A. Kharin, O. Kharina, Aleksandr V. Rodyukov, Elena S. Petrova
{"title":"A Perspective Model of Innovative Integrated Structure Comprising University, Research Facility and Enterprise","authors":"A. Kharin, O. Kharina, Aleksandr V. Rodyukov, Elena S. Petrova","doi":"10.15507/0236-2910.028.201803.333-343","DOIUrl":null,"url":null,"abstract":"Introduction. The problem of mathematical modeling in innovative technologies is the lack of a developed general model of innovation processes. The existing approaches allow simulating innovations from any one part: political, economic (in various aspects) or describe the general structure of innovative activity. For example, innovations can be estimated such indicator as sales volume of an innovative product. However, it does not mean that there are no other indicators or they are not important. \nMaterials and Methods. The models by L. Leydesdorf and S. Kauffman, including NK model originally used for the analysis of development of biological populations, were chosen for research of the model choice problems of the innovative integrated structure between university, the enterprise and research laboratory.\nResults. Modeling the innovative integrated structure between participants of process is carried out based on expert assessment of the innovative landscape for a case of the maximum interdependence. \nConclusions. A brief description of modeling methods in innovative technologies is presented in this article. The general description of the problem sphere is given. The current state of researches of this problem is specified. The imitation of innovative networks development options based on the NK model at the independent strategy of participants is constructed. The case of the maximum complexity of network when all participants of an innovation are interconnected and also local and global optimum in a landscape of projects payback is considered.","PeriodicalId":53930,"journal":{"name":"Mordovia University Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mordovia University Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15507/0236-2910.028.201803.333-343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Introduction. The problem of mathematical modeling in innovative technologies is the lack of a developed general model of innovation processes. The existing approaches allow simulating innovations from any one part: political, economic (in various aspects) or describe the general structure of innovative activity. For example, innovations can be estimated such indicator as sales volume of an innovative product. However, it does not mean that there are no other indicators or they are not important.
Materials and Methods. The models by L. Leydesdorf and S. Kauffman, including NK model originally used for the analysis of development of biological populations, were chosen for research of the model choice problems of the innovative integrated structure between university, the enterprise and research laboratory.
Results. Modeling the innovative integrated structure between participants of process is carried out based on expert assessment of the innovative landscape for a case of the maximum interdependence.
Conclusions. A brief description of modeling methods in innovative technologies is presented in this article. The general description of the problem sphere is given. The current state of researches of this problem is specified. The imitation of innovative networks development options based on the NK model at the independent strategy of participants is constructed. The case of the maximum complexity of network when all participants of an innovation are interconnected and also local and global optimum in a landscape of projects payback is considered.