scholarly journals The Comparison of Innovative and Strategic Priorities of Small and Large Companies in Russian local production systems

2016 ◽  
Vol 2 (320) ◽  
Author(s):  
Svetlana Kuznetsova

Industrial companies are the core of the national innovation system. However, large, medium and small enterprises differ significantly in their role in the innovation system, resource potential, strategic priorities and objectives. The paper focuses on a comparative analysis of the strategic priorities of innovative activities of Russian companies of different size. We have identified three types of companies: small innovative companies, large and medium-sized companies with a traditional business model, major innovation-driven companies with an integrated business model. Our analysis of the trajectories of small innovative firms located in Novosibirsk Scientific Center showed that the majority of the companies can be characterized either as spin-off firm or as specialized supplier. Spin-offs are newly established small firms, who have recently separated from the major research labs or parent companies. The typical behavior model for such companies is innovative entrepreneurship. Specialized suppliers are small companies that provide significant contributions to complex manufacturing systems in the form of equipment, parts, tools and software. Innovative objectives of such small companies deal with design and production of the specific elements required for large companies. Large and medium-sized companies with a traditional business model are characterized by the existing structure of commodity output and the supply chain. Characteristic type of innovative behavior for such companies includes incremental product and process innovations. Large innovation-oriented companies with an integrated business model have traditional production units and innovative units in their structure. Innovation priorities of major innovation-oriented companies with integrated business model are consistent with the hybrid model of behavior which combines the traditional model with an innovative entrepreneurship.

2017 ◽  
Vol 14 (06) ◽  
pp. 1750038 ◽  
Author(s):  
Derya Findik ◽  
Berna Beyhan

This paper aims to introduce a qualitative indicator to measure innovation performance of Turkish firms by using firm-level data collected by Turkish Statistical Institute (TURKSTAT) in 2008 and 2009. We propose a new indicator to measure the innovation performance which is simply based on the perception of firms regarding to the impacts of innovation. In order to create performance indicators, we conduct a factor analysis to group the firms’ perceptions on the impacts of innovation. Factor analysis gives us product and process-oriented impacts of innovation. There are significant differences among product innovators, process innovators and firms engaged in both product and process innovations with respect to their perceptions on product and process-oriented impacts of innovation. Among these three groups, product- and process-oriented impacts provide a highest value for the firms that perform both product and process innovations. As far as the link between firm characteristics and the impact of innovation is considered, there is a significant difference between small and large firms with respect to their perceptions on product-oriented impact of innovation. While product-oriented impact is larger for small firms, large firms focus more on process-oriented impact. Anova results also indicate that perceptions on process-oriented impact significantly differ among exporter firms, domestic market-oriented firms and firms being active in internal and external markets. Process-oriented impact generates results in favor of exporting firms.


2018 ◽  
Vol 28 (5) ◽  
pp. 1521-1526
Author(s):  
Iva Bichurova

The paper clarifies the category of innovation potential with innovative and economic activities. The innovation potential is the ability of a system to derive from the research field innovations suitable for the practice. It is determined by the accumulated intellectual products, database, research infrastructure and other resources used to create, implement and offer innovations. The use of company and national innovation potential for the creation of modern technique, technology and organization of production are orienting production and farms to the specifics of the new economy. The innovation activity reports the dynamics and capabilities of the innovation system to power production with ready-to-use innovations. Business activity in the field of innovation characterizes the capabilities and flexibility of the production system with the resources available to perceive and assimilate innovations and offer them as products in the form of goods, services and technologies.The report justifies the selection of an innovation strategy based on an analysis of the company's innovation capabilities. They represent a set of distinct features of the company that facilitate and support its innovation activity. The purpose of such an analysis is to determine which are these key characteristics and to what extent the firm as a whole and its core business units possess them. The report also explores the basic criteria for assessing the company's innovation capability, the structure of the innovation process and the methodology of analysis of its product and process innovations.


