Dynamic management model of innovations generations

Minakov, Vladimir F.; Lobanov, Oleg S.; Макарчук, Т. А.; Minakova, T E; Leonova, N. M.

doi:10.1109/scm.2017.7970743

Cited by 9 publications

(4 citation statements)

References 2 publications

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“…Taking into account the considered features of the information space development, it is advisable to develop a conceptual model of convergence using the entropy approach to knowledge management processed in converged regional information spaces. In particular, considering the structure of the information space of the executive bodies of state power in St. Petersburg, based on the number of modules in information systems based on the data of the State Information Systems of St. Petersburg [9], it is possible to identify groups of clusters of information systems with similar peculiarities, forming synergetic effects from interaction, which was shown in previous studies [3,4]. Thus, taking into account the applied entropy approach and taking into account (1) and (2), the specific entropy of the cluster, taking into account the synergetic effect in the convergence process, will be calculated as follows:…”

Section: Resultsmentioning

confidence: 99%

Convergence of Regional Information Spaces as a Factor of Global Digital Economy

Dyatlov¹,

Lobanov²

2019

Proceedings of the International Science and Technology Conference "FarEastСon" (ISCFEC 2019)

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The article reveals the peculiarities of convergence of regional information spaces in the global digital neural network economy. Introduced into scientific circulation the concept of "neural network information space" (NNIC) and the characteristic of its main elements. Principles of allocation subsystem clusters NNIC. The content of the concept "convergence of information spaces" is put into circulation and disclosed. Its functional role in the process of complex NNIC convergence is revealed. The necessity of transformation of the vector of information space development for transition to NNIC information space is substantiated. Grounded approach to the definition of synergy effect from the convergence of local and regional information spaces in the integrated information space of the NNIC. It is concluded that the transition to the complex information space NNIC includes the convergence of clusters of regional information spaces, contributing to the production of new specific neural network effects.

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Section: Resultsmentioning

confidence: 99%

Convergence of Regional Information Spaces as a Factor of Global Digital Economy

Dyatlov¹,

Lobanov²

2019

Proceedings of the International Science and Technology Conference "FarEastСon" (ISCFEC 2019)

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“…Following prior studies (Bang et al, 2016;Minakov et al, 2017), this study tests hypotheses based on the data of firms in the high-tech industries including telecommunications, radio and television and satellite transmission services, internet and related services and software and information technology services. The data was collected from China listed high-tech companies.…”

Section: Data Collectionmentioning

confidence: 99%

Customer Concentration and Exploratory Innovation: The Mediating Effect of Perceived Performance-Reducing Threats

Zhao

Wang

Wan

et al. 2021

Journal of Business Economics and Management

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A great deal of research attention has been devoted to studying the effects of customer concentration on firm strategic acts. Scholars have also investigated the relationship between customer concentration and firm innovation, but concluded inconsistent findings of such relationship. Furthermore, the underlying mechanism remains unclear. To address these concerns, this study decouples exploratory innovation from firm innovation and introduce performance-reducing threats perceived by the executives as the mediator. Based on the observations of China high-tech listed firms from 2011 to 2018, empirical results show that customer concentration has a U-shaped relationship with exploratory innovation, via the mediating effect of performance-reducing threats perceived by the executives.

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“…Since 2011, the need has arisen for the digital transformation of electronic information and educational environments of the universities related with the new stage of industrial development of the information society set forth in the concept of "Industry 4.0" and, as a result, the functional and structural changes in all processes of the educational institutions (Minakov et al, 2017).…”

Section: Introductionmentioning

confidence: 99%