Big data innovations in enterprise information systems: strategies formation for new generation entrepreneurs

被引：0
|
作者：
Gupta, Brij B. [1 ,2 ,3 ,4 ]
Gaurav, Akshat [5 ,6 ]
Arya, Varsha [7 ,8 ,9 ]
Panigrahi, Prabin Kumar [10 ]
机构：
[1] Asia Univ, Dept Comp Sci & Informat Engn, Taichung 413, Taiwan
[2] Korea Univ, Sch Cybersecur, Seoul, South Korea
[3] Symbiosis Int Univ, Symbiosis Ctr Informat Technol SCIT, Pune, India
[4] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
[5] Ronin Inst, Dept Comp Sci, Montclair, NJ USA
[6] Asia Univ, Int Ctr AI & Cyber Secur Res & Innovat CCRI, Taichung, Taiwan
[7] Hong Kong Metropolitan Univ HKMU, Elect Engn & Comp Sci, Ho Man Tin, Hong Kong, Peoples R China
[8] Univ Petr & Energy Studies UPES, Ctr Interdisciplinary Res, Dehra Dun, India
[9] Chandigarh Univ, Univ Ctr Res & Dev, Chandigarh, India
[10] Indian Inst Management, Dept Informat Syst, Indore, India
来源：
ENTERPRISE INFORMATION SYSTEMS | 2025年 / 19卷 / 1-2期
关键词：
Entrepreneurship; big data; enterprise information systems; machine learning; K-nearest neighbours; DATA ANALYTICS;
D O I：
10.1080/17517575.2024.2449261
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Big data's inclusion into enterprise information systems (EIS) has transformed corporate strategies. Therefore, it supports data-driven innovation and decision-making. Focusing on methods that empower new-generation entrepreneurs, this paper integrates big data and entrepreneurship concepts. Leading authors, trending subjects, and domain-specific innovations are used to present the development of big data and EIS. Moreover, we show the useful application of big data by building a machine-learning model to forecast credit card defaulters. The model used a Culture Algorithm (CA) for feature selection and a K-nearest neighbour for classification. The model obtained 74.28% accuracy and an F1-score of 74.23%.
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收藏
页数：16
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