Bank becomes cashless: Determinants of acceptance of mobile banking (fintech) services among banking service users
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Author(s)K. M. Anwarul IslamLink to ORCID Index: https://orcid.org/0000-0002-5305-6724
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Zulfiqar Hasan
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Tawfiq Taleb TawfiqLink to ORCID Index: https://orcid.org/0000-0003-0666-875X
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Abul Bashar BhuiyanLink to ORCID Index: https://orcid.org/0000-0003-1763-124X
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Md. Faisal-E-AlamLink to ORCID Index: https://orcid.org/0000-0002-7341-7945
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DOIhttp://dx.doi.org/10.21511/bbs.19(2).2024.03
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Article InfoVolume 19 2024, Issue #2, pp. 30-39
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- 318 Views
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141 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Fintech services such as mobile banking are gaining significant acceptance among the citizens in Bangladesh. Therefore, this study aims to explore the determinants that influence banking service users’ decisions to accept and use fintech services such as mobile banking in an emerging market, specifically in Bangladesh. A questionnaire was developed and distributed to individuals actively using banking services in Bangladesh. A total of 400 questionnaires were distributed to individuals who have active bank accounts. This study obtained a total of 315 valid responses that were deemed suitable for inclusion in the data analysis, with a response rate of 78.75%. Furthermore, a five-point Likert scale was utilized to evaluate the responses to the item-based questionnaire. To evaluate the hypotheses, a significance level of 5% was applied, and the data pertaining to the subject matter and purpose of this study were examined using the SPSS v.29. The results of the study display that the acceptance of mobile banking (fintech) services is pronouncedly shaped by perceived trust, privacy, and security but not by perceived risk. Importantly, perceived security (β value = 0.302) has the greatest impact on mobile banking acceptance among customers compared to other variables. This study contributes to the literature by investigating the propensity of using Fintech services within the context of mobile banking.
- Keywords
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JEL Classification (Paper profile tab)G21, M10, M31
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References51
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Tables7
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Figures1
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- Figure 1. Research framework
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- Table 1. References for the design of interview questionnaires
- Table 2. Examinations of reliability and validity measures
- Table 3. Examination of sociodemographic details
- Table 4. Correlation matrix
- Table 5. Snapshot of the regression model examination
- Table 6. Brief results of the regression coefficient
- Table 7. Snapshot of t-test for sexual identity
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Perceived health risk, online retail ethics, and consumer behavior within online shopping during the COVID-19 pandemic
Yuniarti Fihartini ,
Arief Helmi ,
Meydia Hassan ,
Yevis Marty Oesman
doi: http://dx.doi.org/10.21511/im.17(3).2021.02
Innovative Marketing Volume 17, 2021 Issue #3 pp. 17-29 Views: 3950 Downloads: 1526 TO CITE АНОТАЦІЯThe risk of virus contracting during the COVID-19 pandemic has changed consumer preference for online shopping to meet their daily needs than shopping in brick-and-mortar stores. Online shopping presents a different environment, atmosphere, and experience. The possibility of ethical violations is higher during online than face-to-face transactions. Therefore, this study was conducted to investigate the influence of perceived health risk and customer perception of online retail ethics on consumer online shopping behavior during the COVID-19 pandemic, involving seven variables, namely perceived health risk, security, privacy, non-deception, reliability fulfillment, service recovery, and online shopping behavior. The data were collected through an online survey by employing the purposive sampling technique to a consumer who has shopped online during the COVID-19 pandemic in Indonesia. 315 valid responses were obtained and analyzed through quantitative method using SEM-Amos. The results showed that perceived health risk and four variables of online retail ethics including security, privacy, reliability fulfillment, and service recovery affected online shopping behavior. Meanwhile, non-deception was found to have an insignificant effect. The coefficient value proved perceived health risk to be more dominant in influencing online shopping behavior than the variables of online retail ethics. Thus, consumers pay more concern for their health during online shopping. However, positive consumer perceptions of the behavior of online retail websites in providing services also can encourage consumers to shop online during this pandemic.
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Adoption of Mobile Banking and Perceived Risk in GCC
Kavita Chavali ,
Ajith Kumar
doi: http://dx.doi.org/10.21511/bbs.13(1).2018.07
Banks and Bank Systems Volume 13, 2018 Issue #1 pp. 72-79 Views: 2300 Downloads: 509 TO CITE АНОТАЦІЯThe study deals with the adoption of mobile banking services by respondents in UAE and the perception of risk factors by them. A model was developed on the Customer Adoption Process of mobile banking. The model is validated based on the data collected using the questionnaire from a sample of 90 respondents in UAE. Factor analysis is used to evaluate and analyze the responses. Belief in technology and the value it creates are the major driving force for respondents to adopt mobile banking. Respondents perceive that mobile banking helps in proper financial planning due to continuous monitoring the transactions and time saving. Lack of privacy in the mobile banking transactions and not all banks offering mobile banking services in UAE are the major challenges perceived by the respondents for non-adoption of mobile banking. Respondents identify time risk, financial risk and performance risk as the most predominant risk factors compared to other risks in the adoption process.
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Regulating Big Data effects in the European insurance market
Donatella Porrini
doi: http://dx.doi.org/10.21511/ins.08(1).2017.01
Insurance Markets and Companies Volume 8, 2017 Issue #1 pp. 6-15 Views: 1991 Downloads: 350 TO CITE АНОТАЦІЯThe article analyzes the regulatory framework in the insurance market in connection with the advent of Big Data, such as information collected from different sources that can be manipulated by new technologies. The use of Big Data offers significant opportunities to the insurance companies in terms of digitization of the distribution channels and greater knowledge of the customers, which is instrumental to a more effective identification of the individual’s risk profile, as well as improvement of the competitiveness. However, regulatory measures are needed for a proper use of Big Data in terms of respect of the individual privacy, potential discrimination and constraint on competition.
