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A FCM-Based Systematic Approach for Building and Analyzing Problem Solving Networks in Open Innovation

机译:基于FCM的开放式创新中问题解决网络的构建和分析系统方法

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The purpose of this paper is to propose a fuzzy cognitive mapping (FCM)-based systematic approach for building and analyzing problem solving networks in open innovation and illustrate the use of this approach with an application in a company operating in prepress preparation sector. First, the proposed approach is explained step by step. Then, for illustrating the use of this approach, case study method was used and data was collected in a company using a visual form developed for this study and analysis of data was performed using social network analysis (SNA) and FCM methods. The results of the study show that by using the proposed approach managers can better understand, sustain, and develop knowledge management practices in open innovation networks in their companies by considering dynamic contextual factors on their relationships. Visual representation of the resulting network helps managers to better understand their internal and external relationships and identify the most valuable network participants. To the best of our knowledge, this is the first study using SNA and FCM methods together in order to capture the effect of dynamic contextual factors on the relationships in innovation field.
机译:本文的目的是提出一种基于模糊认知映射(FCM)的系统方法,用于建立和分析开放式创新中的问题解决网络,并举例说明该方法在印前准备领域的公司中的应用。首先,逐步解释了所提出的方法。然后,为说明这种方法的使用,使用了案例研究方法,并使用为该研究开发的视觉形式在一家公司中收集了数据,并使用社交网络分析(SNA)和FCM方法进行了数据分析。研究结果表明,通过使用建议的方法,管理人员可以通过考虑关系中的动态上下文因素来更好地理解,维持和发展公司开放式创新网络中的知识管理实践。生成的网络的可视化表示有助于管理人员更好地了解其内部和外部关系,并确定最有价值的网络参与者。据我们所知,这是第一个同时使用SNA和FCM方法进行研究的研究,目的是捕获动态上下文因素对创新领域中关系的影响。

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