Regional Foresight for Bridging National Science, Technology, and Innovation with Company Innovation: Experiences from Russia

Kindras, Alexey; Meissner, Dirk; Vishnevskiy, Konstantin

doi:10.1007/s13132-015-0296-x

Cited by 11 publications

(7 citation statements)

References 21 publications

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“…According to the published sources [22,23], the researchers during their foresight studies did not take into Table 1: Consumption and production of basic agrofood products in the non-Chernozem zone of the region over time, thousand tons. account the key factors and parameters reflecting the work of agricultural sector at the regional level.…”

Section: Discussionmentioning

confidence: 99%

“…A preforesight project was organized in the Republic of Sakha. In the Republic of Bashkortostan the formation of a foresight project in 2005 was primarily associated with the choice of innovative priorities and the development of a strategy for innovative development of the region [22][23][24]. e main work methods were critical technologies in combination with SWOT analysis, as well as focus groups formation and expert survey [25,26].…”

Section: Introductionmentioning

confidence: 99%

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Strategic Planning of Rural Development Based on Foresight Methodologies

et al. 2020

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The purpose of the study is to establish scientific rational for the use of the foresight methodology in the strategic planning of rural development. The scientific novelty of the study is determined by the development of an algorithm for strategic planning of rural development based on the foresight methodology and by the formation of a set of practical recommendations for the use of foresight tools at the municipal level of management in rural areas. The paper states that modern foresight methodology is quite flexible and multifaceted. It can be widely applied at different hierarchical levels of management. In our research, we consistently analyzed foresight projects and programs used in the rural management and development forecasting. The use of a systematic approach in combination with foresight technologies allows developing strategic plans for the rural areas development from the perspective of improvement of their economic and social component. The research presents the foresight algorithm of the rural development strategic planning and its implementation mechanism at the municipal level. The main components of the foresight testing procedure of the rural areas economic development were determined on the example of such a classic agricultural region of the Russian Federation as the Republic of Bashkortostan. The results of a comprehensive foresight analysis of alternative scenarios of the rural development have been formed. We summarized that the foresight technologies should be used as a system tool for the formation and implementation of the strategy of the sustainable rural areas development. The main results of the study include summarizing the experience of foresight studies on the rural areas development; design of an algorithm of strategic planning of the rural areas development based on the foresight methodology; the formation of alternative scenarios of the rural areas development at the regional level.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Strategic Planning of Rural Development Based on Foresight Methodologies

et al. 2020

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“…Concerning these critical areas of research, there has been work that has focused on Russia (e.g. Alnafrah and Mouselli 2017;Gershman and Kitova 2017; Golichenko and Malkova 2017;Kindras et al 2015), and this conceptual paper attempts to reconsider understandings of knowledge exchange. Thus, there is a need to consider a new look at the problem relevant to Russia and for the wider field of study.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Exchange and the Trust Institution: a New Look at the Problem

et al. 2019

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In the knowledge economy, the search and exchange of knowledge is widely recognized as a key factor contributing to the creation and mobilization of company's knowledge resources to maintain its competitive advantage. This study is devoted to identifying the role of interpersonal trust in the process of searching and sharing knowledge. Theoretical analysis shows that previously conducted studies in this research field primarily focus on revealing the relationship between interpersonal trust and willingness to use knowledge. This study is interested in willingness to establish contact between economic actors for the purpose of knowledge exchange, and this becomes important when discontinuities in innovation result from a lack of knowledge exchange and interaction between stakeholders. The effects of two different types of interpersonal trust (cognition-based trust and affect-based trust) surrounding willingness to share explicit and tacit knowledge between individuals is separately examined/tested. This analysis presents data obtained from surveying 295 employees from large organizations in Penza, Russia. To validate the survey, a confirmatory factor analysis using structural equation modeling helped verify advanced causal hypotheses. The hypotheses was tested using multiple correlation-regression analysis, and results reveal both types of interpersonal trust positively correlate with willingness to share both explicit and implicit knowledge. Willingness to share tacit knowledge influenced by affect-based trust between individuals is acknowledged in this study, while cognition-based trust is more significant in explaining willingness to share explicit knowledge. An argument from this study is the need to create favorable conditions within organizations to ensure the recognition of knowledge exchange without constraints.

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“…Eventually, the argumentation about Open Innovation as well as about Industry-Science relationships (ISR) -sometimes also called University -Industry Linkages (UI linkages), technology transfer (TT) or knowledge and technology transfer (KTT) -aims at generating value from science and technology (S&T) or in a broader understanding value from science, technology and innovation (STI), the latter extending S&T with innovation (I). Initially, it is assumed that STI generates economic value resulting from innovation which in turn is depending on the inputs from S&T (Kindras et al, 2014). However, a more profound consideration of the application of STI discloses more levels at which value is generated including the broad national level and the societal level.…”

Section: Introductionmentioning

confidence: 99%

Value generation from industry-science linkages in light of targeted open innovation

Meissner

Carayannis

2017

JKM

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Purpose This paper aims to provide a substantial overview of features and channels of knowledge and technology transfer in light of achieving impact from science and research. Design/methodology/approach The paper is conceptual with substantial desk research undertaken. A taxonomy of transfer channels is proved and levels of impact from STI proposed. Findings It is found that there are different levels of value generated from science, technology and innovation, each featuring different stakeholders with different agendas and expectations. It is argued that to make knowledge and technology transfer impactful and sustainable, a long-term and holistic view and approach is required. Originality/value Against most papers about technology and knowledge transfer, this work presents an overarching overview of objects, channels and features of partners involved in transfer. It is features technology and knowledge transfer from a holistic perspective and provides useful background for future empiric studies and impact assessments.

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Regional Foresight for Bridging National Science, Technology, and Innovation with Company Innovation: Experiences from Russia

Cited by 11 publications

References 21 publications

Strategic Planning of Rural Development Based on Foresight Methodologies

Strategic Planning of Rural Development Based on Foresight Methodologies

Knowledge Exchange and the Trust Institution: a New Look at the Problem

Value generation from industry-science linkages in light of targeted open innovation

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