Algorithms for Making Managerial Decisions in the Digital Economy

Q2 Social Sciences
V. Chernov
{"title":"Algorithms for Making Managerial Decisions in the Digital Economy","authors":"V. Chernov","doi":"10.26794/2304-022x-2022-12-1-6-16","DOIUrl":null,"url":null,"abstract":"For solving the existing problems such as loss of sales and customer dissatisfaction, it is necessary to improve promptly the properties of manufactured products in accordance with the dynamically changing market demands. This requires the development of special methods and models for making managerial decisions in conditions of uncertainty and risk. Such decisions could become an algorithm for artificial intelligence of digital technologies, which determines the relevance of the study. The subject of the study is choosing the most significant decisions in conditions of uncertainty and risk. The goal is to find opportunities for making informed decisions for poorly structured, non-formalized processes when developing new product designs with characteristics that meet the rapidly changing needs of the business environment. The solution uses the method of prioritization with expert assessments, groupings, comparisons. The result of the research is the development of a priority setting model with the identification of existing shortcomings and the proposal of changes and additions that eliminate shortcomings in relation to the problem being solved. The author concluded: the developed model, when used in management decisions, allows us to determine the best functions of the product for their inclusion in the design of the innovative model; to make a rating of the significance of functional properties for the consumer and the manufacturer. The development of a methodology with the elimination of the shortcomings of previous studies is a scientific novelty. The obtained methodology contributes to maximizing the demand and competitiveness of the management model, operational innovative changes in the properties of the product corresponding to the rapidly changing demands of the competitive business environment and can be used in the formation of a knowledge base in neural networks of digital technologies. It solves the problem of responding to dynamic changes in consumer preferences, as well as introducing technological innovations in the production of goods, that entail changes in the company’s business processes focused on improving the quality of the final product, which determines the success of strategic business development. The companies’ management may apply the results of the research in the development of corporate governance strategies, researchers, university students, etc.","PeriodicalId":35958,"journal":{"name":"Periodica Polytechnica, Social and Management Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Periodica Polytechnica, Social and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26794/2304-022x-2022-12-1-6-16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

For solving the existing problems such as loss of sales and customer dissatisfaction, it is necessary to improve promptly the properties of manufactured products in accordance with the dynamically changing market demands. This requires the development of special methods and models for making managerial decisions in conditions of uncertainty and risk. Such decisions could become an algorithm for artificial intelligence of digital technologies, which determines the relevance of the study. The subject of the study is choosing the most significant decisions in conditions of uncertainty and risk. The goal is to find opportunities for making informed decisions for poorly structured, non-formalized processes when developing new product designs with characteristics that meet the rapidly changing needs of the business environment. The solution uses the method of prioritization with expert assessments, groupings, comparisons. The result of the research is the development of a priority setting model with the identification of existing shortcomings and the proposal of changes and additions that eliminate shortcomings in relation to the problem being solved. The author concluded: the developed model, when used in management decisions, allows us to determine the best functions of the product for their inclusion in the design of the innovative model; to make a rating of the significance of functional properties for the consumer and the manufacturer. The development of a methodology with the elimination of the shortcomings of previous studies is a scientific novelty. The obtained methodology contributes to maximizing the demand and competitiveness of the management model, operational innovative changes in the properties of the product corresponding to the rapidly changing demands of the competitive business environment and can be used in the formation of a knowledge base in neural networks of digital technologies. It solves the problem of responding to dynamic changes in consumer preferences, as well as introducing technological innovations in the production of goods, that entail changes in the company’s business processes focused on improving the quality of the final product, which determines the success of strategic business development. The companies’ management may apply the results of the research in the development of corporate governance strategies, researchers, university students, etc.
数字经济中管理决策的算法
为了解决现有的销售流失、顾客不满意等问题,需要根据市场需求的动态变化,及时改进制成品的性能。这就需要发展特殊的方法和模型,以便在不确定和有风险的情况下作出管理决策。这些决定可以成为数字技术人工智能的算法,决定研究的相关性。该研究的主题是在不确定和风险的条件下选择最重要的决策。目标是在开发具有满足快速变化的业务环境需求的特征的新产品设计时,为结构不良的、非形式化的过程找到做出明智决策的机会。该解决方案使用专家评估、分组、比较的优先级方法。研究的结果是开发一个优先级设置模型,识别现有的缺点,并提出改变和增加的建议,以消除与正在解决的问题有关的缺点。作者的结论是:当开发模型用于管理决策时,我们可以确定产品的最佳功能,以便将其包含在创新模型的设计中;对消费者和制造商的功能特性的重要性进行评级。发展一种方法论,消除以往研究的缺点,是一种科学上的新奇事物。所获得的方法有助于最大限度地提高管理模式的需求和竞争力,产品属性的操作创新变化与竞争商业环境快速变化的需求相对应,并可用于形成数字技术神经网络的知识库。它解决了应对消费者偏好动态变化的问题,以及在商品生产中引入技术创新,这需要改变公司的业务流程,重点是提高最终产品的质量,这决定了战略业务发展的成功。公司管理层可以将研究结果应用于公司治理策略的制定、研究人员、大学生等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Periodica Polytechnica, Social and Management Sciences
Periodica Polytechnica, Social and Management Sciences Social Sciences-Social Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
26
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信