Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

P Maroufkhani, M Iranmanesh… - Industrial Management & …, 2023 - emerald.com
Purpose The study challenges the assumption of independence among Technological,
Organizational and Environmental (TOE) factors and investigates the influence of TOE …

Artificial intelligence in safety-critical systems: a systematic review

Y Wang, SH Chung - Industrial Management & Data Systems, 2022 - emerald.com
Purpose This study is a systematic literature review of the application of artificial intelligence
(AI) in safety-critical systems. The authors aim to present the current application status …

On a certain research gap in big data mining for customer insights

M Mach-Król, B Hadasik - Applied Sciences, 2021 - mdpi.com
The main purpose of this paper is to provide a theoretically grounded discussion on big data
mining for customer insights, as well as to identify and describe a research gap due to the …

[HTML][HTML] Analytic network process in economics, finance and management: Contingency factors, current trends and further research

H Gonzalez-Urango, E Mu, A Ujwary-Gil… - Expert Systems with …, 2024 - Elsevier
This study explores the recent use of the Analytic Network Process (ANP) in the decision
process in the areas of economics, finance and management to identify common …

Key performance indicator based dynamic decision-making framework for sustainable Industry 4.0 implementation risks evaluation: reference to the Indian …

R Gadekar, B Sarkar, A Gadekar - Annals of Operations Research, 2022 - Springer
Global corporate giants are keen to adopt Industry 4.0 (I4. 0) owing to its continuous,
impactful, and evident benefits. However, implementing I4. 0 remains a significant challenge …

Challenges of big data analytics for sustainable supply chains in healthcare–a resource-based view

M Hussain, M Ajmal, G Subramanian… - Benchmarking: An …, 2024 - emerald.com
Purpose Regardless of the diverse research on big data analytics (BDA) across different
supply chains, little attention has been paid to exploit this information across service supply …

[HTML][HTML] Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach

G Zhao, X Xie, Y Wang, S Liu, P Jones… - … Forecasting and Social …, 2024 - Elsevier
The maritime industry is facing increasing challenges due to decarbonization requirements,
trade disruptions, and geoeconomic fragmentation, such as International Maritime …

An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

DP Tambuskar, P Jain, VS Narwane - Kybernetes, 2024 - emerald.com
Purpose With big data (BD), traditional supply chain is shifting to digital supply chain. This
study aims to address the issues and challenges in the way toward the implementation of …

Corporate accountability and big data analytics: is non-financial disclosure a missing link?

M Agostini, D Arkhipova, C Mio - … Accounting, Management and …, 2023 - emerald.com
Purpose This paper aims to identify, synthesise and critically examine the extant academic
research on the relation between big data analytics (BDA), corporate accountability and non …

Impact of big data analytics on distributed manufacturing: Does big data help?

MH Sazu, SA Jahan - Journal of process management and new …, 2022 - aseestant.ceon.rs
Big data (BD) analytics has brought progressive improvement in the business environment.
It provides businesses with optimized production, personalization and improvement in the …