2008
DOI: 10.1016/j.im.2008.02.002
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A cross-cultural analysis of the end-user computing satisfaction instrument: A multi-group invariance analysis

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Cited by 47 publications
(26 citation statements)
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“…Hence, from the result of the analysis, it can be concluded that in general, this study has supported the End User Computing Satisfaction (EUCS) concept as proposed by Doll & Torkzadeh (1988), and other studies using the same concept and other information systems as well as the ERP system such as Hees and Hightower (2002), Roses (2006), Deng et al (2008) and Mitakos et al (2010). Therefore, this study has confirmed the EUCS concept for the ERP system, besides for other information systems, such as for previous studies.…”
Section: Discussionsupporting
confidence: 72%
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“…Hence, from the result of the analysis, it can be concluded that in general, this study has supported the End User Computing Satisfaction (EUCS) concept as proposed by Doll & Torkzadeh (1988), and other studies using the same concept and other information systems as well as the ERP system such as Hees and Hightower (2002), Roses (2006), Deng et al (2008) and Mitakos et al (2010). Therefore, this study has confirmed the EUCS concept for the ERP system, besides for other information systems, such as for previous studies.…”
Section: Discussionsupporting
confidence: 72%
“…The EUCS model to measure the satisfaction of the user of the ERP has already been conducted by Hees and Hightower (2002), Rose (2006), Deng et al (2008), and Mitakos et al (2010). In general, the EUCS analytical report for the ERP system shows that the EUCS concept can also be used for the ERP system, as well as to other systems at the previous studies.…”
Section: Introductionmentioning
confidence: 99%
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“…There is also no statistically significant difference among items and the χ 2 of 18.3 at 32 degrees of freedom for the minimum investment requirement. Consequently, measurement model invariance is given so that the dataset can be treated as one data sample and differences between groups can be interpreted (Carte & Russell, 2003;Deng et al, 2008).…”
Section: Evaluation Of the Measurement Modelmentioning
confidence: 99%