Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis-Reference-Cited by-同舟云学术

Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis

Published:2023-01 Issue: Volume:154 Page:113357
ISSN:0148-2963
Container-title:Journal of Business Research
language:en
Short-container-title:Journal of Business Research

Author:

Azadi Majid,Yousefi Saeed,Farzipoor Saen Reza,Shabanpour Hadi,Jabeen Fauzia

Publisher

Elsevier BV

Subject

Marketing

Reference56 articles.

1. Some models for estimating technical and scale inefficiencies in data envelopment analysis;Banker;Management Science,1984

2. Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery;Beaulieu;Technological Forecasting and Social Change,2021

3. Patient flow modelling and performance analysis of healthcare delivery processes in hospitals: A review and reflections;Bhattacharjee;Computers & Industrial Engineering,2014

4. Understanding the influential and mediating role of cultural enablers of AI integration to supply chain;Cadden;International Journal of Production Research,2021

5. Programming with linear fractional functionals;Charnes;Naval Research Logistics Quarterly.,1962

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An innovative patient clustering method using data envelopment Analysis–Discriminant analysis and artificial neural networks: A case study in healthcare systems;Socio-Economic Planning Sciences;2024-10

2. An approach-based machine learning and automated thermal images to predict the dark-cutting incidence in cattle management of healthcare supply chain;Engineering Applications of Artificial Intelligence;2024-09

3. An Innovative Double-Frontier Approach to Measure Sustainability Efficiency Based on an Energy Use and Operations Management Perspective;Energies;2024-08-10

4. Assessing AI adoption for enhancing healthcare supply chain resilience: A novel hybrid interval-valued q-rung orthopair fuzzy MCDM;2024 IEEE International Conference on Digital Health (ICDH);2024-07-07

5. Efficient healthcare supply chain: A prioritized multi-task learning approach with task-specific regularization;Engineering Applications of Artificial Intelligence;2024-07