Optimal dispersion of R&D activities in multinational corporations with a genetic algorithm

Jan Hendrik Fisch

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Optimal dispersion of R&D activities in multinational corporations with a genetic algorithm

机译：遗传算法在跨国公司研发活动中的最优分散

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This paper presents a new communication-economic network model to predict the allocation of R&D activities in MNCs. While traditional models examine the influencing factors of R&D internationalization separately for each country and come to a one-dimensional result, this multi-dimensional approach integrates the influencing factors in a way that allows to identify an efficient configuration of the entire R&D subsystem in many countries at a time. It captures the information flows and employs a genetic algorithm to find a dispersion of R&D activities in which the problems of international communication have the least negative impact. The model is tested with data from seven MNCs covering a range of 48 countries as potential R&D locations.

机译：本文提出了一种新的通信经济网络模型，以预测跨国公司研发活动的分配。传统模型分别检查每个国家研发国际化的影响因素并得出一维结果，但这种多维方法将影响因素整合在一起，从而可以确定许多国家整个研发子系统的有效配置。一次。它捕获信息流，并采用遗传算法找到分散的研发活动，其中国际交流问题产生的负面影响最小。该模型已使用来自覆盖48个国家/地区的七个跨国公司作为潜在研发地点的数据进行了测试。

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来源
《Research policy》 |2003年第8期|p. 1381-1396|共16页
作者
Jan Hendrik Fisch;
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作者单位

Institute for Business Administration (510 E), University of Hohenheim, D-70593 Stuttgart, Germany;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类科学、科学研究;
关键词
research and development; international management; organization theory; communication; genetic algorithms;

机译：研发;国际管理;组织理论;通信;遗传算法;

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5. International R&D, technological capability, and productivity: Studies on U.S. multinationals and foreign affiliate innovative activities. [D] . Koncz, Jennifer Lynn. 2010

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6. Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms [O] . Naveed Khan, Sally McClean, Shuai Zhang, 2014

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Optimal dispersion of R&D activities in multinational corporations with a genetic algorithm

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