Identifying industrial clusters based on the analysis of business ties: A case of the textile industry

Valitova, Lilia; Sharko, Elena; Шерешева, Марина

doi:10.29141/2218-5003-2021-12-4-5

Cited by 6 publications

(2 citation statements)

References 1 publication

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“…In order to determine the cluster's overall boundaries, it is necessary to understand the presence and nature of the interactions between the enterprises and organizations concentrated in a local area (Valitova et al 2021). One can consider both formal contracts (partnership, work, and property contracts) between cluster members and informal ties (trust, interaction on the same platform, information exchange, belonging to the same business association, etc.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, the need for alignment of interests is always in place; orchestration emerges as a capacity to capture, extract and generate value for the cluster (Sheresheva 2010;Bittencourt et al 2018;Orekhova et al 2020). It is also important (and empirically confirmed) that institutions external to the cluster substantially influence the internal system of norms and rules established by cluster members (Bek et al 2013;Valitova et al 2021).…”

Section: Industrial Cluster As An Inter-organizational Networkmentioning

confidence: 99%

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Application of Social Network Analysis to Visualization and Description of Industrial Clusters: A Case of the Textile Industry

Шерешева

Valitova

Sharko

et al. 2022

JRFM

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This paper discusses the issues of industrial cluster analysis. Initially, the authors explore theoretical approaches to understanding the clusters phenomenon and their identification and analysis. Looking at industrial clusters as network structures connected by various forms of interaction between members, such as ownership linkages, transactions, the presence of common counterparts, and participation in arbitration processes, the authors propose visualizing clusters using social network analysis metrics. This approach helps to address one of the main difficulties when contacting the members of industrial clusters for a subsequent survey or in-depth interviewing. The analysis concludes with a discussion of the proposed method as a way to identify cluster members and determine the most significant ones that are the primary nodes of the network. These key members usually possess enough relevant information about the structure, coordination mechanisms, general strategy, and cluster management system. Therefore, it is possible to limit the list of interviewed respondents without a substantial loss in empirical data quality. The case of the textile industry cluster presented in this paper confirms the applicability of social network analysis to the visualization and description of industrial clusters.

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Section: Methodsmentioning

confidence: 99%

Section: Industrial Cluster As An Inter-organizational Networkmentioning

confidence: 99%

Application of Social Network Analysis to Visualization and Description of Industrial Clusters: A Case of the Textile Industry

Шерешева

Valitova

Sharko

et al. 2022

JRFM

View full text Add to dashboard Cite

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Corporate networking management based on the cost approach

Сергеевна¹,

Владимировна²

2021

Финансы И Управление

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The COVID-19 pandemic caused a significant drop in the tourism sector. Precarious existence of the tourism agencies can be based on the development of the corporate business network managed by the formation of the key network resource – social capital. This research is aimed at the development and testing of the original toolset for the assessment of social capital and creation of the universal model of corporate networking management based on it. The subject of this article is the social capital of a company. The object is the operating tourism agency of Sverdlovsk Region “Mellow Season” LLC. The information framework is comprised of the corporate financial data for the period from 2014 to 2020. The expediency of implementation of cost approach on the level of individual companies is determined. The algorithm of corporate networking management based on the analysis of sustainable business ties portfolio is offered and tested. The author establishes that the company practices one-time and repeated transactions mainly with non-specific assets; specific assets are used only in transactions with the customers. Typical precontractual costs are the costs for searching information, negotiating, and concluding the contract. Typical postcontractual costs are the costs for monitoring and enforcing the counteragents to discharge their obligations. The author analyzes the information on the components of the social capital. Sustainable business tie was identified with 12 suppliers, 28 tourism agencies, and 158 customers. The analysis of behavioral practices of tourism agencies and expert assessments establishes the efficiency standards of transaction costs. It is also determined that the cost savings from the use of social capital for the company under reviews amount to 46.8% of their volume without its use. The recommendation is made to maintain the existing network of sustainable business ties; use the accumulated trust in sustainable business ties with the customers to expand the client base; shift priorities from the transactions made due to the established mechanism of business procedures towards seeking for new opportunities on the market. The author develops the universal model of corporate networking management.

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Cluster analysis of food retailers in Russia

2022

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There is lack of studies on the theoretical and practical aspects of effective clustering of food retailers. The paper focuses on adapting the cluster analysis method to improve the financial performance of retail outlets by controlling relatively homogeneous objects, such as retail space, assortment depth, and average bill. Methodologically, the study relies on the theory of marketing. The research methodology rests on the adaptation of cluster analysis for food retailers. The information base includes retailers’ official websites, expert and analytical materials, as well as databases statista.com and 2gis.ru. The study presents the results of a competitive analysis of changes in the Russian retail market and identifies industry leaders and the most promising retail formats. We propose a mathematical model by using k-means clustering to calculate evaluation criteria and use them as the basis for building a ranking of a food retailer’s stores. The model was tested using the case study of a retail company in Perm (Perm krai, Russia). The identified evaluation criteria are sales volume, retail space, average bill, marginality, the number of SKUs, and service costs. The level of the dependence of retail development on these criteria is calculated. Based on the results of food stores clustering, we single out five clusters with similar approaches to the operational management of retail formats and determine the necessary inventory and logistics. The developed model of stores clustering contributes to the implementation of outlets provision standards and enhances retailers’ performance and the level of customer service.

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Identifying industrial clusters based on the analysis of business ties: A case of the textile industry

Cited by 6 publications

References 1 publication

Application of Social Network Analysis to Visualization and Description of Industrial Clusters: A Case of the Textile Industry

Application of Social Network Analysis to Visualization and Description of Industrial Clusters: A Case of the Textile Industry

Corporate networking management based on the cost approach

Cluster analysis of food retailers in Russia

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