The Influence Mechanism of Team Emotional Climate on Team Innovation Performance

2013 ◽  
Vol 44 (4) ◽  
pp. 546-557
Author(s):  
Xiao-Yu LIU ◽  
Jun LIU
Keyword(s):  
Innovation Performance ◽  
Emotional Climate ◽  
Team Innovation ◽  
Influence Mechanism

scholarly journals How to Solve the Time Dilemma? The Influence of Team Temporal Leadership on Team Innovation Performance

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhengqiao Liu ◽  
Xiliang Liu ◽  
Xianchun Zhang
Keyword(s):  
Time Pressure ◽  
Positive Impact ◽  
Innovation Performance ◽  
Third Wave ◽  
Promoting Effect ◽  
Team Innovation ◽  
Mediating Role ◽  
Second Stage ◽  
Influence Mechanism ◽  
The Relationship

Time pressure (TP) is the most common kind of pressure faced by R&D teams. How to improve team innovation performance (TIP) when time resources are insufficient has been a concern of practitioners and scholars. The purpose of this paper is to put forward some suggestions to solve that time dilemma. We conducted a survey based on a sample of 163 teams. In the first-stage survey (time 1), we measured the team temporal leadership (TTL) and TP. In the second-stage survey (time 2), we measured team learning behavior (TLB). TIP was measured in the third-wave survey (time 3). The results are as follows: (i) TTL has a significant positive impact on the TLB and TIP; (ii) TLB plays a mediating role in the relationship between TTL and TIP; and (iii) TP can positively moderate the relationship between TTL and TLB, that is, the promoting effect of TTL on TLB is more pronounced under the higher level of TP. These findings reveal the influence mechanism of TTL on TIP from the perspective of TLB and TP.

scholarly journals Research on the Influence Mechanism and Configuration Path of Network Relationship Characteristics on SMEs’ Innovation—The Mediating Effect of Supply Chain Dynamic Capability and the Moderating Effect of Geographical Proximity

2021 ◽  
Vol 13 (17) ◽  
pp. 9919
Author(s):  
Hongxiong Yang ◽  
Wanru Ren
Keyword(s):  
Supply Chain ◽  
Qualitative Comparative Analysis ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Dynamic Capability ◽  
Geographical Proximity ◽  
Dominant Type ◽  
Influence Mechanism ◽  
Chain Dynamic ◽  
Network Relationship

Innovation is the continuous source of power for the survival and development of SMEs, but the complexity of innovation and the limitation of resources make SMEs trapped in the dilemma of “innovation difficulty”. A moderated mediating model was constructed based on social network theory and resource view, and fuzzy set qualitative comparative analysis (fsQCA) was used to empirically study the influence mechanism between network relationship characteristics and SMEs’ innovation and the configuration path to achieve SMEs’ high innovation performance. The results show that the characteristics of network relationships positively affect the innovation performance of SMEs. Supply chain dynamic capability plays an intermediary role between network relationships and SMEs’ innovation relationships. Different geographical proximity levels of the supply chain lead to different coordination interaction and knowledge sharing efficiency between upstream and downstream, which not only positively moderates the relationship between supply chain dynamic capability and SMEs’ innovation performance, but also moderates its mediating effect. Furthermore, the fs QCA analysis results show three configurations for SMEs’ high innovation performance based on the characteristics of network relations: geographic proximity regulating type, network relationship dominant type, and dynamic coordination and integration type.

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