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

Michal Budinský () and Janka Táborecká-Petrovičová ()
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Michal Budinský: Matej Bel University
Janka Táborecká-Petrovičová: Matej Bel University

A chapter in Advances in Longitudinal Data Methods in Applied Economic Research, 2021, pp 135-146 from Springer

Abstract: 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.

Keywords: Biometric technologies; Facial biometrics; Market potential (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-63970-9_10

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DOI: 10.1007/978-3-030-63970-9_10

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