Mapping the reasons for resistance to Internet banking: A means-end approach

By Tuire Kuisma, Tommi Laukkanen, Mika Hiltunen. International Journal of Information Management, 2007

619 citations recorded by the source corpus.

Subfields: Food Science, Organizational Behavior and Human Resource Management, Social Psychology

View Paper: https://www.semanticscholar.org/paper/da4f878b646b414f367530b2069c95a4148f52e3

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Citations in the corpus

Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, background): “transactions, which can result in substantial losses (Hubert et al., 2017; Kuisma et al., 2007; Lee, 2009).”
Consumer acceptance of internet banking: the influence of internet trust (2008, neutral): “(Akinci et al. 2004; Eriksson et al. 2008; Karjaluoto et al. 2002; Kuisma et al. 2007; Laforet and Li, 2005; Mukherjee and Nath, 2003; Rotchanakitumnuai and Speece, 2003; Sukkar and Hasan, 2005; Wan et al. 2005).”
Online shopping drivers and barriers for older adults: Age and gender differences (2014, background): “Kuisma et al. (2007) also found that functional and psychological barriers can explain users’ resistance toward Internet banking. Lian, Liu, and Liu (2012) applied this theory to understanding user acceptance of online shopping and found that value and image barriers are critical barriers causing us”
How to overcome pro-change Bias: : Incorporating passive and active innovation resistance in innovation decision models (2014, background): “At this moment, depending on the consumer’s inclination to resist changes and status quo satisfaction, a certain level of passive innovation resistance arises (Kuisma et al., 2007).”
The role of information in mobile banking resistance (2010, background): “Earlier literature has claimed that in case of banking technologies, for example, some non-adopters have suffered from lack of information (Kuisma et al., 2007), knowledge (Gerrard et al.”
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018, background): “An increase in security risk perception can lead to users’ resistance of mobile banking (Kuisma et al., 2007).”
A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust (2019, background): “This has been re ﬂ ected in many studies, listing security as one of the most critical barriers facing mobile and e-banking acceptance and growth [12,61,99 – 101].”
Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit (2009, background): “…online banking provides many advantages, such as faster transaction speed and lower handling fees (Kalakota and Whinston, 1997), there are still a large group of customers who refuse to adopt such services due to uncertainty and security concerns (Kuisma et al., 2007; Littler and Melanthiou, 2006).”
A systematic review of Internet banking adoption (2014, neutral): “…and Mazzon, 2007) Hernandez and Mazzon 2007 Brazil R TAM (2), DTPB 59 (Kivijarvi et al., 2007) Kivijarvi et al. 2007 Finland, Portugal D/C P – 60 (Kuisma et al., 2007) Kuisma et al. 2007 Finland D/C Ch Mean-End Theory 61 (Laukkanen, 2007) Laukkanen 2007 Finland D/C Ch Mean-End Theory 62…”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “Identifying the factors that impact the level of actual use of a technology has been perceived as an essential aim for changing the characteristics of a given technological service to make its adoption more attractive (Baabdullah et al., 2018; Kuisma et al., 2007).”