supply chain planning
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2022 ◽  
Vol 154 ◽  
pp. 111816
Author(s):  
José Ezequiel Santibañez-Aguilar ◽  
Juan José Quiroz-Ramírez ◽  
Eduardo Sánchez-Ramírez ◽  
Juan Gabriel Segovia-Hernández ◽  
Antonio Flores-Tlacuahuac ◽  
...  

Omega ◽  
2021 ◽  
pp. 102585
Author(s):  
Manoj Vanajakumari ◽  
Haoying Sun ◽  
Ashley Jones ◽  
Chelliah Sriskandarajah

2021 ◽  
Vol 131 ◽  
pp. 102571
Author(s):  
Li Luo ◽  
Jim O'Hehir ◽  
Courtney M. Regan ◽  
Li Meng ◽  
Jeffery D. Connor ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinou Xu ◽  
Margherita Emma Paola Pero ◽  
Federica Ciccullo ◽  
Andrea Sianesi

PurposeThis paper aims to examine how the extant publication has related big data analytics (BDA) to supply chain planning (SCP). The paper presents a conceptual model based on the reviewed articles and the dominant research gaps and outlines the research directions for future advancement.Design/methodology/approachBased on a systematic literature review, this study analysed 72 journal articles and reported the descriptive and thematic analysis in assessing the established body of knowledge.FindingsThis study reveals the fact that literature on relating BDA to SCP has an ambiguous use of BDA-related terminologies and a siloed view on SCP processes that primarily focuses on the short-term. Looking at the big data sources, the objective of adopting BDA and changes to SCP, we identified three roles of big data and BDA for SCP: supportive facilitator, source of empowerment and game-changer. It bridges the conversation between BDA technology for SCP and its management issues in organisations and supply chains according to the technology-organisation-environmental framework.Research limitations/implicationsThis paper presents a comprehensive examination of existing literature on relating BDA to SCP. The resulted themes and research opportunities will help to advance the understanding of how BDA will reshape the future of SCP and how to manage BDA adoption towards a big data-driven SCP.Originality/valueThis study is unique in its discussion on how BDA will reshape SCP integrating the technical and managerial perspectives, which have not been discussed to date.


2021 ◽  
pp. 116889
Author(s):  
Kapil M. Gumte ◽  
Priyanka Devi Pantula ◽  
Srinivas Soumitri Miriyala ◽  
Kishalay Mitra

Author(s):  
Neelay Jagani ◽  
Parthil Jagani ◽  
Suril Shah

—Big Data and Cloud Computing are two of the most important technologies of the day. Since data is being generated exponentially every day, Big Data has gained a lot of significance in any technology. The daily explosion of data means that it’s better to have big data included in the applications. Whereas cloud computing is allowing users to use platforms according to their time, convenience and affordability. It is providing users ability to collaborate and work efficiently more than ever. Combining these two technologies can give a hands down advantage to the users in terms of knowledge and efficiency. Big Data, when used in cloud computing has applications in different fields such as Finance, Management, supply chain, planning, data storage, warehouses and many more. In this paper, we have discussed Big Data implementation and application in Cloud Computing. 4 V’s in big data can be applied in Cloud computing to get better performance, higher input details, better insights, reliable and secure platforms at comparatively lower costs. Different analytics, technology involved in coupling of big data with cloud computing, the challenges involved in this process, trends applications of the domain and security factors involved are discussed in this paper


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