Advertisement

Application of Systemic-Structural Activity Theory to Evaluation of Innovations

  • Inna BednyEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 953)

Abstract

This paper discusses methodological issues related to the innovation process. Generally, the approach to the determination of innovation efficiency consists of comparing the effect of innovative activities and the cost of innovations which provide this effect. Here we examine the innovation efficiency from the perspective of human performance. Systemic-structural activity theory offers analytical methods for studying how innovations impact productivity, complexity and reliability of task performance. Systemic-structural activity theory approach concentrates on reducing the complexity of work, enhancing reliability of task performance, evaluating innovations, determining the most efficient versions of software or equipment and on developing the efficient strategies of performance. The results of this study suggest that SSAT offers methods of evaluation of efficiency of innovation at the design level. The use of these methods allows to determine if innovations increase productivity and reliability of performance, and reduce the rate of human errors without costly development process.

Keywords

Innovation Efficiency Complexity Reliability Systemic-structural activity theory 

References

  1. 1.
    Drucker, P.: Innovation and Entrepreneurship: Practice and Principles, pp. 133–140. Heinemann, London (1985)Google Scholar
  2. 2.
    Nasierowski, W., Arcelus, F.J.: Procedia Soc. Behav. Sci. 58, 792–801 (2012)CrossRefGoogle Scholar
  3. 3.
    Bedny, G.Z., Bedny, I.S.: Work Activity Studies Within the Framework of Ergonomics, Psychology, and Economics. CRC Press and Taylor and Francis Group, Boca Raton and Florida (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.United Parcel Service3 Nuthatcher CourtWayneUSA

Personalised recommendations