Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literature

By Motaharinia Mahmood, Janice M. Burn, L. Gemoets, Carmen Jacquez. Int. J. Hum. Comput. Stud., 2000

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Extending the Understanding of End User Information Systems Satisfaction Formation: An Equitable Needs Fulfillment Model Approach (2008, background): “Performance of product attributes is one of the primary standards of comparison by which satisfaction is assessed (Oliver 1997).”
Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, methodology): “Second, the satisfaction is widely used as a success measure [DeLone & McLean, 1992 2003; Liu & Guo 2008; Mahmood et al. 2000; Zviran & Ehrlich 2003] and post-adoption measure of m-services [Park et al. 2011].”
Design aesthetics leading to m-loyalty in mobile commerce (2006, background): “In recent technology adoption studies, dependent variables have been attitude [87], acceptance [82], preference, satisfaction [64,65], intention [3,35,59], and actual use [15].”