Modeling users’ acceptance of mobile services

By Theodora Zarmpou, Vaggelis Saprikis, Angelos Markos, M. Vlachopoulou. Electronic Commerce Research, 2012

305 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/09538d23611b4783012db6ee815b722e3eb7dee9

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers (2018, methodology): “…the current study is to explore the consumers‟ behavioral intentions of mobile commerce acceptance rather to investigate the actual use of mobile commerce and this practice is being followed in past researches (e.g., Chong et al., 2012; Dai & Palvia, 2009; Wei et al. 2009; Zarmpou et al., 2012).”
The determinants of recommendations to use augmented reality technologies: the case of a Korean theme park. (2015, methodology): “Consequently, it has been increasingly used within technology acceptance research, particularly with the emergence of new technologies such as biometric hotel systems (Morosan, 2012) and mobile marketing and services (Gao et al., 2012; Han et al., 2013; Kuo & Yen, 2009, Zarmpou et al., 2012).”
User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand (2015, methodology): “…has been empirically validated in a number of studies and found to have a positive effect on people’s intention either directly or indirectly through its effect on the PU construct (Chandra et al., 2010; Chen, 2008; Keramati et al., 2011; Kim et al., 2010; Peng et al., 2012; Zarmpou et al., 2012).”
A theoretical model of mobile augmented reality acceptance in urban heritage tourism (2018, background): “Within the mobile service acceptance context, personal innovativeness (Zarmpou et al., 2012) and perceived bene ﬁ ts (Lopez-Nicolas, Molina-Castillo, & Bouwman, 2008) were con ﬁ rmed to in ﬂ uence the behavioural intention to use.”
User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust (2014, methodology): “Itisstronglyrecommended thattrustshouldalsobeexaminedasadrivingfactorintheareaofmobilecommerce (Zarmpou et al. , 2012).”