The role of big data and predictive analytics in the employee retention: a resource-based view
Purpose The authors have attempted to understand how big data and predictive analytics
(BDPA) can help retain employees in the organization.
(BDPA) can help retain employees in the organization.
Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions
Supply chain decarbonisation has become a strategic requirement in the era of a net-zero
economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the …
economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the …
Big data analytics and innovation in e-commerce: current insights and future directions
Big data analytics (BDA), as a new innovation tool, played an important role in helping
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …
Design engineering in the age of industry 4.0
Industry 4.0 is based on the digitization of manufacturing industries and has raised the
prospect for substantial improvements in productivity, quality, and customer satisfaction. This …
prospect for substantial improvements in productivity, quality, and customer satisfaction. This …
Big data and the united nations sustainable development goals (UN SDGs) at a glance
H Hassani, X Huang, S MacFeely… - Big Data and Cognitive …, 2021 - mdpi.com
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …
was a historic event, uniting countries around the world around the shared agenda of …
The role of big data analytics and decision-making in achieving project success
R Ahmed, S Shaheen, SP Philbin - Journal of Engineering and Technology …, 2022 - Elsevier
Big data analytics and decision-making are critical to project success. Therefore, this study
aims to investigate the impact of big data analytics on project success and the moderating …
aims to investigate the impact of big data analytics on project success and the moderating …
Digital supplier selection reinforcing supply chain quality management systems to enhance firm's performance
Purpose The geographical scattering of physical facilities in conventional supply chains
enforces firms to shift toward digital supply chains (DSCs). While switching to DSCs, the …
enforces firms to shift toward digital supply chains (DSCs). While switching to DSCs, the …
[HTML][HTML] Industry 4.0 and supply chain. A Systematic Science Mapping analysis
M Núñez-Merino, JM Maqueira-Marín… - … Forecasting and Social …, 2022 - Elsevier
The purpose of this work is to offer a grouping of the aspects that the literature addresses on
Industry 4.0 and its relationship with the supply chain, to contribute an innovative literature …
Industry 4.0 and its relationship with the supply chain, to contribute an innovative literature …
Big data analytics capabilities and supply chain performance: testing a moderated mediation model using partial least squares approach
AW Al-Khatib, T Ramayah - Business Process Management Journal, 2023 - emerald.com
Big data analytics capabilities and supply chain performance: testing a moderated mediation
model using partial least squares approach | Emerald Insight Books and journals Case studies …
model using partial least squares approach | Emerald Insight Books and journals Case studies …
Supply chain integration and novelty-centered business model design: An organizational learning perspective
T Feng, S Yang, H Sheng - European Management Journal, 2022 - Elsevier
Although novelty-centered business model design (NBMD) has attracted much attention,
how it is affected by supply chain integration (SCI) is still inconclusive. Based on …
how it is affected by supply chain integration (SCI) is still inconclusive. Based on …