Paper Title:
How Quality Influence User’s Continuance of the Recommendation Blog
  Abstract

Given the development of the Web 2.0, blog becomes one of the most popular applications in the Internet. Internet users spend a lot of time to post and read articles, search for other’s opinions and recommendations in the blogs. Why so many users are stuck on the blogs? What are the key factors to influence user’s blog continuance? This study uses Post-Acceptance Model of IS Continuance as basic model, and combines with information quality and service quality to explore what factors affect internet user’s continuance of recommendation blog. The study adopts cates recommendation blogs as experiment platform, and collects 212 Taiwanese samples from internet. After the analysis of structural equation model, main results are the followings: (1) Users’ perceived usefulness and satisfaction will affect their continuance of recommendation blog; (2) Users’ perceived usefulness, ease of use, confirmation, and blog’s information quality, service quality will affect users’ satisfaction; (3) Blog’s information quality and service quality will affect users’ confirmation.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
1132-1136
DOI
10.4028/www.scientific.net/KEM.474-476.1132
Citation
C. M. Wu, "How Quality Influence User’s Continuance of the Recommendation Blog", Key Engineering Materials, Vols. 474-476, pp. 1132-1136, 2011
Online since
April 2011
Authors
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Price
$32.00
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