Food trend based on social media for big data analysis using K-mean clustering and SAW: A case study on yogyakarta culinary industry

Mihuandayani,; Ramandita, Herda D.; Setyanto, Arief; Sumafta, Ikhwan Baidlowi

doi:10.1109/icoiact.2018.8350805

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…There are country specific presentations of the framework which explain accuracy and predictability of the proposed model to test larger datasets 65 . The country specific presentation on Big data and food has been observed and a few studies were developed which have been extrapolated for developing countries 41,[66][67][68][69][70][71] . The main shortcoming is that the study was conducted in Africa and not tested in any developing economies 92 .…”

Section: Region and Country Specific Studymentioning

confidence: 99%

Big Data in Food: Systematic Literature Review and Future Directions

Chakraborty

Rana

Khorana

et al. 2022

Journal of Computer Information Systems

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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 data.

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