• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Research in Marketing >The effect of social networks structure on innovation performance: A review and directions for research
【24h】

The effect of social networks structure on innovation performance: A review and directions for research

机译：社交网络结构对创新绩效的影响：回顾与研究方向

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's characteristics. In this paper, we critically review this branch of literature. We argue that the growth of an innovation in a social network is shaped by the network's structure. Borrowing from the field of industrial organization in economics, which defines itself as the study of the effect of market structure on market performance, we describe this new wave of research on growth of innovations as the effect of social network structure on innovation performance. Hence, social network structural characteristics should be incorporated into research on new product growth as well as into managerial marketing decisions such as targeting and new product seeding.We review how social network structure influences innovations' market performance. Specifically, we discuss (1) a networks' global characteristics, namely average degree, degree distribution, clustering, and degree assortativity; (2) dyadic characteristics, or the relationships between pairs of network members, namely tie strength and embeddedness; (3) intrinsic individual characteristics, namely opinion leadership and susceptibility; and (4) location-based individual characteristics, namely the degree centrality, closeness centrality, and betweenness centrality of an individual network member.Overall, we find that growth is particularly effective in networks that demonstrate the "3 Cs": cohesion (strong mutual influence among its members), connectedness (high number of ties), and conciseness (low redundancy). We identify gaps in current knowledge, discuss the implications on managerial decision making, and suggest topics for future research. (C) 2018 The Authors. Published by Elsevier B.V.
机译：对引入市场的创新增长的研究已逐渐将其重点从聚集级别的扩散转向探索给定社会网络结构的特征如何影响增长。在本文中，我们批判性地回顾了这一文学分支。我们认为，社交网络中创新的增长是由网络的结构决定的。从经济学中的产业组织领域借用，其定义为对市场结构对市场绩效的影响的研究，我们将这种关于创新增长的新研究浪潮描述为社会网络结构对创新绩效的影响。因此，应将社交网络结构特征纳入新产品增长研究以及管理性营销决策（如目标定位和新产品播种）中。我们回顾了社交网络结构如何影响创新的市场绩效。具体来说，我们讨论（1）网络的全局特征，即平均程度，程度分布，聚类和程度分类； （2）二元特征，或成对网络成员之间的关系，即联系强度和嵌入性； （3）内在的个人特征，即意见领导和易感性； （4）基于位置的个体特征，即单个网络成员的度中心性，紧密性中心性和中间性中心性。总的来说，我们发现增长在展示“ 3 Cs”的网络中特别有效：成员之间的相互影响力很强），连接性（关系数高）和简洁性（冗余度低）。我们确定当前知识的差距，讨论对管理决策的影响，并为将来的研究提出建议。 （C）2018作者。由Elsevier B.V.发布

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号