Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

ED Zamani, C Smyth, S Gupta, D Dennehy - Annals of Operations …, 2023 - Springer
Abstract Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to
significantly improve resilience of supply chains and to facilitate more effective management …

Digital transformation and sustainable performance: The moderating role of market turbulence

L Li - Industrial Marketing Management, 2022 - Elsevier
As digital technologies disrupt one sector after another, many companies are actively
embracing digital transformation. However, the relationship between digital transformation …

[HTML][HTML] Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing

O Rodríguez-Espíndola, S Chowdhury, PK Dey… - … Forecasting and Social …, 2022 - Elsevier
Abstract The Industry 4.0 (I4. 0) revolution has led to rapid digital transformation, automation
of manufacturing processes and efficient decision-making in business operations. Despite …

Soft skills and their importance in the labour market under the conditions of Industry 5.0

M Poláková, JH Suleimanová, P Madzík, L Copuš… - Heliyon, 2023 - cell.com
The profound ramifications stemming from a multitude of global events and the ongoing
progression of the fourth and fifth industrial revolutions necessitate a broadening of skillsets …

Digitalisation boosts company performance: an overview of Italian listed companies

E Truant, L Broccardo, LP Dana - Technological Forecasting and Social …, 2021 - Elsevier
Digitalisation has become embedded in products and services, and it increasingly supports
corporate business processes. However, few empirical studies have analysed the state of …

The role of big data analytics in manufacturing agility and performance: moderation–mediation analysis of organizational creativity and of the involvement of …

U Awan, SH Bhatti, S Shamim, Z Khan… - British Journal of …, 2022 - Wiley Online Library
The involvement of customers as data analysts enables firms to gain valuable insights and
create value from big data. We provide a theoretical explanation, drawn from the resource …

Integrating circular economy and Industry 4.0 for sustainable supply chain management: A dynamic capability view

H Lu, G Zhao, S Liu - Production Planning & Control, 2024 - Taylor & Francis
Circular economy (CE) and Industry 4.0 are recent business buzzwords that help
organizations to maintain a circular flow and optimize the use of resources with …

Combining lean and agile manufacturing competitive advantages through Industry 4.0 technologies: an integrative approach

B Ding, X Ferras Hernandez… - Production planning & …, 2023 - Taylor & Francis
Lean manufacturing and agile manufacturing have been two prominent manufacturing
paradigms over the past decades, with the respective aims of reducing waste to achieve low …

AI applications of data sharing in agriculture 4.0: A framework for role-based data access control

K Spanaki, E Karafili, S Despoudi - International Journal of Information …, 2021 - Elsevier
Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in
various fields. Industry 4.0 also manifests in the farming sector, where the wave of …