ABSTRACT

Purpose: In this study, we explore the impacts of networking capability and its dimensions (i.e. impression management, network learning, finding, and managing) on network structure (i.e. size, diversity, flexibility), which eventually impacts commercialization performance (i.e. frequency, speed, radicalism, patents).

Methodology: To address the study objective, we collected data from 220 managers and empirically examined the relationships in the proposed model.

Findings: The results reveal that networking capability and its dimensions positively enhance firm commercialization performance. In addition, the mediating role of the business networks structure was also confirmed.

Research Implications: Research results indicate that commercialization performance is significantly enhanced by networking capabilities and network structure, which provide opportunities for sharing information and exchanging resources.

Practical Implications: First, our results indicate that networking capabilities contribute to the achievement of superior commercialization performance by renewing network structure, which, in turn, affects commercialization performance. Moreover, our study suggests that when networking capability is strong, the effect of network structure on commercialization performance could be higher. However, when networking capability is low, increase in network structure does not necessarily increase the effect of network structure on commercialization performance. On the contrary, improving network structure might negatively influence commercialization performance when networking capability is below certain levels. Therefore, firm actors can purposefully engage in the interactive networked activities that enable them to create the desired and favorable network structure in order to achieve the highest level of performance in the commercialization process.

Originality/Value: This paper makes a number of important contributions. First, through an in-depth study of existing literature on networking capability, we introduce the impression management capability and network learning capability as two dimensions of networking capability that have received less attention in the prior studies. In addition, this study contributes to the commercialization literature by analyzing whether networking capability and network structure help firms release new products efficiently and successfully which lead to enhance the overall performance.

摘要

目的：在本研究中，我们探讨网络功能及其规模（即印象管理，网络学习，查找和管理）对网络结构（即规模，多样性，灵活性）的影响，最终影响商业化性能（即频率，速度，激进主义，专利）。

方法：为解决研究目标，我们从220位管理人员中收集了数据，并通过实证研究了建议模型中的关系。

结果：结果表明，网络功能及其规模可以积极提高公司的商业化绩效。此外，还确认了业务网络结构的中介作用。

研究意义：研究结果表明，联网功能和网络结构显着提高了商业化性能，这为共享信息和交换资源提供了机会。

实际影响：首先，我们的结果表明，网络功能通过更新网络结构有助于实现卓越的商业化性能，进而影响商业化性能。而且，我们的研究表明，当联网能力强时，网络结构对商业化性能的影响可能会更高。但是，当组网能力较低时，网络结构的增加并不一定会增加网络结构对商业化性能的影响。相反，当网络能力低于一定水平时，改善网络结构可能会对商业化性能产生负面影响。所以，

原创性/价值：本文做出了许多重要贡献。首先，通过对现有网络能力文献的深入研究，我们介绍了印象管理能力和网络学习能力，这是网络能力的两个方面，在先前的研究中很少受到关注。此外，本研究通过分析网络功能和网络结构是否有助于企业有效而成功地发布新产品，从而提高整体性能，从而为商业化文献做出贡献。