如何在高科技产业创新竞赛中胜出?进化优化模型

Q3 Decision Sciences
Kalevi Kyläheiko, P. Luukka, A. Jantunen, T. Heinrich
{"title":"如何在高科技产业创新竞赛中胜出?进化优化模型","authors":"Kalevi Kyläheiko, P. Luukka, A. Jantunen, T. Heinrich","doi":"10.1504/IJTIP.2016.074240","DOIUrl":null,"url":null,"abstract":"In this paper, we will present the firm's knowledge base function and introduce an optimisation problem where the firm seeks to maximise its profits with scarce knowledge assets. In this, it has to share its knowledge assets between activities that help to increase the firm's knowledge base and activities that are needed to protect and exploit the knowledge. In addition to these choices, the firm meets a question of whether and how to use partnerships when trying to maximise profits based on the knowledge assets that can be more or less protected. We will present the evolutionarily inspired optimisation problems as perspectives of one company, two companies and three companies and introduce the differential evolution algorithm as a solution to the optimisation problems. Our simulation results show that by proper optimisation of resource allocations, a company can achieve a sustainable advantage compared with other companies.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"29 1","pages":"62"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to win innovation races in high-tech industries? An evolutionary optimisation model\",\"authors\":\"Kalevi Kyläheiko, P. Luukka, A. Jantunen, T. Heinrich\",\"doi\":\"10.1504/IJTIP.2016.074240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we will present the firm's knowledge base function and introduce an optimisation problem where the firm seeks to maximise its profits with scarce knowledge assets. In this, it has to share its knowledge assets between activities that help to increase the firm's knowledge base and activities that are needed to protect and exploit the knowledge. In addition to these choices, the firm meets a question of whether and how to use partnerships when trying to maximise profits based on the knowledge assets that can be more or less protected. We will present the evolutionarily inspired optimisation problems as perspectives of one company, two companies and three companies and introduce the differential evolution algorithm as a solution to the optimisation problems. Our simulation results show that by proper optimisation of resource allocations, a company can achieve a sustainable advantage compared with other companies.\",\"PeriodicalId\":52540,\"journal\":{\"name\":\"International Journal of Technology Intelligence and Planning\",\"volume\":\"29 1\",\"pages\":\"62\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Technology Intelligence and Planning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJTIP.2016.074240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Technology Intelligence and Planning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJTIP.2016.074240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们将展示企业的知识库函数,并引入一个优化问题,其中企业寻求利用稀缺的知识资产实现利润最大化。在这种情况下,它必须在有助于增加公司知识库的活动和保护和利用知识所需的活动之间共享其知识资产。除了这些选择之外,企业还面临一个问题,即在试图基于或多或少受到保护的知识资产实现利润最大化时,是否以及如何利用伙伴关系。我们将以一家公司、两家公司和三家公司的视角来呈现进化启发的优化问题,并引入差分进化算法作为优化问题的解决方案。仿真结果表明,通过合理优化资源配置,企业可以获得相对于其他企业的持续优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to win innovation races in high-tech industries? An evolutionary optimisation model
In this paper, we will present the firm's knowledge base function and introduce an optimisation problem where the firm seeks to maximise its profits with scarce knowledge assets. In this, it has to share its knowledge assets between activities that help to increase the firm's knowledge base and activities that are needed to protect and exploit the knowledge. In addition to these choices, the firm meets a question of whether and how to use partnerships when trying to maximise profits based on the knowledge assets that can be more or less protected. We will present the evolutionarily inspired optimisation problems as perspectives of one company, two companies and three companies and introduce the differential evolution algorithm as a solution to the optimisation problems. Our simulation results show that by proper optimisation of resource allocations, a company can achieve a sustainable advantage compared with other companies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Technology Intelligence and Planning
International Journal of Technology Intelligence and Planning Business, Management and Accounting-Management of Technology and Innovation
CiteScore
3.20
自引率
0.00%
发文量
2
期刊介绍: The IJTIP is a refereed journal that provides an authoritative source of information in the field of technology intelligence, technology planning, R&D resource allocation, technology controlling, technology decision-making processes and related disciplines.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信