Purpose Cognition, conflict and cohesion constitute an inseparable body of group dynamics in entrepreneurial teams. There have been few studies of how entrepreneurial team members interact with each other to enhance venture performance. The purpose of this paper is to develop and test a model that explains the trinity of cognition, conflict and cohesion in terms of social interaction between entrepreneurial team members. Design/methodology/approach Drawing upon the existing literature concerning entrepreneurial teams, the hypothesized model posits that shared cognition influences team cohesion through the mediating effects of intra-team conflicts. The model also postulates that team cohesion is positively associated with new venture performance and entrepreneurial satisfaction. Structural equation modeling is used to test the hypothesized model, using data that were collected from 203 entrepreneurial teams from technology-based companies in Taiwan. Findings The results show that shared cognition in entrepreneurial team members maintains team cohesion by restraining conflict and that team cohesion has a positive influence on entrepreneurial members’ satisfaction and new venture profitability. Practical implications The leader of a new venture team must endeavor to improve shared cognition between entrepreneurial members. To strengthen shared cognition, the leader can hold formal workshops to build consensus, informal meetings to share views, or use social media to enhance common understanding. Originality/value This paper verifies the connections between shared cognition, conflicts and cohesion in entrepreneurial teams in predicting new venture success and highlights the importance of cultivating a shared cognition in an entrepreneurial team to manage conflicts.

We present a coupler-free, multi-mode refractive index sensor based on nanostructured split ring resonators (SRRs). The fabricated SRR structures exhibit multiple reflectance peaks, whose spectral positions are sensitive to local dielectric environment and can be quantitatively described by our standing-wave plasmonic resonance model, providing a design rule for this multi-mode refractive-index (MMRI) sensor. We further manifest that the lower-order modes possess greater sensitivity associated with stronger localized electromagnetic field leading to shorter detection lengths within five hundreds nanometers, while the higher-order modes present mediate sensitivity with micron-scale detection lengths to allow intracellular bio-events detection. These unique merits enable the SRR-based sensor a multi-functional biosensor and a potential label-free imaging device.

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