Big Data Analytics Capability and Firm Performance in Retailing: A Systematic Review
Haidong Zhang () and
Zailani Abdullah ()
Additional contact information
Haidong Zhang: Universiti Malaysia Kelantan
Zailani Abdullah: Universiti Malaysia Kelantan
A chapter in Industry Forward and Technology Transformation in Business and Entrepreneurship, 2023, pp 609-618 from Springer
Abstract:
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.
Keywords: Big data; Analytics capability; Retailing (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-2337-3_52
Ordering information: This item can be ordered from
http://www.springer.com/9789819923373
DOI: 10.1007/978-981-99-2337-3_52
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().