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              <text>Kushwah, Virendra Singh; Upreti, Kamal; Saiyad, Fariyah Banu Jamaluddin; Divakaran, Prakash; Chaturvedi, Vandana Mishra; Madhukar, Khadilkar Sujay</text>
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              <text>Harnessing the Power of Cloud Computing for Advanced Business and Economic Research</text>
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              <text>Lecture Notes in Networks and Systems;Volume;1196 LNNS;pp.1-12</text>
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              <text>Kushwah V.S., VIT Bhopal University, Bhopal, Sehore, India; Upreti K., Christ (Deemed to Be University) Delhi NCR Campus, Ghaziabad, India; Saiyad F.B.J., Department of Commerce, Bath Spa University Rak, Ras Al Khaimah, United Arab Emirates; Divakaran P., Himalayan University, Arunachal Pradesh, Itanagar, India; Chaturvedi V.M., D Y Patil Deemed to Be University, Vidya Nagar, Nerul, Navi Mumbai, India; Madhukar K.S., KITs Institute of Management Education and Research, Gokul-Shirgaon, Maharashtra, Kolhapur, India</text>
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              <text>Cloud computing has surfaced as a significant influence in the domain of business and economic research. Its ability to deliver vast computational resources, scalable storage, and unparalleled accessibility has revolutionized the way researchers analyze complex datasets, conduct simulations, and collaborate on ground-breaking projects. This paper delves into the myriad ways cloud computing is empowering researchers to unlock unprecedented economic insights. This research article delves into the key dimensions of leveraging cloud computing for advanced business and economic research. It investigates the scalability and flexibility of cloud-based infrastructure, enabling researchers to process and analyze extensive datasets, conduct complex simulations, and implement machine learning algorithms for predictive modeling. Moreover, the cloud facilitates real-time collaboration and data sharing, fostering a global research community that transcends geographical boundaries.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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              <text>Business; Cloud computing; Economic; Harnessing and big data</text>
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              <text>ISSN: 23673370; ISBN: 978-981979525-3;</text>
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