Big Data Analytics in Supply Chain Management 2020
DOI: 10.1201/9780367816384-1
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Big Data Analytics in Supply Chain Management

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Cited by 7 publications
(8 citation statements)
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“…Internal and external factors influence the process of digital procurement transformation and shape it [17]. De la Torre et al [18], Gottge et al [19], Hoe [6], Lorentz et al [17], Rahimi et al [20], and Moktar et al [21] state that it is necessary to focus on the development of digitization strategy options for different procurement contexts. Verhoef et al [22] argue that digital transformation is inevitable, but it should be borne in mind that it carries certain risks by itself.…”
Section: Literature Overviewmentioning
confidence: 99%
“…Internal and external factors influence the process of digital procurement transformation and shape it [17]. De la Torre et al [18], Gottge et al [19], Hoe [6], Lorentz et al [17], Rahimi et al [20], and Moktar et al [21] state that it is necessary to focus on the development of digitization strategy options for different procurement contexts. Verhoef et al [22] argue that digital transformation is inevitable, but it should be borne in mind that it carries certain risks by itself.…”
Section: Literature Overviewmentioning
confidence: 99%
“…Big data is produced by collecting data (enhanced with I4.0 technologies) and predicting future humanitarian needs. Using big data for better decision making must be sustainably developed and implemented [50][51][52]. Table 2 displays key papers that specifically relate to two or more QBL aspects of HSCs.…”
Section: Adaptability and Innovationmentioning
confidence: 99%
“…Big Data refers to data sets with a massive amount of information (exceeding many zettabytes of data) and which require other utilities than commonly used software to gather, store, and process data within a short time [80,81]. Big Data allows one to efficiently manage and use the constantly growing database [12,[79][80][81][82][83][84][85][86][87][88][89][90][91][92][93][94]. For example, online stores can analyse with almost total accuracy what was sold and how promotions and special offers influenced sales; using Big Data, they can predict what a customer might like to buy next [94].…”
Section: Big Data and Industry 50mentioning
confidence: 99%