Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective

By Carlos Tam, Tiago Oliveira. Computers in Human Behavior, 2016

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Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory (2020, background): “…ability’s association with PWOM and no association with NWOM, were supported by the results, in consonance with the extant literature (Ahmadi, 2019; Alexandrov et al., 2013; Cenfetelli and Schwarz, 2011; Herzberg, 1959; Kaur et al., 2020a; 2020b; Talwar et al., 2020c; Tam and Oliveira, 2016).”
E-learning success determinants: Brazilian empirical study (2017, neutral): “11 Information systems usage is positively related to individual performance (Aparicio et al., 2016; DeLone & McLean, 2002; Tam & Oliveira, 2016; Urbach et al., 2010a).”
What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020, methodology): “For example, the Task-Technology Fit model combines with UTAUT to analyse mobile banking adoption (Zhou et al., 2010); the Task-Technology Fit model integrates with the DeLone & McLean model to explain mobile banking adoption (Tam and Oliveira, 2016).”
Integration of UTAUT model in internet banking adoption context (2019, result): “Concerning with causal relationship among outlined variables, results revealed that the relationship between performance expectancy and intention to adopt internet banking was found to be signi ﬁ cant and the ﬁ nding was in line with that of Tam and Oliveira (2016).”