Creation of a cluster structure in the bakery industry (Example of the Saratov region)

Author:

Bobrysheva Alisa A.1ORCID

Affiliation:

1. Volga Institute of Management, Branch of RANEPA, Saratov

Abstract

The development of clusters in Russia involves active participation in the country's economy. These projects require lengthy preparation, including the search for cluster participants, suppliers of raw materials, finding investors, identifying the motivation of enterprises and public authorities to create a cluster structure. It should be noted that when creating clusters, the question arises about the systematization of the stages of its formation, in particular, about the priority of issues related to the search for suppliers and the sales market, appeals to public authorities for support. In the literature, we find confirmation that the functioning of clusters begins with the development and formation of an algorithm. The research question is whether motivational drivers and the cluster creation algorithm are capable of contributing to the better formation of the cluster structure project. The scientific hypothesis of the study is that the algorithm of the cluster structure, the identified motivational drivers will allow you to create a project of a cluster structure (on the example of the Saratov region). The purpose of the study is to develop an algorithm of the cluster structure with the help of a methodological base, to establish motivational drivers and, based on the data obtained, to form the composition of the participants of the cluster structure. The methodological basis was the works of foreign and Russian scientists who studied algorithms, motivational aspects of cluster emergence. Based on the studied data, it was concluded that the process of forming a cluster structure directly depends on the stages of its formation and during the study; the author found that the developed algorithm of the cluster structure allowed systematizing the stages of creating a cluster structure project. Motivational drivers of the cluster structure are established. The obtained algorithm and drivers led the author to the idea of creating an author's model of the cluster structure of the bakery industry (using the example of enterprises of the Saratov region). A promising direction of this research will be the implementation of this project in the baking industry of the Saratov region, and also leads to the possibility of studying the selection of enterprises as participants for the cluster structure.

Publisher

RPO for the Promotion of Institutes DE RAS

Reference27 articles.

1. Bobrysheva A.A. (2023). On defining the concept of clusters as an integrated structure in the production sphere of activity. Economics of Contemporary Russia, no. 2 (101), pp. 58–71 (In Russian). URL: https://doi.org/10.33293/1609-1442-2023-2(101)-58-71. EDN: DPGNPC

2. Vasilyeva N.V. (2023). Formation and development of a food cluster in the Leningrad region. In: Novels of Law, Economics and Management Materials of the VIII International Scientific and Practical Conference, Gatchina. Gatchina: State Institute of Economics, Finance, Law and Technology, vol. 1, pp. 197–200 (in Russian).

3. Vasilyeva T.N. (2023). Modern cluster policy of the Basque Country. Intellectual Engineering Economics and Industry 5.0 (INPROM). Proceedings of the VIII International Scientific and Practical Conference. St. Petersburg: POLYTECH-PRESS, pp. 415–419 (in Russian).

4. Weber M. (2005). Theory of social and economic organization. Moscow: Olymp-Business. 337 p. (in Russian).

5. Vertakova Yu.V. (2014). Formation and development of industrial clusters. Technical and Technological Problems of Service, no. 1 (27), pp. 92–99 (in Russian).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3