Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEe …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

Platform operations in the industry 4.0 era: Recent advances and the 3As framework

T Siqin, TM Choi, SH Chung… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the Industry 4.0 era, implementing advanced technologies to enhance platform operations
is crucial. Motivated by the importance of platforms and the wide implementation of Industry …

Impacts of online consumer reviews on a dual-channel supply chain

W Yang, J Zhang, H Yan - Omega, 2021 - Elsevier
This paper investigates the effects of online consumer reviews (OCRs) in a dual channel
where the manufacturer distributes a product through a retail channel and an Internet …

Consumer preference analysis: Diverse preference learning with online ratings

P Ren, X Liu, WG Zhang - Omega, 2024 - Elsevier
In the information age, there is a growing need to process and analyze the great number of
online reviews to understand consumer preferences and product reputations. Instead of …

Competition equilibrium of ride-sourcing platforms and optimal government subsidies considering customers' green preference under peak carbon dioxide emissions

M Zhao, B Li, J Ren, Z Hao - International Journal of Production Economics, 2023 - Elsevier
With the proposal of the “peak carbon dioxide emissions”(carbon peak), committing to
carbon emission reduction in the ride-sourcing market has become the focus of the …

Adaptive multi-criteria decision making for electric vehicles: A hybrid approach based on RANCOM and ESP-SPOTIS

J Więckowski, J Wątróbski, A Shkurina… - Artificial Intelligence …, 2024 - Springer
In today's globalized technological area, aligning decisions with customer preferences is
crucial yet challenging due to the complexities and uncertainties involved. Multi-Criteria …

Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development

G Sariyer, SK Mangla, ME Sozen, G Li, Y Kazancoglu - Omega, 2024 - Elsevier
Public transportation usage prediction is valuable for the sustainable development of
transportation systems, particularly in crowded megacities. Machine learning technologies …

Modeling personalized cognition of customers in online shop**

X Wu, H Liao - Omega, 2021 - Elsevier
Online reviews play an important role in online shop**. Previous studies on Multi-Criteria
Decision Making (MCDM) based on customer reviews focused too much on sentiment words …