Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective

By Yao-bin Lu, Shuiqing Yang, Patrick Y. K. Chau, Yuzhi Cao. Information Manager (The), 2011

800 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/0b8da984e8eab542ed8495db069988f68e15e7f1

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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

Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020, methodology): “Trust refers to subjective belief that a party will fulfil their obligations and plays a crucial role in electronic financial transactions, where users are exposed to larger risks due to uncertainty of the environment and sense of loss of control (Lu et al., 2011; Zhou, 2013).”
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014, background): “IU Shin (2008), Luo, Li, Zhang, and Shim (2010), He (2009), Lu et al. (2011), Huang et al. (2011), Daud et al. (2011) EI = external influence, PU = perceived usefulness; PEOU = perceived ease of use; AT = attitude; TR = trust; PR = perceived risk; BI = behavioral intention. acceptance problems,…”
User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand (2015, result): “This finding is only in line with prior M-payment adoption studies (Chandra et al., 2010; Lu et al., 2011; Mallat, 2007; Shin, 2010; Yan et al., 2009; Zhou, 2011) but also suggests that M-payment service providers (e.”
User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2 (2019, background): “In fact, it is well known that consumers are concerned about security, privacy, and transaction risks in the mobile context [76], and that overcoming these issues is essential for the adoption of applications in the mobile ecosystem [77].”
A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, positive): “Zhou (2018) posits that the challenges o ﬀ ered by any mobile system can be mitigated by enhancing the perceived ease of use.”
Unearthing the determinants of Blockchain adoption in supply chain management (2020, background): “Trust is a subjective belief that the trusted party will fulﬁl its obligations as expected by the trusting party (Lu et al. 2011) and it indicates the risk propensity of individuals to fulﬁl the needs.”
Digital Finance and FinTech: current research and future research directions (2017, positive): “As a common result, these papers identify trust and ease of use as the most important factors inﬂuencing the adoption decision (e.g., Gao and Waechter 2015; Lu et al. 2011).”
Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust (2016, positive): “…relative advantages and compatibility seems to be key determinants of consumers intention to participate in online travel community, which is consistent with previous results found in the innovation diffusion theory (e.g., Agag & El-Masry, 2016; Amaro & Duarte, 2015; Lu et al., 2011; Rogers, 1995).”
Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers (2018, methodology): “Most of the existing research studies regarding consumer acceptance were conducted by using previous technology acceptance theories for instance, Theory of Reasoned Action abbreviated as TRA (Jiang, 2009), Innovation Diffusion Theory abbreviated as IDT (Lu et al., 2011), Technology Acceptance Model-”