2018
DOI: 10.1016/j.cie.2017.11.017
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Big data analytics in supply chain management between 2010 and 2016: Insights to industries

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Cited by 452 publications
(301 citation statements)
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“…Consequently, managing the performance of a BM also has to be grounded in data so that its actual conditions can be measured as well as the conditions of new hypothetical choices. Moreover, data orientation today requires the consideration off the context of big data due to the fact of its capability to provide information that can help in the development of customer-driven products and services [19].Big data refers to data sets that, due to the fact of their size, disorder, and complexity, require special approaches to be viewed, stored, managed, and analyzed [20][21][22][23][24]. Among the types of companies most affected by such large volumes of data are those in the e-business sector, which, due to the fact of their digital nature, encompass large volumes of data from different sources [25][26][27].…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…Consequently, managing the performance of a BM also has to be grounded in data so that its actual conditions can be measured as well as the conditions of new hypothetical choices. Moreover, data orientation today requires the consideration off the context of big data due to the fact of its capability to provide information that can help in the development of customer-driven products and services [19].Big data refers to data sets that, due to the fact of their size, disorder, and complexity, require special approaches to be viewed, stored, managed, and analyzed [20][21][22][23][24]. Among the types of companies most affected by such large volumes of data are those in the e-business sector, which, due to the fact of their digital nature, encompass large volumes of data from different sources [25][26][27].…”
mentioning
confidence: 99%
“…Big data refers to data sets that, due to the fact of their size, disorder, and complexity, require special approaches to be viewed, stored, managed, and analyzed [20][21][22][23][24]. Among the types of companies most affected by such large volumes of data are those in the e-business sector, which, due to the fact of their digital nature, encompass large volumes of data from different sources [25][26][27].…”
mentioning
confidence: 99%
“…Technologies such as RFID tags, wireless sensor networks (WSN), and cloud computing have been utilised to develop the SCM. The challenges and issues of IoT in SCM have been discussed broadly in the literature [27,28]. Research has been conducted in each chain of supply from supplier control and purchasing, to customer relationship management and recycling.…”
Section: Applications In Supply Chain Managementmentioning
confidence: 99%
“…According to [16], big data can be defined as large, complex data sets with a current size of one exabyte (1018 bytes) and can reach zettabyte (1021 bytes) per year in some year's massive adoption of mobile devices, cameras, microphones and IoT devices [17].…”
Section: International Journal Of Innovative Technology and Exploringmentioning
confidence: 99%
“…According to [22], descriptive analysis is more commonly used and better understood because it relies on historical data and is a source of information about what has happened and it explores this information for identify issues and opportunities within organizations' roles and processes.Predictive analytics addresses the question of what is likely to happen, by exploring data patterns using statistics, simulations, and algorithms [16]. [17] mark that predictive analytics uses quantitative and qualitative data methods to estimate, for example, stock flow and storage behavior, as well as associated costs and service levels. Incorporating predictive analytics into BDA analysis can help to identify patterns and trends and predict disturbances that may affect modes of transport.…”
Section: International Journal Of Innovative Technology and Exploringmentioning
confidence: 99%