Sharma, Swati (2024) Big data analytics in business process: Insights and implications. In: Artificial Intelligence, Data Science and Applications ICAISE’2023. Lecture Notes in Networks and Systems, 1 . Springer, Cham, pp. 112-118. ISBN 978-3-031-48465-0
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The study explores the role of big data analytics (BDA) in business process by presenting a comprehensive review of listed literature on Scopus database. 1122 studies are analyzed keyword-wise to identify the trend and future scope of BDA in business process. The study suggests that none of business process aspects are untouched by big data analytics. From planning to execution, manufacturing to customer satisfaction, costing to performance management and corporate governance to public relation, all aspect of business process has employed big data analytics tools in one way or other. BDA has also admitted its presence in different business domain like supply chain, service-industry, industry 4.0 and sustainable business practices. Internet of Things (IoT), Artificial Intelligence (AI), Deep learning, Decision support system, Neural network, Predictive analysis, Cloud computing and Machine learning are mostly used big data analytics tools. Keyword analysis also provide insights of currently researched topics and future scope for under researched topics
Item Type: | Book Section |
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Keywords: | BDA | Big data analytics | Business process | Network visualization | IoT | AI |
Subjects: | Social Sciences and humanities > Business, Management and Accounting > Business and International Management Physical, Life and Health Sciences > Computer Science Social Sciences and humanities > Social Sciences > Social Sciences (General) |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Subhajit Bhattacharjee |
Date Deposited: | 10 Mar 2024 14:44 |
Last Modified: | 10 Mar 2024 14:50 |
Official URL: | https://doi.org/10.1007/978-3-031-48465-0_15 |
URI: | https://pure.jgu.edu.in/id/eprint/7434 |
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