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.
Purpose – 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.
Design/methodology/approach – 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.
Findings – 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.
Research limitations/implications – Owing to the chosen context and sector of the empirical analysis, the research results may lack generalisability. Hence, new studies are proposed.
Practical implications – The paper includes implications for the development of informal inbound OI led by knowledge-driven approach.
Originality/value – This paper offers an empirical research to investigate knowledge-driven preferences in informal inbound OI modes.
This study investigates corporate success factors over the crisis period. We seek to advocate the idea that investments in intangibles allow a company to be better off, even if the markets go down. The hypothesis put forward in this paper was tested on a sample of more than 300 enterprises. These companies operate in developed and emerging European markets, and belong both to the traditional and innovative industries. The application of statistical tools allows ascertaining the robust significant link between companies’ investment decisions and their performance before and during the crisis of 2008-2009. This study contributes to empirical corporate finance as it provides the evidence that investments restriction is not the best response to the economic recession.
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.
Purpose – This paper aims to study the relationship between the knowledge exchanged during client interactions and innovation in knowledge-intensive business services (KIBS) enterprises. It adapts the concept of absorptive capacity, i.e. the ability of the firm to successfully deal with external knowledge, to the case of client knowledge being absorbed with the support of information and communication technologies and explores whether its three main dimensions (acquisition, assimilation and application of client knowledge) are significant enablers of KIBS’ innovation propensity. Design/methodology/approach – An empirical analysis is based on a dataset of 417 Russian KIBS companies collected in 2019 following the recommendations suggested in the new edition of Oslo Manual. To examine the relationship between the three-client knowledge absorptive capacity dimensions and implementation of different types of innovation by KIBS, the study applies linear ordinary least squares and logistic regression methods. Findings – The results show that acquisition of client knowledge through the wide number of digital channels, assimilation of such knowledge boosted by its codification through a digital customer relationship management (CRM) system and application of client knowledge across different functional areas are positively associated with both product and business process innovations in KIBS. Originality/value – The paper proposes that KIBS should develop and sustain the strong internal capacity to absorb knowledge through routine day-to-day client interactions as a part of their knowledge management systems. The results also indicate that application of digital communication tools and CRM systems are beneficial for KIBS and increases their propensity to innovate.
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.