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Oct 12, 2018 · This study intend to fulfil this purpose through weight analysis on mobile application adoption based studies that utilized UTAUT2 model.
Results of weight analysis revealed performance expectancy/perceived usefulness, trust and habit as best predictors of consumer behavioural intention to ...
The results of weight analysis revealed performance expectancy/perceived usefulness, trust and habit as best predictors of consumer behavioural intention to ...
The results of weight analysis revealed performance expectancy/perceived usefulness, trust and habit as best predictors of consumer behavioural intention to ...
Mobile Application Adoption Predictors: Systematic Review of UTAUT2 Studies Using Weight Analysis. https://doi.org/10.1007/978-3-030-02131-3_1 ·.
A recent review and weight analysis of UTAUT2 studies [19] showed that, indeed, in the large majority of studies, performance expectancy significantly ...
Systematic review and weight analysis on 34 mobile shopping studies revealed researchers mostly employed TAM and UTAUT model as theoretical lens.
Mobile Application Adoption Predictors: Systematic Review of UTAUT2 Studies Using Weight Analysis · K. TamilmaniNripendra P. RanaYogesh Kumar Dwivedi. Business ...
Oct 20, 2023 · This research aims to identify the determinants of Mobile App Acceptance (MAA) intention and usage within the Saudi wholesaling sector.
Drawing on the UTAUT2 model, this study investigates the predictors of acceptance of mHealth services technologies among Rohingya refugees.