Understanding and predicting the motivators of mobile music acceptance - A multi-stage MRA-artificial neural network approach

Telematics and Informatics

Volumn 31, Issue 4, 2014, Pages 569-584

  Sim, Jia Jia ^a   Tan, Garry Wei Han ^a   Wong, Jessica C J ^b   Ooi, Keng Boon ^b   Hew, Teck Soon ^c  

^a UNIVERSITI TUNKU ABDUL RAHMAN   (Malaysia)

^b Linton University College   (Malaysia)

^c UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Artificial neural networks; Mobile music; Multi layer perceptron; Perceived credibility; Technology acceptance model (TAM)

Indexed keywords

BACKPROPAGATION ALGORITHMS; FORECASTING; REGRESSION ANALYSIS;

FEEDFORWARD BACKPROPAGATION; MOBILE MUSIC; MULTI LAYER PERCEPTRON; MULTIPLE REGRESSION ANALYSIS; NON-LINEAR RELATIONSHIPS; PERCEIVED CREDIBILITY; PERSONAL INNOVATIVENESS; TECHNOLOGY ACCEPTANCE MODEL;

NEURAL NETWORKS;

EID: 84899422466     PISSN: 07365853     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tele.2013.11.005     Document Type: Article

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