Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Digital Transformation of Signatures : Suggesting Functional Symmetry Approach for Loan Agreements. / Titov, Viktor; Shust, Pavel; Dostov, Victor; Leonova, Anna; Krivoruchko, Svetlana; Lvova, Nadezhda; Guzov, Iurii; Vashchuk, Angelina; Pokrovskaia, Natalia; Braginets, Anton; Zaboev, Mikhail.
в: Computation, Том 10, № 7, 106, 24.06.2022.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Digital Transformation of Signatures
T2 - Suggesting Functional Symmetry Approach for Loan Agreements
AU - Titov, Viktor
AU - Shust, Pavel
AU - Dostov, Victor
AU - Leonova, Anna
AU - Krivoruchko, Svetlana
AU - Lvova, Nadezhda
AU - Guzov, Iurii
AU - Vashchuk, Angelina
AU - Pokrovskaia, Natalia
AU - Braginets, Anton
AU - Zaboev, Mikhail
N1 - Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/6/24
Y1 - 2022/6/24
N2 - This article aims to formulate proposals for regulatory bodies whose implementation would ensure the effective introduction of civil circulation into electronic signatures, with minimal costs for economic entities. While electronic signatures have been widely discussed in academic literature, there are still gaps in the understanding of similarities and differences between electronic and handwritten signatures, the functional specifics of the relationship between them, and the role of electronic signatures for electronic contract. Our research has allowed us to overcome this gap adopting a functional symmetry approach based on measuring the distance between fuzzy sets and the Mamdani fuzzy inference algorithm. This made it possible to form an estimate of the degree of functional symmetry between different types of signatures in a fuzzy and exact form. Correspondingly, we argue that the signature can be viewed as a set of procedures rather than as a single act in order to achieve functional symmetry with a handwritten signature. The case of online lending was used to test and prove this hypothesis. Therefore, regulating electronic signatures needs to focus on the efficiency of this processes for ex ante identification, capturing the intent, ensuring the inalterability and providing reliable evidence, irrespective of the type of electronic signature that is used. It was also revealed that the proposed functional symmetry approach can be combined with a fuzziness index analysis to provide new prospects for further research.
AB - This article aims to formulate proposals for regulatory bodies whose implementation would ensure the effective introduction of civil circulation into electronic signatures, with minimal costs for economic entities. While electronic signatures have been widely discussed in academic literature, there are still gaps in the understanding of similarities and differences between electronic and handwritten signatures, the functional specifics of the relationship between them, and the role of electronic signatures for electronic contract. Our research has allowed us to overcome this gap adopting a functional symmetry approach based on measuring the distance between fuzzy sets and the Mamdani fuzzy inference algorithm. This made it possible to form an estimate of the degree of functional symmetry between different types of signatures in a fuzzy and exact form. Correspondingly, we argue that the signature can be viewed as a set of procedures rather than as a single act in order to achieve functional symmetry with a handwritten signature. The case of online lending was used to test and prove this hypothesis. Therefore, regulating electronic signatures needs to focus on the efficiency of this processes for ex ante identification, capturing the intent, ensuring the inalterability and providing reliable evidence, irrespective of the type of electronic signature that is used. It was also revealed that the proposed functional symmetry approach can be combined with a fuzziness index analysis to provide new prospects for further research.
KW - digital economy
KW - digital transformation
KW - electronic signature
KW - electronic signature regulation
KW - fuzzy model
KW - handwritten signature
KW - loan agreement
KW - online lending
UR - http://www.scopus.com/inward/record.url?scp=85133291799&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/3d4a95c6-18a5-3d87-999d-bc0563a07f8b/
U2 - 10.3390/computation10070106
DO - 10.3390/computation10070106
M3 - Article
AN - SCOPUS:85133291799
VL - 10
JO - Computation
JF - Computation
SN - 2079-3197
IS - 7
M1 - 106
ER -
ID: 97140618