Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6094
Title: Big Data Analytics Capability and Firm Performance in Retailing: A Systematic Review
Authors: Haidong Zhang 
Zailani Abdullah 
Keywords: Big data;Analytics capability;Retailing
Issue Date: 2023
Publisher: Springer Singapore
Conference: InCEBT: International Conference on Entrepreneurship, Business and Technology 
Abstract: 
Big data analytics refers to the process of discovering trends, patterns, and correlations in vast amounts of raw data. It is a very important field of study because it helps the organisation to identify new opportunities that are based on data-driven decision-making. However, a comprehensive review of big data analytics is still limited, especially with respect to China. Therefore, in this paper, we provide a systematic review of big data analytics and firm performance specifically in retailing in China. This review will help in easily understanding the correlation between both and also set a clear direction for carrying out future research in this area.
Description: 
Others
URI: https://link.springer.com/chapter/10.1007/978-981-99-2337-3_52
http://hdl.handle.net/123456789/6094
ISBN: 978-981-99-2337-3
DOI: 10.1007/978-981-99-2337-3_52
Appears in Collections:Faculty of Entrepreneurship and Business - Proceedings

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