Formalizing and validating the web quality model for web source quality evaluation

Specify the WebQM using standard ISO/IEC Z language to avoid ambiguity.Verify the feasibility and effectiveness of WebQM using the Structural Equation Modeling approach.Extract correlation data between observable and latent variables as weights of the quality evaluation criteria. The proposed web quality model (WebQM) is formalized with ISO/IEC Z language and empirically studied based on the Structural Equation Modeling (SEM) approach. By building the sample data set and constructing the structure equation model, the goodness-of-fit of WebQM is analyzed based on generalized least square method. A web source quality evaluation process based on validated WebQM is implemented and verified as more objective and credible, because the weights of quality criteria are automatically produced in the validation procedure, which avoids the subjective weight assignment in some classic assessment approaches. The model validation and implemented evaluation show that WebQM fits the real web source quality data and is feasible, reliable, and effective for web source quality evaluation.

[1]  P. Barrett Structural equation modelling : Adjudging model fit , 2007 .

[2]  Richard T. Watson,et al.  WebQual: An Instrument for Consumer Evaluation of Web Sites , 2007, Int. J. Electron. Commer..

[3]  Prashant C. Palvia,et al.  Developing and validating an instrument for measuring user-perceived web quality , 2002, Inf. Manag..

[4]  Chia-Chi Sun,et al.  Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites , 2009, Expert Syst. Appl..

[5]  Cheng Yong Research on Formal Description and Verification of Semantic Web Service Composition , 2008 .

[6]  Nan Hua,et al.  Comparative Assessment of Structural Equation Modeling and Multiple Regression Research Methodologies: E-commerce Context , 2010 .

[7]  Sik-Yum Lee,et al.  A tutorial on the Bayesian approach for analyzing structural equation models , 2012 .

[8]  Yan Zhu,et al.  Integrating external data from Web sources into a data warehouse for OLAP and decision making , 2004 .

[9]  Tihomir Orehovacki,et al.  Evaluating the perceived and estimated quality in use of Web 2.0 applications , 2013, J. Syst. Softw..

[10]  Paul Benjamin Lowry,et al.  Explaining and Predicting the Impact of Branding Alliances and Web Site Quality on Initial Consumer Trust of E-Commerce Web Sites , 2007, J. Manag. Inf. Syst..

[11]  Naveen Donthu,et al.  Developing a Scale to Measure the Perceived Quality of An Internet Shopping Site ( SITEQUAL ) , 2005 .

[12]  Ş. Baloğlu,et al.  The website design and Internet site marketing practices of upscale and luxury hotels in Turkey , 2006 .

[13]  Mei Cao,et al.  B2C e-commerce web site quality: an empirical examination , 2005, Ind. Manag. Data Syst..