Big data and predictive analytics for business intelligence: A bibliographic study (2000–2021)

Y Chen, C Li, H Wang - Forecasting, 2022 - mdpi.com
Big data technology and predictive analytics exhibit advanced potential for business
intelligence (BI), especially for decision-making. This study aimed to explore current …

Enhancing ERP responsiveness through big data technologies: an empirical investigation

F Bandara, U Jayawickrama, M Subasinghage… - Information Systems …, 2024 - Springer
Organizations are integrating big data technologies with Enterprise Resource Planning
(ERP) systems with an aim to enhance ERP responsiveness (ie, the ability of the ERP …

Role of cloud ERP and big data on firm performance: a dynamic capability view theory perspective

S Gupta, X Qian, B Bhushan, Z Luo - Management Decision, 2019 - emerald.com
Purpose Technological developments have made it possible for organizations to use
enterprise resource planning (ERP) services without indulging in heavy investments like IT …

Internet of things and Big Data as potential solutions to the problems in waste electrical and electronic equipment management: An exploratory study

F Gu, B Ma, J Guo, PA Summers, P Hall - Waste Management, 2017 - Elsevier
Abstract Management of Waste Electrical and Electronic Equipment (WEEE) is a vital part in
solid waste management, there are still some difficult issues require attentionss. This paper …

Sustainable competitive advantage driven by big data analytics and innovation

M Ramadan, H Shuqqo, L Qtaishat, H Asmar, B Salah - Applied Sciences, 2020 - mdpi.com
Big data analytics (BDA) is one of the main pillars of Industry 4.0. It has become a promising
tool for supporting the competitive advantages of firms by enhancing data-driven …

A novel technique for behavioral analytics using ensemble learning algorithms in E-commerce

M Alojail, S Bhatia - IEEE Access, 2020 - ieeexplore.ieee.org
The era of E-commerce and availability of data in every field of operations in an enormous
volume that implies to Big Data is one of the biggest sources of competitive advantage for …

Collaborative and integrated data-driven delay prediction and supplier selection optimization: A case study in a furniture industry

MA Zaghdoudi, S Hajri-Gabouj, F Ghezail… - Computers & Industrial …, 2024 - Elsevier
Optimizing supplier selections is an open ended problem, relevant to the operational
performance of both individual companies and entire supply chains. Considering the …

Intelligent ERP for SCM agility and graph theory technique for adaptation in automotive industry in India

P Jayender, GK Kundu - … Journal of System Assurance Engineering and …, 2021 - Springer
A supply chain's performance is determined by its capacity to stay market-sensitive while
maintaining network integration. The challenges in remaining market sensitive are in …

Enterprise resource planning in the age of industry 4.0: A general overview

İZ Akyurt, Y Kuvvetli, M Deveci - Logistics 4.0, 2020 - taylorfrancis.com
This chapter discusses the future Enterprise Resource Planning (ERP) systems on the new
production systems that are influenced by industry 4.0 technologies. ERP provides efficient …

A survey of predictive analytics using big data with data mining

S Poornima, M Pushpalatha - International journal of …, 2018 - inderscienceonline.com
Today, the world is filled with data like Oxygen. The amount of data being harvested and
eaten up is flourishing vigorously in the digital world. The growing exploitation of novel …