2019
DOI: 10.1016/j.techsoc.2019.03.003
|View full text |Cite
|
Sign up to set email alerts
|

Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

6
76
0
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
4
1

Relationship

0
10

Authors

Journals

citations
Cited by 119 publications
(84 citation statements)
references
References 55 publications
6
76
0
2
Order By: Relevance
“…Giovanis et al (2019) investigated, which of four well-established theoretical models (i.e., TAM) (Munoz-Leiva et al 2017;Alalwan et al 2018a, b), the theory of planned behaviour (Lee 2008;Yadav et al 2015), UTAUT (Cao and Niu 2019), the decomposed theory of planned behaviour (DTPB) best explains potential users' behavioural intentions (Shareef et al 2018) to adopt mobile banking (MB) services. Moreover, other factors affect each of the steps, respectively, action by the technological leadership, e-trust (Salem et al 2019), e-loyalty (Esterik-Plasmeijer and Raaij 2017; Berraies et al 2016), customers' value, for online personalization, customers' concern, for privacy, and the propensity of technology adoption (Rahi et al 2019). The best prediction of the use of new technologies may require the testing of the principal factors in order to learn about the customers' satisfaction (Thakur 2014;, customer loyalty (Shankar and Jebarajakirthy 2019), word-of-mouth (WOM) (Sampaio et al 2017) intention, andadoption (Alalwan et al 2018a, b;Siyal et al 2019;Chauhan et al 2019), how customer use the system (Baabdullah et al 2019a, b), and focusing on the role of users' commitment (Yuan et al 2019), which is called selfservice technologies (Chaouali and El-Hedhli 2019).…”
Section: Literature Review and Research Hypothesismentioning
confidence: 99%
“…Giovanis et al (2019) investigated, which of four well-established theoretical models (i.e., TAM) (Munoz-Leiva et al 2017;Alalwan et al 2018a, b), the theory of planned behaviour (Lee 2008;Yadav et al 2015), UTAUT (Cao and Niu 2019), the decomposed theory of planned behaviour (DTPB) best explains potential users' behavioural intentions (Shareef et al 2018) to adopt mobile banking (MB) services. Moreover, other factors affect each of the steps, respectively, action by the technological leadership, e-trust (Salem et al 2019), e-loyalty (Esterik-Plasmeijer and Raaij 2017; Berraies et al 2016), customers' value, for online personalization, customers' concern, for privacy, and the propensity of technology adoption (Rahi et al 2019). The best prediction of the use of new technologies may require the testing of the principal factors in order to learn about the customers' satisfaction (Thakur 2014;, customer loyalty (Shankar and Jebarajakirthy 2019), word-of-mouth (WOM) (Sampaio et al 2017) intention, andadoption (Alalwan et al 2018a, b;Siyal et al 2019;Chauhan et al 2019), how customer use the system (Baabdullah et al 2019a, b), and focusing on the role of users' commitment (Yuan et al 2019), which is called selfservice technologies (Chaouali and El-Hedhli 2019).…”
Section: Literature Review and Research Hypothesismentioning
confidence: 99%
“…Fintech could reduce the dependence on traditional financial institutions and provide low-cost and higher-value financial services. However, it will incur the issues that are most concerned by consumers, including privacy, information security, and consumer protection, if the involvement and supervision of financial institutions is inadequate [5,6,7]. Overall, the rise of Fintech has brought about a great impact on the banking industry, which has changed the banking ecosystem and even subverted previous business models and service modes [8].…”
Section: Introductionmentioning
confidence: 99%
“…The study found that the D&M model, TAM, and The Task-Technology Fit (TTF) Theories directly affect the acceptance and successful use of mobile money service interoperability. Therefore, the results provided theoretical and empirical support for the newly developed integrated model (Rahi et al, 2019). The results will provide the basis for further refinement of technology acceptance and success models in the emerging mobile money service domain.…”
Section: Conclusion and Areas For Further Studiesmentioning
confidence: 65%