Enhancing dynamism in clusters: A model for evaluating cluster organizations’ bridge-building activities across cluster gaps
Enhancing dynamism in clusters: A model for evaluating cluster organizations’ bridge-building activities across cluster gaps
复制标题
增强集群活力：评估集群组织跨越集群差距的桥梁活动的模型
DOI：
10.1108/cr-02-2016-0015
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Örjan Sölvell
中科院分区：
文献类型：
--
作者：
Sergey Morgulis‐Yakushev;Örjan Sölvell
目的
本文旨在实证研究集群企业的创新与财务绩效之间的关系。此外，本文提出了一种方法，集群举措的发展和评估其绩效。
设计/方法/方式
2005年至2014年期间，对瑞典中北部的国家办事处进行了研究，其中12个国家办事处侧重于合作，从林业、造纸和钢铁等加工工业到旅游业以及信息和计算机技术。采用调查方法收集了约1，000家从事集群活动的公司的数据。本文提出了一种新的分析方法，将集群成员的创新和财务绩效与企业家的主动性联系起来。
结果
本文发现，集群举措（加强集群中不同类型的行为者之间的合作），提高创新和财务绩效之间的集群企业。但集群举措的效果在很大程度上取决于CO的政策。结果显示集群举措之间的绩效差异很大，为基准测试和跨集群学习留下了空间。
实际影响
本文提出的新方法可以帮助制定和实施集群举措。通过新的方法可以改善对CO的评价。
独创性/价值
这项工作的主要贡献是将合作倡议与集群成员公司的业绩联系起来。此外，这项工作为评估集群举措对集群成员业绩的影响提供了一个新的统计工具。
Purpose
This paper empirically aims to examine the relationship between collaboration initiatives of cluster organizations (COs) and improved innovation and financial performance among cluster firms. Moreover, the paper proposes a method for the development of cluster initiatives and evaluating their performance.
Design/methodology/approach
COs in North Mid Sweden have been studied between 2005 and 2014, where 12 COs have focused on collaboration, ranging from process industries, such as forestry, paper and steel, to tourism and information and computer technology (ICT). A survey method was used to collect data for some 1,000 firms engaging in cluster activities. A new method of analysis, which associates initiatives of COs with cluster members’ innovation and financial performance, has been developed and used in the paper.
Findings
The paper finds that cluster initiatives (enhancing collaboration across different types of actors in clusters) improve innovation and financial performance among involved cluster firms. But the effect of the cluster initiatives depends, to a large degree, on the policy of the CO. Results show large differences in performance among cluster initiatives, leaving room for the benchmarking and cross-cluster learning.
Practical implications
The new method proposed in this paper can help to formulate and implement cluster initiatives. Evaluation of COs can be improved through the new method.
Originality/value
The major contribution of this work is the association of CO initiatives with the performance of cluster member firms. Additionally, this work provides a new statistical instrument for assessing the impact of cluster initiatives on cluster members’ performance.