Research of The Influence of Technological Innovation on Business Performance Based on cluster analysis

Li Guo, Jieru Liu
{"title":"Research of The Influence of Technological Innovation on Business Performance Based on cluster analysis","authors":"Li Guo, Jieru Liu","doi":"10.1109/ICEKIM52309.2021.00173","DOIUrl":null,"url":null,"abstract":"With the advent of the era of big data, the data information processing ability of enterprises has been greatly improved. By using the innovative technology of big data, enterprises can realize the networked performance management. This paper adopts cluster analysis to make empirical analysis on listed companies, Cluster analysis is to divide samples into different categories according to similarity according to certain indexes. The results of SPSS show that there is a positive correlation between enterprise innovation capability and business performance. Moreover, technological innovation has a significant impact on the performance of labor-intensive and technology-intensive enterprises, but has no significant impact on capital-intensive enterprises. Managers should pay full attention to the impact of innovation ability on business performance of enterprises, take advantage of the progress of big data technology, and improve the competitiveness of technological advancement between countries.","PeriodicalId":337654,"journal":{"name":"2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEKIM52309.2021.00173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With the advent of the era of big data, the data information processing ability of enterprises has been greatly improved. By using the innovative technology of big data, enterprises can realize the networked performance management. This paper adopts cluster analysis to make empirical analysis on listed companies, Cluster analysis is to divide samples into different categories according to similarity according to certain indexes. The results of SPSS show that there is a positive correlation between enterprise innovation capability and business performance. Moreover, technological innovation has a significant impact on the performance of labor-intensive and technology-intensive enterprises, but has no significant impact on capital-intensive enterprises. Managers should pay full attention to the impact of innovation ability on business performance of enterprises, take advantage of the progress of big data technology, and improve the competitiveness of technological advancement between countries.
基于聚类分析的技术创新对企业绩效影响研究
随着大数据时代的到来,企业的数据信息处理能力得到了极大的提高。利用大数据的创新技术,企业可以实现网络化的绩效管理。本文采用聚类分析对上市公司进行实证分析,聚类分析是根据一定的指标将样本按照相似度划分为不同的类别。SPSS分析结果表明,企业创新能力与企业绩效之间存在正相关关系。此外,技术创新对劳动密集型和技术密集型企业的绩效有显著影响,但对资本密集型企业的绩效没有显著影响。管理者应充分重视创新能力对企业经营绩效的影响,利用大数据技术的进步,提高国家间技术进步的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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