SME Roles in Modular Value Chains: Perspectives for Growth and Innovativeness

Gancarczyk, Marta; Gancarczyk, Jacek; Bohatkiewicz, Joanna

doi:10.15678/eber.2017.050305

Cited by 4 publications

(3 citation statements)

References 74 publications

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“…Hierarchical relations between the dominant company and suppliers or distributors using its technology offer limited possibilities of innovation creation (Chesbrough, 2003;Humphrey & Schmitz, 2004;Lorentzen, 2008;de Propris, Menghinello, & Sugden, 2008;Wall & van der Knaap, 2011). Such an influence on the position of the company is exerted by "producer networks" where the leading company defines the conditions of production and supply and provides technology (Pavlínek, 2012;Rugraf, 2010;Sornn-Friese & Sørensen, 2005;Gancarczyk, Gancarczyk, & Bohatkiewicz, 2017). The work organisation in such cooperative relations is based on instructions, orders and prohibitions, unilateral technology transfer, limited decision-making possibilities and employee creativity (Lorenz, 2011).…”

Section: Discussionmentioning

confidence: 99%

Models for Development of an Innovation Network in Clusters

Gancarczyk¹,

Najda-Janoszka²

2020

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The purpose of this article is to present selected models for development of an innovation network in clusters from the perspective of network relations. Design/methodology/approach: The argumentation draws upon the literature on the concept of the network and on the results of research of other authors related to the activity of companies in clusters. Findings: Hierarchical relations between the dominant company and suppliers using its technology offer limited possibilities of innovation creation. Such an influence on the position of the company is exerted by "producer networks" where the leading company defines the conditions of production and supply and provides technology. Discovering new knowledge and creating innovation usually requires heterarchical relations where the power and decision-making process are decentralised and managerial competences and skills are balanced and dispersed among network participants. This case is represented by "buyer networks" where the leading company formulates expectations for product characteristics and the subcontractor responds to these requirements using its own development and design solutions. Research limitations/implications:The research is based on the theoretical literature on the concept of the network and on the results of empirical research of other authors related to the activity of companies in clusters. Originality/value: The article broadens the area of research in the field of cluster and network relations as well as indicates the possibility of using this knowledge in entrepreneurs' decisions.

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Section: Discussionmentioning

confidence: 99%

Models for Development of an Innovation Network in Clusters

Gancarczyk¹,

Najda-Janoszka²

2020

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“…This allows reducing costs for production changeover and limits investments specific for relations, even a buyer and a vendor may have very complicated relations. Information technologies and data interchange standards are keys for the module management functioning [3]. • Attitudinal chain.…”

Section: Cluster Progression: Theoretical Reviewmentioning

confidence: 99%

Promises for cluster progression: Russian automotive market outlook

Korostyshevskaya

Chudakov

2020

SHS Web Conf.

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Purpose of this article is to define the ability of Russian institutions to act as agents of change and innovation. Growing multi local economic activity stimulates innovative enterprises for cooperation with stakeholders. Usually, it means consumers, suppliers, authorities and government involvement in change processes. If achievement of interests balance is clear and transparent for all stakeholders, they will be change agents. Modern experience in streamlining social and economic relations between stakeholders focuses on the development of functional institutions that can act as agents of change. Forms of organization of such institutions can be clusters, technology parks, holdings, management companies, joint-stock companies, state-owned companies, manufacturers’ associations, marketing cooperatives, and professional communities. Research methods are statistics index analysis and network analysis. Working with these research methods, World Bank Input-Output Database, Federal Custom data, Rosstat data and law searching system we prove impossibility of full-fledged cluster policy implementation. Finally we prove that present Russian institutes are complacent and require more transparency. Consequently, cluster progression needs for common institutional space, supporting clear and transparent transactions between stakeholders, regardless of their location and technologies used.

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“…Knowledge-intensive and high-technology regional specialisations, as well as embedded relationships with the TNC branches can result in upgrading, growth and enhanced performance of local firms (Gorynia et al, 2007;Larimo & Arslan, 2013;Ivarsson & Alvstam, 2011;Lee & Saxenian, 2008;Kodama & Shibata, 2013;Simms & Trott, 2014;Yan, Chiang, & Chien, 2014). Higher technology manufacturing and service sector FDI might foster the growth and performance of local firms (Hart & McGuinness, 2003;Gancarczyk, Gancarczyk, & Bohatkiewicz, 2017).…”

Section: Proposition 32mentioning

confidence: 99%

The Performance of High-Growers and Regional Entrepreneurial Ecosystems: A Research Framework

Gancarczyk

2019

EBER

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A B S T R A C T Objective:The objective of this research is to elaborate a framework that explores the relationships between the performance of high-growth enterprises and the characteristics of regional entrepreneurial ecosystems (EEs). Research Design & Methods:This conceptual article adopts a multidimensional and profiling approach to the characteristics of EEs. The methodology is based on the combined narrative and systematic literature reviews. Findings: Five propositions as to the relationship between growth and performance of firms in the regional context, as well as to the impact of various regional profiles on the growth and profitability of firms were elaborated. The final outcome of this synthesis is a research framework. Implications & Recommendations:The implication of the proposed framework includes the development of testable hypotheses for further empirical investigation. The recommendation is to adopt a profiling method of assessing the effect of EEs.Contribution & Value Added: The research contributes by setting out a direction for empirical studies that would test the impact of EE profiles and result in their quantitative taxonomies. The value added consists in reflecting the heterogeneity of EEs and their output evaluation rather than input characteristics. Article type:conceptual article

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SME Roles in Modular Value Chains: Perspectives for Growth and Innovativeness

Cited by 4 publications

References 74 publications

Models for Development of an Innovation Network in Clusters

Models for Development of an Innovation Network in Clusters

Promises for cluster progression: Russian automotive market outlook

The Performance of High-Growers and Regional Entrepreneurial Ecosystems: A Research Framework

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