A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption

Expert Systems with Applications

Volumn 40, Issue 4, 2013, Pages 1240-1247

  Chong, Alain Yee Loong ^a  

^a University of Nottingham Ningbo China   (China)

Author keywords

m Commerce; Multi analytic data analysis; Neural network; SEM; Technology adoption

Indexed keywords

ADOPTION INTENTION; BUSINESS OPPORTUNITIES; M-COMMERCE; MOBILE COMMERCE; MOBILE TECHNOLOGY; NETWORK INFLUENCES; NEURAL NETWORK MODEL; PERCEIVED EASE OF USE; PERCEIVED ENJOYMENT; PERCEIVED USEFULNESS; RESEARCH MODELS; STRUCTURAL EQUATION MODELING; TECHNOLOGY ADOPTION;

NEURAL NETWORKS; RESEARCH; SCANNING ELECTRON MICROSCOPY;

ELECTRONIC COMMERCE;

EID: 84870250297     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.08.067     Document Type: Article

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