N′-[6-(3,5-Dimethyl-1H-pyrazol-1-yl)-1,2,4,5-tetra­zin-3-yl]butano­hydrazide

In the title compound, C11H16N8O, the tetra­zine and pyrazole rings form a dihedral angle of 48.75 (2)°. In the crystal, N—H⋯O and N—H⋯N hydrogen bonds link the mol­ecules into layers parallel to (101)

How Coopetition Affects Knowledge Recombinant Capabilities:Toward a Network Perspective

Focusing on the direct ties between coopetitors (i.e., direct coopetition network), the extant coopetition research ignores the potential impact of a firm’s indirect connections with other competitors from the same industry via its coopetitors (i.e., indirect coopetition network). We advance coopetition research by comparing the impacts of direct and indirect coopetition networks on a focal firm’s knowledge recombinant capabilities. Moreover, we consider how these impacts are contingent on the structures of a focal firm’s internal collaboration network (CN) and internal technology network (TN). By using a large-scale panel data set from the global solar photovoltaic industry between 1995 and 2015, we find that the size of direct coopetition network has an inverted-U shaped relationship with knowledge recombinant capabilities, while the size of indirect coopetition network negative influences recombinant capabilities. We further find that, when a firm’s internal CN small-world quotient increases, the inverted U-shaped relationship between direct coopetition network and knowledge recombinant capabilities is flattening and the turning point moves to the right; and the relationship between indirect coopetition network and knowledge recombinant capabilities becomes less negative. Interestingly, a firm’s internal TN small-world quotient exerts the opposite moderating effects on the inverted U-shaped relationship between direct coopetition network and knowledge recombinant capabilities, making it steepening and the tuning point moves to the left. Together, these findings contribute to a network perspective on coopetition that acknowledges the impacts of both direct and indirect coopetitors and their interaction with internal network structures

Developing Knowledge Absorptive Capacity of SMEs in China

Small and medium-sized enterpreises (SMEs) are a crucial driver of the fast growing Chinese economy. This study aims to investigate how the external structures influence SMEs’ knowledge absorptive capacity for competence enhancement and performance improvement. Taking the “structure-conduct-performance” paradigm as an overarching framework, this research extends and enriches this framework by integrating social networking theory and absorptive capacity theory into it. More specific, we partition the “structure” into environmental structure and social network structure outside of a focal firm, and specify the “conduct” as knowledge absorptive capacity development including knowledge acquisition and transformation. To verify our research model, a survey method is employed involving 77 SMEs from China. The results show the distinct roles of environmental hostility, customer network ties, and knowledge absorptive capacities on SMEs’ performance. Theoretical contributions and managerial implications are also discussed

Anomaly Discovery and Arbitrage Trading

Our model of anomaly discovery has implications for both asset prices and arbitrageurs\u27 trading. Consistent with existing evidence, the discovery of an anomaly reduces its magnitude. Our evidence based on 99 anomalies is consistent with new predictions that the discovery of an anomaly reduces the correlation between the returns its deciles 1 and 10, leading to diversification benefits for passive investors. These effects become linked to the aggregate trading of hedge funds only after discovery. Hedge funds increase (reverse) their positions in exploiting anomalies when their aggregate wealth increases (decreases), further suggesting that these discovery effects operate through arbitrage trading