Ching-Chiang Yeh

Orcid: 0000-0003-2635-5208

According to our database1, Ching-Chiang Yeh authored at least 16 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Exploring the key factors affecting the usage intention for cross-border e-commerce platforms based on DEMATEL and EDAS method.
Electron. Commer. Res., December, 2023

2019
Understanding the decision rules for 3D printing adoption.
Technol. Anal. Strateg. Manag., 2019

2018
Integrating dynamic Malmquist DEA and social network computing for advanced management decisions.
J. Intell. Fuzzy Syst., 2018

Understanding the critical factors for successful M-commerce adoption.
Int. J. Mob. Commun., 2018

2017
Understanding the factors affecting the adoption of the Internet of Things.
Technol. Anal. Strateg. Manag., 2017

2016
Key factors influencing digital content industry in Taiwan from the triple helix perspective.
Technol. Anal. Strateg. Manag., 2016

A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines.
Cybern. Syst., 2016

2015
Online word-of-mouth as a predictor of television rating.
Online Inf. Rev., 2015

2014
Going-concern prediction using hybrid random forests and rough set approach.
Inf. Sci., 2014

Novel feature selection methods to financial distress prediction.
Expert Syst. Appl., 2014

2012
A hybrid KMV model, random forests and rough set theory approach for credit rating.
Knowl. Based Syst., 2012

Forecasting tourism demand based on empirical mode decomposition and neural network.
Knowl. Based Syst., 2012

A Hybrid Demand Forecasting Model Based on Empirical Mode Decomposition and Neural Network in TFT-LCD Industry.
Cybern. Syst., 2012

2011
The use of hybrid manifold learning and support vector machines in the prediction of business failure.
Knowl. Based Syst., 2011

2010
An Implementation Model for M-customs in WPAN and WWAN Applications: A Taiwan Case.
Int. J. Electron. Bus. Manag., 2010

A hybrid approach of DEA, rough set and support vector machines for business failure prediction.
Expert Syst. Appl., 2010


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