Big Data in Food: Systematic Literature Review and Future Directions

被引:17
|
作者
Chakraborty, Debarun [1 ]
Rana, Nripendra P. [2 ]
Khorana, Sangeeta [3 ]
Singu, Hari Babu [1 ]
Luthra, Sunil [4 ]
机构
[1] Constituent Symbiosis Int Deemed Univ, Symbiosis Inst Business Management, Pune, Maharashtra, India
[2] Qatar Univ, Coll Business & Econ, Doha, Qatar
[3] Aston Business Sch, Dept Econ Finance & Entrepreneurship, Birmingham, W Midlands, England
[4] All India Council Tech Educ AICTE, AICTE Training & Learning ATAL Cell, New Delhi, India
关键词
Big Data; food; food safety; food security; food waste; systematic literature review; RESOURCE-BASED VIEW; SUPPLY CHAIN; SOCIAL MEDIA; SAFETY; MANAGEMENT; SUSTAINABILITY; AVAILABILITY; KNOWLEDGE; DRIVERS; QUALITY;
D O I
10.1080/08874417.2022.2132428
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The growing importance of Big Data in the food industry enables businesses to leverage information to gain a competitive advantage. This paper provides a systematic literature review (SLR) to provide an insight into the use of state-of-art of Big Data applications in the food industry. The SLR relies on available literature that provides the context, theoretical construct and identifies gaps. Based on the findings, we suggest recommendations, identify limitations and suggest policy implications and future directions. Using search databases were examined and 38 relevant studies were identified for retrospective analysis. The review shows that Big Data supports the food industry in ways that enable using Artificial Intelligence to manage restaurants and mobile based applications in supporting consumers with restaurant selection. This SLR open new avenues for future research in the importance of Big Data in the food industry, which will surely help researchers/practitioners in effective utilization of Big DataBig Data.
引用
收藏
页码:1243 / 1263
页数:21
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