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Examination of Business Interest in Level of Complexity of Facial Biometric Technology Implementation in Slovakia

In: Advances in Longitudinal Data Methods in Applied Economic Research

Author

Listed:
  • Michal Budinský

    (Matej Bel University)

  • Janka Táborecká-Petrovičová

    (Matej Bel University)

Abstract

Increase in the requirement of still more demanding customers forces businesses to improve their processes, especially in meeting their needs with the highest efficiency. In order to reach this aim, one of the possibilities is utilization of new technologies, what improves whole business performance at all. It is not a secret that biometric technologies are spreading quickly within distinctive sectors and their popularity increases. Related to this, utilization range of these technologies in private sectors and the required level of their complexity is an interesting issue for examination. The main aim of this paper is to reveal the level of complexity of facial biometric technology implementation, which businesses operating in Slovakia would be interested in. Notably, we devoted our attention to the identification of certain level of complexity among business, we focused on identification of possible relationship between complexity level and added value/usefulness or AIDA/STDC model. Within our research was proved assumption that at least half of businesses in Slovakia are interested in some form of facial biometric technology implementation. In addition, our research confirmed dependence between the required level of implementation complexity and distinctive factors. Based on the results were formulated several managerial implications. This paper contains partial results of complex research focused on the examination of market potential of facial biometric technology implementation in Slovakia.

Suggested Citation

  • Michal Budinský & Janka Táborecká-Petrovičová, 2021. "Examination of Business Interest in Level of Complexity of Facial Biometric Technology Implementation in Slovakia," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Longitudinal Data Methods in Applied Economic Research, pages 135-146, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-63970-9_10
    DOI: 10.1007/978-3-030-63970-9_10
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