Scholarlink

<p>In recent years, researchers have found that knowledge ties are effective channels for knowledge externalities in clusters, but few empirical studies have examined the dynamics of these mechanisms. This study aims to fill the gap by providing empirical evidence about the driving forces of local knowledge ties in an industrial cluster with an engineering-based knowledge. Using micro-level data from the cluster and relational data through the roster-recall methodology, we test and develop an exponential random graph model and empirically test nodal, dyadic, and structural characteristics patterns. We find that different types of knowledge ties between firms are formed and developed under the influence of various factors (firm, dyadic, structural level). Our findings not only contribute to a more complete understanding of knowledge flow in cluster contexts but also advance with some suggestions for firms, industrial clusters and regional policy.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Formation of multiple local knowledge ties in an engineered-based cluster in developing regions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月23日

查看全文
  • Safora Allahy,
  • Reza Naghizadeh,
  • Saeed Shavalpour,
  • João J. Ferreira

摘要

In recent years, researchers have found that knowledge ties are effective channels for knowledge externalities in clusters, but few empirical studies have examined the dynamics of these mechanisms. This study aims to fill the gap by providing empirical evidence about the driving forces of local knowledge ties in an industrial cluster with an engineering-based knowledge. Using micro-level data from the cluster and relational data through the roster-recall methodology, we test and develop an exponential random graph model and empirically test nodal, dyadic, and structural characteristics patterns. We find that different types of knowledge ties between firms are formed and developed under the influence of various factors (firm, dyadic, structural level). Our findings not only contribute to a more complete understanding of knowledge flow in cluster contexts but also advance with some suggestions for firms, industrial clusters and regional policy.