Olga I. Denisova
Saint Petersburg State University of Industrial Technologies and Design
Artem R. Denisov
Kostroma State University
Application of bayesian networks in the evaluation of projects of corporate uniform
Denisova O. I., Denisov A. R. Application of Bayesian networks in the evaluation of projects of corporate uniform. Technologies & Quality. 2021. No 4(54). P. 60–66. (In Russ.) https: doi 10.34216/2587-6147-2021-4-54-60-66.
DOI: 10.34216/2587-6147-2021-4-54-60-66
УДК: 687
Publish date: 2021-11-18
Annotation: The article reveals the problem of making a decision on the design of a corporate uniform in the context of the contradictory requirements for uniformity of clothing for employees and the needs of participants in the dress code for self-expression. The combination of the above factors creates specificity in the assessment of uniform projects, since it becomes necessary to predict the stability of the dress code policy, the acceptance of its requirements by all interested parties. To solve this problem, a method is proposed for assessing the design decisions of a uniform from the standpoint of a balanced reflection in its design of the values of corporate culture and the possibilities of personal self-identification of participants in the dress code. The article considers an example of the development and testing of a semantic map, reflecting the probabilistic relationship of design parameters, in the assessment and refinement of models-proposals of a corporate uniform. The evaluation criteria presented in the semantic map format allow reflecting both the marketing role of the uniform in the promotion of the company′s services and the actual needs of the dress code participants identified during the expert discussions.
Keywords: dress code, corporate identity, ambivalence, design, expert assessment methods, personal identity, male or female sex, completeness
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Author's info: Olga I. Denisova, Saint Petersburg State University of Industrial Technologies and Design, Saint Petersburg, Russia, ipolgadenisova@yandex.ru, https://orcid.org/0000-0001-6860-2292
Co-author's info: Artem R. Denisov, Kostroma State University, Kostroma, Russia, iptema@yandex.ru, https://orcid.org/0000-0002-3359-4103