A study on the impact of entrepreneurial bricolage on enterprise performance management using the BPNN-DEMATEL method and social network analysis

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES
Xi Kang , Saiyong Li , Kanchaya Chaivirutnukul
{"title":"A study on the impact of entrepreneurial bricolage on enterprise performance management using the BPNN-DEMATEL method and social network analysis","authors":"Xi Kang ,&nbsp;Saiyong Li ,&nbsp;Kanchaya Chaivirutnukul","doi":"10.1016/j.techsoc.2025.102883","DOIUrl":null,"url":null,"abstract":"<div><div>With the advancement of artificial intelligence (AI), intelligent methods have become increasingly important for optimizing enterprise development strategies. This study applies the Back Propagation Neural Network-Decision Making Trial and Evaluation Laboratory (BPNN-DEMATEL) method and social network analysis to improve strategic decision-making for emerging enterprises. First, the BPNN-DEMATEL method is developed based on Back Propagation Neural Network (BPNN) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL). Then, it is refined using insights from social network analysis. Finally, the model is evaluated to assess its effectiveness in analyzing performance management strategies. Results indicate that the BPNN-DEMATEL model improves calculation accuracy by approximately 23 %–47 % and reduces reaction time by 20 %–50 % compared to existing models. After optimization, integrating social network analysis further enhances accuracy, increasing it by 38 %–70 %. Additionally, the model effectively examines the impact of entrepreneurial bricolage on performance management, providing insights that support new venture development. These findings contribute to the optimization and practical application of AI in enterprise strategy, offering both technical and theoretical foundations for business growth in the digital era.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102883"},"PeriodicalIF":10.1000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25000739","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0

Abstract

With the advancement of artificial intelligence (AI), intelligent methods have become increasingly important for optimizing enterprise development strategies. This study applies the Back Propagation Neural Network-Decision Making Trial and Evaluation Laboratory (BPNN-DEMATEL) method and social network analysis to improve strategic decision-making for emerging enterprises. First, the BPNN-DEMATEL method is developed based on Back Propagation Neural Network (BPNN) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL). Then, it is refined using insights from social network analysis. Finally, the model is evaluated to assess its effectiveness in analyzing performance management strategies. Results indicate that the BPNN-DEMATEL model improves calculation accuracy by approximately 23 %–47 % and reduces reaction time by 20 %–50 % compared to existing models. After optimization, integrating social network analysis further enhances accuracy, increasing it by 38 %–70 %. Additionally, the model effectively examines the impact of entrepreneurial bricolage on performance management, providing insights that support new venture development. These findings contribute to the optimization and practical application of AI in enterprise strategy, offering both technical and theoretical foundations for business growth in the digital era.
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
×
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