Equilibrium ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 811-831
Author(s):  
Arkadiusz Świadek ◽  
Jadwiga Gorączkowska

Research background: Innovative economy and the business environment are important factors in the socio-economic development of a country. In a knowledge-based society, economic processes (especially innovation activity) require a specific stimulus. This stimulus can be provided by business support organization, which have been present in the Polish economy since the 1990s. Purpose of the article: The main goal of the article is to assess the system impact of business support organizations on cooperation in the area of new solutions (product and process innovations) in industry in Poland. Methods: The research method which was used in the analysis was logit modelling. Cooperation in the area of new solutions with the supplier, recipient and competitor was established as a dependent variable and business support organizations as independent variable. The analysis using logistic regression was based on comparison two groups of enterprises: those that were service recipients of support organizations and those that did not belong to this group. In this way, it was possible to determine if the use of BSO services increased the chances for innovative cooperation in industry. The survey was conducted in 2013?2017 among 6284 industrial enterprises. Findings & Value added: The survey showed that business support organizations significantly and systematically influence the establishment of innovative cooperation. Recipients of support organizations twice more often cooperated with suppliers and recipients than entities that did not. Stimulation of cooperation with competitors by BSO was weaker than it was in the case of suppliers and recipients. The conducted study provided information on the level of development of the national innovation system in catching-up countries on the example of Poland. It was pointed out that in economically weak territories, one should focus on stimulating innovative activity as such, while in the developed ones should be transferred to more advanced forms, i.e. innovative cooperation.


2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.


2005 ◽  
Vol 6 (4) ◽  
pp. 259-273 ◽  
Author(s):  
Robert Strohmeyer ◽  
Vartuhi Tonoyan

Analysing 1,055 female- and 2,207 male-owned businesses in Germany, the authors found that the former underperformed compared with the latter in terms of employment growth and firm innovativeness. Controlling for endogeneity, ie feedback effects between employment growth and innovation, it was demonstrated that the lower employment growth in women-owned businesses was mainly due to women's lower commitment to product and process innovations, a phenomenon that is referred to in this study as the ‘female–male innovation gap’. The female–male innovation gap apparently goes back to occupational sex segregation, with women populating occupations and choosing fields of study or apprenticeship training that are less technical or technology-oriented and thus less likely to provide them with important resources (eg technical know-how) and favourable conditions needed for the development and implementation of product and process innovations.


Author(s):  
Andrea Maria Zanchettin

AbstractMotivated by the increasing demand of mass customisation in production systems, this paper proposes a robust and adaptive scheduling and dispatching method for high-mix human-robot collaborative manufacturing facilities. Scheduling and dispatching rules are derived to optimally track the desired production within the mix, while handling uncertainty in job processing times. The sequencing policy is dynamically adjusted by online forecasting the throughput of the facility as a function of the scheduling and dispatching rules. Numerical verification experiments confirm the possibility to accurately track highly variable production requests, despite the uncertainty of the system.


2019 ◽  
Vol 109 (09) ◽  
pp. 662-666
Author(s):  
M. Chemnitz ◽  
O. Heimann ◽  
A. Vick

Die hohen Anforderungen an moderne Fertigungssysteme erfordern leistungsfähige Engineering-Lösungen. Wie man die Identifikation von Fehlerursachen in komplexen Anlagen erleichtert, wurde in einer Machbarkeitsstudie des Fraunhofer IPK im Auftrag von Siemens DI FA untersucht. In der vorgestellten Lösung werden die Daten der Anlage auf Feldbusebene erfasst und in den digitalen Zwilling eingespeist. So kann das Verhalten der Komponenten taktgenau nachvollzogen werden. Dies elaubt einen tiefen Einblick in das System und unterstützt so bei der Fehlerbehebung.   Powerful engineering tools are required to keep modern production systems manageable. Siemens DI FA and the Fraunhofer IPK present a novel tool for root cause analysis within complex manufacturing systems. The solution combines a CAx plant model with control data recorded from the field bus. This creates a comprehensive digital twin, allowing to analyse past machine behavior with bus clock resolution.


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