An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust

By Hsiu-Fen Lin. International Journal of Information Management, 2011

974 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/39369b7ca8e7dd8306114f019891c6036a4709ac

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Citations in the corpus

Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust (2018, background): “Indeed, trust has been largely cited as a critical factor in the area of mobile technology adoption (see Alalwan et al., 2017; Hanafizadeh et al., 2014; Kim et al., 2009; Lin, 2011; Luo et al., 2010; Rana et al., 2017; Zhou, 2011).”
Predicting the intention to use mobile banking in India (2018, background): “…et al., 2011; Jeong & Yoon, 2013; Mortimer et al., 2015; Kumar et al., 2017), TPB/DTPB (Beiginia et al., 2011; Aboelmaged & Gebba, 2013), UTAUT/UTAUT2 (Luo et al., 2010; Bankole et al., 2011; Yu, 2012; Baptista & Oliveira, 2015; Alalwan et al., 2017), and IDT (Khraim et al., 2011; Lin, 2011).”
Mobile banking adoption: A literature review (2015, background): “Fewer studies investigate the antecedents of attitude (e.g., Akturan and Tezcan, 2012; Lin, 2011; Püschel et al., 2010).”
Understanding users' initial trust in mobile banking: An elaboration likelihood perspective (2012, methodology): “Luo et al. (2010) used UTAUT as the theoretical base and revealed the effect of performance expectancy and perceived risk on user behavior.”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “…advancements in the field of mobile technologies have yielded profound modifications and incessant resonating in the use of mobile banking in the financial sector (e.g. Alalwan et al., 2017; Gupta, 2013; Lin, 2011; Rana et al., 2017; Shaikh and Karjaluoto, 2015; Zhang et al., 2018; Zhou, 2012b).”
A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, background): “The result is consistent with the ﬁ ndings of the previous studies (Lin, 2011; Zhou, 2011e, 2012a ).”
Investigating users' perspectives on e-learning: An integration of TAM and IS success model (2015, methodology): “…using a seven-point Likert scale: perceived usefulness and perceived ease of use were adopted from Kim and Mirusmonov (2010), intention to use from Lin (2011), system, service, and information quality, and satisfaction from DeLone and McLean (2003), and educational quality along with actual use…”
Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017, background): “Examining and explaining customer intentions and the adoption of Mobile banking have been recently the focus for scholars and practitioners worldwide, and this issue has seen a dramatic growth in the relevant literature of online banking channels (Gu et al., 2009; Lin, 2011; Purwanegara et al., 2014”
An investigation of users’ continuance intention towards mobile banking in China (2016, background): “In addition, perceived risk (Cruz et al., 2010; Chen, 2013): initial trust (Zhou, 2011a): trust (Koo and Wati, 2010): flow experience (Zhou, 2012): innovation attributes and knowledge-based trust (Lin, 2011) are also validated to have positive/negative effects.”
Examining mobile banking user adoption from the perspectives of trust and flow experience (2011, background): “Lin [19] integrated innovation diffusion theory (IDT) and trust theory to examine mobile banking adoption.”
Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, methodology): “The measurement items of these constructs are adopted from prior research on internet and mobile banking [e.g. Kuisma et al. 2007; Lee & Chung 2009; Lin 2011; Ndubisi & Sinti 2006; Poon 2008; Rogers 2003; Tan & Teo 2000] and adapted for this study.”