An empirical examination of continuance intention of mobile payment services

By Tao Zhou. Decision Support Systems, 2013

927 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/602d075438e68997863fc174478ce3c1b8ed2492

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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

An empirical study on trust in mobile banking: A developing country perspective (2016, background): “…ii) transference of money for third parties without knowledge and permission (Akturan & Tezcan, 2012; Hanafizadeh, Behboudi, Koshksaray, & Tabar, 2014; Luarn & Lin, 2005); and iii) vulnerability of mobile devices to hackers, Trojan horses and information interception (Zhou, 2011; 2012a; 2013).”
Understanding consumers' continuance intention towards mobile purchase: A theoretical framework and empirical study - A case of China (2015, methodology): “Compared to wired network, mobile networks have limited bandwidth and less stable connections therefore, mobile shoppers may encounter potential technical problems, such as service disconnection, navigation difficulties, and slow responses (Zhou, 2013b).”
Enjoyment and social influence: predicting mobile payment adoption (2015, background): “Some technical constraints associated with m-payment systems, such as small screens of smartphones and slow responses, remain to be resolved (Zhou, 2013).”
Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020, background): “That is, if the consumers do not build trust in mobile payment service providers, they cannot gain a convincing experience (Zhou, 2013).”
Is it all about consumer engagement? Explaining continuance intention for utilitarian and hedonic service consumption (2020, methodology): “Finally, continuance intention was measured using items from Zhou (2013).”
M‐payment service: Interplay of perceived risk, benefit, and trust in service adoption (2018, background): “Mobile connectivity has been predicted to increase (Yang, Lu, Gupta, Cao, & Zhang, 2010; T. Zhou, 2013).”
Consumer perception of knowledge-sharing in travel-related Online Social Networks (2016, background): “Online providers have the ability to form integrity beliefs by openly declaring the norms of trade (for instance, shipping procedures, merchandise exchange rules, customer data privacy philosophy) on their websites, in this way, users will be constantly informed of any alteration below the standards”
Factors affecting adoption of online banking: A meta-analytic structural equation modeling study (2015, background): “(i) System Quality focuses on the technical aspect of the provider’s online system and is defined as the extent to which the online system possesses the attributes of reliability [50], accessibility [14, 38, 73], speed [14, 49, 149, 156], flexibility [73], aesthetics [47, 156], and navigation [38, 4”