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The International Journal of Management Science and Information Technology (IJMSIT)


The international journal of management Science and information technology (IJMSIT) is a refereed journal and publishes high-quality theoretical and empirical papers in the areas of management science and information technology. This journal reports the impact of information technologies on the managerial and organizational topics. IJMSIT develops a comprehensive and theoretical framework by using a multidisciplinary approach to management and information technology for researchers and practitioners.


Editor-in-chief: J. J. Ferreira, University of Beira Interior, Portugal, Email:
Published: Quarterly
Copyright: 2012, North American Institute of Science and Information Technology (NAISIT)
ISSN: ISSN 1923-0265 (Print) - ISSN 1923-0273 (Online) - ISSN 1923-0281 (CD-ROM)

15 : Special Issue: 2014 Spanish-Portuguese Scientific Management Conference ( 2015-03 )


Most of articles that have recently appeared studying electronic service quality propose scales that are focused on measuring the quality of a particular service. However, could these scales be applied to measure the quality of other online services? In this situation, the main purpose of this study is to test the equivalence of a factor model to evaluate the quality of three services: online travel reservations, accommodation reservations and online ticketing. The results support the measurement equivalence of the measures. However, the importance of the dimensions varies across the services. In this sense, reliability is the most important factor in the evaluation of Websites of travel and accommodation reservations. Furthermore, in the evaluation of ticketing Websites, the higher weight factor is design.

Author(s): Ramón Barrera-Barrera - Spain - University of Seville
Antonio Navarro-García - Spain - University of Seville
Marta Peris-Ortiz - Spain - Universitat Politécnica de València
Keywords: electronic service quality, measurement invariance, multigroup, confirmatory factor analysis, Website
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