Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

ZH Munim, M Dushenko, VJ Jimenez… - Maritime Policy & …, 2020 - Taylor & Francis
This study provides a bibliometric review of 279 studies on the applications of big data and
artificial intelligence (AI) in the maritime industry, published in 214 academic outlets …

Process science in action: A literature review on process mining in business management

P Zerbino, A Stefanini, D Aloini - Technological Forecasting and Social …, 2021 - Elsevier
Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …

Auditing large language models: a three-layered approach

J Mökander, J Schuett, HR Kirk, L Floridi - AI and Ethics, 2024 - Springer
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …

Pursuing supply chain sustainable development goals through the adoption of green practices and enabling technologies: A cross-country analysis of LSPs

P Centobelli, R Cerchione, E Esposito - Technological Forecasting and …, 2020 - Elsevier
Abstract The 2030 Agenda for Sustainable Development was defined by United Nations
Member States to provide a list of sustainable development goals (SDGs) aimed to achieve …

Digitalization in maritime transport and seaports: bibliometric, content and thematic analysis

M Jović, E Tijan, D Brčić, A Pucihar - Journal of marine science and …, 2022 - mdpi.com
In this paper, a bibliometric, content and thematic analysis of digitalization in maritime
transport and seaports was performed. The research was primarily motivated by the scarcity …

Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review

G Park, M Cho, J Lee - Expert Systems with Applications, 2024 - Elsevier
Process mining is a relatively new discipline that focuses on gaining process-centric
knowledge from event logs collected by enterprise systems. From an academic standpoint …

[HTML][HTML] Enterprise information management systems development two cases of mining for process conformance

E Kouzari, L Sotiriadis, I Stamelos - International Journal of Information …, 2023 - Elsevier
This article investigates how Process Mining may be used to check process conformance in
enterprise information system development. The concept of using Process Mining beyond …

Advancing Process Audits with Process Mining: A systematic review of trends, challenges, and opportunities

M Imran, S Hamid, MA Ismail - IEEE Access, 2023 - ieeexplore.ieee.org
This systematic literature review focuses on the research area of process audits and
explores the potential of process mining techniques for their enhancement. Traditional …

[PDF][PDF] Turning Big Data into Value: A Literature Review on Business Value Realization from Process Mining.

J Eggers, A Hein - ECIS, 2020 - researchgate.net
In recent years, process mining has emerged as the leading Big Data technology for
business process analysis. By extracting knowledge from event logs readily available in …

Cybersecurity analysis via process mining: A systematic literature review

M Macák, L Daubner, MF Sani, B Buhnova - International Conference on …, 2022 - Springer
The digitalization of our society is only possible in secure software systems governing
ongoing critical processes. The understanding of mutual interdependencies of events and …