欧盟企业竞争优势的遗传算法建模

Alexandre Teixeira Dias, H. Martins, Valdeci Ferreira dos Santos, Pedro Verga Matos, Greiciele Macedo Morais
{"title":"欧盟企业竞争优势的遗传算法建模","authors":"Alexandre Teixeira Dias, H. Martins, Valdeci Ferreira dos Santos, Pedro Verga Matos, Greiciele Macedo Morais","doi":"10.1108/ejmbe-11-2021-0314","DOIUrl":null,"url":null,"abstract":"PurposeThis research aims to identify the optimal configuration of investment which leads firms to their best competitive positions, considering the degree of concentration in the market.Design/methodology/approachThe methodology was quantitative and based on secondary data with samples of 124, 106 and 90 firms from competitive environment classified as perfect competition, monopolistic competition and oligopoly, respectively. Proposed models' parameters were estimated by means of genetic algorithms.FindingsAdjustments on firm's investment are contingent on the degree of competition they face. Results are in line with existing academic research affirmation that the purpose of investments is to create and exploit opportunities for positive economic rents and that investments allow firms to protect from rivals' competitive actions and reinforce the need for investment decision makers to consider the environment in which the firm is competing, when defining the amount of investment that must be done to achieve and maintain a favorable competitive advantage position.Originality/valueThis research brings two main original contributions. The first one is the identification of the optimal amount of capital and R&D investments which leads firms to their best competitive positions, contingent to the degree of concentration of the competitive environment in which they operate, and the size of the firm. The second one is related to the use of genetic algorithms to estimate optimization models that considers the three competitive environments studied (perfect competition, monopolistic competition and oligopoly) and the investment variables in the linear and quadratic forms.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic algorithm modeling of European Union firms' competitive advantage\",\"authors\":\"Alexandre Teixeira Dias, H. Martins, Valdeci Ferreira dos Santos, Pedro Verga Matos, Greiciele Macedo Morais\",\"doi\":\"10.1108/ejmbe-11-2021-0314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis research aims to identify the optimal configuration of investment which leads firms to their best competitive positions, considering the degree of concentration in the market.Design/methodology/approachThe methodology was quantitative and based on secondary data with samples of 124, 106 and 90 firms from competitive environment classified as perfect competition, monopolistic competition and oligopoly, respectively. Proposed models' parameters were estimated by means of genetic algorithms.FindingsAdjustments on firm's investment are contingent on the degree of competition they face. Results are in line with existing academic research affirmation that the purpose of investments is to create and exploit opportunities for positive economic rents and that investments allow firms to protect from rivals' competitive actions and reinforce the need for investment decision makers to consider the environment in which the firm is competing, when defining the amount of investment that must be done to achieve and maintain a favorable competitive advantage position.Originality/valueThis research brings two main original contributions. The first one is the identification of the optimal amount of capital and R&D investments which leads firms to their best competitive positions, contingent to the degree of concentration of the competitive environment in which they operate, and the size of the firm. The second one is related to the use of genetic algorithms to estimate optimization models that considers the three competitive environments studied (perfect competition, monopolistic competition and oligopoly) and the investment variables in the linear and quadratic forms.\",\"PeriodicalId\":45118,\"journal\":{\"name\":\"European Journal of Management and Business Economics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Management and Business Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ejmbe-11-2021-0314\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Management and Business Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ejmbe-11-2021-0314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

目的本研究旨在确定投资的最佳配置,使企业在考虑市场集中度的情况下获得最佳竞争地位。设计/方法论/方法论该方法是定量的,基于二次数据,来自竞争环境的124家、106家和90家公司的样本分别分为完全竞争、垄断竞争和寡头垄断。利用遗传算法对模型参数进行了估计。公司投资的调整取决于他们所面临的竞争程度。研究结果与现有的学术研究一致,即投资的目的是创造和利用正经济租金的机会,投资使企业能够免受竞争对手的竞争行为的影响,并加强投资决策者考虑企业竞争环境的必要性,在确定为实现和保持有利的竞争优势地位而必须进行的投资额时。原创性/价值这项研究带来了两个主要的原创性贡献。第一个是确定使企业达到最佳竞争地位的最佳资本和研发投资额,这取决于其经营的竞争环境的集中程度和企业的规模。第二个是使用遗传算法来估计优化模型,该模型考虑了所研究的三种竞争环境(完全竞争、垄断竞争和寡头垄断)以及线性和二次形式的投资变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Genetic algorithm modeling of European Union firms' competitive advantage
PurposeThis research aims to identify the optimal configuration of investment which leads firms to their best competitive positions, considering the degree of concentration in the market.Design/methodology/approachThe methodology was quantitative and based on secondary data with samples of 124, 106 and 90 firms from competitive environment classified as perfect competition, monopolistic competition and oligopoly, respectively. Proposed models' parameters were estimated by means of genetic algorithms.FindingsAdjustments on firm's investment are contingent on the degree of competition they face. Results are in line with existing academic research affirmation that the purpose of investments is to create and exploit opportunities for positive economic rents and that investments allow firms to protect from rivals' competitive actions and reinforce the need for investment decision makers to consider the environment in which the firm is competing, when defining the amount of investment that must be done to achieve and maintain a favorable competitive advantage position.Originality/valueThis research brings two main original contributions. The first one is the identification of the optimal amount of capital and R&D investments which leads firms to their best competitive positions, contingent to the degree of concentration of the competitive environment in which they operate, and the size of the firm. The second one is related to the use of genetic algorithms to estimate optimization models that considers the three competitive environments studied (perfect competition, monopolistic competition and oligopoly) and the investment variables in the linear and quadratic forms.
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
CiteScore
6.90
自引率
0.00%
发文量
21
审稿时长
24 weeks
期刊介绍: European Journal of Management and Business Economics is interested in the publication and diffusion of articles of rigorous theoretical, methodological or empirical research associated with the areas of business economics, including strategy, finance, management, marketing, organisation, human resources, operations, and corporate governance, and tourism. The journal aims to attract original knowledge based on academic rigour and of relevance for academics, researchers, professionals, and/or public decision-makers.
期刊最新文献
Exploring factors influencing smart tourism destination visiting behaviors in a historic country: a theory of e-consumption behavior Cognitive social capital and new product performance: indirect effect of potential absorptive and innovation capacity: a tourism-based study The relevance of legal requirements in the going public process: the discretionary decision of adopting an audit committee A comparative analysis of supply chain management between Portugal and Ireland “I love your brand! I engage with you, and I do online brand-related activities (COBRAs)”: the role of brand value
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1