Search results

Foresight is frequently used to establish science and technology investment priorities and develop corresponding technology and innovation support programmes. In the light of technology and innovation policy, many individual Foresight studies are undertaken which are separate and little linked with the broader policy scope and ambition. This paper aims to look at an approach towards a consistent Foresight system which is linked closely to science, technology and innovation policy.

The paper provides an in-depth case study of the Russian Foresight system. The case study is based on desk research and extensive experience of the authors with the system.

Russia has developed a systematic approach towards organising Foresight which involves and serves multiple stakeholders, including government, ministries, federal and regional agencies, higher education institutions, public research institutes, state-owned companies and private businesses and a large range of associations. Under the auspicious of a dedicated commission, targeted Foresight is undertaken with clearly defined scope for each. The paper finds that the Russian system is unique in its organisational structure and in the integration of Foresight with science, technology and innovation policy measures.

The paper describes all facets of the Russian Foresight system which has not been done before. It also outlines the practical steps to further develop and leverage the system.

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.

The paper is conceptual with substantial desk research undertaken. A taxonomy of transfer channels is proved and levels of impact from STI proposed.

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.

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.

This paper aims to provide a detailed case study of a corporate foresight for innovation (CFI) project done by the Higher School of Economics’ (HSE) (Moscow, Russia) corporate foresight (CF) unit for a large state-owned Russian service company. It demonstrates how CFI methods lead to recommendations and how these recommendations result in decisions.

Drawing from being part of the project team, review of the project documents and interviews, the case describes a multi-phased CFI project which incorporated several CF methods. Techniques used for the project itself included grand challenges and trend analysis, analysis of best practices through use of benchmarking and horizon scanning, interviews, expert panels, wild card and weak signals analysis, cross impact analysis, SWOT and backcasting. The project used a broad-base of secondary information, expert panels consisting of company experts and HSE CF team personnel, interviews with senior management and an extensive literature review using HSE’s propriety iFORA system.

In all 17 CFI recommendation and over 100 implementation recommendations were made; 94 per cent of the CFI recommendations were accepted with most implemented at the time this case was written. The case also identifies five enabling factors that collectively both helped the CFI project and led to a high rate of recommendation acceptance and one factor that hindered CFI project success.

The case study provides detailed information and insight that can help others in conducting CF for innovation projects and establishes a link between CF methods and innovation-based recommendations and subsequent decisions.

In-depth case studies that show academe and practitioners how CFI leads to recommendations and is linked to subsequent decisions have been identified as a gap in the literature. This paper therefore seeks to address this need by presenting a detailed CF case for a corporate innovation project.

This paper aims to investigate three key factors (i.e. cognitive dimensions, the knowledge-driven approach and absorptive capacity) that are likely to determine the preference for informal inbound open innovation (OI) modes, through the lens of the OI model and knowledge-based view (KBV). The innovation literature has differentiated these collaborations into informal inbound OI entry modes and formal inbound OI modes, offering an advocative and conceptual view. However, empirical studies on these collaborations are still limited.

Building on the above-mentioned theoretical framework, the empirical research was performed in two stages. First, data were collected via a closed-ended questionnaire distributed to all the participants from the sample by e-mail. Second, to assess the hypotheses, structural equation modelling (SEM) via IBM® SPSS® Amos 20 was applied.

The empirical research was conducted on 175 small to medium enterprises in the United Kingdom, suggesting that the knowledge-driven approach is the strongest determinant, leading to a preference for informal inbound OI modes. The findings were obtained using SEM and are discussed in line with the theoretical framework.

Owing to the chosen context and sector of the empirical analysis, the research results may lack generalisability. Hence, new studies are proposed.

The paper includes implications for the development of informal inbound OI led by knowledge-driven approach.

This paper offers an empirical research to investigate knowledge-driven preferences in informal inbound OI modes.

Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance.

The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance.

Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations.

The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles.

The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

The main aim of this paper is to demonstrate that “volunteer” employees’ perception of dimensions of intellectual capital (IC) – human, structural and relation capital – creates a motivational environment to enhance knowledge-sharing intention (KSI) and stimulates “volunteer” employee engagement (VEE). The model is applied on the non-profit organizations (NPOs) sector that base their path on sharing values with volunteers and employees in relation to which they have to implement engagement strategies that are beneficial to both developing and deploying individual and organizational human capital.

To verify the existence of relationships between the constructs of IC, KSI and VEE a partial least squares structural equation model on a sample of 300 “volunteer” employees of NPOs was tested to verify the research hypotheses, as this could explain the causal relationships.

The results confirm that KSI is positively and directly influenced by the favourable environment resulting from the motivations below the dimensions of IC. The improvement of KSI, determined by IC, has a positive effect on VEE.

Despite the limitation created by the peculiarities of NPOs and the role of volunteers, this paper suggests a strategic approach that the management could implement to create an environment based on the exchange of knowledge and to increase engagement in the value co-creation process.

The ability of a company to adopt sharing strategies depends on the existence of an environment in which individuals are willing to exchange knowledge realizing mutual benefits. The work broadens this perspective by providing governance with a behavioural model that creates a direct relationship between IC, KSI and VEE.

Generally, there is a common sense to consider knowledge sharing and creation as two separate processes but a new matter emerges when those processes are intertwining. In this vein, this research aims to discuss on the lens of the open innovation (OI) model how such intertwining generates digital platform-based ecosystem.

The theoretical approach is used to largely discuss the intertwining of knowledge sharing and creation in the current digital era. It debates such scenario considering past and present studies and suggests future research streamlines.

It offers a new theoretical model that can be implemented in a micro, meso and macro level where the concept of “ba” (or ba-sho) assumes the form of a digital platform where knowledge sharing is in motion and dynamically interacts with the knowledge creation.

By discussing the intertwining of knowledge creation and sharing in OI context along with digital trends (e.g. platform innovation ecosystems and platform innovation management), the study offers a new conceptual framework that relies on such intertwining accompanied by the concept of “ba – sho.” In this vein, research limits and new research are suggested to demonstrate and support this conceptual study.

The purpose of this paper is to explore the composition of skillsets in biotechnology from the perspective of employers and its relation to open innovation processes in the sector. It provides conclusions for HR management practice.

The study is based on job advertisements content analysis and in-depth interviews with chiefs of research and development companies. It uses biotechnology as an example of industry where open innovation practice implementation is expanding. The authors have used data from American, British and Russian job search engines.

It is demonstrated that skills composition required in biotechnology does not vary significantly among selected countries as the market becomes increasingly globalized in terms of not only technology used but also personnel hired. Companies stress more on hard and digital skills, while soft skills appear to be a “must have without saying,” The mismatch between skills presented in the advertisements and articulated in the interviews has been found as employers tend to demonstrate innovation friendly company culture for possible applicants.

The present paper enriches literature on employee skills for open innovation. It gives comprehensive lists of biotech skills in-demand divided into hard, digital and soft categories and interprets them within the context of employee cognition and behavior. The new insight into employee skills articulated by the companies as a strong element of organizational culture is presented.