Innovation and Performance: An Empirical Study of Russian Industrial Companies

Трачук, А. В.; Линдер, Н. В.

doi:10.1142/s021987701850027x

Cited by 27 publications

(14 citation statements)

References 32 publications

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“…Other interesting findings were obtained by A. Trachuk & N. Linder (2018), as they noted that innovative investments enhance the performance of industrial companies within range of 0.03 to 0.16, depending on the volume of investment in R&D [24].…”

Section: Brief Literature Reviewmentioning

confidence: 77%

Use of system dynamics tools in value-oriented approach in management

Barabanova¹,

Lebedeva²,

Rastova³

et al. 2018

EA-XXI

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The article is based upon assumption that in search for best sustainability any organization is leaning towards the value-oriented approach in management. This approach is grounded in the stakeholder theory, and addresses needs and expectations of consumers and other stakeholders on a long-term basis. When contributing to the best practices, companies produce shared values, able to act as a social power, to enter into the public consciousness, and to transform into behavioural norms. At the same time, these practices support best handling of resources and opportunities thus leading companies to success. The system dynamics model presents enterprises with potential strategies grounded in the target indicators, provides objective assessment of the target indicators sensitivity to changes at one or several parameters, sets and corrects their controllable limits, identifies specific causes of variation and, thus, insures necessary adjustments to the business management. Today, the system dynamics modelling is supported with mathematical software: Maple, MathCAD, Maxima, AnyLogic, Vensim, iThink (computer experiments software). In our research, we support the idea to develop methodology and improve practices of value-oriented approach in organization management based upon key tools of process efficiency, i.e. the system dynamics model. To build a system model and to run simulation analysis, we used AnyLogic software system. In this research, system dynamics model is tested against the case of supply chain management in the food industries, which include production facilities of high seasonal demand and products distribution network. To meet volatile demand, the company keeps certain stock of products in the chain of regional warehouses, and shipping the products as soon as new order is received. The market conditions and customer requirements are such that if the products cannot be shipped to the customer on time, then they buy these products from other sources. the system works steadily and does not require adjustments. Minor fluctuations in demand also do not break the system's balance. The system works steadily and does not require adjustments. Minor fluctuations in demand also do not break the system's balance. Simulation of seasonal demand increase (40% seasonal upsurge) proved the rate of new production shifts is almost twice higher than that of demand and two times smaller than the production cycle length. The experiment draws us to the following conclusions. The first response to increased demand is the shrink of stocks due to the delivery delays because of the duration of production cycle. A natural reaction of the company to such sharp reduction in stocks is striving for extreme intensification in reply to the demand upsurge. This causes a multiplicative effect. Since the stocks are initially shrinking, the only way to meet such shortfall is to raise the production rate above the shipments rate. The production shall exceed the shipments rate by sufficiently in volume and time to replenish the stocks in full....

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Section: Brief Literature Reviewmentioning

confidence: 77%

Use of system dynamics tools in value-oriented approach in management

Barabanova¹,

Lebedeva²,

Rastova³

et al. 2018

EA-XXI

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show abstract

“…The present study categorized innovation into two, product and process innovation, and thereby strategies of innovation are divided into four: product and process-oriented, product-oriented, process-oriented, and non-oriented innovation. Unlike the classification of innovation strategies in this study, however, recent studies have determined that various factors may affect innovation performance, which could also be categorized as different innovation strategies depending on how innovation supportive factors are exploited, such as collaboration, trust, commitment, conscientiousness, agreeableness, and innovation investment [60][61][62][63][64][65][66].…”

Section: Discussionmentioning

confidence: 99%

“…Second, the possibility that innovation in the chemical industry could be shifted from closed to open innovation was also presented [59]. Finally, the introduction of the factors that positively affect innovation could not only expand the discussion on sophisticated innovation strategy but also broaden its discussion in terms of innovation efficiency [60][61][62][63][64][65][66].…”

Section: Discussionmentioning

confidence: 99%

What Is the Right Innovation Type for Your Industry? Evidence from Chemical Firms in Korea

et al. 2019

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The literature has two different perspectives on which innovation types should be implemented to achieve innovation performance; some argue that they should pursue process-oriented innovation, while others maintain that both product- and process-oriented innovation should be performed. Though innovation efficiency should be measured, which takes both input and output variables into account, the research so far has been measured only with the performance of the innovation. Accordingly, this study identifies which innovation type is the most advantageous in terms of innovation efficiency for the chemical firms. We use data of 64 Korean chemical companies from a 2016 Korean innovation survey and perform data envelopment analysis to calculate innovation efficiency. Kruskal–Wallis one-way ANOVA and bootstrap DEA were also conducted to compare the difference of innovation efficiency among groups, depending on which innovation types are oriented. The result shows that focusing on process innovation rather than both product and process innovation is more appropriate to achieve higher innovation efficiency, and pursuing process innovation rather than product innovation tends to achieving a higher level of innovation efficiency in the Korean chemical industry.

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“…A multifaceted approach to the integration of internal factors (internal capabilities) and external partners should be expanded as the basis for external information. There is a need for continuous interaction, which entails interactive processes of mutual learning with feedback, which is also transmitted from the end user to partners [Trachuk, Linder, 2018]. In addition, entrepreneurs should promote the creation of new tools to measure the degree of openness of innovation through the use of knowledge and ideas of external partners.…”

Section: Open Innovation Paradigm In Different Industriesmentioning

confidence: 99%

Open Innovation Theory: Definition, Instruments, Frameworks

Орлова

2020

Strategicheskie resheniya i risk-menedzhment

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Today flexibility is becoming one of the most important capability in business, because the product life cycle is reduced, the external environment of organizations is constantly changing, technologies are improving every day. In such circumstances, companies cannot afford to develop technologies exclusively in R&D departments in their companies; this is unproductive, inefficient and expensive. Companies "opened" their innovation processes to improve their innovation potential. The relevance of this work is due to the great interest of both the scientific community and practitioners in the instruments and strategies needed for successful adoption of the theory of open innovation. The objective of this study is to provide a comprehensive review of the progress on open innovation literature reflecting the most essential topics to be covered in future research. This survey study makes a significant contribution to the research of the open innovation theory. The article offers a detailed overview of the various views and studies related to this topic. The evolution in the field of research of open innovation theory is presented here. The article is structured as follows: the link between open innovation and other theories in management, the adoption of open innovation paradigm in different industries, the influence of adopting the open innovation theory on the business, criticism of the open innovation theory, researches studying open innovation theory conducted in Russia, classification of frameworks in the open innovation theory. This article describes the state of open innovation at the intersection of research, practice, and policy.In addition, this work focuses on the most cited publications of the most cited scientists, as well as on the work of the last two to three years.We combinebibliographic analysis of all papers on the topic published in Scopus database witha systematic content analysis of the field to develop a deeper understanding of earlier work.

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Innovation and Performance: An Empirical Study of Russian Industrial Companies

Cited by 27 publications

References 32 publications

Use of system dynamics tools in value-oriented approach in management

Use of system dynamics tools in value-oriented approach in management

What Is the Right Innovation Type for Your Industry? Evidence from Chemical Firms in Korea

Open Innovation Theory: Definition, Instruments, Frameworks

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