高新技术产业绩效影响因素的配置与路径分析

IF 3.6 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Organizational and End User Computing Pub Date : 2023-04-07 DOI:10.4018/joeuc.321113
Wenwan Wei, Xinyu Yang, Wan Chen
{"title":"高新技术产业绩效影响因素的配置与路径分析","authors":"Wenwan Wei, Xinyu Yang, Wan Chen","doi":"10.4018/joeuc.321113","DOIUrl":null,"url":null,"abstract":"Exploring the joint effects factors affecting high-technology industries' performance is crucial to enhancing the country's overall strength. However, maintaining high industry performance levels has always been a complex issue. The literature mainly focuses on the net effects of single factors. In that case, the authors put forward a configurational framework that is the performance of high-tech industries, and does not depend on a single condition. Based on a fuzzy-set qualitative comparative analysis of high-tech industry performance across Chinese provinces, the authors identify eight conditions affecting industry performance under four latitudes – economic environment, scientific research, technological progress, and government support. The results show that high and non-high levels of performance can be achieved through the different configurations of antecedents. Both economic development and science and technology inputs play an irreplaceable role in industrial performance.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"11 1","pages":"1-21"},"PeriodicalIF":3.6000,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the Configuration and Path of Factors Influencing the Performance of High-Tech Industries\",\"authors\":\"Wenwan Wei, Xinyu Yang, Wan Chen\",\"doi\":\"10.4018/joeuc.321113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exploring the joint effects factors affecting high-technology industries' performance is crucial to enhancing the country's overall strength. However, maintaining high industry performance levels has always been a complex issue. The literature mainly focuses on the net effects of single factors. In that case, the authors put forward a configurational framework that is the performance of high-tech industries, and does not depend on a single condition. Based on a fuzzy-set qualitative comparative analysis of high-tech industry performance across Chinese provinces, the authors identify eight conditions affecting industry performance under four latitudes – economic environment, scientific research, technological progress, and government support. The results show that high and non-high levels of performance can be achieved through the different configurations of antecedents. Both economic development and science and technology inputs play an irreplaceable role in industrial performance.\",\"PeriodicalId\":49029,\"journal\":{\"name\":\"Journal of Organizational and End User Computing\",\"volume\":\"11 1\",\"pages\":\"1-21\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Organizational and End User Computing\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.4018/joeuc.321113\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Organizational and End User Computing","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.4018/joeuc.321113","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

探索影响高技术产业绩效的联合效应因素,对于提升国家综合实力至关重要。然而,保持较高的行业绩效水平一直是一个复杂的问题。文献主要关注单一因素的净效应。在这种情况下,作者提出了一个不依赖于单一条件的配置框架,即高新技术产业的绩效。通过对中国各省高技术产业绩效的模糊集定性比较分析,确定了经济环境、科学研究、技术进步和政府支持四个纬度下影响高技术产业绩效的8个条件。结果表明,通过前置词的不同配置,可以实现高水平和非高水平的性能。经济发展和科技投入对产业绩效的影响是不可替代的。
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
Analysis of the Configuration and Path of Factors Influencing the Performance of High-Tech Industries
Exploring the joint effects factors affecting high-technology industries' performance is crucial to enhancing the country's overall strength. However, maintaining high industry performance levels has always been a complex issue. The literature mainly focuses on the net effects of single factors. In that case, the authors put forward a configurational framework that is the performance of high-tech industries, and does not depend on a single condition. Based on a fuzzy-set qualitative comparative analysis of high-tech industry performance across Chinese provinces, the authors identify eight conditions affecting industry performance under four latitudes – economic environment, scientific research, technological progress, and government support. The results show that high and non-high levels of performance can be achieved through the different configurations of antecedents. Both economic development and science and technology inputs play an irreplaceable role in industrial performance.
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
Journal of Organizational and End User Computing
Journal of Organizational and End User Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.00
自引率
9.20%
发文量
77
期刊介绍: The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.
期刊最新文献
Cross-Checking-Based Trademark Image Retrieval for Hot Company Detection E-Commerce Review Sentiment Analysis and Purchase Intention Prediction Based on Deep Learning Technology Financial Cycle With Text Information Embedding Based on LDA Measurement and Nowcasting Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques Going Global in the Digital Era
×
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