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The paper looks at cooperation models for science, technology, and innovation with clear aims at delivering value and progress in these fields. Such cooperation models have been established in various forms in many countries. One special form of cooperation is the public-private partnership which also comes in many different forms. The article is based on the analysis of 20 public-private partnerships located in Austria, Australia, Belgium, Germany, Ireland, Japan, New Zealand, Sweden, and The Netherlands. Public-private partnerships for science, technology, and innovation have various institutional and organizational models. The common central issue of all different models is an interdisciplinary management committee consisting of both academic and industrial representatives which is responsible for the alignment of all partners’ interests. In addition, public-private partnerships need carefully developed strategies and well-thought-out contractual basis in line with respective stakeholder communication. Frequently, public-private partnerships are established by a small number of partners but extended at later development stages requiring a seamless and transparent partner selection procedure. Equally important is a sustainable financial agreement which allows mid-term and long-term work by the public-private partnerships. Moreover, in the course of globalization, the regulatory requirements for public-private partnerships in countries and regions are becoming increasingly important. Therefore, in addition to statutory regulations, human resources, scientific excellence, and infrastructure are important determinants for locations which aim at providing attractive framework conditions for public-private partnerships. Finally, it must be noted that two different research cultures meet in public-private partnerships: Synergies have to be found between basic academic research and applied industrial research, and they have to be used for mutual added value. Before establishing public-private partnerships formally, particular attention must be paid to so-called competing values. These must be regulated in a contract, and transparent control and sanction mechanisms must be introduced. In so doing, the mistrust associated with divergent interests (for example in relation to intellectual property rights) can be effectively prevented from the outset.

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

Arabidopsis harbors four UDP-glycosyltransferases that convert hydroxycinnamates (HCAs) to 1-O-β-glucose esters, UGT84A1 (encoded by At4g15480), UGT84A2 (At3g21560), UGT84A3 (At4g15490), and UGT84A4 (At4g15500). To elucidate the role of the individual UGT84A enzymes in planta we analyzed gene expression, UGT activities and accumulation of phenylpropanoids in Arabidopsis wild type plants, ugt mutants and overexpressing lines. Individual ugt84A null alleles did not significantly reduce the gross metabolic flux to the accumulating compounds sinapoylcholine (sinapine) in seeds and sinapoylmalate in leaves. For the ugt84A2 mutant, LC/MS analysis revealed minor qualitative and quantitative changes of several HCA choline esters and of disinapoylspermidine in seeds. Overexpression of individual UGT84A genes caused increased enzyme activities but failed to produce significant changes in the pattern of accumulating HCA esters. For UGT84A3, our data tentatively suggest an impact on cell wall-associated 4-coumarate. Exposure of plants to enhanced UV-B radiation induced the UGT84A-encoding genes and led to a transient increase in sinapoylglucose and sinapoylmalate concentrations.

This research aims at addressing the factors that constrain the flow of knowledge between universities and industry when these players are embedded in peripheral contexts. A multiple-case study was carried out in order to describe and understand the limitations of universities as agents of innovation in peripheral ecosystems. Twenty-two semi-structured interviews were conducted with the coordinators of five Technological Innovation Centers (entities equivalent to TTO) of all Federal Institutes (five) located in the State of Minas Gerais, Brazil. The findings show that there are constraining elements associated with the socioeconomic environment (the lack of economic dynamism and low absorptive capacity at firms), with universities (a lack of infrastructure, resources, and available researchers) and intermediary agents (the lack of staff and institutional legitimacy). The observed conditions lead to challenges in fostering dense knowledge flows, thus perpetuating regional economic asymmetries and hindering the institutional evolution of academic institutions toward the notion of entrepreneurial universities. Our research contributes to literature by addressing in detail the limitations of universities in spurring dense innovation networks in laggard ecosystems. Instead, more complex co-evolutionary processes seem to be at play – and “silver bullet” policies are likely to offer disappointing results.

Approaches to innovation have been thoroughly studied in the last decades. It’s well understood that an organizations’ culture is among the crucial factors for success and renewal of organizations. Yet culture is made by people and their attitudes. Innovation culture requires skills and competence by employees which are presumably beyond the traditional basic knowledge taught at undergraduate, graduate and post graduate level. This is even more evident for university graduates who’re mainly finding professional careers in the private sector who has special requirements to employees. Graduates’ skills are strongly influenced by curricula and the cultural values and norms outside curricula transferred by universities to students. But frequently these skills are designed by universities without profound knowledge of the actual skills required. At the same time organizations acting as potential graduates employers value researcher skills and competencies differently from how these are perceived. The paper suggests that understanding the professional and universal skills of researchers perceived and needed is one element of innovation culture. Thereby the skills in discussion go beyond purely academic skills only; instead it is proposed that skills which increase the absorptive capacity of companies are crucial for implementing effective productive innovation management.

The “policy mix” concept has gained popularity among science, technology and innovation policy communities over the past two decades in a context of growing policy complexity and need for policy evidence. Pressing societal challenges are also prompting governments to rethink policy making in order to better align public intervention across policy domains and leverage the transformative potential of system innovations. Governments faced multiple obstacles in implementing a policy mix approach in policy making and evaluation. Based on a comparative analysis of international STI policy repositories, a conceptual framework is proposed, as well as structuring principles and operational guidelines for mapping the composition of a policy mix, identifying interactions among components and translating the mapping into measurement. In that view, a range of new policy mix metrics is introduced. Finally, the discussion focuses on the need for moving towards a new data management paradigm and enlarging the measurement mix.

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 paper introduces the evolving understanding and conceptualization of innovation process models. We categorize the different approaches to understand and model innovation processes into two types. First, the so-called innovation management approach focuses on the evolution of corporate innovation management strategies in different social and economic environments. The second type is the conceptual approach which analyses the evolution of innovation models themselves as well as the models' theoretical backgrounds and requirements. The focus in this second approach is the advantages and disadvantages of different innovation models in how far they can describe the reality of innovation processes. The paper focuses on the advantages and disadvantages as well as the potential and limitations of the approaches. It also proposes potential future developments of innovation models as well as the analysis of the driving forces that underlie the evolution of innovation models. The article concludes that the predominant open innovation paradigm requires rethinking and further development towards an \"active innovation\" paradigm.

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

PurposeThe 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.Design/methodology/approachTo 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.FindingsThe 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.Research limitations/implicationsDespite 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.Originality/valueThe 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.