2019
DOI: 10.1016/j.ijinfomgt.2019.07.005
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Uncovering unobserved heterogeneity bias: Measuring mobile banking system success

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Cited by 27 publications
(34 citation statements)
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References 36 publications
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“…The factor has an estimated value of 0.534 and a probability of less than α 1% (0.001 < 0.01). This result is supported by Motiwalla et al (2019) who revealed that, in Islamic banking, an excellent application system provides reliable information, and data integrity will improve the customer's satisfaction. The reason is the better, more effective the application system leads to the perceived usefulness.…”
Section: Hypothesis Testingmentioning
confidence: 68%
See 1 more Smart Citation
“…The factor has an estimated value of 0.534 and a probability of less than α 1% (0.001 < 0.01). This result is supported by Motiwalla et al (2019) who revealed that, in Islamic banking, an excellent application system provides reliable information, and data integrity will improve the customer's satisfaction. The reason is the better, more effective the application system leads to the perceived usefulness.…”
Section: Hypothesis Testingmentioning
confidence: 68%
“…Particularly in an Islamic mobile banking system, the system can provide time, prayer, budget information, current gold value, and other things that are updatable all the time. The m-banking system implies that it provides net benefits and data integrity for customers, which may significantly affect customer satisfaction (Motiwalla et al, 2019). A better application system will increase usage by customers because they receive benefits, excellent service quality, and data security in banking activities; customer satisfaction is thus higher (Sharma and Sharma, 2019).…”
Section: Application System Dimensionmentioning
confidence: 99%
“…Furthermore, these five factors have been investigated by other scholars as having significant impacts on customer behaviour in the MB context. We highlight these scholars and the factors below in table 1: (Baabdullah, Alalwan, Rana, Kizgin, et al, 2019;Choudrie et al, 2018;Lee & Chung, 2009;Motiwalla et al, 2019;Sharma & Sharma, 2019;Tam & Oliveira, 2016a, 2016b, 2017Zhou, 2011Zhou, , 2012 Information quality (Baabdullah, Alalwan, Rana, Kizgin, et al, 2019;Lee & Chung, 2009;Motiwalla et al, 2019;Sharma & Sharma, 2019;Tam & Oliveira, 2016b, 2017Trabelsi-Zoghlami, Berraies, & Ben Yahia, 2018;Zhou, 2011Zhou, , 2012 Service quality (Baabdullah, Alalwan, Rana, Kizgin, et al, 2019;Choudrie et al, 2018;Sharma & Sharma, 2019;Tam & Oliveira, 2016b, 2017Thakur, 2014;Zhou, 2012) (Baabdullah, Alalwan, Rana, Patil, & Dwivedi, 2019;Choudrie et al, 2018;Malaquias & Hwang, 2016;Oliveira et al, 2014;Tam & Oliveira, 2016b) Structural assurance (Baptista & Oliveira, 2016;Gu, Lee, & Suh, 2009;Kim G, Shin, & Lee, 2009;Oliveira et al, 2014;Priya, Gandhi, & Shaikh, 2018;Susanto, Chang, & Ha, 2016;Z...…”
Section: The Conceptual Modelmentioning
confidence: 99%
“…Information quality has been confirmed as one of the main factors that influences trust, satisfaction and use in an information systems and e-business context (Motiwalla et al, 2019;Oliveira et al, 2017). Thus, in defining information quality, Ghasemaghaei and Hassanein (2016) argue that good quality information includes accuracy, relevance, timeliness, completeness, and accessibility.…”
Section: Information Qualitymentioning
confidence: 99%
“…The IS success model is a strong and valid model for measuring the success of mpayment systems (Motiwalla et al, 2019). It is important to satisfy m-payment users and ensure their continued use of m-payment, so it is essential to understand which quality characteristics matter to them, such as faster service and lower cost (Apanasevic et al, 2016).…”
Section: Ijbm 387mentioning
confidence: 99%