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How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?

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Bibliographic Details
Main Authors: Mehrbakhsh, Nilashi, Abdullah M., Baabdullah, Rabab Ali, Abumalloh
Format: Book
Language:English
Published: Springer 2023
Subjects:
BDPA
performance and competitive advantage
Online Access:https://link.springer.com/article/10.1007/s10479-023-05272-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8397
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spelling oai:localhost:PNK-83972023-05-04T04:57:29Z How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry? Mehrbakhsh, Nilashi Abdullah M., Baabdullah Rabab Ali, Abumalloh BDPA performance and competitive advantage CC BY Big data and predictive analytics (BDPA) techniques have been deployed in several areas of research to enhance individuals’ quality of living and business performance. The emergence of big data has made recycling and waste management easier and more efficient. The growth in worldwide food waste has led to vital economic, social, and environmental effects, and has gained the interest of researchers. Although previous studies have explored the influence of big data on industrial performance, this issue has not been explored in the context of recycling and waste management in the food industry. In addition, no studies have explored the influence of BDPA on the performance and competitive advantage of the food waste and the recycling industry. Specifically, the impact of big data on environmental and economic performance has received little attention. 2023-05-04T04:57:29Z 2023-05-04T04:57:29Z 2023 Book https://link.springer.com/article/10.1007/s10479-023-05272-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8397 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic BDPA
performance and competitive advantage
spellingShingle BDPA
performance and competitive advantage
Mehrbakhsh, Nilashi
Abdullah M., Baabdullah
Rabab Ali, Abumalloh
How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
description CC BY
format Book
author Mehrbakhsh, Nilashi
Abdullah M., Baabdullah
Rabab Ali, Abumalloh
author_facet Mehrbakhsh, Nilashi
Abdullah M., Baabdullah
Rabab Ali, Abumalloh
author_sort Mehrbakhsh, Nilashi
title How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
title_short How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
title_full How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
title_fullStr How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
title_full_unstemmed How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
title_sort how can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10479-023-05272-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8397
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score 8.881002

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