PANDA as a Startup-Orientated Cooperative Innovation Strategy for the Chemical and Pharmaceutical Industry

Generating innovations is one of the key success factors of companies and organizations. To constantly create new innovations, an effective innovation strategy must be implemented by companies. Therefore, a variation of different strategic frameworks has been formulated. One framework which combines the idea of Open Innovation with startup-based interaction is the startup-orientated cooperative innovation (SOCI) strategy. The PANDA initiative of Fresenius University of Applied Science can be characterized as a coupled process of the SOCI framework. This paper presents the results of a survey, analyzing the impact of PANDA on the innovation strategies of the chemical and pharmaceutical industry based on the innovation attributes defined by the Oslo Manual 2018. The survey was used to compare 12 PANDA project evaluations implementing by European chemical and pharmaceutical companies. The main results of this study show that PANDA represents an effective tool to foster early-stage innovation development and indicates general effectiveness of SOCI strategies for chemical and pharmaceutical companies.

Does social trust stimulate university technology transfer? Evidence from China

This paper examines the effect of social trust on university technology transfer. A large sample of Chinese universities from the 2007–2017 period was used. We find that social trust facilitates university technology transfer. The finding remain valid after a series of robustness. The mechanism test shows that social trust facilitates university technology transfer by improving the level of university-industry cooperative innovation. Our study suggests that social trust is an important factor that affects university technology transfer.

Neuroeconomic Decisions in Cocoa Producers: Impact of Cooperative Innovation Methodology on Prospecting for Fair Trade Organic Niche as an Incentive for Agricultural Sustainability

This article focuses on analyzing the neuroeconomic decisions in cocoa producers and the impact of this methodology on the productivity of fair trade organic cocoa producers on the population of Nuevo Bambamarca, province of Tocache, Peru. The main elements of the methodology are the incentive phase of associativity, the alignment phase to macro trends, the prospecting phase of the country to be exported to, the prospecting phase of the type of niche market, the prospecting phase of fair participation, the innovation and design phase of the prototype, the standardization phase of the raw material technical specifications for collection, the strengthening phase the producer’s commitment, the learning phase of the producer in crop management, and the evaluation phase of productivity in the field. This research study is pre-experimental, cross-sectional, explanatory, and descriptive. The experimental group made up of 20 fair trade organic cocoa producers of the Cooperativa Agroindustrial Naranjillo obtained on average a profitability of 143 EUR per campaign higher than the control group made up of 20 producers of conventional cocoa that did not belong to the cooperative who obtained a loss of −642 EUR per campaign, even with the same purchase price of 1.92 EUR per kg for both cases during the 2011 campaign. It is concluded that Hypothesis 1 is met, it shows that the cooperative innovation methodology of prospecting for fair trade organic niche encourages the productivity of producers of the experimental group with respect to the control group.

Open innovation antecedents and its consequences on commercialization performance in small and medium-sized enterprises

Purpose This paper aims to investigate the impact of the factors affecting open innovation (OI) intensity, in terms of three components of cooperative innovation, resource search and external research and development (R&D), as well as the impact of OI intensity on commercialization performance in small and medium-sized enterprises. Design/methodology/approach The data obtained from the distributed questionnaire among small and medium-sized enterprises (SMEs) from Isfahan Science and Technology Town (ISTT) in Iran, was analyzed using inferential and parametric statistics to examine the research hypotheses. In this analysis, structural equation tests were used to confirm or reject the research hypotheses using Smart PLS software. Findings The results indicate that all three OI components influence commercialization in technology-based firms of ISTT, while the most important one is cooperative innovation. Among the factors affecting OI components, innovative incentives are the most effective one that increases both external R&D and cooperative innovation. Facilitators and limitations of open innovation are also affecting OI intensity, with lower priorities. Practical implications Science park managers and policymakers should lay the ground for enhancing the cooperation intensity among firms. Cooperation intensity is the most effective open innovation component to improve commercialization performance. Originality/value Open innovation antecedents and its consequence on commercialization performance have been investigated for the same time in SMEs of a science park.

How Do Innovation Network Structures Affect Knowledge Sharing? A Simulation Analysis of Complex Networks

Knowledge has become an important resource that can help enterprises gain a competitive advantage in the market. In this regard, knowledge sharing in the process of cooperative innovation provides an important way to acquire knowledge. With the development of innovation, the innovation network has become an important carrier of knowledge sharing, which can also have an influence on knowledge sharing. Based on knowledge management theory and complex network theory, this study constructed a multilayer network environment for knowledge sharing. It then identified the network elements and knowledge-sharing paths that influence knowledge sharing from microperspectives and macroperspectives. On this basis, the effects of node cohesion and weak connection on knowledge sharing in small-world and scale-free topologies were analyzed by computer simulation. The results showed that, in an innovation network with a scale-free topology, cohesion and weak ties had a great influence on the average knowledge level and knowledge equilibrium. Meanwhile, in small-world topological innovation networks, a mixed path had the best promotion effect on network knowledge sharing.

How cooperative innovation could be more effective in China: a relationship perspective

Purpose Considering strategic information sharing (SIS), this paper aims to develop a better understanding of how relation-specific investments (RSIs) influence cooperative innovation performance (CIP) in downstream channel relationships. This paper also examined that the moderating effect of relational trust in the indigenous practice of guanxi is especially critical in China. Design/methodology/approach Data were collected through a questionnaire in Chinese high-tech industries, with a valid response from 310 companies. A hierarchical regression analysis was used to test the conceptual model and hypotheses, combining mediation and moderation analysis. Findings Results show that the influences of specific investments vary according to the specificity dimensions examined. Specifically, human RSI influences CIP and SIS most significantly, and the impact of procedural RSI is, relatively, the weakest. Relational trust’s moderating role is confirmed, and SIS plays a partially mediating role in enhancing vertical cooperative innovation. Practical implications Managers should know clearly different roles of RSIs in inter-firm cooperative innovation and prioritize human RSI and brand RSI when investing into channels. More importantly, the findings reveal that strategy-level information sharing should be valued more. It is also recommended that relational ties are vital, especially in Chinese business context. Originality/value To the best of the authors’ knowledge, this paper is among the first few to investigate how the effects of disaggregated RSIs in inter-firm cooperative innovation vary and the importance of SIS in vertical relationships. The results provide insightful guidance for researchers and managers in how to better manage RSIs to improve CIP.