Hybrid SEM-neural networks for predicting electronics logistics information system adoption in Thailand healthcare supply chain
Year of publication: |
2020
|
---|---|
Authors: | Siwaporn Kunnapapdeelert ; Krittipat Pitchayadejanant |
Published in: |
International journal of business performance and supply chain modelling. - Olney, Bucks : Inderscience, ISSN 1758-941X, ZDB-ID 2521783-5. - Vol. 11.2020, 1, p. 54-68
|
Subject: | structural equation modelling | SEM | electronics logistics | e-logistics | information system | neural network | healthcare | Thailand | Lieferkette | Supply chain | Gesundheitsversorgung | Health care | Neuronale Netze | Neural networks | Gesundheitswesen | Health care system | Informationssystem | Information system | Strukturgleichungsmodell | Structural equation model | Logistik | Logistics | Electronic Commerce | E-commerce | Betriebliches Informationssystem | Business intelligence system | Unternehmensnetzwerk | Business network | IT-gestützte Logistik | Computer-aided logistics | Lieferantenmanagement | Supplier relationship management |
-
Healthcare supply chain information systems via service-oriented architecture
Turhan, Sultan N., (2010)
-
Automation and information systems to innovate in urban distribution
Coste, Bruno, (2023)
-
Logistics Information Systems : Digital Transformation and Supply Chain Applications in the 4.0 Era
Kocaoglu, Batuhan, (2024)
- More ...
-
Applying business intelligence and innovation to entrepreneurship
Kannapat Kankaew, (2024)
-
Determination of green vehicle routing problem via differential evolution
Siwaporn Kunnapapdeelert, (2019)
-
Siwaporn Kunnapapdeelert, (2018)
- More ...