models of Risk Management System Usability. In: Saeed, K., DvorskĂ˝, J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science(), vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_35

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  • DOI: https://doi.org/10.1007/978-3-030-47679-3_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-47678-6

  • Online ISBN: 978-3-030-47679-3

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