Internet vs mobile banking: comparing customer value perceptions
By Tommi Laukkanen. Business Process Management Journal, 2007
475 citations recorded by the source corpus.
Subfields: Marketing, Organizational Behavior and Human Resource Management, Social Psychology
View Paper: https://www.semanticscholar.org/paper/891cd4aec1b37cbdd195671aed30e378b772f126
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Payam Hanafizadeh
- Abdullah Mohammed Baabdullah
- Rosa E. Rios
- Hernan Riquelme
- L. Wessels
In Organizational Behavior and Human Resource Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Kuttimani Tamilmani
- Pushp P. Patil
- Abdullah Mohammed Baabdullah
- Hatice Kizgin
- Payam Hanafizadeh
In Social Psychology
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Payam Hanafizadeh
- V. Kiviniemi
- Yogesh Kumar Dwivedi
- Abdullah Mohammed Baabdullah
- Rosa E. Rios
- Hernan Riquelme
Citations in the corpus
- A systematic review of Internet banking adoption (2014, background): “In another study, Laukkanen (2007) explains and compares customer value perceptions of IB and mobile banking.”
- An investigation of consumer acceptance of M-Banking in Australia (2010, background): “Despite its many advantages, the use of mobile phones in banking services is still in its infancy and Internet banking retains its position as the leading channel in electronic banking (Laukkanen, 2007).”
- Mobile banking rollout in emerging markets: evidence from Brazil (2010, result): “3 percent) of replies singled out at least one of these motives as a possible obstacle to service adoption, in line with previous statements by Laukkanen and Lauronen (2005). .”
- Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust (2018, background): “This could be returned to many benefits and utilities that customers have by using internet services (Laukkanen, 2007; Lin, 2013).”
- The role of information in mobile banking resistance (2010, background): “For example, some bank customers consider bill payment via mobile phone to be difficult and time consuming as the device enables only a limited amount of information processing and hence, the whole bill is not visible on the display inhibiting the progress in the service process ( Laukkanen, 2007b”
- Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, unknown): “In contrast to traditional banking activities, online banking provides more features and functionalities at a lower cost (Laukkanen, 2007).”
- An investigation of users’ continuance intention towards mobile banking in China (2016, background): “Extant research has focused on examining the factors affecting users’ initial adoption of m-banking (Brown et al., 2003; Laforet and Li, 2005; Laukkanen, 2007; Yang, 2009; Puschel et al., 2010; Dasgupta et al., 2011; Zhou, 2011a; Zhou, 2012; Chen, 2013).”
- The moderating effect of gender in the adoption of mobile banking (2010, background): “Also, mobile devices improve the quality of the service because clients can perform transactions at their convenience wherever and whenever they want it ( Laukkanen, 2007”
- Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services (2010, background): “We believe that the literature associated with e-commerce, particularly Internet banking, may offer valuable insights into innovative mobile banking acceptance because of the congruence in terms of human users facing e-commerce systems, although differences exist in customers' perception of their va”
- Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “Similar to the measurement model, all fit indices of the structural model were observed to be within their acceptable levels as follows: GFI=0.90; AGFI=0.831; NFI=0.922; CFI=0.951; and RMSEA=0.068 ( Hair et al., 2010; Tabachnick and Fidell, 2007).”
- Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017, background): “…through mobile devices, smartphones, or Personal Digital Assistants (PDA) at the time and place that customers choose (Alalwan et al., 2016a, 2016c; Cruz et al., 2010; Laukkanen, 2007a, 2007b; Laukkanen and Cruz, 2009; Lee et al., 2014; Lin, 2011, 2013; Luarn and Lin, 2005; Püschel et al., 2010).”