It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels

By Cristian Morosan, Agnes DeFranco. 2016

527 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e579d6ed033e8fe1f1aa5932ad72d1d73cc39333

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

The battle of Brain vs. Heart: A literature review and meta-analysis of "hedonic motivation" use in UTAUT2 (2019, methodology): “The final theme “others” comprised of seven studies that could not be readily classified under any of the above six categories with instances ranging from consumer use of biometric e-gates in airports (Morosan, 2016) to developers software reuse adoption (Cvijikj et al., 2015) to name a few.”
Integration of UTAUT model in internet banking adoption context (2019, result): “Effort expectancy had a signi ﬁ cant in ﬂ uence on performance expectancy and the ﬁ nding was in line with that of Morosan and DeFranco (2016).”
Point of adoption and beyond. Initial trust and mobile-payment continuation intention (2020, unknown): “…users of mobile wallets can also be expected to form their perceptions by weighing various benefits offered by mobile-based payment methods, such as convenience, ubiq-uity, and performance (Morosan and DeFranco, 2016), with risks, such as financial, privacy and psychological (Yang et al., 2015).”
Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers (2018, background): “On the other hand, recent researches that have studied on the adoption intention of other m-technologies have not shown the direct relationship between effort expectancy and intention to use (Morosan & DeFranco, 2016; Oliveira et al., 2016).”
Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality (2019, background): “Furthermore, it has been criticized for its inability to provide a general explanation of work-technology environments [46].”
Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) (2017, result): “There are many studies that have excluded UTAUT and UTAUT2 moderators and the usage behavior in their analysis (Alalwan et al. 2015; Morosan and DeFranco 2016; Raman and Don 2013; Oechslein et al. 2014), which has commonly been the case amongst adoption studies that employ UTAUT (Venkatesh et al.…”
Habit and hedonic motivation are the strongest influences in mobile learning behaviours among higher education students in Malaysia (2019, methodology): “UTAUT2 has been employed by researchers in various research areas such as consumers’ intention to use mobile payments (Morosan & DeFranco, 2016), e-learning system adoption (El-Masri & Tarhini, 2017), mobile banking adoption (Alalwan, Dwivedi, & Rana, 2017) and online shopping adoption (Tandon,…”
The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, background): “…variables for evaluating consumer value co-creation in hotels (Morosan & DeFranco, 2016a) and their intention to use Biometric e-gates in airports (Morosan, 2016) “Technology class” the newly added second dimension of context represents various information technology artefacts that individual…”