A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Big data in action: An overview of big data studies in tourism and hospitality literature

J Lyu, A Khan, S Bibi, JH Chan, X Qi - Journal of Hospitality and Tourism …, 2022 - Elsevier
Tourism research has marched into the big data arena and brought remarkable
developments. Despite the promising role of big data and increasing volume of research, it …

Evaluating maturity level of big data management and analytics in industrial companies

A Corallo, AM Crespino, V Del Vecchio… - … Forecasting and Social …, 2023 - Elsevier
Manufacturing companies usually ignore their current state of big data and analytics
implementation, losing the opportunity to achieve high-performance targets. An evaluation …

Human-related capabilities in big data analytics: a taxonomy of human factors with impact on firm performance

P Korherr, D Kanbach - Review of Managerial Science, 2023 - Springer
This study intends to provide scholars and practitioners with an understanding of human
resource challenges in the context of Big Data Analytics (BDA). This paper provides a …

Data-driven manufacturing: An assessment model for data science maturity

MO Gökalp, E Gökalp, K Kayabay, A Koçyiğit… - Journal of Manufacturing …, 2021 - Elsevier
Today, data science presents immense opportunities by turning raw data into manufacturing
intelligence in data-driven manufacturing that aims to improve operational efficiency and …

The development of the data science capability maturity model: a survey-based research

MO Gökalp, E Gökalp, K Kayabay, A Koçyiğit… - Online Information …, 2022 - emerald.com
Purpose The purpose of this paper is to investigate social and technical drivers of data
science practices and develop a standard model for assisting organizations in their digital …

Big data maturity assessment models: A systematic literature review

ZA Al-Sai, MH Husin, SM Syed-Mohamad… - Big Data and Cognitive …, 2022 - mdpi.com
Big Data and analytics have become essential factors in managing the COVID-19 pandemic.
As no company can escape the effects of the pandemic, mature Big Data and analytics …

MMALA: Developing and evaluating a Maturity Model for Adopting Learning Analytics

E Freitas, F Fonseca, V Garcia… - Journal of Learning …, 2024 - learning-analytics.info
Learning analytics (LA) adoption is a challenging task for higher education institutions
(HEIs) since it involves different aspects of the academic environment, such as information …

Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach

AK Gupta, H Goyal - Information Technology and Management, 2021 - Springer
Manufacturing firms generate a massive amount of data points because of higher than ever
connected devices and sensor technology adoption. These data points could be from varied …

Literature review on maturity models for digital supply chains

F Hellweg, S Lechtenberg, B Hellingrath… - Brazilian Journal of …, 2021 - bjopm.org.br
Goal. Today, digital technologies have significant effects on supply chains as companies
explore and exploit their opportunities. Digital supply chains promise advantages over …