Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

M Seyedan, F Mafakheri - Journal of Big Data, 2020 - Springer
Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

Big data analytics in supply chain management: A systematic literature review and research directions

I Lee, G Mangalaraj - Big data and cognitive computing, 2022 - mdpi.com
Big data analytics has been successfully used for various business functions, such as
accounting, marketing, supply chain, and operations. Currently, along with the recent …

Big data driven supply chain design and applications for blockchain: An action research using case study approach

B Sundarakani, A Ajaykumar, A Gunasekaran - Omega, 2021 - Elsevier
Blockchain appears to still be nascent in its growth and a relatively untapped asset. This
research investigates the need of blockchain in Industry 4.0 environment from Big Data …

Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption

V Fernandez, E Gallardo-Gallardo - Competitiveness Review: An …, 2021 - emerald.com
Purpose This paper aims to contribute to the literature on human resources (HR)
digitalization, specifically on HR analytics, disentangling the concept of analytics applied to …

Big data analytics in supply chain management between 2010 and 2016: Insights to industries

S Tiwari, HM Wee, Y Daryanto - Computers & Industrial Engineering, 2018 - Elsevier
This paper investigates big data analytics research and application in supply chain
management between 2010 and 2016 and provides insights to industries. In recent years …

Capabilities for enhancing supply chain resilience and responsiveness in the COVID-19 pandemic: exploring the role of improvisation, anticipation, and data analytics …

M Munir, MSS Jajja, KA Chatha - International Journal of Operations & …, 2022 - emerald.com
Purpose This study aims to identify critical capabilities to address unforeseen and novel
disruptions, such as those instigated by COVID-19, and explore their role as essential …

An investigation of visibility and flexibility as complements to supply chain analytics: An organizational information processing theory perspective

R Srinivasan, M Swink - Production and Operations …, 2018 - journals.sagepub.com
Many businesses are seeking to develop and exploit analytics capabilities today. Using
organizational information processing theory (OIPT), we study demand visibility and supply …

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

G Wang, A Gunasekaran, EWT Ngai… - International journal of …, 2016 - Elsevier
The amount of data produced and communicated over the Internet is significantly increasing,
thereby creating challenges for the organizations that would like to reap the benefits from …

Supply chain analytics and post-pandemic performance: mediating role of triple-A supply chain strategies

SAR Khan, AZ Piprani, Z Yu - International Journal of Emerging …, 2023 - emerald.com
Purpose The abrupt outbreak of coronavirus disease (COVID-19) hit every nation in 2020–
2021, causing a worldwide pandemic. The worldwide COVID-19 epidemic, described as a …

Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice

D Arunachalam, N Kumar, JP Kawalek - Transportation Research Part E …, 2018 - Elsevier
In the era of Big Data, many organisations have successfully leveraged Big Data Analytics
(BDA) capabilities to improve their performance. However, past literature on BDA have put …