Dynamics of firm's network community associations and firm's innovation performance |
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Authors: | Jingbei Wang Yanlu Zhang Yue Song |
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Affiliation: | School of Management, Northwestern Polytechnical University, Xi’an, People’s Republic of China |
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Abstract: | ABSTRACTR&D network structures have crucial impacts on firm's innovation performance. However, most previous studies have been based on the whole or ego network perspective, few studies have investigated the influence of community structure that a firm is engaged in on its innovation performance, and it is still unclear how a firm's relation to network community affect its innovation performance. This research aims to address this gap by focusing on the dynamics of firm's network community associations, empirically investigate the relationship between dynamics of firm's network community associations and its innovation performance. Based on the unbalanced panel data of smartphone R&D network during year 2004–2017, the results demonstrate that change in community member associations and movement across communities both have inverted-U-shaped effects on firm's innovation performance. Moreover, innovation openness depth has moderating effects on the relationships between dynamics of firm's network community associations and its innovation performance. |
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Keywords: | R& D network network community dynamics innovation performance |
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