2018
DOI: 10.1007/s10257-018-0372-4
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Continuous usage intention of Internet banking: a commitment-trust model

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Cited by 79 publications
(89 citation statements)
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References 95 publications
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“…functional and psychological; Laukkanen et al., 2009 ) constructs, namely satisfaction – based on the customer’s cumulative experience rather than being a transaction-specific phenomenon – and trust in a direct bank. These findings are consistent with the most recent findings collected by Yuan et al. (2019) .…”
Section: Introductionsupporting
confidence: 93%
“…functional and psychological; Laukkanen et al., 2009 ) constructs, namely satisfaction – based on the customer’s cumulative experience rather than being a transaction-specific phenomenon – and trust in a direct bank. These findings are consistent with the most recent findings collected by Yuan et al. (2019) .…”
Section: Introductionsupporting
confidence: 93%
“…The collaboration mechanism of the SCM information system is expected to be impacted by blockchain technology [92]. Blockchain will change the process and consensus collaborative management mechanism.…”
Section: Industry 40mentioning
confidence: 99%
“…This is expected to optimize transaction process management, blockchain system consensus, and accounting, among others. The paper discusses a platform architecture design of a data transaction system that is integrated with a new collaboration mechanism based on the blockchain [92]. Concerning the literature on Industry 4.0, the textual and google trends data from 2010 to 2018 show Industry 4.0 trending in SCM [95].…”
Section: Industry 40mentioning
confidence: 99%
“…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). Table 1 presents a summary of the main findings of selected empirical studies based on TAM.…”
Section: Literature Review and Research Hypothesismentioning
confidence: 99%