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%.

引用

页数：16

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