Open Access

Downloads

Download data is not yet available.

Abstract

This study aims at explaining the influence process of YouTube’s consumer-generated content on consumers’ cognition, attitude and purchase intention. The proposed model is based on Elaboration Likelihood Model with extensive variables including perceived usefulness, attitude, information adoption and purchase intention. To test the validity of proposed model and research hypotheses, Structural Equation Model is applied on a sample of 208 individuals who are interested in smartphone. The results show that the measurements are reliable and valid and research model can be used for explaining the effect of consumer-generated content on consumers. Besides, all hypotheses are empirically supported. This study, therefore, has contributions on both academic and practical aspects.



Author's Affiliation
Article Details

Issue: Vol 1 No Q3 (2017)
Page No.: 34-43
Published: Dec 31, 2017
Section: Research article
DOI: https://doi.org/10.32508/stdjelm.v1iQ3.450

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, K., & Do, A. (2017). Applying expanded Elaboration Likelihood Model to explain the effect of consumergenerated content on consumers. Science & Technology Development Journal: Economics- Law & Management, 1(Q3), 34-43. https://doi.org/https://doi.org/10.32508/stdjelm.v1iQ3.450

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 572 times
Download PDF   = 1321 times
Total   = 1321 times